From d7d0423f358256d4d7c82a9099ed067b6323d862 Mon Sep 17 00:00:00 2001 From: ZitengXue <2507456075@qq.com> Date: Mon, 16 Oct 2023 10:22:08 +0800 Subject: [PATCH] decoder --- nohup.out | 33966 ++++++++++++++++ ...tr3d_r50_bert_gridmask_halfdata_decoder.py | 2 +- projects/DETR3D/detr3d/detr3d.py | 7 +- 3 files changed, 33969 insertions(+), 6 deletions(-) diff --git a/nohup.out b/nohup.out index ab79cf6..b0bd627 100644 --- a/nohup.out +++ b/nohup.out @@ -10250,3 +10250,33969 @@ RuntimeError: Connection reset by peer File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 208, in _store_based_barrier worker_count = store.add(store_key, 0) RuntimeError: Connection reset by peer +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launch.py:163: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead + logger.warn( +The module torch.distributed.launch is deprecated and going to be removed in future.Migrate to torch.distributed.run +WARNING:torch.distributed.run:--use_env is deprecated and will be removed in future releases. + Please read local_rank from `os.environ('LOCAL_RANK')` instead. +INFO:torch.distributed.launcher.api:Starting elastic_operator with launch configs: + entrypoint : tools/train.py + min_nodes : 1 + max_nodes : 1 + nproc_per_node : 2 + run_id : none + rdzv_backend : static + rdzv_endpoint : 127.0.0.1:29500 + rdzv_configs : {'rank': 0, 'timeout': 900} + max_restarts : 3 + monitor_interval : 5 + log_dir : None + metrics_cfg : {} + +INFO:torch.distributed.elastic.agent.server.local_elastic_agent:log directory set to: /tmp/torchelastic_gd60q8gl/none_pjsltnvk +INFO:torch.distributed.elastic.agent.server.api:[default] starting workers for entrypoint: python +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous'ing worker group +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/utils/store.py:52: FutureWarning: This is an experimental API and will be changed in future. + warnings.warn( +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous complete for workers. Result: + restart_count=0 + master_addr=127.0.0.1 + master_port=29500 + group_rank=0 + group_world_size=1 + local_ranks=[0, 1] + role_ranks=[0, 1] + global_ranks=[0, 1] + role_world_sizes=[2, 2] + global_world_sizes=[2, 2] + +INFO:torch.distributed.elastic.agent.server.api:[default] Starting worker group +INFO:torch.distributed.elastic.multiprocessing:Setting worker0 reply file to: /tmp/torchelastic_gd60q8gl/none_pjsltnvk/attempt_0/0/error.json +INFO:torch.distributed.elastic.multiprocessing:Setting worker1 reply file to: /tmp/torchelastic_gd60q8gl/none_pjsltnvk/attempt_0/1/error.json +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +10/11 22:58:32 - mmengine - INFO - +------------------------------------------------------------ +System environment: + sys.platform: linux + Python: 3.8.18 (default, Sep 11 2023, 13:40:15) [GCC 11.2.0] + CUDA available: True + numpy_random_seed: 153083999 + GPU 0,1: NVIDIA GeForce RTX 4090 + CUDA_HOME: /usr/local/cuda-11.7 + NVCC: Cuda compilation tools, release 11.7, V11.7.64 + GCC: gcc (Ubuntu 9.5.0-3ubuntu1) 9.5.0 + PyTorch: 1.9.0+cu111 + PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + + TorchVision: 0.10.0+cu111 + OpenCV: 4.8.0 + MMEngine: 0.8.4 + +Runtime environment: + cudnn_benchmark: False + mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} + dist_cfg: {'backend': 'nccl'} + seed: 153083999 + Distributed launcher: pytorch + Distributed training: True + GPU number: 2 +------------------------------------------------------------ + +10/11 22:58:34 - mmengine - INFO - Config: +backend_args = None +class_names = [ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', +] +custom_imports = dict(imports=[ + 'projects.DETR3D.detr3d', +]) +data_prefix = dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts='') +data_root = 'data/nuscenes/' +dataset_type = 'NuScenesDataset' +default_hooks = dict( + checkpoint=dict( + _scope_='mmdet3d', + interval=1, + max_keep_ckpts=1, + save_last=True, + type='CheckpointHook'), + logger=dict(_scope_='mmdet3d', interval=50, type='LoggerHook'), + param_scheduler=dict(_scope_='mmdet3d', type='ParamSchedulerHook'), + sampler_seed=dict(_scope_='mmdet3d', type='DistSamplerSeedHook'), + timer=dict(_scope_='mmdet3d', type='IterTimerHook'), + visualization=dict(_scope_='mmdet3d', type='Det3DVisualizationHook')) +default_scope = 'mmdet3d' +env_cfg = dict( + cudnn_benchmark=False, + dist_cfg=dict(backend='nccl'), + mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) +img_norm_cfg = dict( + bgr_to_rgb=False, mean=[ + 103.53, + 116.28, + 123.675, + ], std=[ + 1.0, + 1.0, + 1.0, + ]) +input_modality = dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False) +lang_model_name = 'bert-base-uncased' +launcher = 'pytorch' +load_from = 'pretrained/fcos3d.pth' +log_level = 'INFO' +log_processor = dict( + _scope_='mmdet3d', by_epoch=True, type='LogProcessor', window_size=50) +metainfo = dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', +]) +model = dict( + data_preprocessor=dict( + bgr_to_rgb=False, + mean=[ + 103.53, + 116.28, + 123.675, + ], + pad_size_divisor=32, + std=[ + 1.0, + 1.0, + 1.0, + ], + type='Det3DDataPreprocessor'), + encoder=dict( + fusion_layer_cfg=dict( + embed_dim=1024, + init_values=0.0001, + l_dim=256, + num_heads=4, + v_dim=256), + layer_cfg=dict( + ffn_cfg=dict( + embed_dims=256, feedforward_channels=2048, ffn_drop=0.0), + self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_levels=4)), + num_cp=6, + num_layers=6, + text_layer_cfg=dict( + ffn_cfg=dict( + embed_dims=256, feedforward_channels=1024, ffn_drop=0.0), + self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_heads=4))), + img_backbone=dict( + dcn=dict(deform_groups=1, fallback_on_stride=False, type='DCNv2'), + depth=50, + frozen_stages=1, + norm_cfg=dict(requires_grad=False, type='BN2d'), + norm_eval=True, + num_stages=4, + out_indices=( + 0, + 1, + 2, + 3, + ), + stage_with_dcn=( + False, + False, + True, + True, + ), + style='caffe', + type='mmdet.ResNet'), + img_neck=dict( + add_extra_convs='on_output', + in_channels=[ + 256, + 512, + 1024, + 2048, + ], + num_outs=4, + out_channels=256, + relu_before_extra_convs=True, + start_level=1, + type='mmdet.FPN'), + language_model=dict( + add_pooling_layer=False, + name='bert-base-uncased', + pad_to_max=False, + special_tokens_list=[ + '[CLS]', + '[SEP]', + '.', + '?', + ], + type='BertModel', + use_sub_sentence_represent=True), + positional_encoding_single=dict( + normalize=True, num_feats=128, offset=0.0, temperature=20), + pts_bbox_head=dict( + as_two_stage=False, + bbox_coder=dict( + max_num=300, + num_classes=10, + pc_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + post_center_range=[ + -61.2, + -61.2, + -10.0, + 61.2, + 61.2, + 10.0, + ], + type='NMSFreeCoder', + voxel_size=[ + 0.2, + 0.2, + 8, + ]), + in_channels=256, + loss_bbox=dict(loss_weight=0.25, type='mmdet.L1Loss'), + loss_cls=dict( + alpha=0.25, + gamma=2.0, + loss_weight=2.0, + type='mmdet.FocalLoss', + use_sigmoid=True), + loss_iou=dict(loss_weight=0.0, type='mmdet.GIoULoss'), + num_classes=10, + num_query=900, + positional_encoding=dict( + normalize=True, + num_feats=128, + offset=-0.5, + type='mmdet.SinePositionalEncoding'), + sync_cls_avg_factor=True, + transformer=dict( + decoder=dict( + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + attn_cfgs=[ + dict( + dropout=0.1, + embed_dims=256, + num_heads=8, + type='MultiheadAttention'), + dict( + dropout=0.0, + embed_dims=256, + num_heads=8, + type='MultiheadAttention'), + dict( + embed_dims=256, + num_points=1, + pc_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + type='Detr3DCrossAtten'), + ], + feedforward_channels=512, + ffn_dropout=0.1, + operation_order=( + 'self_attn', + 'norm', + 'self_attn_text', + 'norm', + 'cross_attn', + 'norm', + 'ffn', + 'norm', + ), + type='mmdet.DetrTransformerDecoderLayer'), + type='Detr3DTransformerDecoder'), + type='Detr3DTransformer'), + type='DETR3DHead', + with_box_refine=True), + train_cfg=dict( + pts=dict( + assigner=dict( + cls_cost=dict(type='mmdet.FocalLossCost', weight=2.0), + iou_cost=dict(type='mmdet.IoUCost', weight=0.0), + pc_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + type='HungarianAssigner3D'), + grid_size=[ + 512, + 512, + 1, + ], + out_size_factor=4, + point_cloud_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + voxel_size=[ + 0.2, + 0.2, + 8, + ])), + type='DETR3D', + use_grid_mask=True) +optim_wrapper = dict( + clip_grad=dict(max_norm=35, norm_type=2), + optimizer=dict(lr=0.0002, type='AdamW', weight_decay=0.01), + paramwise_cfg=dict(custom_keys=dict(img_backbone=dict(lr_mult=0.1))), + type='OptimWrapper') +param_scheduler = [ + dict( + begin=0, + by_epoch=False, + end=500, + start_factor=0.3333333333333333, + type='LinearLR'), + dict( + T_max=24, + begin=0, + by_epoch=True, + end=24, + eta_min_ratio=0.001, + type='CosineAnnealingLR'), +] +point_cloud_range = [ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, +] +resume = False +test_cfg = dict(type='TestLoop') +test_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='nuscenes_infos_val.pkl', + backend_args=None, + box_type_3d='LiDAR', + data_prefix=dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts=''), + data_root='data/nuscenes/', + load_type='frame_based', + metainfo=dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ]), + modality=dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False), + pipeline=[ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + transforms=[ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict(keys=[ + 'img', + ], type='Pack3DDetInputs'), + ], + test_mode=True, + type='NuScenesDataset'), + drop_last=False, + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +test_evaluator = dict( + ann_file='data/nuscenes/nuscenes_infos_val.pkl', + backend_args=None, + data_root='data/nuscenes/', + metric='bbox', + type='NuScenesMetric') +test_pipeline = [ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + transforms=[ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict(keys=[ + 'img', + ], type='Pack3DDetInputs'), +] +test_transforms = [ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), +] +total_epochs = 24 +train_cfg = dict(max_epochs=24, type='EpochBasedTrainLoop', val_interval=1) +train_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='nuscenes_infos_train.pkl', + backend_args=None, + box_type_3d='LiDAR', + data_prefix=dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts=''), + data_root='data/nuscenes/', + load_interval=2, + load_type='frame_based', + metainfo=dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ]), + modality=dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False), + pipeline=[ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + type='LoadAnnotations3D', + with_attr_label=False, + with_bbox_3d=True, + with_label_3d=True), + dict( + transforms=[ + dict(type='PhotoMetricDistortion3D'), + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict( + point_cloud_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + type='ObjectRangeFilter'), + dict( + classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ], + type='ObjectNameFilter'), + dict( + keys=[ + 'img', + 'gt_bboxes_3d', + 'gt_labels_3d', + ], + type='Pack3DDetInputs'), + ], + test_mode=False, + type='NuScenesDataset'), + drop_last=False, + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=True, type='DefaultSampler')) +train_pipeline = [ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + type='LoadAnnotations3D', + with_attr_label=False, + with_bbox_3d=True, + with_label_3d=True), + dict( + transforms=[ + dict(type='PhotoMetricDistortion3D'), + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict( + point_cloud_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + type='ObjectRangeFilter'), + dict( + classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ], + type='ObjectNameFilter'), + dict( + keys=[ + 'img', + 'gt_bboxes_3d', + 'gt_labels_3d', + ], type='Pack3DDetInputs'), +] +train_transforms = [ + dict(type='PhotoMetricDistortion3D'), + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), +] +val_cfg = dict(type='ValLoop') +val_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='nuscenes_infos_val.pkl', + backend_args=None, + box_type_3d='LiDAR', + data_prefix=dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts=''), + data_root='data/nuscenes/', + load_type='frame_based', + metainfo=dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ]), + modality=dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False), + pipeline=[ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + transforms=[ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict(keys=[ + 'img', + ], type='Pack3DDetInputs'), + ], + test_mode=True, + type='NuScenesDataset'), + drop_last=False, + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +val_evaluator = dict( + ann_file='data/nuscenes/nuscenes_infos_val.pkl', + backend_args=None, + data_root='data/nuscenes/', + metric='bbox', + type='NuScenesMetric') +vis_backends = [ + dict(type='TensorboardVisBackend'), +] +visualizer = dict( + name='visualizer', + type='Det3DLocalVisualizer', + vis_backends=[ + dict(type='TensorboardVisBackend'), + ]) +voxel_size = [ + 0.2, + 0.2, + 8, +] +work_dir = './work_dirs/detr3d_r50_bert_gridmask_halfdata_decoder' + +10/11 22:58:46 - mmengine - INFO - Autoplay mode, press [SPACE] to pause. +10/11 22:58:46 - mmengine - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) RuntimeInfoHook +(BELOW_NORMAL) LoggerHook + -------------------- +before_train: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_train_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(NORMAL ) DistSamplerSeedHook + -------------------- +before_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook + -------------------- +after_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_train_epoch: +(NORMAL ) IterTimerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_val_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_val_iter: +(NORMAL ) IterTimerHook + -------------------- +after_val_iter: +(NORMAL ) IterTimerHook +(NORMAL ) Det3DVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_val_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_train: +(VERY_HIGH ) RuntimeInfoHook +(VERY_LOW ) CheckpointHook + -------------------- +before_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_test_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_test_iter: +(NORMAL ) IterTimerHook + -------------------- +after_test_iter: +(NORMAL ) IterTimerHook +(NORMAL ) Det3DVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_run: +(BELOW_NORMAL) LoggerHook + -------------------- +10/11 23:01:18 - mmengine - INFO - ------------------------------ +10/11 23:01:18 - mmengine - INFO - The length of the dataset: 14065 +10/11 23:01:18 - mmengine - INFO - The number of instances per category in the dataset: ++----------------------+--------+ +| category | number | ++----------------------+--------+ +| car | 206689 | +| truck | 36393 | +| construction_vehicle | 5990 | +| bus | 6576 | +| trailer | 10349 | +| barrier | 62576 | +| motorcycle | 5051 | +| bicycle | 4740 | +| pedestrian | 92925 | +| traffic_cone | 41120 | ++----------------------+--------+ +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.downsample.0.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.downsample.0.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.downsample.0.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.bias:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.bias:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.bias:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.downsample.0.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.downsample.0.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.downsample.0.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.bias:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.bias:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.bias:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.bias:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.bias:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.bias:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.bias:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.bias:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.bias:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.bias:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.bias:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.bias:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.bias:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.bias:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.bias:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.bias:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.bias:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.bias:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.downsample.0.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.downsample.0.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.downsample.0.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.bias:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.bias:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.bias:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv3.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv1.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv1.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv1.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.weight:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.bias:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.bias:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.bias:lr_mult=0.1 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv3.weight:lr=2e-05 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv3.weight:weight_decay=0.01 +10/11 23:01:18 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv3.weight:lr_mult=0.1 +/home/xzt/mmdetection3d-1.1.0/mmdet3d/evaluation/functional/kitti_utils/eval.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. + def get_thresholds(scores: np.ndarray, num_gt, num_sample_pts=41): +10/11 23:02:04 - mmengine - INFO - ------------------------------ +10/11 23:02:04 - mmengine - INFO - The length of the dataset: 6019 +10/11 23:02:04 - mmengine - INFO - The number of instances per category in the dataset: ++----------------------+--------+ +| category | number | ++----------------------+--------+ +| car | 80004 | +| truck | 15704 | +| construction_vehicle | 2678 | +| bus | 3158 | +| trailer | 4159 | +| barrier | 26992 | +| motorcycle | 2508 | +| bicycle | 2381 | +| pedestrian | 34347 | +| traffic_cone | 15597 | ++----------------------+--------+ +/home/xzt/mmdetection3d-1.1.0/mmdet3d/evaluation/functional/kitti_utils/eval.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. + def get_thresholds(scores: np.ndarray, num_gt, num_sample_pts=41): +Loads checkpoint by local backend from path: pretrained/fcos3d.pth +Loads checkpoint by local backend from path: pretrained/fcos3d.pth +The model and loaded state dict do not match exactly + +unexpected key in source state_dict: bbox_head.bld_alpha, bbox_head.cls_convs.0.conv.weight, bbox_head.cls_convs.0.conv.bias, bbox_head.cls_convs.0.gn.weight, bbox_head.cls_convs.0.gn.bias, bbox_head.cls_convs.1.conv.weight, bbox_head.cls_convs.1.conv.bias, bbox_head.cls_convs.1.conv.conv_offset.weight, bbox_head.cls_convs.1.conv.conv_offset.bias, bbox_head.cls_convs.1.gn.weight, bbox_head.cls_convs.1.gn.bias, bbox_head.reg_convs.0.conv.weight, bbox_head.reg_convs.0.conv.bias, bbox_head.reg_convs.0.gn.weight, bbox_head.reg_convs.0.gn.bias, bbox_head.reg_convs.1.conv.weight, 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language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.bias, text_feat_map.weight, text_feat_map.bias + +10/11 23:02:08 - mmengine - INFO - Load checkpoint from pretrained/fcos3d.pth +10/11 23:02:08 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io +10/11 23:02:08 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. +10/11 23:02:08 - mmengine - INFO - Checkpoints will be saved to /home/xzt/mmdetection3d-1.1.0/work_dirs/detr3d_r50_bert_gridmask_halfdata_decoder. +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.) + return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode) +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmcv/cnn/bricks/transformer.py:524: UserWarning: position encoding of key ismissing in MultiheadAttention. + warnings.warn(f'position encoding of key is' +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:3981: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.) + return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode) +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmcv/cnn/bricks/transformer.py:524: UserWarning: position encoding of key ismissing in MultiheadAttention. + warnings.warn(f'position encoding of key is' +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:3981: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. + warnings.warn( +/home/xzt/mmdetection3d-1.1.0/projects/DETR3D/detr3d/grid_mask.py:132: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.) + mask = torch.from_numpy(mask).to(x) +/home/xzt/mmdetection3d-1.1.0/projects/DETR3D/detr3d/grid_mask.py:132: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.) + mask = torch.from_numpy(mask).to(x) +10/11 23:02:45 - mmengine - INFO - Epoch(train) [1][ 50/7033] base_lr: 7.9760e-05 lr: 7.9760e-05 eta: 1 day, 10:45:52 time: 0.7417 data_time: 0.0925 memory: 11851 grad_norm: 91.7007 loss: 20.0758 loss_cls: 1.6244 loss_bbox: 1.7584 d0.loss_cls: 1.6381 d0.loss_bbox: 1.7169 d1.loss_cls: 1.6258 d1.loss_bbox: 1.7129 d2.loss_cls: 1.5943 d2.loss_bbox: 1.7300 d3.loss_cls: 1.5968 d3.loss_bbox: 1.7308 d4.loss_cls: 1.6236 d4.loss_bbox: 1.7240 +10/11 23:03:19 - mmengine - INFO - Epoch(train) [1][ 100/7033] base_lr: 9.3120e-05 lr: 9.3120e-05 eta: 1 day, 9:24:50 time: 0.6845 data_time: 0.0481 memory: 11851 grad_norm: 65.0455 loss: 17.3405 loss_cls: 1.2267 loss_bbox: 1.6603 d0.loss_cls: 1.2262 d0.loss_bbox: 1.6634 d1.loss_cls: 1.2365 d1.loss_bbox: 1.6778 d2.loss_cls: 1.2167 d2.loss_bbox: 1.6500 d3.loss_cls: 1.2228 d3.loss_bbox: 1.6688 d4.loss_cls: 1.2281 d4.loss_bbox: 1.6632 +10/11 23:03:56 - mmengine - INFO - Epoch(train) [1][ 150/7033] base_lr: 1.0648e-04 lr: 1.0648e-04 eta: 1 day, 9:46:46 time: 0.7371 data_time: 0.0469 memory: 11851 grad_norm: 57.8764 loss: 18.6982 loss_cls: 1.3101 loss_bbox: 1.8008 d0.loss_cls: 1.3093 d0.loss_bbox: 1.7721 d1.loss_cls: 1.3236 d1.loss_bbox: 1.7944 d2.loss_cls: 1.3055 d2.loss_bbox: 1.7828 d3.loss_cls: 1.3174 d3.loss_bbox: 1.8253 d4.loss_cls: 1.3122 d4.loss_bbox: 1.8449 +10/11 23:04:34 - mmengine - INFO - Epoch(train) [1][ 200/7033] base_lr: 1.1984e-04 lr: 1.1984e-04 eta: 1 day, 10:08:25 time: 0.7528 data_time: 0.0468 memory: 11851 grad_norm: 59.4393 loss: 17.0111 loss_cls: 1.2063 loss_bbox: 1.6743 d0.loss_cls: 1.2033 d0.loss_bbox: 1.6028 d1.loss_cls: 1.2222 d1.loss_bbox: 1.6171 d2.loss_cls: 1.1887 d2.loss_bbox: 1.6088 d3.loss_cls: 1.2036 d3.loss_bbox: 1.6076 d4.loss_cls: 1.2139 d4.loss_bbox: 1.6625 +10/11 23:05:11 - mmengine - INFO - Epoch(train) [1][ 250/7033] base_lr: 1.3320e-04 lr: 1.3320e-04 eta: 1 day, 10:21:26 time: 0.7533 data_time: 0.0466 memory: 11851 grad_norm: 58.5556 loss: 16.5527 loss_cls: 1.2047 loss_bbox: 1.5453 d0.loss_cls: 1.1679 d0.loss_bbox: 1.5618 d1.loss_cls: 1.2073 d1.loss_bbox: 1.5811 d2.loss_cls: 1.1614 d2.loss_bbox: 1.5753 d3.loss_cls: 1.2198 d3.loss_bbox: 1.5408 d4.loss_cls: 1.1920 d4.loss_bbox: 1.5952 +10/11 23:05:49 - mmengine - INFO - Epoch(train) [1][ 300/7033] base_lr: 1.4656e-04 lr: 1.4656e-04 eta: 1 day, 10:29:10 time: 0.7517 data_time: 0.0467 memory: 11851 grad_norm: 56.8731 loss: 17.6393 loss_cls: 1.2602 loss_bbox: 1.6597 d0.loss_cls: 1.2448 d0.loss_bbox: 1.7326 d1.loss_cls: 1.2734 d1.loss_bbox: 1.7005 d2.loss_cls: 1.2655 d2.loss_bbox: 1.6655 d3.loss_cls: 1.2645 d3.loss_bbox: 1.6680 d4.loss_cls: 1.2438 d4.loss_bbox: 1.6608 +10/11 23:06:26 - mmengine - INFO - Epoch(train) [1][ 350/7033] base_lr: 1.5992e-04 lr: 1.5992e-04 eta: 1 day, 10:32:27 time: 0.7466 data_time: 0.0475 memory: 11851 grad_norm: 50.7061 loss: 17.8862 loss_cls: 1.2643 loss_bbox: 1.7464 d0.loss_cls: 1.2721 d0.loss_bbox: 1.7526 d1.loss_cls: 1.2606 d1.loss_bbox: 1.7098 d2.loss_cls: 1.2552 d2.loss_bbox: 1.6931 d3.loss_cls: 1.2672 d3.loss_bbox: 1.6987 d4.loss_cls: 1.2390 d4.loss_bbox: 1.7274 +10/11 23:07:04 - mmengine - INFO - Epoch(train) [1][ 400/7033] base_lr: 1.7328e-04 lr: 1.7328e-04 eta: 1 day, 10:35:17 time: 0.7480 data_time: 0.0470 memory: 11851 grad_norm: 58.9139 loss: 18.5710 loss_cls: 1.3945 loss_bbox: 1.7263 d0.loss_cls: 1.3723 d0.loss_bbox: 1.8071 d1.loss_cls: 1.3754 d1.loss_bbox: 1.7165 d2.loss_cls: 1.3561 d2.loss_bbox: 1.6813 d3.loss_cls: 1.3733 d3.loss_bbox: 1.7036 d4.loss_cls: 1.3798 d4.loss_bbox: 1.6848 +10/11 23:07:41 - mmengine - INFO - Epoch(train) [1][ 450/7033] base_lr: 1.8664e-04 lr: 1.8664e-04 eta: 1 day, 10:38:33 time: 0.7519 data_time: 0.0469 memory: 11851 grad_norm: 77.0724 loss: 16.9744 loss_cls: 1.2166 loss_bbox: 1.6137 d0.loss_cls: 1.1783 d0.loss_bbox: 1.6796 d1.loss_cls: 1.2050 d1.loss_bbox: 1.6059 d2.loss_cls: 1.2173 d2.loss_bbox: 1.6002 d3.loss_cls: 1.2449 d3.loss_bbox: 1.5671 d4.loss_cls: 1.2312 d4.loss_bbox: 1.6144 +10/11 23:08:19 - mmengine - INFO - Epoch(train) [1][ 500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:40:35 time: 0.7503 data_time: 0.0469 memory: 11851 grad_norm: 72.1615 loss: 15.4969 loss_cls: 1.1473 loss_bbox: 1.4684 d0.loss_cls: 1.1166 d0.loss_bbox: 1.4941 d1.loss_cls: 1.1179 d1.loss_bbox: 1.4293 d2.loss_cls: 1.1226 d2.loss_bbox: 1.4353 d3.loss_cls: 1.1512 d3.loss_bbox: 1.4429 d4.loss_cls: 1.1352 d4.loss_bbox: 1.4361 +10/11 23:08:56 - mmengine - INFO - Epoch(train) [1][ 550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:40:12 time: 0.7427 data_time: 0.0393 memory: 11851 grad_norm: 84.5562 loss: 17.6629 loss_cls: 1.2891 loss_bbox: 1.6480 d0.loss_cls: 1.2495 d0.loss_bbox: 1.7870 d1.loss_cls: 1.2519 d1.loss_bbox: 1.7026 d2.loss_cls: 1.2583 d2.loss_bbox: 1.6282 d3.loss_cls: 1.2742 d3.loss_bbox: 1.6519 d4.loss_cls: 1.2617 d4.loss_bbox: 1.6604 +10/11 23:09:33 - mmengine - INFO - Epoch(train) [1][ 600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:39:43 time: 0.7424 data_time: 0.0397 memory: 11851 grad_norm: 68.4771 loss: 15.0674 loss_cls: 1.0820 loss_bbox: 1.3632 d0.loss_cls: 1.0713 d0.loss_bbox: 1.4809 d1.loss_cls: 1.0846 d1.loss_bbox: 1.4673 d2.loss_cls: 1.1016 d2.loss_bbox: 1.4145 d3.loss_cls: 1.1136 d3.loss_bbox: 1.4020 d4.loss_cls: 1.1013 d4.loss_bbox: 1.3850 +10/11 23:10:10 - mmengine - INFO - Epoch(train) [1][ 650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:39:11 time: 0.7423 data_time: 0.0394 memory: 11851 grad_norm: 60.5585 loss: 15.3184 loss_cls: 1.1225 loss_bbox: 1.4104 d0.loss_cls: 1.0828 d0.loss_bbox: 1.4717 d1.loss_cls: 1.1145 d1.loss_bbox: 1.5101 d2.loss_cls: 1.1103 d2.loss_bbox: 1.4283 d3.loss_cls: 1.1373 d3.loss_bbox: 1.3829 d4.loss_cls: 1.1446 d4.loss_bbox: 1.4031 +10/11 23:10:48 - mmengine - INFO - Epoch(train) [1][ 700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:40:18 time: 0.7506 data_time: 0.0397 memory: 11851 grad_norm: 69.3710 loss: 16.0287 loss_cls: 1.1564 loss_bbox: 1.5229 d0.loss_cls: 1.1207 d0.loss_bbox: 1.5687 d1.loss_cls: 1.1247 d1.loss_bbox: 1.5601 d2.loss_cls: 1.1447 d2.loss_bbox: 1.5533 d3.loss_cls: 1.1449 d3.loss_bbox: 1.4922 d4.loss_cls: 1.1489 d4.loss_bbox: 1.4912 +10/11 23:11:22 - mmengine - INFO - Epoch(train) [1][ 750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:28:28 time: 0.6825 data_time: 0.0402 memory: 11851 grad_norm: 89.5659 loss: 15.0142 loss_cls: 1.0871 loss_bbox: 1.4420 d0.loss_cls: 1.0440 d0.loss_bbox: 1.4308 d1.loss_cls: 1.0434 d1.loss_bbox: 1.3547 d2.loss_cls: 1.0732 d2.loss_bbox: 1.4962 d3.loss_cls: 1.0819 d3.loss_bbox: 1.4701 d4.loss_cls: 1.0574 d4.loss_bbox: 1.4334 +10/11 23:11:56 - mmengine - INFO - Epoch(train) [1][ 800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:16:29 time: 0.6736 data_time: 0.0401 memory: 11851 grad_norm: 85.1659 loss: 15.7068 loss_cls: 1.1472 loss_bbox: 1.4400 d0.loss_cls: 1.1305 d0.loss_bbox: 1.5227 d1.loss_cls: 1.1330 d1.loss_bbox: 1.4334 d2.loss_cls: 1.1461 d2.loss_bbox: 1.5193 d3.loss_cls: 1.1589 d3.loss_bbox: 1.4754 d4.loss_cls: 1.1504 d4.loss_bbox: 1.4500 +10/11 23:12:29 - mmengine - INFO - Epoch(train) [1][ 850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:05:43 time: 0.6728 data_time: 0.0405 memory: 11851 grad_norm: 100.3460 loss: 15.0372 loss_cls: 1.1044 loss_bbox: 1.3742 d0.loss_cls: 1.0753 d0.loss_bbox: 1.4962 d1.loss_cls: 1.0732 d1.loss_bbox: 1.4172 d2.loss_cls: 1.0953 d2.loss_bbox: 1.4554 d3.loss_cls: 1.0933 d3.loss_bbox: 1.3960 d4.loss_cls: 1.0899 d4.loss_bbox: 1.3669 +10/11 23:13:03 - mmengine - INFO - Epoch(train) [1][ 900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:55:48 time: 0.6710 data_time: 0.0404 memory: 11851 grad_norm: 107.4405 loss: 14.1100 loss_cls: 1.0360 loss_bbox: 1.2999 d0.loss_cls: 1.0111 d0.loss_bbox: 1.4183 d1.loss_cls: 1.0102 d1.loss_bbox: 1.3327 d2.loss_cls: 1.0159 d2.loss_bbox: 1.3083 d3.loss_cls: 1.0173 d3.loss_bbox: 1.3111 d4.loss_cls: 1.0236 d4.loss_bbox: 1.3257 +10/11 23:13:36 - mmengine - INFO - Epoch(train) [1][ 950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:47:18 time: 0.6739 data_time: 0.0405 memory: 11851 grad_norm: 90.0019 loss: 16.4908 loss_cls: 1.1999 loss_bbox: 1.5135 d0.loss_cls: 1.1667 d0.loss_bbox: 1.6236 d1.loss_cls: 1.1818 d1.loss_bbox: 1.5628 d2.loss_cls: 1.1989 d2.loss_bbox: 1.5738 d3.loss_cls: 1.2020 d3.loss_bbox: 1.5723 d4.loss_cls: 1.1786 d4.loss_bbox: 1.5168 +10/11 23:14:10 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231011_225824 +10/11 23:14:10 - mmengine - INFO - Epoch(train) [1][1000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:39:09 time: 0.6708 data_time: 0.0401 memory: 11851 grad_norm: 79.6200 loss: 15.7680 loss_cls: 1.1565 loss_bbox: 1.4300 d0.loss_cls: 1.1250 d0.loss_bbox: 1.5916 d1.loss_cls: 1.1271 d1.loss_bbox: 1.5212 d2.loss_cls: 1.1356 d2.loss_bbox: 1.4948 d3.loss_cls: 1.1353 d3.loss_bbox: 1.4701 d4.loss_cls: 1.1332 d4.loss_bbox: 1.4476 +10/11 23:14:44 - mmengine - INFO - Epoch(train) [1][1050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:31:40 time: 0.6703 data_time: 0.0400 memory: 11851 grad_norm: 71.7207 loss: 15.8202 loss_cls: 1.1390 loss_bbox: 1.4726 d0.loss_cls: 1.1325 d0.loss_bbox: 1.6075 d1.loss_cls: 1.1500 d1.loss_bbox: 1.5103 d2.loss_cls: 1.1273 d2.loss_bbox: 1.4899 d3.loss_cls: 1.1375 d3.loss_bbox: 1.4690 d4.loss_cls: 1.1282 d4.loss_bbox: 1.4565 +10/11 23:15:17 - mmengine - INFO - Epoch(train) [1][1100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:24:54 time: 0.6710 data_time: 0.0405 memory: 11851 grad_norm: 63.6835 loss: 14.1004 loss_cls: 1.0331 loss_bbox: 1.2993 d0.loss_cls: 1.0497 d0.loss_bbox: 1.3881 d1.loss_cls: 1.0262 d1.loss_bbox: 1.3287 d2.loss_cls: 1.0275 d2.loss_bbox: 1.2996 d3.loss_cls: 1.0377 d3.loss_bbox: 1.2911 d4.loss_cls: 1.0184 d4.loss_bbox: 1.3011 +10/11 23:15:51 - mmengine - INFO - Epoch(train) [1][1150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:18:58 time: 0.6735 data_time: 0.0411 memory: 11851 grad_norm: 72.0541 loss: 13.6654 loss_cls: 0.9646 loss_bbox: 1.3136 d0.loss_cls: 0.9506 d0.loss_bbox: 1.4082 d1.loss_cls: 0.9475 d1.loss_bbox: 1.3181 d2.loss_cls: 0.9566 d2.loss_bbox: 1.3053 d3.loss_cls: 0.9583 d3.loss_bbox: 1.2944 d4.loss_cls: 0.9590 d4.loss_bbox: 1.2893 +10/11 23:16:24 - mmengine - INFO - Epoch(train) [1][1200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:13:17 time: 0.6717 data_time: 0.0410 memory: 11851 grad_norm: 68.8624 loss: 14.4802 loss_cls: 1.0554 loss_bbox: 1.3297 d0.loss_cls: 1.0341 d0.loss_bbox: 1.4792 d1.loss_cls: 1.0125 d1.loss_bbox: 1.3903 d2.loss_cls: 1.0403 d2.loss_bbox: 1.3650 d3.loss_cls: 1.0365 d3.loss_bbox: 1.3436 d4.loss_cls: 1.0416 d4.loss_bbox: 1.3521 +10/11 23:16:58 - mmengine - INFO - Epoch(train) [1][1250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:08:22 time: 0.6749 data_time: 0.0407 memory: 11851 grad_norm: 81.0537 loss: 15.1838 loss_cls: 1.0920 loss_bbox: 1.4023 d0.loss_cls: 1.0758 d0.loss_bbox: 1.5459 d1.loss_cls: 1.0625 d1.loss_bbox: 1.4407 d2.loss_cls: 1.0783 d2.loss_bbox: 1.4658 d3.loss_cls: 1.0867 d3.loss_bbox: 1.4189 d4.loss_cls: 1.0930 d4.loss_bbox: 1.4219 +10/11 23:17:32 - mmengine - INFO - Epoch(train) [1][1300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:03:34 time: 0.6729 data_time: 0.0404 memory: 11851 grad_norm: 69.1227 loss: 15.1567 loss_cls: 1.1104 loss_bbox: 1.4030 d0.loss_cls: 1.0824 d0.loss_bbox: 1.5449 d1.loss_cls: 1.0537 d1.loss_bbox: 1.4469 d2.loss_cls: 1.0972 d2.loss_bbox: 1.4288 d3.loss_cls: 1.0906 d3.loss_bbox: 1.4023 d4.loss_cls: 1.0907 d4.loss_bbox: 1.4058 +10/11 23:18:05 - mmengine - INFO - Epoch(train) [1][1350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:58:53 time: 0.6710 data_time: 0.0406 memory: 11851 grad_norm: 63.3198 loss: 15.0011 loss_cls: 1.0642 loss_bbox: 1.4222 d0.loss_cls: 1.0397 d0.loss_bbox: 1.5446 d1.loss_cls: 1.0249 d1.loss_bbox: 1.4601 d2.loss_cls: 1.0658 d2.loss_bbox: 1.4424 d3.loss_cls: 1.0521 d3.loss_bbox: 1.4184 d4.loss_cls: 1.0389 d4.loss_bbox: 1.4277 +10/11 23:18:39 - mmengine - INFO - Epoch(train) [1][1400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:54:27 time: 0.6705 data_time: 0.0411 memory: 11851 grad_norm: 60.9547 loss: 13.7408 loss_cls: 1.0014 loss_bbox: 1.2840 d0.loss_cls: 0.9742 d0.loss_bbox: 1.4080 d1.loss_cls: 0.9724 d1.loss_bbox: 1.3076 d2.loss_cls: 0.9750 d2.loss_bbox: 1.2987 d3.loss_cls: 0.9843 d3.loss_bbox: 1.2882 d4.loss_cls: 0.9729 d4.loss_bbox: 1.2742 +10/11 23:19:12 - mmengine - INFO - Epoch(train) [1][1450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:50:07 time: 0.6689 data_time: 0.0408 memory: 11851 grad_norm: 51.7529 loss: 12.8316 loss_cls: 0.9346 loss_bbox: 1.2005 d0.loss_cls: 0.9069 d0.loss_bbox: 1.3297 d1.loss_cls: 0.9133 d1.loss_bbox: 1.2254 d2.loss_cls: 0.9218 d2.loss_bbox: 1.1969 d3.loss_cls: 0.9232 d3.loss_bbox: 1.1759 d4.loss_cls: 0.9259 d4.loss_bbox: 1.1774 +10/11 23:19:46 - mmengine - INFO - Epoch(train) [1][1500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:46:11 time: 0.6704 data_time: 0.0403 memory: 11851 grad_norm: 57.2342 loss: 13.3761 loss_cls: 0.9566 loss_bbox: 1.2652 d0.loss_cls: 0.9646 d0.loss_bbox: 1.3654 d1.loss_cls: 0.9452 d1.loss_bbox: 1.2655 d2.loss_cls: 0.9642 d2.loss_bbox: 1.2379 d3.loss_cls: 0.9576 d3.loss_bbox: 1.2463 d4.loss_cls: 0.9635 d4.loss_bbox: 1.2439 +10/11 23:20:19 - mmengine - INFO - Epoch(train) [1][1550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:42:30 time: 0.6707 data_time: 0.0409 memory: 11851 grad_norm: 56.4111 loss: 12.5253 loss_cls: 0.8991 loss_bbox: 1.1773 d0.loss_cls: 0.9106 d0.loss_bbox: 1.2743 d1.loss_cls: 0.8871 d1.loss_bbox: 1.1828 d2.loss_cls: 0.8954 d2.loss_bbox: 1.1682 d3.loss_cls: 0.8809 d3.loss_bbox: 1.1745 d4.loss_cls: 0.8899 d4.loss_bbox: 1.1852 +10/11 23:20:53 - mmengine - INFO - Epoch(train) [1][1600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:38:59 time: 0.6705 data_time: 0.0410 memory: 11851 grad_norm: 51.6460 loss: 12.3469 loss_cls: 0.9033 loss_bbox: 1.1317 d0.loss_cls: 0.8743 d0.loss_bbox: 1.2711 d1.loss_cls: 0.8666 d1.loss_bbox: 1.1803 d2.loss_cls: 0.8845 d2.loss_bbox: 1.1520 d3.loss_cls: 0.8966 d3.loss_bbox: 1.1477 d4.loss_cls: 0.8925 d4.loss_bbox: 1.1464 +10/11 23:21:26 - mmengine - INFO - Epoch(train) [1][1650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:35:30 time: 0.6686 data_time: 0.0404 memory: 11851 grad_norm: 48.7069 loss: 11.7933 loss_cls: 0.8608 loss_bbox: 1.0767 d0.loss_cls: 0.8657 d0.loss_bbox: 1.1886 d1.loss_cls: 0.8433 d1.loss_bbox: 1.1289 d2.loss_cls: 0.8465 d2.loss_bbox: 1.0924 d3.loss_cls: 0.8510 d3.loss_bbox: 1.0960 d4.loss_cls: 0.8566 d4.loss_bbox: 1.0868 +10/11 23:22:00 - mmengine - INFO - Epoch(train) [1][1700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:32:13 time: 0.6691 data_time: 0.0405 memory: 11851 grad_norm: 55.1127 loss: 13.3507 loss_cls: 0.9540 loss_bbox: 1.2758 d0.loss_cls: 0.9536 d0.loss_bbox: 1.3743 d1.loss_cls: 0.9167 d1.loss_bbox: 1.2749 d2.loss_cls: 0.9305 d2.loss_bbox: 1.2664 d3.loss_cls: 0.9391 d3.loss_bbox: 1.2485 d4.loss_cls: 0.9522 d4.loss_bbox: 1.2648 +10/11 23:22:33 - mmengine - INFO - Epoch(train) [1][1750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:29:02 time: 0.6684 data_time: 0.0404 memory: 11851 grad_norm: 49.1181 loss: 15.1056 loss_cls: 1.0829 loss_bbox: 1.4400 d0.loss_cls: 1.0503 d0.loss_bbox: 1.5423 d1.loss_cls: 1.0444 d1.loss_bbox: 1.4654 d2.loss_cls: 1.0639 d2.loss_bbox: 1.4338 d3.loss_cls: 1.0685 d3.loss_bbox: 1.4223 d4.loss_cls: 1.0737 d4.loss_bbox: 1.4179 +10/11 23:23:07 - mmengine - INFO - Epoch(train) [1][1800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:26:01 time: 0.6685 data_time: 0.0405 memory: 11851 grad_norm: 39.5970 loss: 13.4036 loss_cls: 0.9440 loss_bbox: 1.2864 d0.loss_cls: 0.9150 d0.loss_bbox: 1.4021 d1.loss_cls: 0.9024 d1.loss_bbox: 1.2991 d2.loss_cls: 0.9236 d2.loss_bbox: 1.2889 d3.loss_cls: 0.9348 d3.loss_bbox: 1.2857 d4.loss_cls: 0.9337 d4.loss_bbox: 1.2879 +10/11 23:23:40 - mmengine - INFO - Epoch(train) [1][1850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:23:03 time: 0.6675 data_time: 0.0403 memory: 11851 grad_norm: 43.0984 loss: 13.0991 loss_cls: 0.9317 loss_bbox: 1.2480 d0.loss_cls: 0.9076 d0.loss_bbox: 1.3547 d1.loss_cls: 0.8934 d1.loss_bbox: 1.2593 d2.loss_cls: 0.9206 d2.loss_bbox: 1.2548 d3.loss_cls: 0.9211 d3.loss_bbox: 1.2452 d4.loss_cls: 0.9190 d4.loss_bbox: 1.2436 +10/11 23:24:13 - mmengine - INFO - Epoch(train) [1][1900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:20:15 time: 0.6680 data_time: 0.0405 memory: 11851 grad_norm: 43.9196 loss: 11.0650 loss_cls: 0.8095 loss_bbox: 1.0296 d0.loss_cls: 0.7896 d0.loss_bbox: 1.1234 d1.loss_cls: 0.7698 d1.loss_bbox: 1.0509 d2.loss_cls: 0.7922 d2.loss_bbox: 1.0290 d3.loss_cls: 0.8032 d3.loss_bbox: 1.0285 d4.loss_cls: 0.8042 d4.loss_bbox: 1.0349 +10/11 23:24:47 - mmengine - INFO - Epoch(train) [1][1950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:17:34 time: 0.6681 data_time: 0.0404 memory: 11851 grad_norm: 42.3750 loss: 13.6288 loss_cls: 0.9504 loss_bbox: 1.3104 d0.loss_cls: 0.9198 d0.loss_bbox: 1.4451 d1.loss_cls: 0.9136 d1.loss_bbox: 1.3519 d2.loss_cls: 0.9260 d2.loss_bbox: 1.3192 d3.loss_cls: 0.9329 d3.loss_bbox: 1.3053 d4.loss_cls: 0.9370 d4.loss_bbox: 1.3171 +10/11 23:25:20 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231011_225824 +10/11 23:25:20 - mmengine - INFO - Epoch(train) [1][2000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:15:01 time: 0.6684 data_time: 0.0402 memory: 11851 grad_norm: 50.3420 loss: 13.4708 loss_cls: 0.9966 loss_bbox: 1.2333 d0.loss_cls: 0.9710 d0.loss_bbox: 1.3756 d1.loss_cls: 0.9597 d1.loss_bbox: 1.2811 d2.loss_cls: 0.9686 d2.loss_bbox: 1.2423 d3.loss_cls: 0.9736 d3.loss_bbox: 1.2418 d4.loss_cls: 0.9866 d4.loss_bbox: 1.2407 +10/11 23:25:54 - mmengine - INFO - Epoch(train) [1][2050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:12:31 time: 0.6679 data_time: 0.0402 memory: 11851 grad_norm: 43.9788 loss: 11.6566 loss_cls: 0.8544 loss_bbox: 1.0807 d0.loss_cls: 0.8131 d0.loss_bbox: 1.2032 d1.loss_cls: 0.8111 d1.loss_bbox: 1.1112 d2.loss_cls: 0.8382 d2.loss_bbox: 1.0839 d3.loss_cls: 0.8320 d3.loss_bbox: 1.0979 d4.loss_cls: 0.8337 d4.loss_bbox: 1.0973 +10/11 23:26:27 - mmengine - INFO - Epoch(train) [1][2100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:10:07 time: 0.6679 data_time: 0.0406 memory: 11851 grad_norm: 42.7358 loss: 12.5684 loss_cls: 0.8901 loss_bbox: 1.1950 d0.loss_cls: 0.8608 d0.loss_bbox: 1.3307 d1.loss_cls: 0.8552 d1.loss_bbox: 1.2138 d2.loss_cls: 0.8838 d2.loss_bbox: 1.1905 d3.loss_cls: 0.8788 d3.loss_bbox: 1.1901 d4.loss_cls: 0.8889 d4.loss_bbox: 1.1908 +10/11 23:27:00 - mmengine - INFO - Epoch(train) [1][2150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:07:46 time: 0.6672 data_time: 0.0404 memory: 11851 grad_norm: 44.7376 loss: 11.3320 loss_cls: 0.8003 loss_bbox: 1.0740 d0.loss_cls: 0.7846 d0.loss_bbox: 1.1733 d1.loss_cls: 0.7844 d1.loss_bbox: 1.1014 d2.loss_cls: 0.7830 d2.loss_bbox: 1.0795 d3.loss_cls: 0.7971 d3.loss_bbox: 1.0749 d4.loss_cls: 0.7979 d4.loss_bbox: 1.0816 +10/11 23:27:34 - mmengine - INFO - Epoch(train) [1][2200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:05:53 time: 0.6733 data_time: 0.0403 memory: 11851 grad_norm: 50.2802 loss: 12.6087 loss_cls: 0.9004 loss_bbox: 1.1783 d0.loss_cls: 0.8888 d0.loss_bbox: 1.3189 d1.loss_cls: 0.8761 d1.loss_bbox: 1.2091 d2.loss_cls: 0.8998 d2.loss_bbox: 1.1787 d3.loss_cls: 0.9013 d3.loss_bbox: 1.1705 d4.loss_cls: 0.9084 d4.loss_bbox: 1.1783 +10/11 23:28:08 - mmengine - INFO - Epoch(train) [1][2250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:04:03 time: 0.6734 data_time: 0.0403 memory: 11851 grad_norm: 46.2953 loss: 13.1374 loss_cls: 0.9337 loss_bbox: 1.2199 d0.loss_cls: 0.9216 d0.loss_bbox: 1.3895 d1.loss_cls: 0.9040 d1.loss_bbox: 1.2754 d2.loss_cls: 0.9389 d2.loss_bbox: 1.2469 d3.loss_cls: 0.9280 d3.loss_bbox: 1.2259 d4.loss_cls: 0.9223 d4.loss_bbox: 1.2313 +10/11 23:28:41 - mmengine - INFO - Epoch(train) [1][2300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:01:47 time: 0.6653 data_time: 0.0406 memory: 11851 grad_norm: 51.3152 loss: 12.5520 loss_cls: 0.9144 loss_bbox: 1.1706 d0.loss_cls: 0.8833 d0.loss_bbox: 1.3016 d1.loss_cls: 0.8600 d1.loss_bbox: 1.1951 d2.loss_cls: 0.8982 d2.loss_bbox: 1.1774 d3.loss_cls: 0.9002 d3.loss_bbox: 1.1757 d4.loss_cls: 0.8952 d4.loss_bbox: 1.1803 +10/11 23:29:14 - mmengine - INFO - Epoch(train) [1][2350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:59:45 time: 0.6678 data_time: 0.0407 memory: 11851 grad_norm: 43.3617 loss: 12.4865 loss_cls: 0.9098 loss_bbox: 1.1781 d0.loss_cls: 0.8591 d0.loss_bbox: 1.2799 d1.loss_cls: 0.8692 d1.loss_bbox: 1.2031 d2.loss_cls: 0.9021 d2.loss_bbox: 1.1664 d3.loss_cls: 0.8904 d3.loss_bbox: 1.1589 d4.loss_cls: 0.8956 d4.loss_bbox: 1.1739 +10/11 23:29:48 - mmengine - INFO - Epoch(train) [1][2400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:57:49 time: 0.6685 data_time: 0.0405 memory: 11851 grad_norm: 43.0231 loss: 11.8992 loss_cls: 0.8626 loss_bbox: 1.1142 d0.loss_cls: 0.8299 d0.loss_bbox: 1.2222 d1.loss_cls: 0.8391 d1.loss_bbox: 1.1441 d2.loss_cls: 0.8461 d2.loss_bbox: 1.1060 d3.loss_cls: 0.8486 d3.loss_bbox: 1.1091 d4.loss_cls: 0.8542 d4.loss_bbox: 1.1230 +10/11 23:30:21 - mmengine - INFO - Epoch(train) [1][2450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:55:50 time: 0.6666 data_time: 0.0402 memory: 11851 grad_norm: 40.6485 loss: 12.1977 loss_cls: 0.8693 loss_bbox: 1.1501 d0.loss_cls: 0.8438 d0.loss_bbox: 1.2919 d1.loss_cls: 0.8348 d1.loss_bbox: 1.1772 d2.loss_cls: 0.8576 d2.loss_bbox: 1.1452 d3.loss_cls: 0.8602 d3.loss_bbox: 1.1575 d4.loss_cls: 0.8565 d4.loss_bbox: 1.1536 +10/11 23:30:54 - mmengine - INFO - Epoch(train) [1][2500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:53:55 time: 0.6671 data_time: 0.0397 memory: 11851 grad_norm: 46.8824 loss: 11.4632 loss_cls: 0.8249 loss_bbox: 1.0618 d0.loss_cls: 0.8028 d0.loss_bbox: 1.2108 d1.loss_cls: 0.8000 d1.loss_bbox: 1.0877 d2.loss_cls: 0.8136 d2.loss_bbox: 1.0792 d3.loss_cls: 0.8213 d3.loss_bbox: 1.0762 d4.loss_cls: 0.8106 d4.loss_bbox: 1.0743 +10/11 23:31:28 - mmengine - INFO - Epoch(train) [1][2550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:52:05 time: 0.6672 data_time: 0.0403 memory: 11851 grad_norm: 40.6505 loss: 12.6453 loss_cls: 0.8785 loss_bbox: 1.2157 d0.loss_cls: 0.8384 d0.loss_bbox: 1.3592 d1.loss_cls: 0.8428 d1.loss_bbox: 1.2356 d2.loss_cls: 0.8666 d2.loss_bbox: 1.2217 d3.loss_cls: 0.8696 d3.loss_bbox: 1.2228 d4.loss_cls: 0.8679 d4.loss_bbox: 1.2266 +10/11 23:32:01 - mmengine - INFO - Epoch(train) [1][2600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:50:20 time: 0.6682 data_time: 0.0404 memory: 11851 grad_norm: 46.1072 loss: 11.5475 loss_cls: 0.8265 loss_bbox: 1.0968 d0.loss_cls: 0.7904 d0.loss_bbox: 1.2055 d1.loss_cls: 0.8038 d1.loss_bbox: 1.1037 d2.loss_cls: 0.8211 d2.loss_bbox: 1.0874 d3.loss_cls: 0.8125 d3.loss_bbox: 1.0918 d4.loss_cls: 0.8204 d4.loss_bbox: 1.0875 +10/11 23:32:35 - mmengine - INFO - Epoch(train) [1][2650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:48:41 time: 0.6690 data_time: 0.0403 memory: 11851 grad_norm: 46.3458 loss: 12.2716 loss_cls: 0.8788 loss_bbox: 1.1606 d0.loss_cls: 0.8245 d0.loss_bbox: 1.3094 d1.loss_cls: 0.8334 d1.loss_bbox: 1.1898 d2.loss_cls: 0.8641 d2.loss_bbox: 1.1764 d3.loss_cls: 0.8595 d3.loss_bbox: 1.1578 d4.loss_cls: 0.8656 d4.loss_bbox: 1.1519 +10/11 23:33:08 - mmengine - INFO - Epoch(train) [1][2700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:47:02 time: 0.6683 data_time: 0.0404 memory: 11851 grad_norm: 43.1705 loss: 11.3376 loss_cls: 0.8157 loss_bbox: 1.0721 d0.loss_cls: 0.7884 d0.loss_bbox: 1.1771 d1.loss_cls: 0.7897 d1.loss_bbox: 1.0981 d2.loss_cls: 0.8015 d2.loss_bbox: 1.0632 d3.loss_cls: 0.8078 d3.loss_bbox: 1.0573 d4.loss_cls: 0.7958 d4.loss_bbox: 1.0710 +10/11 23:33:41 - mmengine - INFO - Epoch(train) [1][2750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:45:23 time: 0.6675 data_time: 0.0405 memory: 11851 grad_norm: 42.6535 loss: 10.9823 loss_cls: 0.7506 loss_bbox: 1.0567 d0.loss_cls: 0.7200 d0.loss_bbox: 1.1747 d1.loss_cls: 0.7422 d1.loss_bbox: 1.0843 d2.loss_cls: 0.7572 d2.loss_bbox: 1.0632 d3.loss_cls: 0.7557 d3.loss_bbox: 1.0672 d4.loss_cls: 0.7533 d4.loss_bbox: 1.0573 +10/11 23:34:16 - mmengine - INFO - Epoch(train) [1][2800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:44:24 time: 0.6804 data_time: 0.0403 memory: 11851 grad_norm: 45.8667 loss: 11.2624 loss_cls: 0.8020 loss_bbox: 1.0523 d0.loss_cls: 0.8009 d0.loss_bbox: 1.1584 d1.loss_cls: 0.7748 d1.loss_bbox: 1.0879 d2.loss_cls: 0.7951 d2.loss_bbox: 1.0629 d3.loss_cls: 0.8084 d3.loss_bbox: 1.0555 d4.loss_cls: 0.8014 d4.loss_bbox: 1.0629 +10/11 23:34:49 - mmengine - INFO - Epoch(train) [1][2850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:42:47 time: 0.6668 data_time: 0.0407 memory: 11851 grad_norm: 39.8053 loss: 12.3015 loss_cls: 0.8734 loss_bbox: 1.1761 d0.loss_cls: 0.8171 d0.loss_bbox: 1.2988 d1.loss_cls: 0.8204 d1.loss_bbox: 1.2194 d2.loss_cls: 0.8535 d2.loss_bbox: 1.1754 d3.loss_cls: 0.8657 d3.loss_bbox: 1.1586 d4.loss_cls: 0.8565 d4.loss_bbox: 1.1867 +10/11 23:35:22 - mmengine - INFO - Epoch(train) [1][2900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:41:13 time: 0.6670 data_time: 0.0404 memory: 11851 grad_norm: 38.2858 loss: 12.2329 loss_cls: 0.8710 loss_bbox: 1.1615 d0.loss_cls: 0.8315 d0.loss_bbox: 1.2946 d1.loss_cls: 0.8177 d1.loss_bbox: 1.2067 d2.loss_cls: 0.8466 d2.loss_bbox: 1.1664 d3.loss_cls: 0.8554 d3.loss_bbox: 1.1624 d4.loss_cls: 0.8544 d4.loss_bbox: 1.1647 +10/11 23:35:56 - mmengine - INFO - Epoch(train) [1][2950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:39:40 time: 0.6669 data_time: 0.0399 memory: 11851 grad_norm: 41.9197 loss: 10.6014 loss_cls: 0.7439 loss_bbox: 1.0269 d0.loss_cls: 0.7126 d0.loss_bbox: 1.1139 d1.loss_cls: 0.7185 d1.loss_bbox: 1.0368 d2.loss_cls: 0.7388 d2.loss_bbox: 1.0072 d3.loss_cls: 0.7376 d3.loss_bbox: 1.0094 d4.loss_cls: 0.7317 d4.loss_bbox: 1.0242 +10/11 23:36:29 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231011_225824 +10/11 23:36:29 - mmengine - INFO - Epoch(train) [1][3000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:38:11 time: 0.6675 data_time: 0.0405 memory: 11851 grad_norm: 45.3197 loss: 11.5340 loss_cls: 0.8056 loss_bbox: 1.1002 d0.loss_cls: 0.7798 d0.loss_bbox: 1.2438 d1.loss_cls: 0.7724 d1.loss_bbox: 1.1305 d2.loss_cls: 0.7880 d2.loss_bbox: 1.1118 d3.loss_cls: 0.7885 d3.loss_bbox: 1.1109 d4.loss_cls: 0.7989 d4.loss_bbox: 1.1034 +10/11 23:37:02 - mmengine - INFO - Epoch(train) [1][3050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:36:43 time: 0.6670 data_time: 0.0398 memory: 11851 grad_norm: 40.7944 loss: 11.9049 loss_cls: 0.8292 loss_bbox: 1.1350 d0.loss_cls: 0.7926 d0.loss_bbox: 1.2641 d1.loss_cls: 0.7959 d1.loss_bbox: 1.1771 d2.loss_cls: 0.8230 d2.loss_bbox: 1.1571 d3.loss_cls: 0.8111 d3.loss_bbox: 1.1480 d4.loss_cls: 0.8333 d4.loss_bbox: 1.1384 +10/11 23:37:36 - mmengine - INFO - Epoch(train) [1][3100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:35:16 time: 0.6670 data_time: 0.0405 memory: 11851 grad_norm: 40.5943 loss: 12.6156 loss_cls: 0.8901 loss_bbox: 1.2124 d0.loss_cls: 0.8466 d0.loss_bbox: 1.3268 d1.loss_cls: 0.8451 d1.loss_bbox: 1.2392 d2.loss_cls: 0.8700 d2.loss_bbox: 1.2116 d3.loss_cls: 0.8757 d3.loss_bbox: 1.2064 d4.loss_cls: 0.8867 d4.loss_bbox: 1.2049 +10/11 23:38:09 - mmengine - INFO - Epoch(train) [1][3150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:33:49 time: 0.6663 data_time: 0.0402 memory: 11851 grad_norm: 38.5728 loss: 11.9415 loss_cls: 0.8460 loss_bbox: 1.1385 d0.loss_cls: 0.7861 d0.loss_bbox: 1.2505 d1.loss_cls: 0.8044 d1.loss_bbox: 1.1706 d2.loss_cls: 0.8235 d2.loss_bbox: 1.1530 d3.loss_cls: 0.8232 d3.loss_bbox: 1.1602 d4.loss_cls: 0.8341 d4.loss_bbox: 1.1514 +10/11 23:38:42 - mmengine - INFO - Epoch(train) [1][3200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:32:25 time: 0.6669 data_time: 0.0400 memory: 11851 grad_norm: 41.4286 loss: 9.9065 loss_cls: 0.7203 loss_bbox: 0.9253 d0.loss_cls: 0.6877 d0.loss_bbox: 1.0332 d1.loss_cls: 0.6858 d1.loss_bbox: 0.9606 d2.loss_cls: 0.6952 d2.loss_bbox: 0.9424 d3.loss_cls: 0.6984 d3.loss_bbox: 0.9335 d4.loss_cls: 0.7016 d4.loss_bbox: 0.9224 +10/11 23:39:16 - mmengine - INFO - Epoch(train) [1][3250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:31:00 time: 0.6656 data_time: 0.0401 memory: 11851 grad_norm: 40.0854 loss: 12.9169 loss_cls: 0.9154 loss_bbox: 1.2302 d0.loss_cls: 0.8766 d0.loss_bbox: 1.3758 d1.loss_cls: 0.8651 d1.loss_bbox: 1.2706 d2.loss_cls: 0.8987 d2.loss_bbox: 1.2343 d3.loss_cls: 0.9071 d3.loss_bbox: 1.2212 d4.loss_cls: 0.9096 d4.loss_bbox: 1.2121 +10/11 23:39:49 - mmengine - INFO - Epoch(train) [1][3300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:29:43 time: 0.6686 data_time: 0.0405 memory: 11851 grad_norm: 45.0476 loss: 11.7045 loss_cls: 0.8253 loss_bbox: 1.1328 d0.loss_cls: 0.7629 d0.loss_bbox: 1.2574 d1.loss_cls: 0.7810 d1.loss_bbox: 1.1413 d2.loss_cls: 0.7944 d2.loss_bbox: 1.1297 d3.loss_cls: 0.7970 d3.loss_bbox: 1.1397 d4.loss_cls: 0.8164 d4.loss_bbox: 1.1268 +10/11 23:40:22 - mmengine - INFO - Epoch(train) [1][3350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:28:25 time: 0.6672 data_time: 0.0399 memory: 11851 grad_norm: 40.3121 loss: 11.0284 loss_cls: 0.7719 loss_bbox: 1.0660 d0.loss_cls: 0.7361 d0.loss_bbox: 1.1615 d1.loss_cls: 0.7399 d1.loss_bbox: 1.0958 d2.loss_cls: 0.7459 d2.loss_bbox: 1.0815 d3.loss_cls: 0.7618 d3.loss_bbox: 1.0557 d4.loss_cls: 0.7630 d4.loss_bbox: 1.0493 +10/11 23:40:56 - mmengine - INFO - Epoch(train) [1][3400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:27:09 time: 0.6676 data_time: 0.0405 memory: 11851 grad_norm: 41.0450 loss: 11.1493 loss_cls: 0.8011 loss_bbox: 1.0638 d0.loss_cls: 0.7502 d0.loss_bbox: 1.1550 d1.loss_cls: 0.7656 d1.loss_bbox: 1.0786 d2.loss_cls: 0.7770 d2.loss_bbox: 1.0630 d3.loss_cls: 0.7797 d3.loss_bbox: 1.0625 d4.loss_cls: 0.7845 d4.loss_bbox: 1.0683 +10/11 23:41:29 - mmengine - INFO - Epoch(train) [1][3450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:25:55 time: 0.6684 data_time: 0.0403 memory: 11851 grad_norm: 42.5333 loss: 10.8598 loss_cls: 0.7848 loss_bbox: 1.0044 d0.loss_cls: 0.7409 d0.loss_bbox: 1.1162 d1.loss_cls: 0.7606 d1.loss_bbox: 1.0586 d2.loss_cls: 0.7585 d2.loss_bbox: 1.0419 d3.loss_cls: 0.7670 d3.loss_bbox: 1.0264 d4.loss_cls: 0.7748 d4.loss_bbox: 1.0257 +10/11 23:42:03 - mmengine - INFO - Epoch(train) [1][3500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:24:45 time: 0.6690 data_time: 0.0407 memory: 11851 grad_norm: 41.6542 loss: 12.4654 loss_cls: 0.8630 loss_bbox: 1.1993 d0.loss_cls: 0.8336 d0.loss_bbox: 1.3285 d1.loss_cls: 0.8358 d1.loss_bbox: 1.2194 d2.loss_cls: 0.8465 d2.loss_bbox: 1.2102 d3.loss_cls: 0.8545 d3.loss_bbox: 1.2110 d4.loss_cls: 0.8581 d4.loss_bbox: 1.2055 +10/11 23:42:36 - mmengine - INFO - Epoch(train) [1][3550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:23:28 time: 0.6659 data_time: 0.0404 memory: 11851 grad_norm: 41.7622 loss: 11.6204 loss_cls: 0.8288 loss_bbox: 1.1011 d0.loss_cls: 0.7957 d0.loss_bbox: 1.2129 d1.loss_cls: 0.7987 d1.loss_bbox: 1.1335 d2.loss_cls: 0.8140 d2.loss_bbox: 1.1012 d3.loss_cls: 0.8083 d3.loss_bbox: 1.1027 d4.loss_cls: 0.8239 d4.loss_bbox: 1.0998 +10/11 23:43:09 - mmengine - INFO - Epoch(train) [1][3600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:22:18 time: 0.6681 data_time: 0.0405 memory: 11851 grad_norm: 42.2671 loss: 11.2599 loss_cls: 0.7807 loss_bbox: 1.0999 d0.loss_cls: 0.7616 d0.loss_bbox: 1.1779 d1.loss_cls: 0.7651 d1.loss_bbox: 1.0862 d2.loss_cls: 0.7679 d2.loss_bbox: 1.0878 d3.loss_cls: 0.7790 d3.loss_bbox: 1.0843 d4.loss_cls: 0.7785 d4.loss_bbox: 1.0909 +10/11 23:43:43 - mmengine - INFO - Epoch(train) [1][3650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:21:07 time: 0.6673 data_time: 0.0405 memory: 11851 grad_norm: 41.2906 loss: 11.6000 loss_cls: 0.8059 loss_bbox: 1.1361 d0.loss_cls: 0.7763 d0.loss_bbox: 1.2167 d1.loss_cls: 0.7677 d1.loss_bbox: 1.1365 d2.loss_cls: 0.7853 d2.loss_bbox: 1.1246 d3.loss_cls: 0.7927 d3.loss_bbox: 1.1245 d4.loss_cls: 0.8033 d4.loss_bbox: 1.1303 +10/11 23:44:16 - mmengine - INFO - Epoch(train) [1][3700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:20:07 time: 0.6721 data_time: 0.0404 memory: 11851 grad_norm: 42.9638 loss: 10.3134 loss_cls: 0.7250 loss_bbox: 0.9805 d0.loss_cls: 0.7106 d0.loss_bbox: 1.0808 d1.loss_cls: 0.7101 d1.loss_bbox: 0.9988 d2.loss_cls: 0.7169 d2.loss_bbox: 0.9871 d3.loss_cls: 0.7220 d3.loss_bbox: 0.9801 d4.loss_cls: 0.7200 d4.loss_bbox: 0.9816 +10/11 23:44:50 - mmengine - INFO - Epoch(train) [1][3750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:19:08 time: 0.6720 data_time: 0.0405 memory: 11851 grad_norm: 44.0562 loss: 10.9915 loss_cls: 0.7837 loss_bbox: 1.0345 d0.loss_cls: 0.7414 d0.loss_bbox: 1.1736 d1.loss_cls: 0.7404 d1.loss_bbox: 1.0801 d2.loss_cls: 0.7663 d2.loss_bbox: 1.0561 d3.loss_cls: 0.7637 d3.loss_bbox: 1.0335 d4.loss_cls: 0.7755 d4.loss_bbox: 1.0428 +10/11 23:45:24 - mmengine - INFO - Epoch(train) [1][3800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:18:11 time: 0.6726 data_time: 0.0405 memory: 11851 grad_norm: 49.9693 loss: 11.3430 loss_cls: 0.7952 loss_bbox: 1.0790 d0.loss_cls: 0.7657 d0.loss_bbox: 1.2086 d1.loss_cls: 0.7633 d1.loss_bbox: 1.1160 d2.loss_cls: 0.7805 d2.loss_bbox: 1.0966 d3.loss_cls: 0.7940 d3.loss_bbox: 1.0769 d4.loss_cls: 0.7891 d4.loss_bbox: 1.0780 +10/11 23:45:57 - mmengine - INFO - Epoch(train) [1][3850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:17:04 time: 0.6676 data_time: 0.0403 memory: 11851 grad_norm: 43.4291 loss: 11.1851 loss_cls: 0.7990 loss_bbox: 1.0703 d0.loss_cls: 0.7668 d0.loss_bbox: 1.1504 d1.loss_cls: 0.7677 d1.loss_bbox: 1.0862 d2.loss_cls: 0.7831 d2.loss_bbox: 1.0613 d3.loss_cls: 0.7780 d3.loss_bbox: 1.0620 d4.loss_cls: 0.7990 d4.loss_bbox: 1.0614 +10/11 23:46:30 - mmengine - INFO - Epoch(train) [1][3900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:15:55 time: 0.6666 data_time: 0.0400 memory: 11851 grad_norm: 40.8509 loss: 9.9171 loss_cls: 0.7074 loss_bbox: 0.9359 d0.loss_cls: 0.6773 d0.loss_bbox: 1.0533 d1.loss_cls: 0.6842 d1.loss_bbox: 0.9603 d2.loss_cls: 0.6899 d2.loss_bbox: 0.9501 d3.loss_cls: 0.7039 d3.loss_bbox: 0.9252 d4.loss_cls: 0.7056 d4.loss_bbox: 0.9239 +10/11 23:47:04 - mmengine - INFO - Epoch(train) [1][3950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:14:47 time: 0.6661 data_time: 0.0397 memory: 11851 grad_norm: 40.0085 loss: 11.2968 loss_cls: 0.7944 loss_bbox: 1.0699 d0.loss_cls: 0.7593 d0.loss_bbox: 1.2006 d1.loss_cls: 0.7602 d1.loss_bbox: 1.1191 d2.loss_cls: 0.7740 d2.loss_bbox: 1.0933 d3.loss_cls: 0.7786 d3.loss_bbox: 1.0870 d4.loss_cls: 0.7897 d4.loss_bbox: 1.0708 +10/11 23:47:37 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231011_225824 +10/11 23:47:37 - mmengine - INFO - Epoch(train) [1][4000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:13:44 time: 0.6684 data_time: 0.0401 memory: 11851 grad_norm: 44.5610 loss: 12.4908 loss_cls: 0.8699 loss_bbox: 1.1944 d0.loss_cls: 0.8527 d0.loss_bbox: 1.3170 d1.loss_cls: 0.8419 d1.loss_bbox: 1.2328 d2.loss_cls: 0.8628 d2.loss_bbox: 1.1980 d3.loss_cls: 0.8690 d3.loss_bbox: 1.1871 d4.loss_cls: 0.8705 d4.loss_bbox: 1.1946 +10/11 23:48:11 - mmengine - INFO - Epoch(train) [1][4050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:12:45 time: 0.6703 data_time: 0.0402 memory: 11851 grad_norm: 38.9714 loss: 10.9934 loss_cls: 0.7701 loss_bbox: 1.0624 d0.loss_cls: 0.7129 d0.loss_bbox: 1.1715 d1.loss_cls: 0.7386 d1.loss_bbox: 1.0878 d2.loss_cls: 0.7523 d2.loss_bbox: 1.0657 d3.loss_cls: 0.7578 d3.loss_bbox: 1.0511 d4.loss_cls: 0.7630 d4.loss_bbox: 1.0603 +10/11 23:48:44 - mmengine - INFO - Epoch(train) [1][4100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:11:46 time: 0.6694 data_time: 0.0392 memory: 11851 grad_norm: 45.1126 loss: 11.5152 loss_cls: 0.7935 loss_bbox: 1.1177 d0.loss_cls: 0.7639 d0.loss_bbox: 1.2350 d1.loss_cls: 0.7500 d1.loss_bbox: 1.1632 d2.loss_cls: 0.7750 d2.loss_bbox: 1.1310 d3.loss_cls: 0.7743 d3.loss_bbox: 1.1122 d4.loss_cls: 0.7747 d4.loss_bbox: 1.1247 +10/11 23:49:17 - mmengine - INFO - Epoch(train) [1][4150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:10:47 time: 0.6694 data_time: 0.0393 memory: 11851 grad_norm: 38.9274 loss: 11.2258 loss_cls: 0.7637 loss_bbox: 1.0773 d0.loss_cls: 0.7622 d0.loss_bbox: 1.2070 d1.loss_cls: 0.7442 d1.loss_bbox: 1.1120 d2.loss_cls: 0.7572 d2.loss_bbox: 1.0983 d3.loss_cls: 0.7623 d3.loss_bbox: 1.0944 d4.loss_cls: 0.7707 d4.loss_bbox: 1.0766 +10/11 23:49:51 - mmengine - INFO - Epoch(train) [1][4200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:09:45 time: 0.6678 data_time: 0.0404 memory: 11851 grad_norm: 40.8481 loss: 13.0874 loss_cls: 0.9169 loss_bbox: 1.2808 d0.loss_cls: 0.8652 d0.loss_bbox: 1.3764 d1.loss_cls: 0.8728 d1.loss_bbox: 1.2781 d2.loss_cls: 0.8893 d2.loss_bbox: 1.2724 d3.loss_cls: 0.9012 d3.loss_bbox: 1.2623 d4.loss_cls: 0.9013 d4.loss_bbox: 1.2705 +10/11 23:50:24 - mmengine - INFO - Epoch(train) [1][4250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:08:45 time: 0.6679 data_time: 0.0406 memory: 11851 grad_norm: 44.0029 loss: 10.5954 loss_cls: 0.7459 loss_bbox: 1.0160 d0.loss_cls: 0.7001 d0.loss_bbox: 1.1221 d1.loss_cls: 0.7152 d1.loss_bbox: 1.0420 d2.loss_cls: 0.7303 d2.loss_bbox: 1.0199 d3.loss_cls: 0.7288 d3.loss_bbox: 1.0230 d4.loss_cls: 0.7311 d4.loss_bbox: 1.0209 +10/11 23:50:57 - mmengine - INFO - Epoch(train) [1][4300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:07:39 time: 0.6651 data_time: 0.0404 memory: 11851 grad_norm: 42.4505 loss: 10.9208 loss_cls: 0.7666 loss_bbox: 1.0470 d0.loss_cls: 0.7292 d0.loss_bbox: 1.1481 d1.loss_cls: 0.7387 d1.loss_bbox: 1.0679 d2.loss_cls: 0.7459 d2.loss_bbox: 1.0560 d3.loss_cls: 0.7440 d3.loss_bbox: 1.0682 d4.loss_cls: 0.7577 d4.loss_bbox: 1.0516 +10/11 23:51:31 - mmengine - INFO - Epoch(train) [1][4350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:06:37 time: 0.6663 data_time: 0.0405 memory: 11851 grad_norm: 39.9779 loss: 11.4114 loss_cls: 0.7861 loss_bbox: 1.1083 d0.loss_cls: 0.7478 d0.loss_bbox: 1.2294 d1.loss_cls: 0.7568 d1.loss_bbox: 1.1344 d2.loss_cls: 0.7731 d2.loss_bbox: 1.1174 d3.loss_cls: 0.7681 d3.loss_bbox: 1.1069 d4.loss_cls: 0.7785 d4.loss_bbox: 1.1045 +10/11 23:52:04 - mmengine - INFO - Epoch(train) [1][4400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:05:38 time: 0.6677 data_time: 0.0403 memory: 11851 grad_norm: 40.2278 loss: 11.4925 loss_cls: 0.7962 loss_bbox: 1.0983 d0.loss_cls: 0.7829 d0.loss_bbox: 1.2223 d1.loss_cls: 0.7672 d1.loss_bbox: 1.1272 d2.loss_cls: 0.7865 d2.loss_bbox: 1.1111 d3.loss_cls: 0.7938 d3.loss_bbox: 1.1083 d4.loss_cls: 0.8008 d4.loss_bbox: 1.0978 +10/11 23:52:38 - mmengine - INFO - Epoch(train) [1][4450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:04:39 time: 0.6671 data_time: 0.0405 memory: 11851 grad_norm: 41.6505 loss: 11.9767 loss_cls: 0.8223 loss_bbox: 1.1605 d0.loss_cls: 0.7958 d0.loss_bbox: 1.2606 d1.loss_cls: 0.7879 d1.loss_bbox: 1.1967 d2.loss_cls: 0.8174 d2.loss_bbox: 1.1715 d3.loss_cls: 0.8183 d3.loss_bbox: 1.1620 d4.loss_cls: 0.8218 d4.loss_bbox: 1.1620 +10/11 23:53:11 - mmengine - INFO - Epoch(train) [1][4500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:03:41 time: 0.6679 data_time: 0.0407 memory: 11851 grad_norm: 39.3547 loss: 10.3804 loss_cls: 0.7367 loss_bbox: 0.9929 d0.loss_cls: 0.7041 d0.loss_bbox: 1.0777 d1.loss_cls: 0.7110 d1.loss_bbox: 1.0178 d2.loss_cls: 0.7161 d2.loss_bbox: 1.0001 d3.loss_cls: 0.7155 d3.loss_bbox: 0.9899 d4.loss_cls: 0.7175 d4.loss_bbox: 1.0011 +10/11 23:53:44 - mmengine - INFO - Epoch(train) [1][4550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:02:38 time: 0.6646 data_time: 0.0402 memory: 11851 grad_norm: 37.0415 loss: 11.4639 loss_cls: 0.7786 loss_bbox: 1.1334 d0.loss_cls: 0.7524 d0.loss_bbox: 1.2377 d1.loss_cls: 0.7463 d1.loss_bbox: 1.1561 d2.loss_cls: 0.7503 d2.loss_bbox: 1.1407 d3.loss_cls: 0.7517 d3.loss_bbox: 1.1214 d4.loss_cls: 0.7631 d4.loss_bbox: 1.1324 +10/11 23:54:18 - mmengine - INFO - Epoch(train) [1][4600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:01:41 time: 0.6677 data_time: 0.0407 memory: 11851 grad_norm: 40.0675 loss: 9.3524 loss_cls: 0.6586 loss_bbox: 0.8897 d0.loss_cls: 0.6323 d0.loss_bbox: 0.9832 d1.loss_cls: 0.6463 d1.loss_bbox: 0.9072 d2.loss_cls: 0.6473 d2.loss_bbox: 0.8940 d3.loss_cls: 0.6558 d3.loss_bbox: 0.8841 d4.loss_cls: 0.6613 d4.loss_bbox: 0.8927 +10/11 23:54:51 - mmengine - INFO - Epoch(train) [1][4650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:00:43 time: 0.6664 data_time: 0.0399 memory: 11851 grad_norm: 38.9198 loss: 11.0817 loss_cls: 0.7968 loss_bbox: 1.0393 d0.loss_cls: 0.7594 d0.loss_bbox: 1.1692 d1.loss_cls: 0.7602 d1.loss_bbox: 1.0760 d2.loss_cls: 0.7816 d2.loss_bbox: 1.0539 d3.loss_cls: 0.7863 d3.loss_bbox: 1.0284 d4.loss_cls: 0.7879 d4.loss_bbox: 1.0426 +10/11 23:55:24 - mmengine - INFO - Epoch(train) [1][4700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:59:45 time: 0.6665 data_time: 0.0406 memory: 11851 grad_norm: 37.6479 loss: 11.9885 loss_cls: 0.8233 loss_bbox: 1.1497 d0.loss_cls: 0.7976 d0.loss_bbox: 1.2864 d1.loss_cls: 0.7923 d1.loss_bbox: 1.2045 d2.loss_cls: 0.8120 d2.loss_bbox: 1.1796 d3.loss_cls: 0.8152 d3.loss_bbox: 1.1513 d4.loss_cls: 0.8237 d4.loss_bbox: 1.1529 +10/11 23:55:58 - mmengine - INFO - Epoch(train) [1][4750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:58:48 time: 0.6668 data_time: 0.0404 memory: 11851 grad_norm: 39.1548 loss: 11.6353 loss_cls: 0.7906 loss_bbox: 1.1466 d0.loss_cls: 0.7434 d0.loss_bbox: 1.2812 d1.loss_cls: 0.7372 d1.loss_bbox: 1.1767 d2.loss_cls: 0.7720 d2.loss_bbox: 1.1535 d3.loss_cls: 0.7835 d3.loss_bbox: 1.1293 d4.loss_cls: 0.7827 d4.loss_bbox: 1.1386 +10/11 23:56:31 - mmengine - INFO - Epoch(train) [1][4800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:57:54 time: 0.6682 data_time: 0.0411 memory: 11851 grad_norm: 40.1138 loss: 9.9789 loss_cls: 0.6881 loss_bbox: 0.9647 d0.loss_cls: 0.6412 d0.loss_bbox: 1.0813 d1.loss_cls: 0.6614 d1.loss_bbox: 1.0004 d2.loss_cls: 0.6728 d2.loss_bbox: 0.9838 d3.loss_cls: 0.6754 d3.loss_bbox: 0.9604 d4.loss_cls: 0.6802 d4.loss_bbox: 0.9693 +10/11 23:57:04 - mmengine - INFO - Epoch(train) [1][4850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:57:00 time: 0.6679 data_time: 0.0405 memory: 11851 grad_norm: 41.3826 loss: 10.6105 loss_cls: 0.7471 loss_bbox: 1.0085 d0.loss_cls: 0.7150 d0.loss_bbox: 1.1073 d1.loss_cls: 0.7386 d1.loss_bbox: 1.0166 d2.loss_cls: 0.7458 d2.loss_bbox: 1.0218 d3.loss_cls: 0.7405 d3.loss_bbox: 1.0111 d4.loss_cls: 0.7461 d4.loss_bbox: 1.0121 +10/11 23:57:38 - mmengine - INFO - Epoch(train) [1][4900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:56:05 time: 0.6671 data_time: 0.0405 memory: 11851 grad_norm: 42.0086 loss: 11.0283 loss_cls: 0.7779 loss_bbox: 1.0482 d0.loss_cls: 0.7339 d0.loss_bbox: 1.1883 d1.loss_cls: 0.7417 d1.loss_bbox: 1.0835 d2.loss_cls: 0.7463 d2.loss_bbox: 1.0816 d3.loss_cls: 0.7587 d3.loss_bbox: 1.0534 d4.loss_cls: 0.7653 d4.loss_bbox: 1.0495 +10/11 23:58:11 - mmengine - INFO - Epoch(train) [1][4950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:55:12 time: 0.6680 data_time: 0.0404 memory: 11851 grad_norm: 40.4646 loss: 11.2739 loss_cls: 0.7829 loss_bbox: 1.0774 d0.loss_cls: 0.7452 d0.loss_bbox: 1.2155 d1.loss_cls: 0.7513 d1.loss_bbox: 1.1259 d2.loss_cls: 0.7588 d2.loss_bbox: 1.1196 d3.loss_cls: 0.7590 d3.loss_bbox: 1.0871 d4.loss_cls: 0.7718 d4.loss_bbox: 1.0794 +10/11 23:58:44 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231011_225824 +10/11 23:58:44 - mmengine - INFO - Epoch(train) [1][5000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:54:17 time: 0.6664 data_time: 0.0399 memory: 11851 grad_norm: 36.7564 loss: 9.8803 loss_cls: 0.6921 loss_bbox: 0.9436 d0.loss_cls: 0.6385 d0.loss_bbox: 1.0625 d1.loss_cls: 0.6558 d1.loss_bbox: 0.9892 d2.loss_cls: 0.6551 d2.loss_bbox: 0.9750 d3.loss_cls: 0.6689 d3.loss_bbox: 0.9571 d4.loss_cls: 0.6873 d4.loss_bbox: 0.9553 +10/11 23:59:18 - mmengine - INFO - Epoch(train) [1][5050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:53:23 time: 0.6667 data_time: 0.0404 memory: 11851 grad_norm: 41.5765 loss: 11.0578 loss_cls: 0.7792 loss_bbox: 1.0550 d0.loss_cls: 0.7261 d0.loss_bbox: 1.1859 d1.loss_cls: 0.7241 d1.loss_bbox: 1.1142 d2.loss_cls: 0.7437 d2.loss_bbox: 1.0983 d3.loss_cls: 0.7556 d3.loss_bbox: 1.0634 d4.loss_cls: 0.7607 d4.loss_bbox: 1.0516 +10/11 23:59:51 - mmengine - INFO - Epoch(train) [1][5100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:52:29 time: 0.6666 data_time: 0.0404 memory: 11851 grad_norm: 42.7203 loss: 9.4220 loss_cls: 0.6985 loss_bbox: 0.8569 d0.loss_cls: 0.6564 d0.loss_bbox: 0.9806 d1.loss_cls: 0.6635 d1.loss_bbox: 0.9130 d2.loss_cls: 0.6799 d2.loss_bbox: 0.8834 d3.loss_cls: 0.6840 d3.loss_bbox: 0.8631 d4.loss_cls: 0.6859 d4.loss_bbox: 0.8568 +10/12 00:00:25 - mmengine - INFO - Epoch(train) [1][5150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:51:38 time: 0.6683 data_time: 0.0402 memory: 11851 grad_norm: 45.1699 loss: 10.2413 loss_cls: 0.7283 loss_bbox: 0.9758 d0.loss_cls: 0.6812 d0.loss_bbox: 1.0807 d1.loss_cls: 0.6935 d1.loss_bbox: 1.0115 d2.loss_cls: 0.6974 d2.loss_bbox: 0.9918 d3.loss_cls: 0.7119 d3.loss_bbox: 0.9741 d4.loss_cls: 0.7204 d4.loss_bbox: 0.9746 +10/12 00:00:58 - mmengine - INFO - Epoch(train) [1][5200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:50:53 time: 0.6719 data_time: 0.0404 memory: 11851 grad_norm: 46.5432 loss: 11.9686 loss_cls: 0.8753 loss_bbox: 1.1109 d0.loss_cls: 0.8135 d0.loss_bbox: 1.2484 d1.loss_cls: 0.8313 d1.loss_bbox: 1.1617 d2.loss_cls: 0.8461 d2.loss_bbox: 1.1414 d3.loss_cls: 0.8499 d3.loss_bbox: 1.1180 d4.loss_cls: 0.8687 d4.loss_bbox: 1.1033 +10/12 00:01:31 - mmengine - INFO - Epoch(train) [1][5250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:49:57 time: 0.6648 data_time: 0.0403 memory: 11851 grad_norm: 38.9358 loss: 9.4573 loss_cls: 0.6723 loss_bbox: 0.9073 d0.loss_cls: 0.6476 d0.loss_bbox: 1.0079 d1.loss_cls: 0.6329 d1.loss_bbox: 0.9196 d2.loss_cls: 0.6458 d2.loss_bbox: 0.9118 d3.loss_cls: 0.6561 d3.loss_bbox: 0.8975 d4.loss_cls: 0.6587 d4.loss_bbox: 0.8998 +10/12 00:02:05 - mmengine - INFO - Epoch(train) [1][5300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:49:13 time: 0.6724 data_time: 0.0406 memory: 11851 grad_norm: 42.4737 loss: 11.5020 loss_cls: 0.8528 loss_bbox: 1.0621 d0.loss_cls: 0.7892 d0.loss_bbox: 1.1999 d1.loss_cls: 0.7842 d1.loss_bbox: 1.1174 d2.loss_cls: 0.7982 d2.loss_bbox: 1.0980 d3.loss_cls: 0.8192 d3.loss_bbox: 1.0781 d4.loss_cls: 0.8331 d4.loss_bbox: 1.0697 +10/12 00:02:38 - mmengine - INFO - Epoch(train) [1][5350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:48:21 time: 0.6670 data_time: 0.0407 memory: 11851 grad_norm: 40.1997 loss: 11.0414 loss_cls: 0.8048 loss_bbox: 1.0246 d0.loss_cls: 0.7534 d0.loss_bbox: 1.1398 d1.loss_cls: 0.7496 d1.loss_bbox: 1.0868 d2.loss_cls: 0.7691 d2.loss_bbox: 1.0715 d3.loss_cls: 0.7878 d3.loss_bbox: 1.0245 d4.loss_cls: 0.8104 d4.loss_bbox: 1.0192 +10/12 00:03:12 - mmengine - INFO - Epoch(train) [1][5400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:47:29 time: 0.6665 data_time: 0.0406 memory: 11851 grad_norm: 43.2159 loss: 9.3250 loss_cls: 0.6649 loss_bbox: 0.8836 d0.loss_cls: 0.6171 d0.loss_bbox: 0.9821 d1.loss_cls: 0.6236 d1.loss_bbox: 0.9108 d2.loss_cls: 0.6419 d2.loss_bbox: 0.9104 d3.loss_cls: 0.6605 d3.loss_bbox: 0.8811 d4.loss_cls: 0.6699 d4.loss_bbox: 0.8792 +10/12 00:03:45 - mmengine - INFO - Epoch(train) [1][5450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:46:37 time: 0.6664 data_time: 0.0407 memory: 11851 grad_norm: 39.9862 loss: 9.7070 loss_cls: 0.6924 loss_bbox: 0.9291 d0.loss_cls: 0.6461 d0.loss_bbox: 1.0243 d1.loss_cls: 0.6507 d1.loss_bbox: 0.9551 d2.loss_cls: 0.6594 d2.loss_bbox: 0.9434 d3.loss_cls: 0.6724 d3.loss_bbox: 0.9273 d4.loss_cls: 0.6840 d4.loss_bbox: 0.9229 +10/12 00:04:18 - mmengine - INFO - Epoch(train) [1][5500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:45:50 time: 0.6693 data_time: 0.0406 memory: 11851 grad_norm: 42.0849 loss: 10.0166 loss_cls: 0.7208 loss_bbox: 0.9471 d0.loss_cls: 0.6709 d0.loss_bbox: 1.0714 d1.loss_cls: 0.6647 d1.loss_bbox: 0.9807 d2.loss_cls: 0.6839 d2.loss_bbox: 0.9826 d3.loss_cls: 0.6958 d3.loss_bbox: 0.9507 d4.loss_cls: 0.7100 d4.loss_bbox: 0.9379 +10/12 00:04:52 - mmengine - INFO - Epoch(train) [1][5550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:45:02 time: 0.6685 data_time: 0.0406 memory: 11851 grad_norm: 41.0087 loss: 11.0123 loss_cls: 0.7941 loss_bbox: 1.0278 d0.loss_cls: 0.7350 d0.loss_bbox: 1.1554 d1.loss_cls: 0.7537 d1.loss_bbox: 1.0705 d2.loss_cls: 0.7758 d2.loss_bbox: 1.0702 d3.loss_cls: 0.7882 d3.loss_bbox: 1.0309 d4.loss_cls: 0.7937 d4.loss_bbox: 1.0171 +10/12 00:05:25 - mmengine - INFO - Epoch(train) [1][5600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:44:13 time: 0.6683 data_time: 0.0409 memory: 11851 grad_norm: 44.1451 loss: 10.9017 loss_cls: 0.7770 loss_bbox: 1.0436 d0.loss_cls: 0.7208 d0.loss_bbox: 1.1478 d1.loss_cls: 0.7275 d1.loss_bbox: 1.0632 d2.loss_cls: 0.7533 d2.loss_bbox: 1.0626 d3.loss_cls: 0.7531 d3.loss_bbox: 1.0490 d4.loss_cls: 0.7635 d4.loss_bbox: 1.0402 +10/12 00:05:59 - mmengine - INFO - Epoch(train) [1][5650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:43:25 time: 0.6677 data_time: 0.0411 memory: 11851 grad_norm: 39.6680 loss: 11.0077 loss_cls: 0.7763 loss_bbox: 1.0492 d0.loss_cls: 0.7084 d0.loss_bbox: 1.1898 d1.loss_cls: 0.7108 d1.loss_bbox: 1.1155 d2.loss_cls: 0.7396 d2.loss_bbox: 1.0934 d3.loss_cls: 0.7497 d3.loss_bbox: 1.0631 d4.loss_cls: 0.7625 d4.loss_bbox: 1.0494 +10/12 00:06:32 - mmengine - INFO - Epoch(train) [1][5700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:42:34 time: 0.6667 data_time: 0.0404 memory: 11851 grad_norm: 47.6248 loss: 9.1651 loss_cls: 0.6569 loss_bbox: 0.8598 d0.loss_cls: 0.6114 d0.loss_bbox: 0.9550 d1.loss_cls: 0.6242 d1.loss_bbox: 0.8986 d2.loss_cls: 0.6408 d2.loss_bbox: 0.8880 d3.loss_cls: 0.6418 d3.loss_bbox: 0.8727 d4.loss_cls: 0.6472 d4.loss_bbox: 0.8685 +10/12 00:07:05 - mmengine - INFO - Epoch(train) [1][5750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:41:44 time: 0.6662 data_time: 0.0400 memory: 11851 grad_norm: 40.0691 loss: 12.1220 loss_cls: 0.8380 loss_bbox: 1.1765 d0.loss_cls: 0.7834 d0.loss_bbox: 1.3073 d1.loss_cls: 0.8045 d1.loss_bbox: 1.2015 d2.loss_cls: 0.8064 d2.loss_bbox: 1.1978 d3.loss_cls: 0.8219 d3.loss_bbox: 1.1774 d4.loss_cls: 0.8297 d4.loss_bbox: 1.1776 +10/12 00:07:39 - mmengine - INFO - Epoch(train) [1][5800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:40:56 time: 0.6677 data_time: 0.0405 memory: 11851 grad_norm: 42.1429 loss: 11.2608 loss_cls: 0.7889 loss_bbox: 1.0740 d0.loss_cls: 0.7399 d0.loss_bbox: 1.2043 d1.loss_cls: 0.7409 d1.loss_bbox: 1.1234 d2.loss_cls: 0.7603 d2.loss_bbox: 1.1132 d3.loss_cls: 0.7822 d3.loss_bbox: 1.0797 d4.loss_cls: 0.7832 d4.loss_bbox: 1.0708 +10/12 00:08:12 - mmengine - INFO - Epoch(train) [1][5850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:40:11 time: 0.6696 data_time: 0.0407 memory: 11851 grad_norm: 47.6242 loss: 10.7399 loss_cls: 0.7361 loss_bbox: 1.0487 d0.loss_cls: 0.7057 d0.loss_bbox: 1.1441 d1.loss_cls: 0.7211 d1.loss_bbox: 1.0743 d2.loss_cls: 0.7180 d2.loss_bbox: 1.0465 d3.loss_cls: 0.7292 d3.loss_bbox: 1.0458 d4.loss_cls: 0.7299 d4.loss_bbox: 1.0405 +10/12 00:08:46 - mmengine - INFO - Epoch(train) [1][5900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:39:21 time: 0.6659 data_time: 0.0409 memory: 11851 grad_norm: 42.2162 loss: 10.9678 loss_cls: 0.7655 loss_bbox: 1.0509 d0.loss_cls: 0.7348 d0.loss_bbox: 1.1718 d1.loss_cls: 0.7341 d1.loss_bbox: 1.0834 d2.loss_cls: 0.7431 d2.loss_bbox: 1.0608 d3.loss_cls: 0.7527 d3.loss_bbox: 1.0513 d4.loss_cls: 0.7656 d4.loss_bbox: 1.0537 +10/12 00:09:19 - mmengine - INFO - Epoch(train) [1][5950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:38:34 time: 0.6683 data_time: 0.0407 memory: 11851 grad_norm: 44.8951 loss: 10.2855 loss_cls: 0.7123 loss_bbox: 0.9757 d0.loss_cls: 0.7077 d0.loss_bbox: 1.0954 d1.loss_cls: 0.7024 d1.loss_bbox: 1.0156 d2.loss_cls: 0.7088 d2.loss_bbox: 0.9985 d3.loss_cls: 0.7110 d3.loss_bbox: 0.9722 d4.loss_cls: 0.7139 d4.loss_bbox: 0.9718 +10/12 00:09:52 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231011_225824 +10/12 00:09:52 - mmengine - INFO - Epoch(train) [1][6000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:37:45 time: 0.6663 data_time: 0.0407 memory: 11851 grad_norm: 42.2442 loss: 10.8345 loss_cls: 0.7812 loss_bbox: 1.0247 d0.loss_cls: 0.7406 d0.loss_bbox: 1.1270 d1.loss_cls: 0.7326 d1.loss_bbox: 1.0611 d2.loss_cls: 0.7554 d2.loss_bbox: 1.0396 d3.loss_cls: 0.7682 d3.loss_bbox: 1.0191 d4.loss_cls: 0.7716 d4.loss_bbox: 1.0134 +10/12 00:10:26 - mmengine - INFO - Epoch(train) [1][6050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:36:57 time: 0.6664 data_time: 0.0405 memory: 11851 grad_norm: 46.5064 loss: 10.5612 loss_cls: 0.7524 loss_bbox: 1.0071 d0.loss_cls: 0.7096 d0.loss_bbox: 1.0971 d1.loss_cls: 0.7170 d1.loss_bbox: 1.0371 d2.loss_cls: 0.7365 d2.loss_bbox: 1.0236 d3.loss_cls: 0.7358 d3.loss_bbox: 0.9964 d4.loss_cls: 0.7362 d4.loss_bbox: 1.0125 +10/12 00:10:59 - mmengine - INFO - Epoch(train) [1][6100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:36:10 time: 0.6674 data_time: 0.0403 memory: 11851 grad_norm: 42.0153 loss: 10.9903 loss_cls: 0.7938 loss_bbox: 1.0200 d0.loss_cls: 0.7457 d0.loss_bbox: 1.1446 d1.loss_cls: 0.7651 d1.loss_bbox: 1.0602 d2.loss_cls: 0.7767 d2.loss_bbox: 1.0499 d3.loss_cls: 0.7805 d3.loss_bbox: 1.0309 d4.loss_cls: 0.7889 d4.loss_bbox: 1.0342 +10/12 00:11:32 - mmengine - INFO - Epoch(train) [1][6150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:35:24 time: 0.6680 data_time: 0.0408 memory: 11851 grad_norm: 44.0994 loss: 10.4396 loss_cls: 0.7450 loss_bbox: 0.9891 d0.loss_cls: 0.7128 d0.loss_bbox: 1.0791 d1.loss_cls: 0.7109 d1.loss_bbox: 1.0218 d2.loss_cls: 0.7224 d2.loss_bbox: 1.0097 d3.loss_cls: 0.7348 d3.loss_bbox: 0.9846 d4.loss_cls: 0.7410 d4.loss_bbox: 0.9885 +10/12 00:12:06 - mmengine - INFO - Epoch(train) [1][6200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:34:38 time: 0.6678 data_time: 0.0410 memory: 11851 grad_norm: 42.5078 loss: 10.0614 loss_cls: 0.7052 loss_bbox: 0.9653 d0.loss_cls: 0.6779 d0.loss_bbox: 1.0641 d1.loss_cls: 0.6843 d1.loss_bbox: 0.9831 d2.loss_cls: 0.6867 d2.loss_bbox: 0.9688 d3.loss_cls: 0.6982 d3.loss_bbox: 0.9621 d4.loss_cls: 0.7025 d4.loss_bbox: 0.9633 +10/12 00:12:39 - mmengine - INFO - Epoch(train) [1][6250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:33:51 time: 0.6675 data_time: 0.0405 memory: 11851 grad_norm: 38.2348 loss: 11.4089 loss_cls: 0.7919 loss_bbox: 1.0836 d0.loss_cls: 0.7451 d0.loss_bbox: 1.2400 d1.loss_cls: 0.7641 d1.loss_bbox: 1.1504 d2.loss_cls: 0.7707 d2.loss_bbox: 1.1273 d3.loss_cls: 0.7749 d3.loss_bbox: 1.0958 d4.loss_cls: 0.7830 d4.loss_bbox: 1.0821 +10/12 00:13:12 - mmengine - INFO - Epoch(train) [1][6300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:33:05 time: 0.6673 data_time: 0.0408 memory: 11851 grad_norm: 44.7145 loss: 11.1297 loss_cls: 0.7955 loss_bbox: 1.0610 d0.loss_cls: 0.7426 d0.loss_bbox: 1.1713 d1.loss_cls: 0.7495 d1.loss_bbox: 1.0965 d2.loss_cls: 0.7626 d2.loss_bbox: 1.0822 d3.loss_cls: 0.7707 d3.loss_bbox: 1.0545 d4.loss_cls: 0.7793 d4.loss_bbox: 1.0641 +10/12 00:13:46 - mmengine - INFO - Epoch(train) [1][6350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:32:18 time: 0.6662 data_time: 0.0402 memory: 11851 grad_norm: 46.0251 loss: 10.9561 loss_cls: 0.7645 loss_bbox: 1.0505 d0.loss_cls: 0.7298 d0.loss_bbox: 1.1675 d1.loss_cls: 0.7325 d1.loss_bbox: 1.0866 d2.loss_cls: 0.7527 d2.loss_bbox: 1.0809 d3.loss_cls: 0.7492 d3.loss_bbox: 1.0484 d4.loss_cls: 0.7478 d4.loss_bbox: 1.0459 +10/12 00:14:19 - mmengine - INFO - Epoch(train) [1][6400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:31:32 time: 0.6672 data_time: 0.0408 memory: 11851 grad_norm: 40.5642 loss: 10.5473 loss_cls: 0.7186 loss_bbox: 1.0361 d0.loss_cls: 0.6847 d0.loss_bbox: 1.1467 d1.loss_cls: 0.6959 d1.loss_bbox: 1.0569 d2.loss_cls: 0.7029 d2.loss_bbox: 1.0452 d3.loss_cls: 0.7103 d3.loss_bbox: 1.0219 d4.loss_cls: 0.7132 d4.loss_bbox: 1.0149 +10/12 00:14:53 - mmengine - INFO - Epoch(train) [1][6450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:30:46 time: 0.6674 data_time: 0.0407 memory: 11851 grad_norm: 44.9486 loss: 9.7299 loss_cls: 0.6781 loss_bbox: 0.9233 d0.loss_cls: 0.6336 d0.loss_bbox: 1.0587 d1.loss_cls: 0.6533 d1.loss_bbox: 0.9622 d2.loss_cls: 0.6661 d2.loss_bbox: 0.9519 d3.loss_cls: 0.6671 d3.loss_bbox: 0.9318 d4.loss_cls: 0.6702 d4.loss_bbox: 0.9336 +10/12 00:15:26 - mmengine - INFO - Epoch(train) [1][6500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:30:04 time: 0.6697 data_time: 0.0406 memory: 11851 grad_norm: 40.8597 loss: 10.1806 loss_cls: 0.7176 loss_bbox: 0.9757 d0.loss_cls: 0.6638 d0.loss_bbox: 1.0917 d1.loss_cls: 0.6673 d1.loss_bbox: 1.0190 d2.loss_cls: 0.6955 d2.loss_bbox: 0.9918 d3.loss_cls: 0.6991 d3.loss_bbox: 0.9771 d4.loss_cls: 0.7124 d4.loss_bbox: 0.9696 +10/12 00:16:00 - mmengine - INFO - Epoch(train) [1][6550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:29:22 time: 0.6699 data_time: 0.0407 memory: 11851 grad_norm: 43.4278 loss: 10.9524 loss_cls: 0.7879 loss_bbox: 1.0371 d0.loss_cls: 0.7300 d0.loss_bbox: 1.1491 d1.loss_cls: 0.7371 d1.loss_bbox: 1.0654 d2.loss_cls: 0.7617 d2.loss_bbox: 1.0532 d3.loss_cls: 0.7750 d3.loss_bbox: 1.0425 d4.loss_cls: 0.7817 d4.loss_bbox: 1.0317 +10/12 00:16:33 - mmengine - INFO - Epoch(train) [1][6600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:28:36 time: 0.6670 data_time: 0.0406 memory: 11851 grad_norm: 40.0705 loss: 10.6843 loss_cls: 0.7733 loss_bbox: 1.0052 d0.loss_cls: 0.7159 d0.loss_bbox: 1.1226 d1.loss_cls: 0.7400 d1.loss_bbox: 1.0326 d2.loss_cls: 0.7464 d2.loss_bbox: 1.0110 d3.loss_cls: 0.7535 d3.loss_bbox: 1.0092 d4.loss_cls: 0.7708 d4.loss_bbox: 1.0038 +10/12 00:17:06 - mmengine - INFO - Epoch(train) [1][6650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:27:51 time: 0.6677 data_time: 0.0407 memory: 11851 grad_norm: 40.6240 loss: 9.7602 loss_cls: 0.6942 loss_bbox: 0.9263 d0.loss_cls: 0.6437 d0.loss_bbox: 1.0454 d1.loss_cls: 0.6666 d1.loss_bbox: 0.9496 d2.loss_cls: 0.6716 d2.loss_bbox: 0.9377 d3.loss_cls: 0.6818 d3.loss_bbox: 0.9316 d4.loss_cls: 0.6884 d4.loss_bbox: 0.9234 +10/12 00:17:40 - mmengine - INFO - Epoch(train) [1][6700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:27:16 time: 0.6752 data_time: 0.0410 memory: 11851 grad_norm: 48.0837 loss: 9.2839 loss_cls: 0.6922 loss_bbox: 0.8759 d0.loss_cls: 0.6332 d0.loss_bbox: 0.9537 d1.loss_cls: 0.6379 d1.loss_bbox: 0.8973 d2.loss_cls: 0.6545 d2.loss_bbox: 0.8722 d3.loss_cls: 0.6642 d3.loss_bbox: 0.8621 d4.loss_cls: 0.6798 d4.loss_bbox: 0.8611 +10/12 00:18:14 - mmengine - INFO - Epoch(train) [1][6750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:26:34 time: 0.6693 data_time: 0.0407 memory: 11851 grad_norm: 45.7986 loss: 10.1981 loss_cls: 0.7206 loss_bbox: 0.9838 d0.loss_cls: 0.6882 d0.loss_bbox: 1.0470 d1.loss_cls: 0.6988 d1.loss_bbox: 0.9944 d2.loss_cls: 0.7175 d2.loss_bbox: 0.9689 d3.loss_cls: 0.7142 d3.loss_bbox: 0.9720 d4.loss_cls: 0.7220 d4.loss_bbox: 0.9707 +10/12 00:18:47 - mmengine - INFO - Epoch(train) [1][6800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:25:53 time: 0.6704 data_time: 0.0407 memory: 11851 grad_norm: 45.3125 loss: 9.7495 loss_cls: 0.6902 loss_bbox: 0.9377 d0.loss_cls: 0.6468 d0.loss_bbox: 1.0245 d1.loss_cls: 0.6497 d1.loss_bbox: 0.9586 d2.loss_cls: 0.6703 d2.loss_bbox: 0.9387 d3.loss_cls: 0.6760 d3.loss_bbox: 0.9403 d4.loss_cls: 0.6806 d4.loss_bbox: 0.9360 +10/12 00:19:21 - mmengine - INFO - Epoch(train) [1][6850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:25:17 time: 0.6745 data_time: 0.0412 memory: 11851 grad_norm: 43.6844 loss: 9.9186 loss_cls: 0.7156 loss_bbox: 0.9354 d0.loss_cls: 0.6635 d0.loss_bbox: 1.0465 d1.loss_cls: 0.6739 d1.loss_bbox: 0.9705 d2.loss_cls: 0.6895 d2.loss_bbox: 0.9524 d3.loss_cls: 0.7018 d3.loss_bbox: 0.9344 d4.loss_cls: 0.7095 d4.loss_bbox: 0.9257 +10/12 00:19:54 - mmengine - INFO - Epoch(train) [1][6900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:24:36 time: 0.6701 data_time: 0.0411 memory: 11851 grad_norm: 40.4918 loss: 10.1285 loss_cls: 0.7536 loss_bbox: 0.9393 d0.loss_cls: 0.6985 d0.loss_bbox: 1.0440 d1.loss_cls: 0.7169 d1.loss_bbox: 0.9547 d2.loss_cls: 0.7332 d2.loss_bbox: 0.9380 d3.loss_cls: 0.7457 d3.loss_bbox: 0.9256 d4.loss_cls: 0.7468 d4.loss_bbox: 0.9323 +10/12 00:20:28 - mmengine - INFO - Epoch(train) [1][6950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:23:53 time: 0.6685 data_time: 0.0402 memory: 11851 grad_norm: 41.6463 loss: 11.2994 loss_cls: 0.8216 loss_bbox: 1.0401 d0.loss_cls: 0.7657 d0.loss_bbox: 1.2029 d1.loss_cls: 0.7940 d1.loss_bbox: 1.0937 d2.loss_cls: 0.8133 d2.loss_bbox: 1.0616 d3.loss_cls: 0.8157 d3.loss_bbox: 1.0420 d4.loss_cls: 0.8112 d4.loss_bbox: 1.0376 +10/12 00:21:01 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231011_225824 +10/12 00:21:01 - mmengine - INFO - Epoch(train) [1][7000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:23:12 time: 0.6695 data_time: 0.0410 memory: 11851 grad_norm: 38.8625 loss: 9.8405 loss_cls: 0.6956 loss_bbox: 0.9349 d0.loss_cls: 0.6670 d0.loss_bbox: 1.0374 d1.loss_cls: 0.6703 d1.loss_bbox: 0.9558 d2.loss_cls: 0.6797 d2.loss_bbox: 0.9499 d3.loss_cls: 0.6869 d3.loss_bbox: 0.9327 d4.loss_cls: 0.6918 d4.loss_bbox: 0.9386 +10/12 00:21:23 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231011_225824 +10/12 00:21:23 - mmengine - INFO - Saving checkpoint at 1 epochs +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +---------------------------------------------------- +1 +---------------------------------------------------- + +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. +To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.) + return torch.floor_divide(self, other) +---------------------------------------------------- +1 +---------------------------------------------------- + +/home/xzt/mmdetection3d-1.1.0/projects/DETR3D/detr3d/nms_free_coder.py:70: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). + self.post_center_range = torch.tensor( +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +---------------------------------------------------- +1 +---------------------------------------------------- + +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmcv/cnn/bricks/transformer.py:524: UserWarning: position encoding of key ismissing in MultiheadAttention. + warnings.warn(f'position encoding of key is' +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:3981: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. + warnings.warn( +---------------------------------------------------- +1 +---------------------------------------------------- + +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. +To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.) + return torch.floor_divide(self, other) +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +/home/xzt/mmdetection3d-1.1.0/projects/DETR3D/detr3d/nms_free_coder.py:70: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). + self.post_center_range = torch.tensor( +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + +---------------------------------------------------- +1 +---------------------------------------------------- + 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elapsed: 345s, ETA: 1442s [>>>>> ] 1163/6019, 3.4 task/s, elapsed: 345s, ETA: 1441s [>>>>> ] 1164/6019, 3.4 task/s, elapsed: 346s, ETA: 1441s [>>>>> ] 1165/6019, 3.4 task/s, elapsed: 346s, ETA: 1441s [>>>>> ] 1166/6019, 3.4 task/s, elapsed: 346s, ETA: 1440s [>>>>> ] 1167/6019, 3.4 task/s, elapsed: 346s, ETA: 1440s [>>>>> ] 1168/6019, 3.4 task/s, elapsed: 347s, ETA: 1440s [>>>>> ] 1169/6019, 3.4 task/s, elapsed: 347s, ETA: 1439s [>>>>> ] 1170/6019, 3.4 task/s, elapsed: 347s, ETA: 1439s [>>>>> ] 1171/6019, 3.4 task/s, elapsed: 347s, ETA: 1439s [>>>>> ] 1172/6019, 3.4 task/s, elapsed: 348s, ETA: 1438s [>>>>> ] 1173/6019, 3.4 task/s, elapsed: 348s, ETA: 1438s [>>>>> ] 1174/6019, 3.4 task/s, elapsed: 348s, ETA: 1437s [>>>>> ] 1175/6019, 3.4 task/s, elapsed: 349s, ETA: 1437s [>>>>> ] 1176/6019, 3.4 task/s, elapsed: 349s, ETA: 1437s [>>>>> ] 1177/6019, 3.4 task/s, elapsed: 349s, ETA: 1436s [>>>>> ] 1178/6019, 3.4 task/s, elapsed: 349s, ETA: 1436s [>>>>> ] 1179/6019, 3.4 task/s, elapsed: 350s, 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[>>>>> ] 1197/6019, 3.4 task/s, elapsed: 355s, ETA: 1429s [>>>>> ] 1198/6019, 3.4 task/s, elapsed: 355s, ETA: 1429s [>>>>> ] 1199/6019, 3.4 task/s, elapsed: 355s, ETA: 1429s [>>>>> ] 1200/6019, 3.4 task/s, elapsed: 356s, ETA: 1428s [>>>>> ] 1201/6019, 3.4 task/s, elapsed: 356s, ETA: 1428s [>>>>> ] 1202/6019, 3.4 task/s, elapsed: 356s, ETA: 1428s [>>>>> ] 1203/6019, 3.4 task/s, elapsed: 357s, ETA: 1427s [>>>>> ] 1204/6019, 3.4 task/s, elapsed: 357s, ETA: 1427s [>>>>> ] 1205/6019, 3.4 task/s, elapsed: 357s, ETA: 1427s [>>>>> ] 1206/6019, 3.4 task/s, elapsed: 357s, ETA: 1427s [>>>>> ] 1207/6019, 3.4 task/s, elapsed: 358s, ETA: 1426s [>>>>> ] 1208/6019, 3.4 task/s, elapsed: 358s, ETA: 1426s [>>>>> ] 1209/6019, 3.4 task/s, elapsed: 358s, ETA: 1426s [>>>>> ] 1210/6019, 3.4 task/s, elapsed: 359s, ETA: 1426s [>>>>> ] 1211/6019, 3.4 task/s, elapsed: 359s, ETA: 1425s [>>>>> ] 1212/6019, 3.4 task/s, elapsed: 359s, ETA: 1425s [>>>>> ] 1213/6019, 3.4 task/s, elapsed: 360s, ETA: 1425s [>>>>> ] 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elapsed: 370s, ETA: 1414s [>>>>> ] 1249/6019, 3.4 task/s, elapsed: 370s, ETA: 1414s [>>>>> ] 1250/6019, 3.4 task/s, elapsed: 371s, ETA: 1414s [>>>>> ] 1251/6019, 3.4 task/s, elapsed: 371s, ETA: 1413s [>>>>> ] 1252/6019, 3.4 task/s, elapsed: 371s, ETA: 1413s [>>>>> ] 1253/6019, 3.4 task/s, elapsed: 371s, ETA: 1413s [>>>>> ] 1254/6019, 3.4 task/s, elapsed: 372s, ETA: 1412s [>>>>> ] 1255/6019, 3.4 task/s, elapsed: 372s, ETA: 1412s [>>>>> ] 1256/6019, 3.4 task/s, elapsed: 372s, ETA: 1412s [>>>>> ] 1257/6019, 3.4 task/s, elapsed: 373s, ETA: 1411s [>>>>> ] 1258/6019, 3.4 task/s, elapsed: 373s, ETA: 1411s [>>>>> ] 1259/6019, 3.4 task/s, elapsed: 373s, ETA: 1411s [>>>>> ] 1260/6019, 3.4 task/s, elapsed: 373s, ETA: 1411s [>>>>> ] 1261/6019, 3.4 task/s, elapsed: 374s, ETA: 1410s [>>>>> ] 1262/6019, 3.4 task/s, elapsed: 374s, ETA: 1410s [>>>>> ] 1263/6019, 3.4 task/s, elapsed: 374s, ETA: 1410s [>>>>> ] 1264/6019, 3.4 task/s, elapsed: 375s, ETA: 1409s [>>>>> ] 1265/6019, 3.4 task/s, elapsed: 375s, 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[>>>>> ] 1283/6019, 3.4 task/s, elapsed: 380s, ETA: 1403s [>>>>> ] 1284/6019, 3.4 task/s, elapsed: 380s, ETA: 1403s [>>>>> ] 1285/6019, 3.4 task/s, elapsed: 381s, ETA: 1403s [>>>>> ] 1286/6019, 3.4 task/s, elapsed: 381s, ETA: 1402s [>>>>> ] 1287/6019, 3.4 task/s, elapsed: 381s, ETA: 1402s [>>>>> ] 1288/6019, 3.4 task/s, elapsed: 382s, ETA: 1402s [>>>>> ] 1289/6019, 3.4 task/s, elapsed: 382s, ETA: 1401s [>>>>> ] 1290/6019, 3.4 task/s, elapsed: 382s, ETA: 1401s [>>>>> ] 1291/6019, 3.4 task/s, elapsed: 382s, ETA: 1401s [>>>>> ] 1292/6019, 3.4 task/s, elapsed: 383s, ETA: 1400s [>>>>> ] 1293/6019, 3.4 task/s, elapsed: 383s, ETA: 1400s [>>>>> ] 1294/6019, 3.4 task/s, elapsed: 383s, ETA: 1400s [>>>>> ] 1295/6019, 3.4 task/s, elapsed: 384s, ETA: 1400s [>>>>> ] 1296/6019, 3.4 task/s, elapsed: 384s, ETA: 1399s [>>>>> ] 1297/6019, 3.4 task/s, elapsed: 384s, ETA: 1399s [>>>>> ] 1298/6019, 3.4 task/s, elapsed: 385s, ETA: 1399s [>>>>> ] 1299/6019, 3.4 task/s, elapsed: 385s, ETA: 1398s [>>>>> ] 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] 2929/6019, 3.4 task/s, elapsed: 867s, ETA: 915s [>>>>>>>>>>>>> ] 2930/6019, 3.4 task/s, elapsed: 867s, ETA: 914s [>>>>>>>>>>>>> ] 2931/6019, 3.4 task/s, elapsed: 868s, ETA: 914s [>>>>>>>>>>>>> ] 2932/6019, 3.4 task/s, elapsed: 868s, ETA: 914s [>>>>>>>>>>>>> ] 2933/6019, 3.4 task/s, elapsed: 868s, ETA: 913s [>>>>>>>>>>>>> ] 2934/6019, 3.4 task/s, elapsed: 868s, ETA: 913s [>>>>>>>>>>>>> ] 2935/6019, 3.4 task/s, elapsed: 869s, ETA: 913s [>>>>>>>>>>>>> ] 2936/6019, 3.4 task/s, elapsed: 869s, ETA: 912s [>>>>>>>>>>>>> ] 2937/6019, 3.4 task/s, elapsed: 869s, ETA: 912s [>>>>>>>>>>>>> ] 2938/6019, 3.4 task/s, elapsed: 869s, ETA: 912s [>>>>>>>>>>>>> ] 2939/6019, 3.4 task/s, elapsed: 870s, ETA: 911s [>>>>>>>>>>>>> ] 2940/6019, 3.4 task/s, elapsed: 870s, ETA: 911s [>>>>>>>>>>>>> ] 2941/6019, 3.4 task/s, elapsed: 870s, ETA: 911s [>>>>>>>>>>>>> ] 2942/6019, 3.4 task/s, elapsed: 871s, ETA: 911s [>>>>>>>>>>>>> ] 2943/6019, 3.4 task/s, elapsed: 871s, ETA: 910s [>>>>>>>>>>>>> ] 2944/6019, 3.4 task/s, 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[>>>>>>>>>>>>>>>>>>>>> ] 4940/6019, 3.4 task/s, elapsed: 1466s, ETA: 320s [>>>>>>>>>>>>>>>>>>>>> ] 4941/6019, 3.4 task/s, elapsed: 1466s, ETA: 320s [>>>>>>>>>>>>>>>>>>>>> ] 4942/6019, 3.4 task/s, elapsed: 1467s, ETA: 320s [>>>>>>>>>>>>>>>>>>>>> ] 4943/6019, 3.4 task/s, elapsed: 1467s, ETA: 319s [>>>>>>>>>>>>>>>>>>>>> ] 4944/6019, 3.4 task/s, elapsed: 1467s, ETA: 319s [>>>>>>>>>>>>>>>>>>>>> ] 4945/6019, 3.4 task/s, elapsed: 1468s, ETA: 319s [>>>>>>>>>>>>>>>>>>>>> ] 4946/6019, 3.4 task/s, elapsed: 1468s, ETA: 318s [>>>>>>>>>>>>>>>>>>>>> ] 4947/6019, 3.4 task/s, elapsed: 1468s, ETA: 318s [>>>>>>>>>>>>>>>>>>>>> ] 4948/6019, 3.4 task/s, elapsed: 1468s, ETA: 318s [>>>>>>>>>>>>>>>>>>>>> ] 4949/6019, 3.4 task/s, elapsed: 1469s, ETA: 318s [>>>>>>>>>>>>>>>>>>>>> ] 4950/6019, 3.4 task/s, elapsed: 1469s, ETA: 317s [>>>>>>>>>>>>>>>>>>>>> ] 4951/6019, 3.4 task/s, elapsed: 1469s, ETA: 317s [>>>>>>>>>>>>>>>>>>>>> ] 4952/6019, 3.4 task/s, elapsed: 1470s, ETA: 317s [>>>>>>>>>>>>>>>>>>>>> ] 4953/6019, 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[>>>>>>>>>>>>>>>>>>>>> ] 4967/6019, 3.4 task/s, elapsed: 1474s, ETA: 312s [>>>>>>>>>>>>>>>>>>>>> ] 4968/6019, 3.4 task/s, elapsed: 1474s, ETA: 312s [>>>>>>>>>>>>>>>>>>>>> ] 4969/6019, 3.4 task/s, elapsed: 1475s, ETA: 312s [>>>>>>>>>>>>>>>>>>>>> ] 4970/6019, 3.4 task/s, elapsed: 1475s, ETA: 311s [>>>>>>>>>>>>>>>>>>>>> ] 4971/6019, 3.4 task/s, elapsed: 1475s, ETA: 311s [>>>>>>>>>>>>>>>>>>>>> ] 4972/6019, 3.4 task/s, elapsed: 1476s, ETA: 311s [>>>>>>>>>>>>>>>>>>>>> ] 4973/6019, 3.4 task/s, elapsed: 1476s, ETA: 310s [>>>>>>>>>>>>>>>>>>>>> ] 4974/6019, 3.4 task/s, elapsed: 1476s, ETA: 310s [>>>>>>>>>>>>>>>>>>>>> ] 4975/6019, 3.4 task/s, elapsed: 1476s, ETA: 310s [>>>>>>>>>>>>>>>>>>>>> ] 4976/6019, 3.4 task/s, elapsed: 1477s, ETA: 310s [>>>>>>>>>>>>>>>>>>>>> ] 4977/6019, 3.4 task/s, elapsed: 1477s, ETA: 309s [>>>>>>>>>>>>>>>>>>>>> ] 4978/6019, 3.4 task/s, elapsed: 1477s, ETA: 309s [>>>>>>>>>>>>>>>>>>>>> ] 4979/6019, 3.4 task/s, elapsed: 1477s, ETA: 309s [>>>>>>>>>>>>>>>>>>>>> ] 4980/6019, 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[>>>>>>>>>>>>>>>>>>>>> ] 5021/6019, 3.4 task/s, elapsed: 1489s, ETA: 296s [>>>>>>>>>>>>>>>>>>>>> ] 5022/6019, 3.4 task/s, elapsed: 1490s, ETA: 296s [>>>>>>>>>>>>>>>>>>>>> ] 5023/6019, 3.4 task/s, elapsed: 1490s, ETA: 295s [>>>>>>>>>>>>>>>>>>>>> ] 5024/6019, 3.4 task/s, elapsed: 1490s, ETA: 295s [>>>>>>>>>>>>>>>>>>>>> ] 5025/6019, 3.4 task/s, elapsed: 1490s, ETA: 295s [>>>>>>>>>>>>>>>>>>>>> ] 5026/6019, 3.4 task/s, elapsed: 1491s, ETA: 295s [>>>>>>>>>>>>>>>>>>>>> ] 5027/6019, 3.4 task/s, elapsed: 1491s, ETA: 294s [>>>>>>>>>>>>>>>>>>>>> ] 5028/6019, 3.4 task/s, elapsed: 1491s, ETA: 294s [>>>>>>>>>>>>>>>>>>>>> ] 5029/6019, 3.4 task/s, elapsed: 1492s, ETA: 294s [>>>>>>>>>>>>>>>>>>>>> ] 5030/6019, 3.4 task/s, elapsed: 1492s, ETA: 293s [>>>>>>>>>>>>>>>>>>>>> ] 5031/6019, 3.4 task/s, elapsed: 1492s, ETA: 293s [>>>>>>>>>>>>>>>>>>>>> ] 5032/6019, 3.4 task/s, elapsed: 1492s, ETA: 293s [>>>>>>>>>>>>>>>>>>>>> ] 5033/6019, 3.4 task/s, elapsed: 1493s, ETA: 292s [>>>>>>>>>>>>>>>>>>>>> ] 5034/6019, 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[>>>>>>>>>>>>>>>>>>>>> ] 5048/6019, 3.4 task/s, elapsed: 1497s, ETA: 288s [>>>>>>>>>>>>>>>>>>>>> ] 5049/6019, 3.4 task/s, elapsed: 1497s, ETA: 288s [>>>>>>>>>>>>>>>>>>>>> ] 5050/6019, 3.4 task/s, elapsed: 1498s, ETA: 287s [>>>>>>>>>>>>>>>>>>>>> ] 5051/6019, 3.4 task/s, elapsed: 1498s, ETA: 287s [>>>>>>>>>>>>>>>>>>>>> ] 5052/6019, 3.4 task/s, elapsed: 1498s, ETA: 287s [>>>>>>>>>>>>>>>>>>>>> ] 5053/6019, 3.4 task/s, elapsed: 1499s, ETA: 286s [>>>>>>>>>>>>>>>>>>>>> ] 5054/6019, 3.4 task/s, elapsed: 1499s, ETA: 286s [>>>>>>>>>>>>>>>>>>>>> ] 5055/6019, 3.4 task/s, elapsed: 1499s, ETA: 286s [>>>>>>>>>>>>>>>>>>>>> ] 5056/6019, 3.4 task/s, elapsed: 1499s, ETA: 286s [>>>>>>>>>>>>>>>>>>>>> ] 5057/6019, 3.4 task/s, elapsed: 1500s, ETA: 285s [>>>>>>>>>>>>>>>>>>>>> ] 5058/6019, 3.4 task/s, elapsed: 1500s, ETA: 285s [>>>>>>>>>>>>>>>>>>>>> ] 5059/6019, 3.4 task/s, elapsed: 1500s, ETA: 285s [>>>>>>>>>>>>>>>>>>>>> ] 5060/6019, 3.4 task/s, elapsed: 1501s, ETA: 284s [>>>>>>>>>>>>>>>>>>>>> ] 5061/6019, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 3.4 task/s, elapsed: 1747s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 3.4 task/s, elapsed: 1748s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 3.4 task/s, elapsed: 1748s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 3.4 task/s, elapsed: 1748s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 3.4 task/s, elapsed: 1748s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 3.4 task/s, elapsed: 1749s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 3.4 task/s, elapsed: 1749s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 3.4 task/s, elapsed: 1749s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 3.4 task/s, elapsed: 1750s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 3.4 task/s, elapsed: 1750s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 3.4 task/s, elapsed: 1750s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 3.4 task/s, elapsed: 1751s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 3.4 task/s, elapsed: 1751s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 3.4 task/s, elapsed: 1751s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 3.4 task/s, elapsed: 1751s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 3.4 task/s, elapsed: 1752s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 3.4 task/s, elapsed: 1752s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 3.4 task/s, elapsed: 1752s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 3.4 task/s, elapsed: 1753s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 3.4 task/s, elapsed: 1753s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 3.4 task/s, elapsed: 1753s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 3.4 task/s, elapsed: 1754s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 3.4 task/s, elapsed: 1754s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 3.4 task/s, elapsed: 1754s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 3.4 task/s, elapsed: 1754s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 3.4 task/s, elapsed: 1755s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 3.4 task/s, elapsed: 1755s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 3.4 task/s, elapsed: 1755s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 3.4 task/s, elapsed: 1756s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 3.4 task/s, elapsed: 1756s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 3.4 task/s, elapsed: 1756s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 3.4 task/s, elapsed: 1757s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 3.4 task/s, elapsed: 1757s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 3.4 task/s, elapsed: 1757s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 3.4 task/s, elapsed: 1757s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 3.4 task/s, elapsed: 1758s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 3.4 task/s, elapsed: 1758s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 3.4 task/s, elapsed: 1758s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 3.4 task/s, elapsed: 1759s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 3.4 task/s, elapsed: 1759s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 3.4 task/s, elapsed: 1759s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 3.4 task/s, elapsed: 1760s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 3.4 task/s, elapsed: 1760s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 3.4 task/s, elapsed: 1760s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 3.4 task/s, elapsed: 1760s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 3.4 task/s, elapsed: 1761s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 3.4 task/s, elapsed: 1761s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 3.4 task/s, elapsed: 1761s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 3.4 task/s, elapsed: 1762s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 3.4 task/s, elapsed: 1762s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 3.4 task/s, elapsed: 1762s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 3.4 task/s, elapsed: 1763s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 3.4 task/s, elapsed: 1763s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 3.4 task/s, elapsed: 1763s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 3.4 task/s, elapsed: 1763s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 3.4 task/s, elapsed: 1764s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 3.4 task/s, elapsed: 1764s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 3.4 task/s, elapsed: 1764s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 3.4 task/s, elapsed: 1765s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 3.4 task/s, elapsed: 1765s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 3.4 task/s, elapsed: 1765s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 3.4 task/s, elapsed: 1766s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 3.4 task/s, elapsed: 1766s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 3.4 task/s, elapsed: 1766s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 3.4 task/s, elapsed: 1766s, ETA: 16s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 3.4 task/s, elapsed: 1783s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 3.4 task/s, elapsed: 1783s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 3.4 task/s, elapsed: 1783s, ETA: 0s +Results writes to /tmp/tmpy1zey01w/results/pred_instances_3d/results_nusc.json +[E ProcessGroupNCCL.cpp:566] [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(OpType=BROADCAST, Timeout(ms)=1800000) ran for 1804305 milliseconds before timing out. +Traceback (most recent call last): + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3489, in + main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3482, in main + globals = debugger.run(setup['file'], None, None, is_module) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2510, in run + return self._exec(is_module, entry_point_fn, module_name, file, globals, locals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2517, in _exec + globals = pydevd_runpy.run_path(file, globals, '__main__') + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path + return _run_module_code(code, init_globals, run_name, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code + _run_code(code, mod_globals, init_globals, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code + exec(code, run_globals) + File "tools/train.py", line 135, in + main() + File "tools/train.py", line 131, in main + runner.train() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1745, in train + model = self.train_loop.run() # type: ignore + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/loops.py", line 102, in run + self.runner.val_loop.run() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/loops.py", line 366, in run + metrics = self.evaluator.evaluate(len(self.dataloader.dataset)) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/evaluator/evaluator.py", line 79, in evaluate + _results = metric.evaluate(size) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/evaluator/metric.py", line 144, in evaluate + broadcast_object_list(metrics) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/dist.py", line 519, in broadcast_object_list + torch_dist.broadcast_object_list(data, src, group) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 1733, in broadcast_object_list + broadcast(object_tensor, src=src, group=group) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 1076, in broadcast + work = default_pg.broadcast([tensor], opts) +RuntimeError: NCCL communicator was aborted on rank 1. +[E ProcessGroupNCCL.cpp:325] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data. To avoid this inconsistency, we are taking the entire process down. +ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -6) local_rank: 1 (pid: 1226455) of binary: /home/xzt/miniconda3/envs/detr/bin/python +ERROR:torch.distributed.elastic.agent.server.local_elastic_agent:[default] Worker group failed +INFO:torch.distributed.elastic.agent.server.api:[default] Worker group FAILED. 3/3 attempts left; will restart worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Stopping worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous'ing worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous complete for workers. Result: + restart_count=1 + master_addr=127.0.0.1 + master_port=29500 + group_rank=0 + group_world_size=1 + local_ranks=[0, 1] + role_ranks=[0, 1] + global_ranks=[0, 1] + role_world_sizes=[2, 2] + global_world_sizes=[2, 2] + +INFO:torch.distributed.elastic.agent.server.api:[default] Starting worker group +INFO:torch.distributed.elastic.multiprocessing:Setting worker0 reply file to: /tmp/torchelastic_gd60q8gl/none_pjsltnvk/attempt_1/0/error.json +INFO:torch.distributed.elastic.multiprocessing:Setting worker1 reply file to: /tmp/torchelastic_gd60q8gl/none_pjsltnvk/attempt_1/1/error.json +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +Traceback (most recent call last): + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3489, in + main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3482, in main + globals = debugger.run(setup['file'], None, None, is_module) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2510, in run + return self._exec(is_module, entry_point_fn, module_name, file, globals, locals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2517, in _exec + globals = pydevd_runpy.run_path(file, globals, '__main__') + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path + return _run_module_code(code, init_globals, run_name, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code + _run_code(code, mod_globals, init_globals, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code + exec(code, run_globals) + File "tools/train.py", line 135, in + main() + File "tools/train.py", line 124, in main + runner = Runner.from_cfg(cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + runner = cls( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + self.setup_env(env_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + init_dist(self.launcher, **dist_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist + _init_dist_pytorch(backend, init_backend=init_backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + torch_dist.init_process_group(backend=backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + _store_based_barrier(rank, store, timeout) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 219, in _store_based_barrier + raise RuntimeError( +RuntimeError: Timed out initializing process group in store based barrier on rank: 0, for key: store_based_barrier_key:1 (world_size=2, worker_count=4, timeout=0:30:00) +Traceback (most recent call last): + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3489, in + main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3482, in main + globals = debugger.run(setup['file'], None, None, is_module) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2510, in run + return self._exec(is_module, entry_point_fn, module_name, file, globals, locals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2517, in _exec + globals = pydevd_runpy.run_path(file, globals, '__main__') + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path + return _run_module_code(code, init_globals, run_name, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code + _run_code(code, mod_globals, init_globals, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code + exec(code, run_globals) + File "tools/train.py", line 135, in + main() + File "tools/train.py", line 124, in main + runner = Runner.from_cfg(cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + runner = cls( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + self.setup_env(env_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + init_dist(self.launcher, **dist_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist + _init_dist_pytorch(backend, init_backend=init_backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + torch_dist.init_process_group(backend=backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + _store_based_barrier(rank, store, timeout) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 219, in _store_based_barrier + raise RuntimeError( +RuntimeError: Timed out initializing process group in store based barrier on rank: 1, for key: store_based_barrier_key:1 (world_size=2, worker_count=4, timeout=0:30:00) +ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 1231564) of binary: /home/xzt/miniconda3/envs/detr/bin/python +ERROR:torch.distributed.elastic.agent.server.local_elastic_agent:[default] Worker group failed +INFO:torch.distributed.elastic.agent.server.api:[default] Worker group FAILED. 2/3 attempts left; will restart worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Stopping worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous'ing worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous complete for workers. Result: + restart_count=2 + master_addr=127.0.0.1 + master_port=29500 + group_rank=0 + group_world_size=1 + local_ranks=[0, 1] + role_ranks=[0, 1] + global_ranks=[0, 1] + role_world_sizes=[2, 2] + global_world_sizes=[2, 2] + +INFO:torch.distributed.elastic.agent.server.api:[default] Starting worker group +INFO:torch.distributed.elastic.multiprocessing:Setting worker0 reply file to: /tmp/torchelastic_gd60q8gl/none_pjsltnvk/attempt_2/0/error.json +INFO:torch.distributed.elastic.multiprocessing:Setting worker1 reply file to: /tmp/torchelastic_gd60q8gl/none_pjsltnvk/attempt_2/1/error.json +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +Traceback (most recent call last): + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3489, in + main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3482, in main + globals = debugger.run(setup['file'], None, None, is_module) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2510, in run + return self._exec(is_module, entry_point_fn, module_name, file, globals, locals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2517, in _exec + globals = pydevd_runpy.run_path(file, globals, '__main__') + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path + return _run_module_code(code, init_globals, run_name, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code + _run_code(code, mod_globals, init_globals, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code + exec(code, run_globals) + File "tools/train.py", line 135, in + main() + File "tools/train.py", line 124, in main + runner = Runner.from_cfg(cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + runner = cls( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + self.setup_env(env_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + init_dist(self.launcher, **dist_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist + _init_dist_pytorch(backend, init_backend=init_backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + torch_dist.init_process_group(backend=backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + _store_based_barrier(rank, store, timeout) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 219, in _store_based_barrier + raise RuntimeError( +RuntimeError: Timed out initializing process group in store based barrier on rank: 0, for key: store_based_barrier_key:1 (world_size=2, worker_count=6, timeout=0:30:00) +Traceback (most recent call last): + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3489, in + main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3482, in main + globals = debugger.run(setup['file'], None, None, is_module) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2510, in run + return self._exec(is_module, entry_point_fn, module_name, file, globals, locals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2517, in _exec + globals = pydevd_runpy.run_path(file, globals, '__main__') + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path + return _run_module_code(code, init_globals, run_name, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code + _run_code(code, mod_globals, init_globals, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code + exec(code, run_globals) + File "tools/train.py", line 135, in + main() + File "tools/train.py", line 124, in main + runner = Runner.from_cfg(cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + runner = cls( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + self.setup_env(env_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + init_dist(self.launcher, **dist_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist + _init_dist_pytorch(backend, init_backend=init_backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + torch_dist.init_process_group(backend=backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + _store_based_barrier(rank, store, timeout) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 219, in _store_based_barrier + raise RuntimeError( +RuntimeError: Timed out initializing process group in store based barrier on rank: 1, for key: store_based_barrier_key:1 (world_size=2, worker_count=6, timeout=0:30:00) +ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 1231614) of binary: /home/xzt/miniconda3/envs/detr/bin/python +ERROR:torch.distributed.elastic.agent.server.local_elastic_agent:[default] Worker group failed +INFO:torch.distributed.elastic.agent.server.api:[default] Worker group FAILED. 1/3 attempts left; will restart worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Stopping worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous'ing worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous complete for workers. Result: + restart_count=3 + master_addr=127.0.0.1 + master_port=29500 + group_rank=0 + group_world_size=1 + local_ranks=[0, 1] + role_ranks=[0, 1] + global_ranks=[0, 1] + role_world_sizes=[2, 2] + global_world_sizes=[2, 2] + +INFO:torch.distributed.elastic.agent.server.api:[default] Starting worker group +INFO:torch.distributed.elastic.multiprocessing:Setting worker0 reply file to: /tmp/torchelastic_gd60q8gl/none_pjsltnvk/attempt_3/0/error.json +INFO:torch.distributed.elastic.multiprocessing:Setting worker1 reply file to: /tmp/torchelastic_gd60q8gl/none_pjsltnvk/attempt_3/1/error.json +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +Traceback (most recent call last): + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3489, in + main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3482, in main + globals = debugger.run(setup['file'], None, None, is_module) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2510, in run + return self._exec(is_module, entry_point_fn, module_name, file, globals, locals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2517, in _exec + globals = pydevd_runpy.run_path(file, globals, '__main__') + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path + return _run_module_code(code, init_globals, run_name, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code + _run_code(code, mod_globals, init_globals, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code + exec(code, run_globals) + File "tools/train.py", line 135, in + main() + File "tools/train.py", line 124, in main + runner = Runner.from_cfg(cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + runner = cls( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + self.setup_env(env_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + init_dist(self.launcher, **dist_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist + _init_dist_pytorch(backend, init_backend=init_backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + torch_dist.init_process_group(backend=backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + _store_based_barrier(rank, store, timeout) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 219, in _store_based_barrier + raise RuntimeError( +RuntimeError: Timed out initializing process group in store based barrier on rank: 0, for key: store_based_barrier_key:1 (world_size=2, worker_count=8, timeout=0:30:00) +Traceback (most recent call last): + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3489, in + main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 3482, in main + globals = debugger.run(setup['file'], None, None, is_module) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2510, in run + return self._exec(is_module, entry_point_fn, module_name, file, globals, locals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd.py", line 2517, in _exec + globals = pydevd_runpy.run_path(file, globals, '__main__') + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path + return _run_module_code(code, init_globals, run_name, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code + _run_code(code, mod_globals, init_globals, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code + exec(code, run_globals) + File "tools/train.py", line 135, in + main() + File "tools/train.py", line 124, in main + runner = Runner.from_cfg(cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + runner = cls( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + self.setup_env(env_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + init_dist(self.launcher, **dist_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist + _init_dist_pytorch(backend, init_backend=init_backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + torch_dist.init_process_group(backend=backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + _store_based_barrier(rank, store, timeout) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 219, in _store_based_barrier + raise RuntimeError( +RuntimeError: Timed out initializing process group in store based barrier on rank: 1, for key: store_based_barrier_key:1 (world_size=2, worker_count=8, timeout=0:30:00) +ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 1231654) of binary: /home/xzt/miniconda3/envs/detr/bin/python +ERROR:torch.distributed.elastic.agent.server.local_elastic_agent:[default] Worker group failed +INFO:torch.distributed.elastic.agent.server.api:Local worker group finished (FAILED). Waiting 300 seconds for other agents to finish +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/utils/store.py:70: FutureWarning: This is an experimental API and will be changed in future. + warnings.warn( +INFO:torch.distributed.elastic.agent.server.api:Done waiting for other agents. Elapsed: 0.0035631656646728516 seconds +{"name": "torchelastic.worker.status.FAILED", "source": "WORKER", "timestamp": 0, "metadata": {"run_id": "none", "global_rank": 0, "group_rank": 0, "worker_id": "1231654", "role": "default", "hostname": "ys-SYS", "state": "FAILED", "total_run_time": 12924, "rdzv_backend": "static", "raw_error": "{\"message\": \"\"}", "metadata": "{\"group_world_size\": 1, \"entry_point\": \"python\", \"local_rank\": [0], \"role_rank\": [0], \"role_world_size\": [2]}", "agent_restarts": 3}} +{"name": "torchelastic.worker.status.FAILED", "source": "WORKER", "timestamp": 0, "metadata": {"run_id": "none", "global_rank": 1, "group_rank": 0, "worker_id": "1231655", "role": "default", "hostname": "ys-SYS", "state": "FAILED", "total_run_time": 12924, "rdzv_backend": "static", "raw_error": "{\"message\": \"\"}", "metadata": "{\"group_world_size\": 1, \"entry_point\": \"python\", \"local_rank\": [1], \"role_rank\": [1], \"role_world_size\": [2]}", "agent_restarts": 3}} +{"name": "torchelastic.worker.status.SUCCEEDED", "source": "AGENT", "timestamp": 0, "metadata": {"run_id": "none", "global_rank": null, "group_rank": 0, "worker_id": null, "role": "default", "hostname": "ys-SYS", "state": "SUCCEEDED", "total_run_time": 12924, "rdzv_backend": "static", "raw_error": null, "metadata": "{\"group_world_size\": 1, \"entry_point\": \"python\"}", "agent_restarts": 3}} +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py:354: UserWarning: + +********************************************************************** + CHILD PROCESS FAILED WITH NO ERROR_FILE +********************************************************************** +CHILD PROCESS FAILED WITH NO ERROR_FILE +Child process 1231654 (local_rank 0) FAILED (exitcode 1) +Error msg: Process failed with exitcode 1 +Without writing an error file to . +While this DOES NOT affect the correctness of your application, +no trace information about the error will be available for inspection. +Consider decorating your top level entrypoint function with +torch.distributed.elastic.multiprocessing.errors.record. Example: + + from torch.distributed.elastic.multiprocessing.errors import record + + @record + def trainer_main(args): + # do train +********************************************************************** + warnings.warn(_no_error_file_warning_msg(rank, failure)) +Traceback (most recent call last): + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/runpy.py", line 194, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/runpy.py", line 87, in _run_code + exec(code, run_globals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/__main__.py", line 39, in + cli.main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/server/cli.py", line 430, in main + run() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/server/cli.py", line 317, in run_module + run_module_as_main(options.target, alter_argv=True) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 238, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code + exec(code, run_globals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launch.py", line 173, in + main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launch.py", line 169, in main + run(args) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/run.py", line 621, in run + elastic_launch( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 116, in __call__ + return launch_agent(self._config, self._entrypoint, list(args)) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 348, in wrapper + return f(*args, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 245, in launch_agent + raise ChildFailedError( +torch.distributed.elastic.multiprocessing.errors.ChildFailedError: +*************************************** + tools/train.py FAILED +======================================= +Root Cause: +[0]: + time: 2023-10-12_02:33:43 + rank: 0 (local_rank: 0) + exitcode: 1 (pid: 1231654) + error_file: + msg: "Process failed with exitcode 1" +======================================= +Other Failures: +[1]: + time: 2023-10-12_02:33:43 + rank: 1 (local_rank: 1) + exitcode: 1 (pid: 1231655) + error_file: + msg: "Process failed with exitcode 1" +*************************************** + +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launch.py:163: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead + logger.warn( +The module torch.distributed.launch is deprecated and going to be removed in future.Migrate to torch.distributed.run +WARNING:torch.distributed.run:--use_env is deprecated and will be removed in future releases. + Please read local_rank from `os.environ('LOCAL_RANK')` instead. +INFO:torch.distributed.launcher.api:Starting elastic_operator with launch configs: + entrypoint : tools/train.py + min_nodes : 1 + max_nodes : 1 + nproc_per_node : 2 + run_id : none + rdzv_backend : static + rdzv_endpoint : 127.0.0.1:29500 + rdzv_configs : {'rank': 0, 'timeout': 900} + max_restarts : 3 + monitor_interval : 5 + log_dir : None + metrics_cfg : {} + +INFO:torch.distributed.elastic.agent.server.local_elastic_agent:log directory set to: /tmp/torchelastic_zp8qmi12/none_kymfb1wf +INFO:torch.distributed.elastic.agent.server.api:[default] starting workers for entrypoint: python +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous'ing worker group +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/utils/store.py:52: FutureWarning: This is an experimental API and will be changed in future. + warnings.warn( +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous complete for workers. Result: + restart_count=0 + master_addr=127.0.0.1 + master_port=29500 + group_rank=0 + group_world_size=1 + local_ranks=[0, 1] + role_ranks=[0, 1] + global_ranks=[0, 1] + role_world_sizes=[2, 2] + global_world_sizes=[2, 2] + +INFO:torch.distributed.elastic.agent.server.api:[default] Starting worker group +INFO:torch.distributed.elastic.multiprocessing:Setting worker0 reply file to: /tmp/torchelastic_zp8qmi12/none_kymfb1wf/attempt_0/0/error.json +INFO:torch.distributed.elastic.multiprocessing:Setting worker1 reply file to: /tmp/torchelastic_zp8qmi12/none_kymfb1wf/attempt_0/1/error.json +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +10/12 09:35:41 - mmengine - INFO - +------------------------------------------------------------ +System environment: + sys.platform: linux + Python: 3.8.18 (default, Sep 11 2023, 13:40:15) [GCC 11.2.0] + CUDA available: True + numpy_random_seed: 865671399 + GPU 0,1: NVIDIA GeForce RTX 4090 + CUDA_HOME: /usr/local/cuda-11.7 + NVCC: Cuda compilation tools, release 11.7, V11.7.64 + GCC: gcc (Ubuntu 9.5.0-3ubuntu1) 9.5.0 + PyTorch: 1.9.0+cu111 + PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + + TorchVision: 0.10.0+cu111 + OpenCV: 4.8.0 + MMEngine: 0.8.4 + +Runtime environment: + cudnn_benchmark: False + mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} + dist_cfg: {'backend': 'nccl'} + seed: 865671399 + Distributed launcher: pytorch + Distributed training: True + GPU number: 2 +------------------------------------------------------------ + +10/12 09:35:42 - mmengine - INFO - Config: +backend_args = None +class_names = [ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', +] +custom_imports = dict(imports=[ + 'projects.DETR3D.detr3d', +]) +data_prefix = dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts='') +data_root = 'data/nuscenes/' +dataset_type = 'NuScenesDataset' +default_hooks = dict( + checkpoint=dict( + _scope_='mmdet3d', + interval=1, + max_keep_ckpts=1, + save_last=True, + type='CheckpointHook'), + logger=dict(_scope_='mmdet3d', interval=50, type='LoggerHook'), + param_scheduler=dict(_scope_='mmdet3d', type='ParamSchedulerHook'), + sampler_seed=dict(_scope_='mmdet3d', type='DistSamplerSeedHook'), + timer=dict(_scope_='mmdet3d', type='IterTimerHook'), + visualization=dict(_scope_='mmdet3d', type='Det3DVisualizationHook')) +default_scope = 'mmdet3d' +env_cfg = dict( + cudnn_benchmark=False, + dist_cfg=dict(backend='nccl'), + mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) +img_norm_cfg = dict( + bgr_to_rgb=False, mean=[ + 103.53, + 116.28, + 123.675, + ], std=[ + 1.0, + 1.0, + 1.0, + ]) +input_modality = dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False) +lang_model_name = 'bert-base-uncased' +launcher = 'pytorch' +load_from = 'pretrained/fcos3d.pth' +log_level = 'INFO' +log_processor = dict( + _scope_='mmdet3d', by_epoch=True, type='LogProcessor', window_size=50) +metainfo = dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', +]) +model = dict( + data_preprocessor=dict( + bgr_to_rgb=False, + mean=[ + 103.53, + 116.28, + 123.675, + ], + pad_size_divisor=32, + std=[ + 1.0, + 1.0, + 1.0, + ], + type='Det3DDataPreprocessor'), + encoder=dict( + fusion_layer_cfg=dict( + embed_dim=1024, + init_values=0.0001, + l_dim=256, + num_heads=4, + v_dim=256), + layer_cfg=dict( + ffn_cfg=dict( + embed_dims=256, feedforward_channels=2048, ffn_drop=0.0), + self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_levels=4)), + num_cp=6, + num_layers=6, + text_layer_cfg=dict( + ffn_cfg=dict( + embed_dims=256, feedforward_channels=1024, ffn_drop=0.0), + self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_heads=4))), + img_backbone=dict( + dcn=dict(deform_groups=1, fallback_on_stride=False, type='DCNv2'), + depth=50, + frozen_stages=1, + norm_cfg=dict(requires_grad=False, type='BN2d'), + norm_eval=True, + num_stages=4, + out_indices=( + 0, + 1, + 2, + 3, + ), + stage_with_dcn=( + False, + False, + True, + True, + ), + style='caffe', + type='mmdet.ResNet'), + img_neck=dict( + add_extra_convs='on_output', + in_channels=[ + 256, + 512, + 1024, + 2048, + ], + num_outs=4, + out_channels=256, + relu_before_extra_convs=True, + start_level=1, + type='mmdet.FPN'), + language_model=dict( + add_pooling_layer=False, + name='bert-base-uncased', + pad_to_max=False, + special_tokens_list=[ + '[CLS]', + '[SEP]', + '.', + '?', + ], + type='BertModel', + use_sub_sentence_represent=True), + positional_encoding_single=dict( + normalize=True, num_feats=128, offset=0.0, temperature=20), + pts_bbox_head=dict( + as_two_stage=False, + bbox_coder=dict( + max_num=300, + num_classes=10, + pc_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + post_center_range=[ + -61.2, + -61.2, + -10.0, + 61.2, + 61.2, + 10.0, + ], + type='NMSFreeCoder', + voxel_size=[ + 0.2, + 0.2, + 8, + ]), + in_channels=256, + loss_bbox=dict(loss_weight=0.25, type='mmdet.L1Loss'), + loss_cls=dict( + alpha=0.25, + gamma=2.0, + loss_weight=2.0, + type='mmdet.FocalLoss', + use_sigmoid=True), + loss_iou=dict(loss_weight=0.0, type='mmdet.GIoULoss'), + num_classes=10, + num_query=900, + positional_encoding=dict( + normalize=True, + num_feats=128, + offset=-0.5, + type='mmdet.SinePositionalEncoding'), + sync_cls_avg_factor=True, + transformer=dict( + decoder=dict( + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + attn_cfgs=[ + dict( + dropout=0.1, + embed_dims=256, + num_heads=8, + type='MultiheadAttention'), + dict( + dropout=0.0, + embed_dims=256, + num_heads=8, + type='MultiheadAttention'), + dict( + embed_dims=256, + num_points=1, + pc_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + type='Detr3DCrossAtten'), + ], + feedforward_channels=512, + ffn_dropout=0.1, + operation_order=( + 'self_attn', + 'norm', + 'self_attn_text', + 'norm', + 'cross_attn', + 'norm', + 'ffn', + 'norm', + ), + type='mmdet.DetrTransformerDecoderLayer'), + type='Detr3DTransformerDecoder'), + type='Detr3DTransformer'), + type='DETR3DHead', + with_box_refine=True), + train_cfg=dict( + pts=dict( + assigner=dict( + cls_cost=dict(type='mmdet.FocalLossCost', weight=2.0), + iou_cost=dict(type='mmdet.IoUCost', weight=0.0), + pc_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + type='HungarianAssigner3D'), + grid_size=[ + 512, + 512, + 1, + ], + out_size_factor=4, + point_cloud_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + voxel_size=[ + 0.2, + 0.2, + 8, + ])), + type='DETR3D', + use_grid_mask=True) +optim_wrapper = dict( + clip_grad=dict(max_norm=35, norm_type=2), + optimizer=dict(lr=0.0002, type='AdamW', weight_decay=0.01), + paramwise_cfg=dict(custom_keys=dict(img_backbone=dict(lr_mult=0.1))), + type='OptimWrapper') +param_scheduler = [ + dict( + begin=0, + by_epoch=False, + end=500, + start_factor=0.3333333333333333, + type='LinearLR'), + dict( + T_max=24, + begin=0, + by_epoch=True, + end=24, + eta_min_ratio=0.001, + type='CosineAnnealingLR'), +] +point_cloud_range = [ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, +] +resume = False +test_cfg = dict(type='TestLoop') +test_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='nuscenes_infos_val.pkl', + backend_args=None, + box_type_3d='LiDAR', + data_prefix=dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts=''), + data_root='data/nuscenes/', + load_type='frame_based', + metainfo=dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ]), + modality=dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False), + pipeline=[ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + transforms=[ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict(keys=[ + 'img', + ], type='Pack3DDetInputs'), + ], + test_mode=True, + type='NuScenesDataset'), + drop_last=False, + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +test_evaluator = dict( + ann_file='data/nuscenes/nuscenes_infos_val.pkl', + backend_args=None, + data_root='data/nuscenes/', + metric='bbox', + type='NuScenesMetric') +test_pipeline = [ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + transforms=[ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict(keys=[ + 'img', + ], type='Pack3DDetInputs'), +] +test_transforms = [ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), +] +total_epochs = 24 +train_cfg = dict(max_epochs=24, type='EpochBasedTrainLoop', val_interval=1) +train_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='nuscenes_infos_train.pkl', + backend_args=None, + box_type_3d='LiDAR', + data_prefix=dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts=''), + data_root='data/nuscenes/', + load_interval=2, + load_type='frame_based', + metainfo=dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ]), + modality=dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False), + pipeline=[ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + type='LoadAnnotations3D', + with_attr_label=False, + with_bbox_3d=True, + with_label_3d=True), + dict( + transforms=[ + dict(type='PhotoMetricDistortion3D'), + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict( + point_cloud_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + type='ObjectRangeFilter'), + dict( + classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ], + type='ObjectNameFilter'), + dict( + keys=[ + 'img', + 'gt_bboxes_3d', + 'gt_labels_3d', + ], + type='Pack3DDetInputs'), + ], + test_mode=False, + type='NuScenesDataset'), + drop_last=False, + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=True, type='DefaultSampler')) +train_pipeline = [ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + type='LoadAnnotations3D', + with_attr_label=False, + with_bbox_3d=True, + with_label_3d=True), + dict( + transforms=[ + dict(type='PhotoMetricDistortion3D'), + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict( + point_cloud_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + type='ObjectRangeFilter'), + dict( + classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ], + type='ObjectNameFilter'), + dict( + keys=[ + 'img', + 'gt_bboxes_3d', + 'gt_labels_3d', + ], type='Pack3DDetInputs'), +] +train_transforms = [ + dict(type='PhotoMetricDistortion3D'), + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), +] +val_cfg = dict(type='ValLoop') +val_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='nuscenes_infos_val.pkl', + backend_args=None, + box_type_3d='LiDAR', + data_prefix=dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts=''), + data_root='data/nuscenes/', + load_type='frame_based', + metainfo=dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ]), + modality=dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False), + pipeline=[ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + transforms=[ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict(keys=[ + 'img', + ], type='Pack3DDetInputs'), + ], + test_mode=True, + type='NuScenesDataset'), + drop_last=False, + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +val_evaluator = dict( + ann_file='data/nuscenes/nuscenes_infos_val.pkl', + backend_args=None, + data_root='data/nuscenes/', + metric='bbox', + type='NuScenesMetric') +vis_backends = [ + dict(type='TensorboardVisBackend'), +] +visualizer = dict( + name='visualizer', + type='Det3DLocalVisualizer', + vis_backends=[ + dict(type='TensorboardVisBackend'), + ]) +voxel_size = [ + 0.2, + 0.2, + 8, +] +work_dir = './work_dirs/detr3d_r50_bert_gridmask_halfdata_decoder' + +10/12 09:35:50 - mmengine - INFO - Autoplay mode, press [SPACE] to pause. +10/12 09:35:50 - mmengine - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) RuntimeInfoHook +(BELOW_NORMAL) LoggerHook + -------------------- +before_train: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_train_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(NORMAL ) DistSamplerSeedHook + -------------------- +before_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook + -------------------- +after_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_train_epoch: +(NORMAL ) IterTimerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_val_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_val_iter: +(NORMAL ) IterTimerHook + -------------------- +after_val_iter: +(NORMAL ) IterTimerHook +(NORMAL ) Det3DVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_val_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_train: +(VERY_HIGH ) RuntimeInfoHook +(VERY_LOW ) CheckpointHook + -------------------- +before_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_test_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_test_iter: +(NORMAL ) IterTimerHook + -------------------- +after_test_iter: +(NORMAL ) IterTimerHook +(NORMAL ) Det3DVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_run: +(BELOW_NORMAL) LoggerHook + -------------------- +ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -9) local_rank: 0 (pid: 1245936) of binary: /home/xzt/miniconda3/envs/detr/bin/python +ERROR:torch.distributed.elastic.agent.server.local_elastic_agent:[default] Worker group failed +INFO:torch.distributed.elastic.agent.server.api:[default] Worker group FAILED. 3/3 attempts left; will restart worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Stopping worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous'ing worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous complete for workers. Result: + restart_count=1 + master_addr=127.0.0.1 + master_port=29500 + group_rank=0 + group_world_size=1 + local_ranks=[0, 1] + role_ranks=[0, 1] + global_ranks=[0, 1] + role_world_sizes=[2, 2] + global_world_sizes=[2, 2] + +INFO:torch.distributed.elastic.agent.server.api:[default] Starting worker group +INFO:torch.distributed.elastic.multiprocessing:Setting worker0 reply file to: /tmp/torchelastic_zp8qmi12/none_kymfb1wf/attempt_1/0/error.json +INFO:torch.distributed.elastic.multiprocessing:Setting worker1 reply file to: /tmp/torchelastic_zp8qmi12/none_kymfb1wf/attempt_1/1/error.json +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launch.py:163: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead + logger.warn( +The module torch.distributed.launch is deprecated and going to be removed in future.Migrate to torch.distributed.run +WARNING:torch.distributed.run:--use_env is deprecated and will be removed in future releases. + Please read local_rank from `os.environ('LOCAL_RANK')` instead. +INFO:torch.distributed.launcher.api:Starting elastic_operator with launch configs: + entrypoint : tools/train.py + min_nodes : 1 + max_nodes : 1 + nproc_per_node : 2 + run_id : none + rdzv_backend : static + rdzv_endpoint : 127.0.0.1:29500 + rdzv_configs : {'rank': 0, 'timeout': 900} + max_restarts : 3 + monitor_interval : 5 + log_dir : None + metrics_cfg : {} + +INFO:torch.distributed.elastic.agent.server.local_elastic_agent:log directory set to: /tmp/torchelastic_uw6y1g2e/none_cjgta9_x +INFO:torch.distributed.elastic.agent.server.api:[default] starting workers for entrypoint: python +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous'ing worker group +{"name": "torchelastic.worker.status.FAILED", "source": "AGENT", "timestamp": 0, "metadata": {"run_id": "none", "global_rank": null, "group_rank": null, "worker_id": null, "role": "default", "hostname": "ys-SYS", "state": "FAILED", "total_run_time": 0, "rdzv_backend": "static", "raw_error": "Traceback (most recent call last):\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launcher/api.py\", line 238, in launch_agent\n result = agent.run()\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/metrics/api.py\", line 125, in wrapper\n result = f(*args, **kwargs)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py\", line 700, in run\n result = self._invoke_run(role)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py\", line 822, in _invoke_run\n self._initialize_workers(self._worker_group)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/metrics/api.py\", line 125, in wrapper\n result = f(*args, **kwargs)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py\", line 670, in _initialize_workers\n self._rendezvous(worker_group)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/metrics/api.py\", line 125, in wrapper\n result = f(*args, **kwargs)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py\", line 530, in _rendezvous\n store, group_rank, group_world_size = spec.rdzv_handler.next_rendezvous()\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py\", line 55, in next_rendezvous\n self._store = TCPStore(\nRuntimeError: Address already in use\n", "metadata": "{\"group_world_size\": null, \"entry_point\": \"python\"}", "agent_restarts": 0}} +ERROR:torch.distributed.elastic.multiprocessing.errors.error_handler:{ + "message": { + "message": "RuntimeError: Address already in use", + "extraInfo": { + "py_callstack": "Traceback (most recent call last):\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py\", line 348, in wrapper\n return f(*args, **kwargs)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launcher/api.py\", line 238, in launch_agent\n result = agent.run()\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/metrics/api.py\", line 125, in wrapper\n result = f(*args, **kwargs)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py\", line 700, in run\n result = self._invoke_run(role)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py\", line 822, in _invoke_run\n self._initialize_workers(self._worker_group)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/metrics/api.py\", line 125, in wrapper\n result = f(*args, **kwargs)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py\", line 670, in _initialize_workers\n self._rendezvous(worker_group)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/metrics/api.py\", line 125, in wrapper\n result = f(*args, **kwargs)\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py\", line 530, in _rendezvous\n store, group_rank, group_world_size = spec.rdzv_handler.next_rendezvous()\n File \"/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py\", line 55, in next_rendezvous\n self._store = TCPStore(\nRuntimeError: Address already in use\n", + "timestamp": "1697074625" + } + } +} +Traceback (most recent call last): + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/runpy.py", line 194, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/runpy.py", line 87, in _run_code + exec(code, run_globals) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launch.py", line 173, in + main() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launch.py", line 169, in main + run(args) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/run.py", line 621, in run + elastic_launch( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 116, in __call__ + return launch_agent(self._config, self._entrypoint, list(args)) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 348, in wrapper + return f(*args, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 238, in launch_agent + result = agent.run() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/metrics/api.py", line 125, in wrapper + result = f(*args, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py", line 700, in run + result = self._invoke_run(role) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py", line 822, in _invoke_run + self._initialize_workers(self._worker_group) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/metrics/api.py", line 125, in wrapper + result = f(*args, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py", line 670, in _initialize_workers + self._rendezvous(worker_group) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/metrics/api.py", line 125, in wrapper + result = f(*args, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/agent/server/api.py", line 530, in _rendezvous + store, group_rank, group_world_size = spec.rdzv_handler.next_rendezvous() + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py", line 55, in next_rendezvous + self._store = TCPStore( +RuntimeError: Address already in use +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +Traceback (most recent call last): +Traceback (most recent call last): + File "tools/train.py", line 135, in + File "tools/train.py", line 135, in + main()main() + + File "tools/train.py", line 124, in main + File "tools/train.py", line 124, in main + runner = Runner.from_cfg(cfg)runner = Runner.from_cfg(cfg) + + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + runner = cls(runner = cls( + + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + self.setup_env(env_cfg)self.setup_env(env_cfg) + + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + init_dist(self.launcher, **dist_cfg)init_dist(self.launcher, **dist_cfg) + + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist + _init_dist_pytorch(backend, init_backend=init_backend, **kwargs)_init_dist_pytorch(backend, init_backend=init_backend, **kwargs) + + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + torch_dist.init_process_group(backend=backend, **kwargs)torch_dist.init_process_group(backend=backend, **kwargs) + + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + _store_based_barrier(rank, store, timeout)_store_based_barrier(rank, store, timeout) + + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 219, in _store_based_barrier + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 219, in _store_based_barrier + raise RuntimeError(raise RuntimeError( + +RuntimeErrorRuntimeError: : Timed out initializing process group in store based barrier on rank: 0, for key: store_based_barrier_key:1 (world_size=2, worker_count=4, timeout=0:30:00)Timed out initializing process group in store based barrier on rank: 1, for key: store_based_barrier_key:1 (world_size=2, worker_count=4, timeout=0:30:00) + +ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 1246328) of binary: /home/xzt/miniconda3/envs/detr/bin/python +ERROR:torch.distributed.elastic.agent.server.local_elastic_agent:[default] Worker group failed +INFO:torch.distributed.elastic.agent.server.api:[default] Worker group FAILED. 2/3 attempts left; will restart worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Stopping worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous'ing worker group +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous complete for workers. Result: + restart_count=2 + master_addr=127.0.0.1 + master_port=29500 + group_rank=0 + group_world_size=1 + local_ranks=[0, 1] + role_ranks=[0, 1] + global_ranks=[0, 1] + role_world_sizes=[2, 2] + global_world_sizes=[2, 2] + +INFO:torch.distributed.elastic.agent.server.api:[default] Starting worker group +INFO:torch.distributed.elastic.multiprocessing:Setting worker0 reply file to: /tmp/torchelastic_zp8qmi12/none_kymfb1wf/attempt_2/0/error.json +INFO:torch.distributed.elastic.multiprocessing:Setting worker1 reply file to: /tmp/torchelastic_zp8qmi12/none_kymfb1wf/attempt_2/1/error.json +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +Traceback (most recent call last): +Traceback (most recent call last): + File "tools/train.py", line 135, in + File "tools/train.py", line 135, in + main()main() + + File "tools/train.py", line 124, in main + File "tools/train.py", line 124, in main + runner = Runner.from_cfg(cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + runner = Runner.from_cfg(cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 445, in from_cfg + runner = cls( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + self.setup_env(env_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + runner = cls( + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 355, in __init__ + init_dist(self.launcher, **dist_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist + _init_dist_pytorch(backend, init_backend=init_backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + self.setup_env(env_cfg) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/runner/runner.py", line 658, in setup_env + torch_dist.init_process_group(backend=backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + _store_based_barrier(rank, store, timeout) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 208, in _store_based_barrier + worker_count = store.add(store_key, 0) + init_dist(self.launcher, **dist_cfg) +RuntimeError: File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 84, in init_dist +Connection reset by peer + _init_dist_pytorch(backend, init_backend=init_backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/dist/utils.py", line 125, in _init_dist_pytorch + torch_dist.init_process_group(backend=backend, **kwargs) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 547, in init_process_group + _store_based_barrier(rank, store, timeout) + File "/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 208, in _store_based_barrier + worker_count = store.add(store_key, 0) +RuntimeError: Connection reset by peer +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/launch.py:163: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead + logger.warn( +The module torch.distributed.launch is deprecated and going to be removed in future.Migrate to torch.distributed.run +WARNING:torch.distributed.run:--use_env is deprecated and will be removed in future releases. + Please read local_rank from `os.environ('LOCAL_RANK')` instead. +INFO:torch.distributed.launcher.api:Starting elastic_operator with launch configs: + entrypoint : tools/train.py + min_nodes : 1 + max_nodes : 1 + nproc_per_node : 2 + run_id : none + rdzv_backend : static + rdzv_endpoint : 127.0.0.1:29500 + rdzv_configs : {'rank': 0, 'timeout': 900} + max_restarts : 3 + monitor_interval : 5 + log_dir : None + metrics_cfg : {} + +INFO:torch.distributed.elastic.agent.server.local_elastic_agent:log directory set to: /tmp/torchelastic_0ionp3vh/none_fvkd805s +INFO:torch.distributed.elastic.agent.server.api:[default] starting workers for entrypoint: python +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous'ing worker group +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/distributed/elastic/utils/store.py:52: FutureWarning: This is an experimental API and will be changed in future. + warnings.warn( +INFO:torch.distributed.elastic.agent.server.api:[default] Rendezvous complete for workers. Result: + restart_count=0 + master_addr=127.0.0.1 + master_port=29500 + group_rank=0 + group_world_size=1 + local_ranks=[0, 1] + role_ranks=[0, 1] + global_ranks=[0, 1] + role_world_sizes=[2, 2] + global_world_sizes=[2, 2] + +INFO:torch.distributed.elastic.agent.server.api:[default] Starting worker group +INFO:torch.distributed.elastic.multiprocessing:Setting worker0 reply file to: /tmp/torchelastic_0ionp3vh/none_fvkd805s/attempt_0/0/error.json +INFO:torch.distributed.elastic.multiprocessing:Setting worker1 reply file to: /tmp/torchelastic_0ionp3vh/none_fvkd805s/attempt_0/1/error.json +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmengine/utils/dl_utils/setup_env.py:56: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. + warnings.warn( +10/12 10:10:03 - mmengine - INFO - +------------------------------------------------------------ +System environment: + sys.platform: linux + Python: 3.8.18 (default, Sep 11 2023, 13:40:15) [GCC 11.2.0] + CUDA available: True + numpy_random_seed: 2116833002 + GPU 0,1: NVIDIA GeForce RTX 4090 + CUDA_HOME: /usr/local/cuda-11.7 + NVCC: Cuda compilation tools, release 11.7, V11.7.64 + GCC: gcc (Ubuntu 9.5.0-3ubuntu1) 9.5.0 + PyTorch: 1.9.0+cu111 + PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + + TorchVision: 0.10.0+cu111 + OpenCV: 4.8.0 + MMEngine: 0.8.4 + +Runtime environment: + cudnn_benchmark: False + mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} + dist_cfg: {'backend': 'nccl'} + seed: 2116833002 + Distributed launcher: pytorch + Distributed training: True + GPU number: 2 +------------------------------------------------------------ + +10/12 10:10:04 - mmengine - INFO - Config: +backend_args = None +class_names = [ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', +] +custom_imports = dict(imports=[ + 'projects.DETR3D.detr3d', +]) +data_prefix = dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts='') +data_root = 'data/nuscenes/' +dataset_type = 'NuScenesDataset' +default_hooks = dict( + checkpoint=dict( + _scope_='mmdet3d', + interval=1, + max_keep_ckpts=1, + save_last=True, + type='CheckpointHook'), + logger=dict(_scope_='mmdet3d', interval=50, type='LoggerHook'), + param_scheduler=dict(_scope_='mmdet3d', type='ParamSchedulerHook'), + sampler_seed=dict(_scope_='mmdet3d', type='DistSamplerSeedHook'), + timer=dict(_scope_='mmdet3d', type='IterTimerHook'), + visualization=dict(_scope_='mmdet3d', type='Det3DVisualizationHook')) +default_scope = 'mmdet3d' +env_cfg = dict( + cudnn_benchmark=False, + dist_cfg=dict(backend='nccl'), + mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) +img_norm_cfg = dict( + bgr_to_rgb=False, mean=[ + 103.53, + 116.28, + 123.675, + ], std=[ + 1.0, + 1.0, + 1.0, + ]) +input_modality = dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False) +lang_model_name = 'bert-base-uncased' +launcher = 'pytorch' +load_from = 'pretrained/fcos3d.pth' +log_level = 'INFO' +log_processor = dict( + _scope_='mmdet3d', by_epoch=True, type='LogProcessor', window_size=50) +metainfo = dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', +]) +model = dict( + data_preprocessor=dict( + bgr_to_rgb=False, + mean=[ + 103.53, + 116.28, + 123.675, + ], + pad_size_divisor=32, + std=[ + 1.0, + 1.0, + 1.0, + ], + type='Det3DDataPreprocessor'), + encoder=dict( + fusion_layer_cfg=dict( + embed_dim=1024, + init_values=0.0001, + l_dim=256, + num_heads=4, + v_dim=256), + layer_cfg=dict( + ffn_cfg=dict( + embed_dims=256, feedforward_channels=2048, ffn_drop=0.0), + self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_levels=4)), + num_cp=6, + num_layers=6, + text_layer_cfg=dict( + ffn_cfg=dict( + embed_dims=256, feedforward_channels=1024, ffn_drop=0.0), + self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_heads=4))), + img_backbone=dict( + dcn=dict(deform_groups=1, fallback_on_stride=False, type='DCNv2'), + depth=50, + frozen_stages=1, + norm_cfg=dict(requires_grad=False, type='BN2d'), + norm_eval=True, + num_stages=4, + out_indices=( + 0, + 1, + 2, + 3, + ), + stage_with_dcn=( + False, + False, + True, + True, + ), + style='caffe', + type='mmdet.ResNet'), + img_neck=dict( + add_extra_convs='on_output', + in_channels=[ + 256, + 512, + 1024, + 2048, + ], + num_outs=4, + out_channels=256, + relu_before_extra_convs=True, + start_level=1, + type='mmdet.FPN'), + language_model=dict( + add_pooling_layer=False, + name='bert-base-uncased', + pad_to_max=False, + special_tokens_list=[ + '[CLS]', + '[SEP]', + '.', + '?', + ], + type='BertModel', + use_sub_sentence_represent=True), + positional_encoding_single=dict( + normalize=True, num_feats=128, offset=0.0, temperature=20), + pts_bbox_head=dict( + as_two_stage=False, + bbox_coder=dict( + max_num=300, + num_classes=10, + pc_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + post_center_range=[ + -61.2, + -61.2, + -10.0, + 61.2, + 61.2, + 10.0, + ], + type='NMSFreeCoder', + voxel_size=[ + 0.2, + 0.2, + 8, + ]), + in_channels=256, + loss_bbox=dict(loss_weight=0.25, type='mmdet.L1Loss'), + loss_cls=dict( + alpha=0.25, + gamma=2.0, + loss_weight=2.0, + type='mmdet.FocalLoss', + use_sigmoid=True), + loss_iou=dict(loss_weight=0.0, type='mmdet.GIoULoss'), + num_classes=10, + num_query=900, + positional_encoding=dict( + normalize=True, + num_feats=128, + offset=-0.5, + type='mmdet.SinePositionalEncoding'), + sync_cls_avg_factor=True, + transformer=dict( + decoder=dict( + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + attn_cfgs=[ + dict( + dropout=0.1, + embed_dims=256, + num_heads=8, + type='MultiheadAttention'), + dict( + dropout=0.0, + embed_dims=256, + num_heads=8, + type='MultiheadAttention'), + dict( + embed_dims=256, + num_points=1, + pc_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + type='Detr3DCrossAtten'), + ], + feedforward_channels=512, + ffn_dropout=0.1, + operation_order=( + 'self_attn', + 'norm', + 'self_attn_text', + 'norm', + 'cross_attn', + 'norm', + 'ffn', + 'norm', + ), + type='mmdet.DetrTransformerDecoderLayer'), + type='Detr3DTransformerDecoder'), + type='Detr3DTransformer'), + type='DETR3DHead', + with_box_refine=True), + train_cfg=dict( + pts=dict( + assigner=dict( + cls_cost=dict(type='mmdet.FocalLossCost', weight=2.0), + iou_cost=dict(type='mmdet.IoUCost', weight=0.0), + pc_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + type='HungarianAssigner3D'), + grid_size=[ + 512, + 512, + 1, + ], + out_size_factor=4, + point_cloud_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + voxel_size=[ + 0.2, + 0.2, + 8, + ])), + type='DETR3D', + use_grid_mask=True) +optim_wrapper = dict( + clip_grad=dict(max_norm=35, norm_type=2), + optimizer=dict(lr=0.0002, type='AdamW', weight_decay=0.01), + paramwise_cfg=dict(custom_keys=dict(img_backbone=dict(lr_mult=0.1))), + type='OptimWrapper') +param_scheduler = [ + dict( + begin=0, + by_epoch=False, + end=500, + start_factor=0.3333333333333333, + type='LinearLR'), + dict( + T_max=24, + begin=0, + by_epoch=True, + end=24, + eta_min_ratio=0.001, + type='CosineAnnealingLR'), +] +point_cloud_range = [ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, +] +resume = False +test_cfg = dict(type='TestLoop') +test_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='nuscenes_infos_val.pkl', + backend_args=None, + box_type_3d='LiDAR', + data_prefix=dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts=''), + data_root='data/nuscenes/', + load_type='frame_based', + metainfo=dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ]), + modality=dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False), + pipeline=[ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + transforms=[ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict(keys=[ + 'img', + ], type='Pack3DDetInputs'), + ], + test_mode=True, + type='NuScenesDataset'), + drop_last=False, + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +test_evaluator = dict( + ann_file='data/nuscenes/nuscenes_infos_val.pkl', + backend_args=None, + data_root='data/nuscenes/', + metric='bbox', + type='NuScenesMetric') +test_pipeline = [ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + transforms=[ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict(keys=[ + 'img', + ], type='Pack3DDetInputs'), +] +test_transforms = [ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), +] +total_epochs = 24 +train_cfg = dict(max_epochs=24, type='EpochBasedTrainLoop', val_interval=1) +train_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='nuscenes_infos_train.pkl', + backend_args=None, + box_type_3d='LiDAR', + data_prefix=dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts=''), + data_root='data/nuscenes/', + load_interval=2, + load_type='frame_based', + metainfo=dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ]), + modality=dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False), + pipeline=[ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + type='LoadAnnotations3D', + with_attr_label=False, + with_bbox_3d=True, + with_label_3d=True), + dict( + transforms=[ + dict(type='PhotoMetricDistortion3D'), + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict( + point_cloud_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + type='ObjectRangeFilter'), + dict( + classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ], + type='ObjectNameFilter'), + dict( + keys=[ + 'img', + 'gt_bboxes_3d', + 'gt_labels_3d', + ], + type='Pack3DDetInputs'), + ], + test_mode=False, + type='NuScenesDataset'), + drop_last=False, + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=True, type='DefaultSampler')) +train_pipeline = [ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + type='LoadAnnotations3D', + with_attr_label=False, + with_bbox_3d=True, + with_label_3d=True), + dict( + transforms=[ + dict(type='PhotoMetricDistortion3D'), + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict( + point_cloud_range=[ + -51.2, + -51.2, + -5.0, + 51.2, + 51.2, + 3.0, + ], + type='ObjectRangeFilter'), + dict( + classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ], + type='ObjectNameFilter'), + dict( + keys=[ + 'img', + 'gt_bboxes_3d', + 'gt_labels_3d', + ], type='Pack3DDetInputs'), +] +train_transforms = [ + dict(type='PhotoMetricDistortion3D'), + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), +] +val_cfg = dict(type='ValLoop') +val_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='nuscenes_infos_val.pkl', + backend_args=None, + box_type_3d='LiDAR', + data_prefix=dict( + CAM_BACK='samples/CAM_BACK', + CAM_BACK_LEFT='samples/CAM_BACK_LEFT', + CAM_BACK_RIGHT='samples/CAM_BACK_RIGHT', + CAM_FRONT='samples/CAM_FRONT', + CAM_FRONT_LEFT='samples/CAM_FRONT_LEFT', + CAM_FRONT_RIGHT='samples/CAM_FRONT_RIGHT', + pts=''), + data_root='data/nuscenes/', + load_type='frame_based', + metainfo=dict(classes=[ + 'car', + 'truck', + 'construction_vehicle', + 'bus', + 'trailer', + 'barrier', + 'motorcycle', + 'bicycle', + 'pedestrian', + 'traffic_cone', + ]), + modality=dict( + use_camera=True, + use_external=False, + use_lidar=False, + use_map=False, + use_radar=False), + pipeline=[ + dict( + backend_args=None, + num_views=6, + to_float32=True, + type='LoadMultiViewImageFromFiles'), + dict( + transforms=[ + dict( + keep_ratio=True, + ratio_range=( + 1.0, + 1.0, + ), + scale=( + 1600, + 900, + ), + type='RandomResize3D'), + ], + type='MultiViewWrapper'), + dict(keys=[ + 'img', + ], type='Pack3DDetInputs'), + ], + test_mode=True, + type='NuScenesDataset'), + drop_last=False, + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +val_evaluator = dict( + ann_file='data/nuscenes/nuscenes_infos_val.pkl', + backend_args=None, + data_root='data/nuscenes/', + metric='bbox', + type='NuScenesMetric') +vis_backends = [ + dict(type='TensorboardVisBackend'), +] +visualizer = dict( + name='visualizer', + type='Det3DLocalVisualizer', + vis_backends=[ + dict(type='TensorboardVisBackend'), + ]) +voxel_size = [ + 0.2, + 0.2, + 8, +] +work_dir = './work_dirs/detr3d_r50_bert_gridmask_halfdata_decoder' + +10/12 10:10:12 - mmengine - INFO - Autoplay mode, press [SPACE] to pause. +10/12 10:10:12 - mmengine - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) RuntimeInfoHook +(BELOW_NORMAL) LoggerHook + -------------------- +before_train: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_train_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(NORMAL ) DistSamplerSeedHook + -------------------- +before_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook + -------------------- +after_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_train_epoch: +(NORMAL ) IterTimerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_val_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_val_iter: +(NORMAL ) IterTimerHook + -------------------- +after_val_iter: +(NORMAL ) IterTimerHook +(NORMAL ) Det3DVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_val_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_train: +(VERY_HIGH ) RuntimeInfoHook +(VERY_LOW ) CheckpointHook + -------------------- +before_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_test_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_test_iter: +(NORMAL ) IterTimerHook + -------------------- +after_test_iter: +(NORMAL ) IterTimerHook +(NORMAL ) Det3DVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_run: +(BELOW_NORMAL) LoggerHook + -------------------- +10/12 10:11:51 - mmengine - INFO - ------------------------------ +10/12 10:11:51 - mmengine - INFO - The length of the dataset: 14065 +10/12 10:11:51 - mmengine - INFO - The number of instances per category in the dataset: ++----------------------+--------+ +| category | number | ++----------------------+--------+ +| car | 206689 | +| truck | 36393 | +| construction_vehicle | 5990 | +| bus | 6576 | +| trailer | 10349 | +| barrier | 62576 | +| motorcycle | 5051 | +| bicycle | 4740 | +| pedestrian | 92925 | +| traffic_cone | 41120 | ++----------------------+--------+ +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.downsample.0.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.downsample.0.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.0.downsample.0.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.1.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.2.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer2.3.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.bias:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.bias:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv2.conv_offset.bias:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.downsample.0.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.downsample.0.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.0.downsample.0.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.bias:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.bias:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv2.conv_offset.bias:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.1.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.bias:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.bias:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv2.conv_offset.bias:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.2.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.bias:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.bias:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv2.conv_offset.bias:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.3.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.bias:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.bias:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv2.conv_offset.bias:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.4.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.bias:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.bias:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv2.conv_offset.bias:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer3.5.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.bias:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.bias:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv2.conv_offset.bias:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.downsample.0.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.downsample.0.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.0.downsample.0.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.bias:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.bias:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv2.conv_offset.bias:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.1.conv3.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv1.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv1.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv1.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.weight:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.bias:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.bias:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv2.conv_offset.bias:lr_mult=0.1 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv3.weight:lr=2e-05 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv3.weight:weight_decay=0.01 +10/12 10:11:51 - mmengine - INFO - paramwise_options -- img_backbone.layer4.2.conv3.weight:lr_mult=0.1 +/home/xzt/mmdetection3d-1.1.0/mmdet3d/evaluation/functional/kitti_utils/eval.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. + def get_thresholds(scores: np.ndarray, num_gt, num_sample_pts=41): +Loads checkpoint by local backend from path: pretrained/fcos3d.pth +10/12 10:12:17 - mmengine - INFO - ------------------------------ +10/12 10:12:17 - mmengine - INFO - The length of the dataset: 6019 +10/12 10:12:17 - mmengine - INFO - The number of instances per category in the dataset: ++----------------------+--------+ +| category | number | ++----------------------+--------+ +| car | 80004 | +| truck | 15704 | +| construction_vehicle | 2678 | +| bus | 3158 | +| trailer | 4159 | +| barrier | 26992 | +| motorcycle | 2508 | +| bicycle | 2381 | +| pedestrian | 34347 | +| traffic_cone | 15597 | ++----------------------+--------+ +/home/xzt/mmdetection3d-1.1.0/mmdet3d/evaluation/functional/kitti_utils/eval.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. + def get_thresholds(scores: np.ndarray, num_gt, num_sample_pts=41): +Loads checkpoint by local backend from path: pretrained/fcos3d.pth +The model and loaded state dict do not match exactly + +unexpected key in source state_dict: bbox_head.bld_alpha, bbox_head.cls_convs.0.conv.weight, bbox_head.cls_convs.0.conv.bias, bbox_head.cls_convs.0.gn.weight, bbox_head.cls_convs.0.gn.bias, bbox_head.cls_convs.1.conv.weight, bbox_head.cls_convs.1.conv.bias, bbox_head.cls_convs.1.conv.conv_offset.weight, bbox_head.cls_convs.1.conv.conv_offset.bias, bbox_head.cls_convs.1.gn.weight, bbox_head.cls_convs.1.gn.bias, bbox_head.reg_convs.0.conv.weight, bbox_head.reg_convs.0.conv.bias, bbox_head.reg_convs.0.gn.weight, bbox_head.reg_convs.0.gn.bias, bbox_head.reg_convs.1.conv.weight, bbox_head.reg_convs.1.conv.bias, bbox_head.reg_convs.1.conv.conv_offset.weight, bbox_head.reg_convs.1.conv.conv_offset.bias, bbox_head.reg_convs.1.gn.weight, bbox_head.reg_convs.1.gn.bias, bbox_head.conv_cls_prev.0.conv.weight, bbox_head.conv_cls_prev.0.conv.bias, bbox_head.conv_cls_prev.0.gn.weight, bbox_head.conv_cls_prev.0.gn.bias, bbox_head.conv_cls.weight, bbox_head.conv_cls.bias, bbox_head.conv_reg_prevs.0.0.conv.weight, bbox_head.conv_reg_prevs.0.0.conv.bias, bbox_head.conv_reg_prevs.0.0.gn.weight, bbox_head.conv_reg_prevs.0.0.gn.bias, bbox_head.conv_reg_prevs.1.0.conv.weight, bbox_head.conv_reg_prevs.1.0.conv.bias, bbox_head.conv_reg_prevs.1.0.gn.weight, bbox_head.conv_reg_prevs.1.0.gn.bias, bbox_head.conv_reg_prevs.2.0.conv.weight, bbox_head.conv_reg_prevs.2.0.conv.bias, bbox_head.conv_reg_prevs.2.0.gn.weight, bbox_head.conv_reg_prevs.2.0.gn.bias, bbox_head.conv_reg_prevs.3.0.conv.weight, bbox_head.conv_reg_prevs.3.0.conv.bias, bbox_head.conv_reg_prevs.3.0.gn.weight, bbox_head.conv_reg_prevs.3.0.gn.bias, bbox_head.conv_reg_prevs.5.0.conv.weight, 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language_model.language_backbone.body.model.encoder.layer.11.attention.output.dense.weight, language_model.language_backbone.body.model.encoder.layer.11.attention.output.dense.bias, language_model.language_backbone.body.model.encoder.layer.11.attention.output.LayerNorm.weight, language_model.language_backbone.body.model.encoder.layer.11.attention.output.LayerNorm.bias, language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.weight, language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.bias, language_model.language_backbone.body.model.encoder.layer.11.output.dense.weight, language_model.language_backbone.body.model.encoder.layer.11.output.dense.bias, language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.weight, language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.bias, text_feat_map.weight, text_feat_map.bias + +10/12 10:12:18 - mmengine - INFO - Load checkpoint from pretrained/fcos3d.pth +10/12 10:12:18 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io +10/12 10:12:18 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. +10/12 10:12:18 - mmengine - INFO - Checkpoints will be saved to /home/xzt/mmdetection3d-1.1.0/work_dirs/detr3d_r50_bert_gridmask_halfdata_decoder. +/home/xzt/mmdetection3d-1.1.0/projects/DETR3D/detr3d/grid_mask.py:132: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.) + mask = torch.from_numpy(mask).to(x) +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.) + return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode) +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmcv/cnn/bricks/transformer.py:524: UserWarning: position encoding of key ismissing in MultiheadAttention. + warnings.warn(f'position encoding of key is' +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:3981: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. + warnings.warn( +/home/xzt/mmdetection3d-1.1.0/projects/DETR3D/detr3d/grid_mask.py:132: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.) + mask = torch.from_numpy(mask).to(x) +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.) + return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode) +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmcv/cnn/bricks/transformer.py:524: UserWarning: position encoding of key ismissing in MultiheadAttention. + warnings.warn(f'position encoding of key is' +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:3981: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. + warnings.warn( +10/12 10:12:53 - mmengine - INFO - Epoch(train) [1][ 50/7033] base_lr: 7.9760e-05 lr: 7.9760e-05 eta: 1 day, 8:05:51 time: 0.6848 data_time: 0.0728 memory: 11852 grad_norm: 76.7404 loss: 21.8625 loss_cls: 1.7478 loss_bbox: 1.9477 d0.loss_cls: 1.6961 d0.loss_bbox: 1.9199 d1.loss_cls: 1.7232 d1.loss_bbox: 1.9028 d2.loss_cls: 1.6991 d2.loss_bbox: 1.9292 d3.loss_cls: 1.6902 d3.loss_bbox: 1.9442 d4.loss_cls: 1.6944 d4.loss_bbox: 1.9679 +10/12 10:13:25 - mmengine - INFO - Epoch(train) [1][ 100/7033] base_lr: 9.3120e-05 lr: 9.3120e-05 eta: 1 day, 7:13:04 time: 0.6476 data_time: 0.0409 memory: 11852 grad_norm: 57.1617 loss: 16.3264 loss_cls: 1.2112 loss_bbox: 1.5167 d0.loss_cls: 1.2026 d0.loss_bbox: 1.5242 d1.loss_cls: 1.2037 d1.loss_bbox: 1.4953 d2.loss_cls: 1.1951 d2.loss_bbox: 1.5057 d3.loss_cls: 1.2099 d3.loss_bbox: 1.5389 d4.loss_cls: 1.1941 d4.loss_bbox: 1.5291 +10/12 10:13:58 - mmengine - INFO - Epoch(train) [1][ 150/7033] base_lr: 1.0648e-04 lr: 1.0648e-04 eta: 1 day, 6:58:20 time: 0.6511 data_time: 0.0402 memory: 11852 grad_norm: 57.0322 loss: 17.4224 loss_cls: 1.2901 loss_bbox: 1.6162 d0.loss_cls: 1.2715 d0.loss_bbox: 1.6582 d1.loss_cls: 1.2715 d1.loss_bbox: 1.6435 d2.loss_cls: 1.2580 d2.loss_bbox: 1.6552 d3.loss_cls: 1.2805 d3.loss_bbox: 1.6133 d4.loss_cls: 1.2748 d4.loss_bbox: 1.5897 +10/12 10:14:30 - mmengine - INFO - Epoch(train) [1][ 200/7033] base_lr: 1.1984e-04 lr: 1.1984e-04 eta: 1 day, 6:48:00 time: 0.6472 data_time: 0.0397 memory: 11852 grad_norm: 56.1797 loss: 17.7070 loss_cls: 1.2871 loss_bbox: 1.6515 d0.loss_cls: 1.2805 d0.loss_bbox: 1.7207 d1.loss_cls: 1.2824 d1.loss_bbox: 1.6707 d2.loss_cls: 1.2819 d2.loss_bbox: 1.6636 d3.loss_cls: 1.2759 d3.loss_bbox: 1.6481 d4.loss_cls: 1.2815 d4.loss_bbox: 1.6633 +10/12 10:15:02 - mmengine - INFO - Epoch(train) [1][ 250/7033] base_lr: 1.3320e-04 lr: 1.3320e-04 eta: 1 day, 6:39:29 time: 0.6435 data_time: 0.0399 memory: 11852 grad_norm: 50.0301 loss: 16.7245 loss_cls: 1.2153 loss_bbox: 1.5928 d0.loss_cls: 1.1893 d0.loss_bbox: 1.6062 d1.loss_cls: 1.2294 d1.loss_bbox: 1.5771 d2.loss_cls: 1.2155 d2.loss_bbox: 1.5628 d3.loss_cls: 1.2089 d3.loss_bbox: 1.5585 d4.loss_cls: 1.2086 d4.loss_bbox: 1.5601 +10/12 10:15:34 - mmengine - INFO - Epoch(train) [1][ 300/7033] base_lr: 1.4656e-04 lr: 1.4656e-04 eta: 1 day, 6:34:36 time: 0.6456 data_time: 0.0400 memory: 11852 grad_norm: 46.2022 loss: 16.4702 loss_cls: 1.1920 loss_bbox: 1.5506 d0.loss_cls: 1.1652 d0.loss_bbox: 1.5959 d1.loss_cls: 1.1888 d1.loss_bbox: 1.5699 d2.loss_cls: 1.2009 d2.loss_bbox: 1.5479 d3.loss_cls: 1.1905 d3.loss_bbox: 1.5552 d4.loss_cls: 1.1776 d4.loss_bbox: 1.5359 +10/12 10:16:07 - mmengine - INFO - Epoch(train) [1][ 350/7033] base_lr: 1.5992e-04 lr: 1.5992e-04 eta: 1 day, 6:30:05 time: 0.6434 data_time: 0.0407 memory: 11852 grad_norm: 56.1687 loss: 17.6503 loss_cls: 1.2879 loss_bbox: 1.6918 d0.loss_cls: 1.2527 d0.loss_bbox: 1.6923 d1.loss_cls: 1.2551 d1.loss_bbox: 1.6422 d2.loss_cls: 1.2804 d2.loss_bbox: 1.6565 d3.loss_cls: 1.2818 d3.loss_bbox: 1.6704 d4.loss_cls: 1.2810 d4.loss_bbox: 1.6582 +10/12 10:16:39 - mmengine - INFO - Epoch(train) [1][ 400/7033] base_lr: 1.7328e-04 lr: 1.7328e-04 eta: 1 day, 6:28:18 time: 0.6484 data_time: 0.0405 memory: 11852 grad_norm: 55.8330 loss: 15.0824 loss_cls: 1.1172 loss_bbox: 1.3954 d0.loss_cls: 1.0899 d0.loss_bbox: 1.4907 d1.loss_cls: 1.1001 d1.loss_bbox: 1.4138 d2.loss_cls: 1.0961 d2.loss_bbox: 1.4092 d3.loss_cls: 1.0993 d3.loss_bbox: 1.3845 d4.loss_cls: 1.1144 d4.loss_bbox: 1.3716 +10/12 10:17:11 - mmengine - INFO - Epoch(train) [1][ 450/7033] base_lr: 1.8664e-04 lr: 1.8664e-04 eta: 1 day, 6:25:14 time: 0.6433 data_time: 0.0404 memory: 11852 grad_norm: 61.4416 loss: 15.0233 loss_cls: 1.1017 loss_bbox: 1.4007 d0.loss_cls: 1.0505 d0.loss_bbox: 1.4883 d1.loss_cls: 1.0916 d1.loss_bbox: 1.4114 d2.loss_cls: 1.0777 d2.loss_bbox: 1.3647 d3.loss_cls: 1.0952 d3.loss_bbox: 1.4244 d4.loss_cls: 1.0877 d4.loss_bbox: 1.4293 +10/12 10:17:43 - mmengine - INFO - Epoch(train) [1][ 500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:22:05 time: 0.6412 data_time: 0.0398 memory: 11852 grad_norm: 56.4332 loss: 14.4819 loss_cls: 1.0865 loss_bbox: 1.3372 d0.loss_cls: 1.0169 d0.loss_bbox: 1.3932 d1.loss_cls: 1.0766 d1.loss_bbox: 1.3841 d2.loss_cls: 1.0604 d2.loss_bbox: 1.3346 d3.loss_cls: 1.0685 d3.loss_bbox: 1.3500 d4.loss_cls: 1.0616 d4.loss_bbox: 1.3122 +10/12 10:18:15 - mmengine - INFO - Epoch(train) [1][ 550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:18:28 time: 0.6376 data_time: 0.0371 memory: 11852 grad_norm: 63.9434 loss: 14.6307 loss_cls: 1.0665 loss_bbox: 1.3471 d0.loss_cls: 1.0254 d0.loss_bbox: 1.4174 d1.loss_cls: 1.0709 d1.loss_bbox: 1.3722 d2.loss_cls: 1.0620 d2.loss_bbox: 1.3440 d3.loss_cls: 1.0767 d3.loss_bbox: 1.4006 d4.loss_cls: 1.0714 d4.loss_bbox: 1.3765 +10/12 10:18:48 - mmengine - INFO - Epoch(train) [1][ 600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:18:37 time: 0.6515 data_time: 0.0377 memory: 11852 grad_norm: 61.3664 loss: 16.5886 loss_cls: 1.2128 loss_bbox: 1.5378 d0.loss_cls: 1.1852 d0.loss_bbox: 1.6236 d1.loss_cls: 1.2176 d1.loss_bbox: 1.5942 d2.loss_cls: 1.1824 d2.loss_bbox: 1.5405 d3.loss_cls: 1.2076 d3.loss_bbox: 1.5350 d4.loss_cls: 1.2021 d4.loss_bbox: 1.5496 +10/12 10:19:19 - mmengine - INFO - Epoch(train) [1][ 650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:15:17 time: 0.6358 data_time: 0.0374 memory: 11852 grad_norm: 66.0795 loss: 14.3515 loss_cls: 1.0763 loss_bbox: 1.3136 d0.loss_cls: 1.0516 d0.loss_bbox: 1.3794 d1.loss_cls: 1.0800 d1.loss_bbox: 1.3492 d2.loss_cls: 1.0508 d2.loss_bbox: 1.2881 d3.loss_cls: 1.0706 d3.loss_bbox: 1.2986 d4.loss_cls: 1.0644 d4.loss_bbox: 1.3289 +10/12 10:19:51 - mmengine - INFO - Epoch(train) [1][ 700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:13:24 time: 0.6410 data_time: 0.0374 memory: 11852 grad_norm: 51.2966 loss: 14.3276 loss_cls: 1.0701 loss_bbox: 1.3112 d0.loss_cls: 1.0291 d0.loss_bbox: 1.4017 d1.loss_cls: 1.0526 d1.loss_bbox: 1.3456 d2.loss_cls: 1.0625 d2.loss_bbox: 1.2975 d3.loss_cls: 1.0668 d3.loss_bbox: 1.3086 d4.loss_cls: 1.0686 d4.loss_bbox: 1.3133 +10/12 10:20:23 - mmengine - INFO - Epoch(train) [1][ 750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:10:52 time: 0.6367 data_time: 0.0373 memory: 11852 grad_norm: 55.9536 loss: 13.2671 loss_cls: 0.9976 loss_bbox: 1.2070 d0.loss_cls: 0.9484 d0.loss_bbox: 1.2744 d1.loss_cls: 0.9833 d1.loss_bbox: 1.2349 d2.loss_cls: 0.9898 d2.loss_bbox: 1.2335 d3.loss_cls: 1.0001 d3.loss_bbox: 1.1998 d4.loss_cls: 1.0040 d4.loss_bbox: 1.1943 +10/12 10:20:55 - mmengine - INFO - Epoch(train) [1][ 800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:08:51 time: 0.6381 data_time: 0.0376 memory: 11852 grad_norm: 53.7866 loss: 13.6436 loss_cls: 0.9806 loss_bbox: 1.2699 d0.loss_cls: 0.9602 d0.loss_bbox: 1.3519 d1.loss_cls: 0.9827 d1.loss_bbox: 1.2877 d2.loss_cls: 0.9798 d2.loss_bbox: 1.2714 d3.loss_cls: 0.9995 d3.loss_bbox: 1.2998 d4.loss_cls: 0.9855 d4.loss_bbox: 1.2747 +10/12 10:21:27 - mmengine - INFO - Epoch(train) [1][ 850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:06:31 time: 0.6351 data_time: 0.0368 memory: 11852 grad_norm: 58.1117 loss: 14.6481 loss_cls: 1.0805 loss_bbox: 1.3483 d0.loss_cls: 1.0408 d0.loss_bbox: 1.4450 d1.loss_cls: 1.0591 d1.loss_bbox: 1.3861 d2.loss_cls: 1.0634 d2.loss_bbox: 1.3727 d3.loss_cls: 1.0688 d3.loss_bbox: 1.3542 d4.loss_cls: 1.0694 d4.loss_bbox: 1.3599 +10/12 10:21:59 - mmengine - INFO - Epoch(train) [1][ 900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:04:00 time: 0.6327 data_time: 0.0366 memory: 11852 grad_norm: 46.4262 loss: 12.4191 loss_cls: 0.9230 loss_bbox: 1.1300 d0.loss_cls: 0.8873 d0.loss_bbox: 1.2227 d1.loss_cls: 0.8987 d1.loss_bbox: 1.1648 d2.loss_cls: 0.8981 d2.loss_bbox: 1.1501 d3.loss_cls: 0.9181 d3.loss_bbox: 1.1490 d4.loss_cls: 0.9316 d4.loss_bbox: 1.1460 +10/12 10:22:30 - mmengine - INFO - Epoch(train) [1][ 950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:02:06 time: 0.6354 data_time: 0.0370 memory: 11852 grad_norm: 46.8313 loss: 14.4364 loss_cls: 1.0677 loss_bbox: 1.3213 d0.loss_cls: 1.0205 d0.loss_bbox: 1.4108 d1.loss_cls: 1.0344 d1.loss_bbox: 1.3475 d2.loss_cls: 1.0401 d2.loss_bbox: 1.3647 d3.loss_cls: 1.0617 d3.loss_bbox: 1.3502 d4.loss_cls: 1.0728 d4.loss_bbox: 1.3447 +10/12 10:23:02 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231012_100956 +10/12 10:23:02 - mmengine - INFO - Epoch(train) [1][1000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:00:02 time: 0.6332 data_time: 0.0375 memory: 11852 grad_norm: 45.0802 loss: 14.4068 loss_cls: 1.0757 loss_bbox: 1.2931 d0.loss_cls: 1.0312 d0.loss_bbox: 1.4199 d1.loss_cls: 1.0356 d1.loss_bbox: 1.3400 d2.loss_cls: 1.0532 d2.loss_bbox: 1.3293 d3.loss_cls: 1.0850 d3.loss_bbox: 1.3473 d4.loss_cls: 1.0849 d4.loss_bbox: 1.3113 +10/12 10:23:34 - mmengine - INFO - Epoch(train) [1][1050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:58:10 time: 0.6337 data_time: 0.0372 memory: 11852 grad_norm: 46.7062 loss: 15.1794 loss_cls: 1.1086 loss_bbox: 1.4115 d0.loss_cls: 1.0409 d0.loss_bbox: 1.5440 d1.loss_cls: 1.0577 d1.loss_bbox: 1.4197 d2.loss_cls: 1.0739 d2.loss_bbox: 1.4254 d3.loss_cls: 1.1098 d3.loss_bbox: 1.4403 d4.loss_cls: 1.1032 d4.loss_bbox: 1.4443 +10/12 10:24:05 - mmengine - INFO - Epoch(train) [1][1100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:56:27 time: 0.6340 data_time: 0.0371 memory: 11852 grad_norm: 48.4879 loss: 13.2058 loss_cls: 0.9995 loss_bbox: 1.1973 d0.loss_cls: 0.9273 d0.loss_bbox: 1.3104 d1.loss_cls: 0.9615 d1.loss_bbox: 1.2232 d2.loss_cls: 0.9680 d2.loss_bbox: 1.2119 d3.loss_cls: 0.9897 d3.loss_bbox: 1.2147 d4.loss_cls: 0.9906 d4.loss_bbox: 1.2117 +10/12 10:24:37 - mmengine - INFO - Epoch(train) [1][1150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:55:03 time: 0.6356 data_time: 0.0365 memory: 11852 grad_norm: 48.3408 loss: 12.9413 loss_cls: 0.9393 loss_bbox: 1.2132 d0.loss_cls: 0.8967 d0.loss_bbox: 1.3317 d1.loss_cls: 0.9122 d1.loss_bbox: 1.2219 d2.loss_cls: 0.9275 d2.loss_bbox: 1.2073 d3.loss_cls: 0.9345 d3.loss_bbox: 1.2049 d4.loss_cls: 0.9395 d4.loss_bbox: 1.2125 +10/12 10:25:09 - mmengine - INFO - Epoch(train) [1][1200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:53:23 time: 0.6327 data_time: 0.0371 memory: 11852 grad_norm: 39.6636 loss: 15.2324 loss_cls: 1.1175 loss_bbox: 1.4110 d0.loss_cls: 1.0500 d0.loss_bbox: 1.5232 d1.loss_cls: 1.0701 d1.loss_bbox: 1.4485 d2.loss_cls: 1.0973 d2.loss_bbox: 1.4383 d3.loss_cls: 1.1029 d3.loss_bbox: 1.4380 d4.loss_cls: 1.1132 d4.loss_bbox: 1.4224 +10/12 10:25:40 - mmengine - INFO - Epoch(train) [1][1250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:51:53 time: 0.6335 data_time: 0.0367 memory: 11852 grad_norm: 46.6660 loss: 12.4815 loss_cls: 0.9353 loss_bbox: 1.1702 d0.loss_cls: 0.8914 d0.loss_bbox: 1.2323 d1.loss_cls: 0.8998 d1.loss_bbox: 1.1730 d2.loss_cls: 0.9131 d2.loss_bbox: 1.1466 d3.loss_cls: 0.9329 d3.loss_bbox: 1.1194 d4.loss_cls: 0.9367 d4.loss_bbox: 1.1307 +10/12 10:26:12 - mmengine - INFO - Epoch(train) [1][1300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:50:40 time: 0.6353 data_time: 0.0374 memory: 11852 grad_norm: 41.3834 loss: 14.0130 loss_cls: 1.0054 loss_bbox: 1.3179 d0.loss_cls: 0.9572 d0.loss_bbox: 1.4699 d1.loss_cls: 0.9537 d1.loss_bbox: 1.3606 d2.loss_cls: 0.9746 d2.loss_bbox: 1.3375 d3.loss_cls: 0.9919 d3.loss_bbox: 1.3204 d4.loss_cls: 0.9996 d4.loss_bbox: 1.3242 +10/12 10:26:44 - mmengine - INFO - Epoch(train) [1][1350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:49:14 time: 0.6328 data_time: 0.0374 memory: 11852 grad_norm: 41.4103 loss: 12.3304 loss_cls: 0.9014 loss_bbox: 1.1839 d0.loss_cls: 0.8650 d0.loss_bbox: 1.2481 d1.loss_cls: 0.8706 d1.loss_bbox: 1.1687 d2.loss_cls: 0.8705 d2.loss_bbox: 1.1413 d3.loss_cls: 0.8824 d3.loss_bbox: 1.1485 d4.loss_cls: 0.9054 d4.loss_bbox: 1.1447 +10/12 10:27:16 - mmengine - INFO - Epoch(train) [1][1400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:48:06 time: 0.6351 data_time: 0.0375 memory: 11852 grad_norm: 47.2192 loss: 13.6757 loss_cls: 1.0017 loss_bbox: 1.3027 d0.loss_cls: 0.9355 d0.loss_bbox: 1.4026 d1.loss_cls: 0.9488 d1.loss_bbox: 1.2802 d2.loss_cls: 0.9625 d2.loss_bbox: 1.2801 d3.loss_cls: 0.9772 d3.loss_bbox: 1.2965 d4.loss_cls: 0.9855 d4.loss_bbox: 1.3025 +10/12 10:27:47 - mmengine - INFO - Epoch(train) [1][1450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:46:57 time: 0.6346 data_time: 0.0375 memory: 11852 grad_norm: 46.5946 loss: 12.9778 loss_cls: 0.9340 loss_bbox: 1.2585 d0.loss_cls: 0.8755 d0.loss_bbox: 1.3400 d1.loss_cls: 0.8777 d1.loss_bbox: 1.2572 d2.loss_cls: 0.9016 d2.loss_bbox: 1.2379 d3.loss_cls: 0.9098 d3.loss_bbox: 1.2342 d4.loss_cls: 0.9121 d4.loss_bbox: 1.2391 +10/12 10:28:19 - mmengine - INFO - Epoch(train) [1][1500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:45:49 time: 0.6343 data_time: 0.0373 memory: 11852 grad_norm: 42.1016 loss: 13.7660 loss_cls: 0.9886 loss_bbox: 1.2880 d0.loss_cls: 0.9229 d0.loss_bbox: 1.4179 d1.loss_cls: 0.9571 d1.loss_bbox: 1.3206 d2.loss_cls: 0.9658 d2.loss_bbox: 1.3192 d3.loss_cls: 0.9906 d3.loss_bbox: 1.3248 d4.loss_cls: 0.9778 d4.loss_bbox: 1.2926 +10/12 10:28:51 - mmengine - INFO - Epoch(train) [1][1550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:44:49 time: 0.6352 data_time: 0.0372 memory: 11852 grad_norm: 40.1652 loss: 13.6719 loss_cls: 0.9754 loss_bbox: 1.2975 d0.loss_cls: 0.9158 d0.loss_bbox: 1.4438 d1.loss_cls: 0.9381 d1.loss_bbox: 1.3268 d2.loss_cls: 0.9475 d2.loss_bbox: 1.3104 d3.loss_cls: 0.9587 d3.loss_bbox: 1.2978 d4.loss_cls: 0.9677 d4.loss_bbox: 1.2925 +10/12 10:29:22 - mmengine - INFO - Epoch(train) [1][1600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:43:34 time: 0.6321 data_time: 0.0370 memory: 11852 grad_norm: 44.9646 loss: 13.1204 loss_cls: 0.9532 loss_bbox: 1.2512 d0.loss_cls: 0.9036 d0.loss_bbox: 1.3462 d1.loss_cls: 0.9167 d1.loss_bbox: 1.2591 d2.loss_cls: 0.9103 d2.loss_bbox: 1.2376 d3.loss_cls: 0.9326 d3.loss_bbox: 1.2345 d4.loss_cls: 0.9400 d4.loss_bbox: 1.2355 +10/12 10:29:54 - mmengine - INFO - Epoch(train) [1][1650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:42:26 time: 0.6331 data_time: 0.0365 memory: 11852 grad_norm: 40.8608 loss: 13.3885 loss_cls: 0.9979 loss_bbox: 1.2499 d0.loss_cls: 0.9545 d0.loss_bbox: 1.3222 d1.loss_cls: 0.9527 d1.loss_bbox: 1.2591 d2.loss_cls: 0.9827 d2.loss_bbox: 1.2361 d3.loss_cls: 0.9710 d3.loss_bbox: 1.2399 d4.loss_cls: 0.9816 d4.loss_bbox: 1.2409 +10/12 10:30:26 - mmengine - INFO - Epoch(train) [1][1700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:41:23 time: 0.6335 data_time: 0.0368 memory: 11852 grad_norm: 38.4640 loss: 12.7811 loss_cls: 0.9240 loss_bbox: 1.2092 d0.loss_cls: 0.8764 d0.loss_bbox: 1.3136 d1.loss_cls: 0.8953 d1.loss_bbox: 1.2589 d2.loss_cls: 0.8936 d2.loss_bbox: 1.2068 d3.loss_cls: 0.9137 d3.loss_bbox: 1.1959 d4.loss_cls: 0.9200 d4.loss_bbox: 1.1737 +10/12 10:30:58 - mmengine - INFO - Epoch(train) [1][1750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:40:26 time: 0.6344 data_time: 0.0376 memory: 11852 grad_norm: 39.4035 loss: 10.3318 loss_cls: 0.7820 loss_bbox: 0.9444 d0.loss_cls: 0.7402 d0.loss_bbox: 1.0273 d1.loss_cls: 0.7482 d1.loss_bbox: 0.9752 d2.loss_cls: 0.7610 d2.loss_bbox: 0.9401 d3.loss_cls: 0.7679 d3.loss_bbox: 0.9381 d4.loss_cls: 0.7698 d4.loss_bbox: 0.9376 +10/12 10:31:29 - mmengine - INFO - Epoch(train) [1][1800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:39:35 time: 0.6355 data_time: 0.0366 memory: 11852 grad_norm: 45.1727 loss: 12.0140 loss_cls: 0.8553 loss_bbox: 1.1327 d0.loss_cls: 0.8086 d0.loss_bbox: 1.2613 d1.loss_cls: 0.8113 d1.loss_bbox: 1.1703 d2.loss_cls: 0.8259 d2.loss_bbox: 1.1619 d3.loss_cls: 0.8451 d3.loss_bbox: 1.1514 d4.loss_cls: 0.8495 d4.loss_bbox: 1.1405 +10/12 10:32:01 - mmengine - INFO - Epoch(train) [1][1850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:38:35 time: 0.6331 data_time: 0.0366 memory: 11852 grad_norm: 41.5988 loss: 12.4830 loss_cls: 0.9083 loss_bbox: 1.1742 d0.loss_cls: 0.8451 d0.loss_bbox: 1.2925 d1.loss_cls: 0.8684 d1.loss_bbox: 1.2083 d2.loss_cls: 0.8819 d2.loss_bbox: 1.1817 d3.loss_cls: 0.8850 d3.loss_bbox: 1.1774 d4.loss_cls: 0.8926 d4.loss_bbox: 1.1677 +10/12 10:32:33 - mmengine - INFO - Epoch(train) [1][1900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:37:37 time: 0.6334 data_time: 0.0371 memory: 11852 grad_norm: 38.7908 loss: 11.5415 loss_cls: 0.8369 loss_bbox: 1.0835 d0.loss_cls: 0.7763 d0.loss_bbox: 1.1774 d1.loss_cls: 0.8157 d1.loss_bbox: 1.1106 d2.loss_cls: 0.8232 d2.loss_bbox: 1.0905 d3.loss_cls: 0.8264 d3.loss_bbox: 1.0775 d4.loss_cls: 0.8351 d4.loss_bbox: 1.0883 +10/12 10:33:04 - mmengine - INFO - Epoch(train) [1][1950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:36:39 time: 0.6329 data_time: 0.0367 memory: 11852 grad_norm: 38.4570 loss: 11.8371 loss_cls: 0.8444 loss_bbox: 1.1132 d0.loss_cls: 0.7877 d0.loss_bbox: 1.2475 d1.loss_cls: 0.8108 d1.loss_bbox: 1.1496 d2.loss_cls: 0.8214 d2.loss_bbox: 1.1326 d3.loss_cls: 0.8482 d3.loss_bbox: 1.1201 d4.loss_cls: 0.8443 d4.loss_bbox: 1.1171 +10/12 10:33:36 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231012_100956 +10/12 10:33:36 - mmengine - INFO - Epoch(train) [1][2000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:35:54 time: 0.6359 data_time: 0.0369 memory: 11852 grad_norm: 42.6887 loss: 12.8456 loss_cls: 0.9262 loss_bbox: 1.2139 d0.loss_cls: 0.8628 d0.loss_bbox: 1.3208 d1.loss_cls: 0.8889 d1.loss_bbox: 1.2350 d2.loss_cls: 0.9165 d2.loss_bbox: 1.2094 d3.loss_cls: 0.9268 d3.loss_bbox: 1.2175 d4.loss_cls: 0.9184 d4.loss_bbox: 1.2093 +10/12 10:34:08 - mmengine - INFO - Epoch(train) [1][2050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:35:12 time: 0.6362 data_time: 0.0370 memory: 11852 grad_norm: 38.3351 loss: 12.0144 loss_cls: 0.8734 loss_bbox: 1.1412 d0.loss_cls: 0.8010 d0.loss_bbox: 1.2307 d1.loss_cls: 0.8299 d1.loss_bbox: 1.1675 d2.loss_cls: 0.8514 d2.loss_bbox: 1.1301 d3.loss_cls: 0.8613 d3.loss_bbox: 1.1312 d4.loss_cls: 0.8691 d4.loss_bbox: 1.1277 +10/12 10:34:40 - mmengine - INFO - Epoch(train) [1][2100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:34:46 time: 0.6404 data_time: 0.0375 memory: 11852 grad_norm: 41.1946 loss: 13.0170 loss_cls: 0.9277 loss_bbox: 1.2309 d0.loss_cls: 0.8713 d0.loss_bbox: 1.3795 d1.loss_cls: 0.8827 d1.loss_bbox: 1.2761 d2.loss_cls: 0.8998 d2.loss_bbox: 1.2494 d3.loss_cls: 0.9188 d3.loss_bbox: 1.2324 d4.loss_cls: 0.9188 d4.loss_bbox: 1.2296 +10/12 10:35:12 - mmengine - INFO - Epoch(train) [1][2150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:33:56 time: 0.6341 data_time: 0.0368 memory: 11852 grad_norm: 38.7899 loss: 11.9783 loss_cls: 0.8513 loss_bbox: 1.1413 d0.loss_cls: 0.7950 d0.loss_bbox: 1.2515 d1.loss_cls: 0.8079 d1.loss_bbox: 1.1898 d2.loss_cls: 0.8247 d2.loss_bbox: 1.1618 d3.loss_cls: 0.8346 d3.loss_bbox: 1.1416 d4.loss_cls: 0.8387 d4.loss_bbox: 1.1400 +10/12 10:35:44 - mmengine - INFO - Epoch(train) [1][2200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:33:24 time: 0.6387 data_time: 0.0372 memory: 11852 grad_norm: 41.7579 loss: 10.5342 loss_cls: 0.7616 loss_bbox: 0.9916 d0.loss_cls: 0.7271 d0.loss_bbox: 1.0890 d1.loss_cls: 0.7260 d1.loss_bbox: 1.0314 d2.loss_cls: 0.7444 d2.loss_bbox: 0.9970 d3.loss_cls: 0.7364 d3.loss_bbox: 0.9929 d4.loss_cls: 0.7473 d4.loss_bbox: 0.9896 +10/12 10:36:15 - mmengine - INFO - Epoch(train) [1][2250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:32:41 time: 0.6358 data_time: 0.0374 memory: 11852 grad_norm: 40.2047 loss: 11.7080 loss_cls: 0.8267 loss_bbox: 1.1293 d0.loss_cls: 0.7761 d0.loss_bbox: 1.2424 d1.loss_cls: 0.7809 d1.loss_bbox: 1.1584 d2.loss_cls: 0.7954 d2.loss_bbox: 1.1244 d3.loss_cls: 0.8109 d3.loss_bbox: 1.1256 d4.loss_cls: 0.8060 d4.loss_bbox: 1.1318 +10/12 10:36:47 - mmengine - INFO - Epoch(train) [1][2300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:31:49 time: 0.6330 data_time: 0.0377 memory: 11852 grad_norm: 42.1603 loss: 10.9968 loss_cls: 0.7692 loss_bbox: 1.0629 d0.loss_cls: 0.7089 d0.loss_bbox: 1.1608 d1.loss_cls: 0.7354 d1.loss_bbox: 1.0962 d2.loss_cls: 0.7442 d2.loss_bbox: 1.0725 d3.loss_cls: 0.7541 d3.loss_bbox: 1.0679 d4.loss_cls: 0.7624 d4.loss_bbox: 1.0624 +10/12 10:37:19 - mmengine - INFO - Epoch(train) [1][2350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:30:59 time: 0.6335 data_time: 0.0370 memory: 11852 grad_norm: 38.1172 loss: 9.6174 loss_cls: 0.6670 loss_bbox: 0.9276 d0.loss_cls: 0.6366 d0.loss_bbox: 1.0322 d1.loss_cls: 0.6323 d1.loss_bbox: 0.9641 d2.loss_cls: 0.6514 d2.loss_bbox: 0.9279 d3.loss_cls: 0.6600 d3.loss_bbox: 0.9322 d4.loss_cls: 0.6620 d4.loss_bbox: 0.9241 +10/12 10:37:50 - mmengine - INFO - Epoch(train) [1][2400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:30:06 time: 0.6323 data_time: 0.0368 memory: 11852 grad_norm: 40.3350 loss: 11.9984 loss_cls: 0.8578 loss_bbox: 1.1329 d0.loss_cls: 0.7957 d0.loss_bbox: 1.2709 d1.loss_cls: 0.8069 d1.loss_bbox: 1.1976 d2.loss_cls: 0.8267 d2.loss_bbox: 1.1489 d3.loss_cls: 0.8335 d3.loss_bbox: 1.1485 d4.loss_cls: 0.8379 d4.loss_bbox: 1.1410 +10/12 10:38:22 - mmengine - INFO - Epoch(train) [1][2450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:29:20 time: 0.6341 data_time: 0.0370 memory: 11852 grad_norm: 43.2777 loss: 12.3596 loss_cls: 0.8990 loss_bbox: 1.1495 d0.loss_cls: 0.8507 d0.loss_bbox: 1.2632 d1.loss_cls: 0.8597 d1.loss_bbox: 1.1935 d2.loss_cls: 0.8676 d2.loss_bbox: 1.1835 d3.loss_cls: 0.8878 d3.loss_bbox: 1.1605 d4.loss_cls: 0.8908 d4.loss_bbox: 1.1538 +10/12 10:38:54 - mmengine - INFO - Epoch(train) [1][2500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:28:28 time: 0.6322 data_time: 0.0370 memory: 11852 grad_norm: 42.4473 loss: 12.0095 loss_cls: 0.8458 loss_bbox: 1.1759 d0.loss_cls: 0.7793 d0.loss_bbox: 1.2539 d1.loss_cls: 0.7988 d1.loss_bbox: 1.1876 d2.loss_cls: 0.8137 d2.loss_bbox: 1.1593 d3.loss_cls: 0.8246 d3.loss_bbox: 1.1631 d4.loss_cls: 0.8317 d4.loss_bbox: 1.1758 +10/12 10:39:25 - mmengine - INFO - Epoch(train) [1][2550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:27:34 time: 0.6313 data_time: 0.0372 memory: 11852 grad_norm: 39.1628 loss: 12.0313 loss_cls: 0.8503 loss_bbox: 1.1548 d0.loss_cls: 0.8108 d0.loss_bbox: 1.2800 d1.loss_cls: 0.8037 d1.loss_bbox: 1.1891 d2.loss_cls: 0.8083 d2.loss_bbox: 1.1728 d3.loss_cls: 0.8318 d3.loss_bbox: 1.1538 d4.loss_cls: 0.8272 d4.loss_bbox: 1.1486 +10/12 10:39:57 - mmengine - INFO - Epoch(train) [1][2600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:26:39 time: 0.6308 data_time: 0.0372 memory: 11852 grad_norm: 43.5565 loss: 11.8543 loss_cls: 0.8492 loss_bbox: 1.1125 d0.loss_cls: 0.7997 d0.loss_bbox: 1.2352 d1.loss_cls: 0.8245 d1.loss_bbox: 1.1494 d2.loss_cls: 0.8418 d2.loss_bbox: 1.1097 d3.loss_cls: 0.8461 d3.loss_bbox: 1.1236 d4.loss_cls: 0.8517 d4.loss_bbox: 1.1110 +10/12 10:40:28 - mmengine - INFO - Epoch(train) [1][2650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:25:51 time: 0.6328 data_time: 0.0377 memory: 11852 grad_norm: 45.0284 loss: 13.4162 loss_cls: 0.9703 loss_bbox: 1.2686 d0.loss_cls: 0.9080 d0.loss_bbox: 1.3868 d1.loss_cls: 0.9076 d1.loss_bbox: 1.3120 d2.loss_cls: 0.9379 d2.loss_bbox: 1.2625 d3.loss_cls: 0.9519 d3.loss_bbox: 1.2786 d4.loss_cls: 0.9427 d4.loss_bbox: 1.2895 +10/12 10:41:00 - mmengine - INFO - Epoch(train) [1][2700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:25:12 time: 0.6353 data_time: 0.0372 memory: 11852 grad_norm: 49.1645 loss: 11.1982 loss_cls: 0.8025 loss_bbox: 1.0571 d0.loss_cls: 0.7654 d0.loss_bbox: 1.1551 d1.loss_cls: 0.7641 d1.loss_bbox: 1.0957 d2.loss_cls: 0.7876 d2.loss_bbox: 1.0627 d3.loss_cls: 0.7981 d3.loss_bbox: 1.0529 d4.loss_cls: 0.8049 d4.loss_bbox: 1.0520 +10/12 10:41:32 - mmengine - INFO - Epoch(train) [1][2750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:24:20 time: 0.6310 data_time: 0.0365 memory: 11852 grad_norm: 41.3619 loss: 11.7709 loss_cls: 0.8559 loss_bbox: 1.1156 d0.loss_cls: 0.7914 d0.loss_bbox: 1.2249 d1.loss_cls: 0.8091 d1.loss_bbox: 1.1497 d2.loss_cls: 0.8273 d2.loss_bbox: 1.1153 d3.loss_cls: 0.8411 d3.loss_bbox: 1.0931 d4.loss_cls: 0.8435 d4.loss_bbox: 1.1040 +10/12 10:42:03 - mmengine - INFO - Epoch(train) [1][2800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:23:34 time: 0.6328 data_time: 0.0375 memory: 11852 grad_norm: 39.8842 loss: 11.2952 loss_cls: 0.8013 loss_bbox: 1.0651 d0.loss_cls: 0.7483 d0.loss_bbox: 1.1742 d1.loss_cls: 0.7726 d1.loss_bbox: 1.1098 d2.loss_cls: 0.7830 d2.loss_bbox: 1.0918 d3.loss_cls: 0.7963 d3.loss_bbox: 1.0765 d4.loss_cls: 0.8035 d4.loss_bbox: 1.0729 +10/12 10:42:35 - mmengine - INFO - Epoch(train) [1][2850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:22:52 time: 0.6342 data_time: 0.0369 memory: 11852 grad_norm: 39.3654 loss: 11.7196 loss_cls: 0.8343 loss_bbox: 1.1155 d0.loss_cls: 0.7649 d0.loss_bbox: 1.2305 d1.loss_cls: 0.7865 d1.loss_bbox: 1.1620 d2.loss_cls: 0.8037 d2.loss_bbox: 1.1365 d3.loss_cls: 0.8171 d3.loss_bbox: 1.1250 d4.loss_cls: 0.8230 d4.loss_bbox: 1.1207 +10/12 10:43:07 - mmengine - INFO - Epoch(train) [1][2900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:22:19 time: 0.6369 data_time: 0.0384 memory: 11852 grad_norm: 42.0836 loss: 11.7091 loss_cls: 0.8078 loss_bbox: 1.1424 d0.loss_cls: 0.7638 d0.loss_bbox: 1.2539 d1.loss_cls: 0.7845 d1.loss_bbox: 1.1686 d2.loss_cls: 0.7973 d2.loss_bbox: 1.1300 d3.loss_cls: 0.7960 d3.loss_bbox: 1.1301 d4.loss_cls: 0.7953 d4.loss_bbox: 1.1395 +10/12 10:43:39 - mmengine - INFO - Epoch(train) [1][2950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:21:44 time: 0.6363 data_time: 0.0383 memory: 11852 grad_norm: 42.7638 loss: 11.2219 loss_cls: 0.8010 loss_bbox: 1.0660 d0.loss_cls: 0.7303 d0.loss_bbox: 1.1910 d1.loss_cls: 0.7583 d1.loss_bbox: 1.1027 d2.loss_cls: 0.7760 d2.loss_bbox: 1.0807 d3.loss_cls: 0.7809 d3.loss_bbox: 1.0704 d4.loss_cls: 0.7961 d4.loss_bbox: 1.0686 +10/12 10:44:10 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231012_100956 +10/12 10:44:10 - mmengine - INFO - Epoch(train) [1][3000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:21:02 time: 0.6337 data_time: 0.0383 memory: 11852 grad_norm: 39.1431 loss: 11.1683 loss_cls: 0.7919 loss_bbox: 1.0667 d0.loss_cls: 0.7263 d0.loss_bbox: 1.1755 d1.loss_cls: 0.7539 d1.loss_bbox: 1.1110 d2.loss_cls: 0.7683 d2.loss_bbox: 1.0724 d3.loss_cls: 0.7784 d3.loss_bbox: 1.0645 d4.loss_cls: 0.7895 d4.loss_bbox: 1.0700 +10/12 10:44:45 - mmengine - INFO - Epoch(train) [1][3050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:22:56 time: 0.6908 data_time: 0.0388 memory: 11852 grad_norm: 42.2283 loss: 11.4269 loss_cls: 0.7930 loss_bbox: 1.1004 d0.loss_cls: 0.7450 d0.loss_bbox: 1.1994 d1.loss_cls: 0.7655 d1.loss_bbox: 1.1329 d2.loss_cls: 0.7844 d2.loss_bbox: 1.1176 d3.loss_cls: 0.7943 d3.loss_bbox: 1.1003 d4.loss_cls: 0.7874 d4.loss_bbox: 1.1066 +10/12 10:45:49 - mmengine - INFO - Epoch(train) [1][3100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 5:50:58 time: 1.2799 data_time: 0.0364 memory: 11852 grad_norm: 43.4399 loss: 11.3152 loss_cls: 0.7965 loss_bbox: 1.0689 d0.loss_cls: 0.7447 d0.loss_bbox: 1.2056 d1.loss_cls: 0.7725 d1.loss_bbox: 1.1055 d2.loss_cls: 0.7845 d2.loss_bbox: 1.0880 d3.loss_cls: 0.7930 d3.loss_bbox: 1.0778 d4.loss_cls: 0.7987 d4.loss_bbox: 1.0796 +10/12 10:46:53 - mmengine - INFO - Epoch(train) [1][3150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:18:20 time: 1.2851 data_time: 0.0367 memory: 11852 grad_norm: 41.2379 loss: 11.4428 loss_cls: 0.8160 loss_bbox: 1.0770 d0.loss_cls: 0.7561 d0.loss_bbox: 1.2323 d1.loss_cls: 0.7810 d1.loss_bbox: 1.1135 d2.loss_cls: 0.7985 d2.loss_bbox: 1.0876 d3.loss_cls: 0.7987 d3.loss_bbox: 1.0921 d4.loss_cls: 0.8118 d4.loss_bbox: 1.0784 +10/12 10:47:57 - mmengine - INFO - Epoch(train) [1][3200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 6:44:42 time: 1.2827 data_time: 0.0375 memory: 11852 grad_norm: 42.7172 loss: 10.3083 loss_cls: 0.7401 loss_bbox: 0.9755 d0.loss_cls: 0.6962 d0.loss_bbox: 1.0626 d1.loss_cls: 0.7207 d1.loss_bbox: 0.9913 d2.loss_cls: 0.7245 d2.loss_bbox: 0.9806 d3.loss_cls: 0.7267 d3.loss_bbox: 0.9732 d4.loss_cls: 0.7335 d4.loss_bbox: 0.9835 +10/12 10:49:01 - mmengine - INFO - Epoch(train) [1][3250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:10:02 time: 1.2785 data_time: 0.0377 memory: 11852 grad_norm: 38.4024 loss: 10.0851 loss_cls: 0.6952 loss_bbox: 0.9659 d0.loss_cls: 0.6460 d0.loss_bbox: 1.1080 d1.loss_cls: 0.6646 d1.loss_bbox: 1.0191 d2.loss_cls: 0.6698 d2.loss_bbox: 0.9859 d3.loss_cls: 0.6858 d3.loss_bbox: 0.9749 d4.loss_cls: 0.6845 d4.loss_bbox: 0.9852 +10/12 10:49:51 - mmengine - INFO - Epoch(train) [1][3300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:22:36 time: 0.9921 data_time: 0.0388 memory: 11852 grad_norm: 43.2400 loss: 10.6400 loss_cls: 0.7815 loss_bbox: 0.9806 d0.loss_cls: 0.7408 d0.loss_bbox: 1.0828 d1.loss_cls: 0.7486 d1.loss_bbox: 1.0186 d2.loss_cls: 0.7579 d2.loss_bbox: 0.9957 d3.loss_cls: 0.7684 d3.loss_bbox: 0.9901 d4.loss_cls: 0.7793 d4.loss_bbox: 0.9958 +10/12 10:50:49 - mmengine - INFO - Epoch(train) [1][3350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 7:42:03 time: 1.1687 data_time: 0.0374 memory: 11852 grad_norm: 40.5778 loss: 11.1752 loss_cls: 0.8257 loss_bbox: 1.0413 d0.loss_cls: 0.7587 d0.loss_bbox: 1.1399 d1.loss_cls: 0.7838 d1.loss_bbox: 1.0679 d2.loss_cls: 0.8015 d2.loss_bbox: 1.0485 d3.loss_cls: 0.8063 d3.loss_bbox: 1.0367 d4.loss_cls: 0.8193 d4.loss_bbox: 1.0456 +10/12 10:51:48 - mmengine - INFO - Epoch(train) [1][3400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:01:02 time: 1.1723 data_time: 0.0368 memory: 11852 grad_norm: 38.5344 loss: 11.5497 loss_cls: 0.8032 loss_bbox: 1.1210 d0.loss_cls: 0.7832 d0.loss_bbox: 1.1997 d1.loss_cls: 0.7892 d1.loss_bbox: 1.1264 d2.loss_cls: 0.7933 d2.loss_bbox: 1.1094 d3.loss_cls: 0.7990 d3.loss_bbox: 1.1024 d4.loss_cls: 0.8042 d4.loss_bbox: 1.1186 +10/12 10:52:47 - mmengine - INFO - Epoch(train) [1][3450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:19:55 time: 1.1846 data_time: 0.0379 memory: 11852 grad_norm: 39.6849 loss: 10.5837 loss_cls: 0.7356 loss_bbox: 1.0133 d0.loss_cls: 0.7002 d0.loss_bbox: 1.1124 d1.loss_cls: 0.7107 d1.loss_bbox: 1.0530 d2.loss_cls: 0.7225 d2.loss_bbox: 1.0242 d3.loss_cls: 0.7230 d3.loss_bbox: 1.0223 d4.loss_cls: 0.7329 d4.loss_bbox: 1.0336 +10/12 10:53:49 - mmengine - INFO - Epoch(train) [1][3500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:40:06 time: 1.2317 data_time: 0.0369 memory: 11852 grad_norm: 41.9924 loss: 11.3198 loss_cls: 0.8038 loss_bbox: 1.0686 d0.loss_cls: 0.7678 d0.loss_bbox: 1.1794 d1.loss_cls: 0.7744 d1.loss_bbox: 1.1205 d2.loss_cls: 0.7869 d2.loss_bbox: 1.0818 d3.loss_cls: 0.7916 d3.loss_bbox: 1.0693 d4.loss_cls: 0.7872 d4.loss_bbox: 1.0886 +10/12 10:54:49 - mmengine - INFO - Epoch(train) [1][3550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 8:58:29 time: 1.2005 data_time: 0.0380 memory: 11852 grad_norm: 40.4390 loss: 10.6505 loss_cls: 0.7532 loss_bbox: 1.0336 d0.loss_cls: 0.7082 d0.loss_bbox: 1.1081 d1.loss_cls: 0.7245 d1.loss_bbox: 1.0379 d2.loss_cls: 0.7279 d2.loss_bbox: 1.0130 d3.loss_cls: 0.7491 d3.loss_bbox: 1.0141 d4.loss_cls: 0.7535 d4.loss_bbox: 1.0274 +10/12 10:55:47 - mmengine - INFO - Epoch(train) [1][3600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:14:55 time: 1.1637 data_time: 0.0390 memory: 11852 grad_norm: 41.2399 loss: 10.5189 loss_cls: 0.7458 loss_bbox: 1.0075 d0.loss_cls: 0.7028 d0.loss_bbox: 1.1015 d1.loss_cls: 0.7028 d1.loss_bbox: 1.0315 d2.loss_cls: 0.7314 d2.loss_bbox: 1.0094 d3.loss_cls: 0.7344 d3.loss_bbox: 1.0049 d4.loss_cls: 0.7315 d4.loss_bbox: 1.0155 +10/12 10:56:45 - mmengine - INFO - Epoch(train) [1][3650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:30:56 time: 1.1657 data_time: 0.0375 memory: 11852 grad_norm: 44.0224 loss: 11.4884 loss_cls: 0.8179 loss_bbox: 1.0975 d0.loss_cls: 0.7768 d0.loss_bbox: 1.2224 d1.loss_cls: 0.7802 d1.loss_bbox: 1.1233 d2.loss_cls: 0.7855 d2.loss_bbox: 1.0996 d3.loss_cls: 0.8023 d3.loss_bbox: 1.0871 d4.loss_cls: 0.8025 d4.loss_bbox: 1.0934 +10/12 10:57:43 - mmengine - INFO - Epoch(train) [1][3700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 9:46:18 time: 1.1600 data_time: 0.0372 memory: 11852 grad_norm: 42.2995 loss: 10.6192 loss_cls: 0.7501 loss_bbox: 1.0153 d0.loss_cls: 0.7142 d0.loss_bbox: 1.1020 d1.loss_cls: 0.7203 d1.loss_bbox: 1.0327 d2.loss_cls: 0.7407 d2.loss_bbox: 1.0167 d3.loss_cls: 0.7481 d3.loss_bbox: 1.0136 d4.loss_cls: 0.7539 d4.loss_bbox: 1.0115 +10/12 10:58:42 - mmengine - INFO - Epoch(train) [1][3750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:01:42 time: 1.1733 data_time: 0.0370 memory: 11852 grad_norm: 42.2621 loss: 10.2249 loss_cls: 0.7244 loss_bbox: 0.9782 d0.loss_cls: 0.6951 d0.loss_bbox: 1.0603 d1.loss_cls: 0.7119 d1.loss_bbox: 0.9897 d2.loss_cls: 0.7101 d2.loss_bbox: 0.9768 d3.loss_cls: 0.7135 d3.loss_bbox: 0.9769 d4.loss_cls: 0.7260 d4.loss_bbox: 0.9621 +10/12 10:59:40 - mmengine - INFO - Epoch(train) [1][3800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:16:00 time: 1.1547 data_time: 0.0369 memory: 11852 grad_norm: 40.2471 loss: 10.3787 loss_cls: 0.7387 loss_bbox: 0.9908 d0.loss_cls: 0.6888 d0.loss_bbox: 1.1009 d1.loss_cls: 0.6885 d1.loss_bbox: 1.0282 d2.loss_cls: 0.7067 d2.loss_bbox: 1.0089 d3.loss_cls: 0.7209 d3.loss_bbox: 0.9907 d4.loss_cls: 0.7314 d4.loss_bbox: 0.9842 +10/12 11:00:37 - mmengine - INFO - Epoch(train) [1][3850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:29:47 time: 1.1511 data_time: 0.0373 memory: 11852 grad_norm: 42.7933 loss: 11.9490 loss_cls: 0.8230 loss_bbox: 1.1583 d0.loss_cls: 0.7836 d0.loss_bbox: 1.2774 d1.loss_cls: 0.7961 d1.loss_bbox: 1.1907 d2.loss_cls: 0.8008 d2.loss_bbox: 1.1738 d3.loss_cls: 0.8122 d3.loss_bbox: 1.1571 d4.loss_cls: 0.8189 d4.loss_bbox: 1.1571 +10/12 11:01:35 - mmengine - INFO - Epoch(train) [1][3900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:43:25 time: 1.1577 data_time: 0.0375 memory: 11852 grad_norm: 46.0159 loss: 10.4731 loss_cls: 0.7335 loss_bbox: 1.0076 d0.loss_cls: 0.6997 d0.loss_bbox: 1.1050 d1.loss_cls: 0.7186 d1.loss_bbox: 1.0245 d2.loss_cls: 0.7165 d2.loss_bbox: 0.9995 d3.loss_cls: 0.7301 d3.loss_bbox: 1.0025 d4.loss_cls: 0.7280 d4.loss_bbox: 1.0075 +10/12 11:02:33 - mmengine - INFO - Epoch(train) [1][3950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 10:57:03 time: 1.1682 data_time: 0.0379 memory: 11852 grad_norm: 37.9237 loss: 11.4700 loss_cls: 0.8224 loss_bbox: 1.0971 d0.loss_cls: 0.7850 d0.loss_bbox: 1.1928 d1.loss_cls: 0.7841 d1.loss_bbox: 1.1004 d2.loss_cls: 0.8062 d2.loss_bbox: 1.0812 d3.loss_cls: 0.8158 d3.loss_bbox: 1.0821 d4.loss_cls: 0.8208 d4.loss_bbox: 1.0823 +10/12 11:03:32 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231012_100956 +10/12 11:03:32 - mmengine - INFO - Epoch(train) [1][4000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:10:30 time: 1.1737 data_time: 0.0385 memory: 11852 grad_norm: 42.6624 loss: 10.4850 loss_cls: 0.7265 loss_bbox: 1.0161 d0.loss_cls: 0.6781 d0.loss_bbox: 1.1275 d1.loss_cls: 0.6920 d1.loss_bbox: 1.0458 d2.loss_cls: 0.7003 d2.loss_bbox: 1.0281 d3.loss_cls: 0.7314 d3.loss_bbox: 1.0082 d4.loss_cls: 0.7241 d4.loss_bbox: 1.0069 +10/12 11:04:30 - mmengine - INFO - Epoch(train) [1][4050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:23:03 time: 1.1574 data_time: 0.0371 memory: 11852 grad_norm: 42.2228 loss: 10.6441 loss_cls: 0.7687 loss_bbox: 1.0099 d0.loss_cls: 0.7107 d0.loss_bbox: 1.0886 d1.loss_cls: 0.7362 d1.loss_bbox: 1.0267 d2.loss_cls: 0.7511 d2.loss_bbox: 1.0136 d3.loss_cls: 0.7585 d3.loss_bbox: 1.0036 d4.loss_cls: 0.7622 d4.loss_bbox: 1.0142 +10/12 11:05:28 - mmengine - INFO - Epoch(train) [1][4100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:35:16 time: 1.1575 data_time: 0.0374 memory: 11852 grad_norm: 38.8027 loss: 8.8661 loss_cls: 0.6349 loss_bbox: 0.8363 d0.loss_cls: 0.6046 d0.loss_bbox: 0.9150 d1.loss_cls: 0.6162 d1.loss_bbox: 0.8545 d2.loss_cls: 0.6233 d2.loss_bbox: 0.8432 d3.loss_cls: 0.6379 d3.loss_bbox: 0.8333 d4.loss_cls: 0.6338 d4.loss_bbox: 0.8332 +10/12 11:06:19 - mmengine - INFO - Epoch(train) [1][4150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:42:28 time: 1.0153 data_time: 0.0390 memory: 11852 grad_norm: 40.6273 loss: 10.6001 loss_cls: 0.7459 loss_bbox: 1.0125 d0.loss_cls: 0.7101 d0.loss_bbox: 1.1041 d1.loss_cls: 0.7326 d1.loss_bbox: 1.0261 d2.loss_cls: 0.7312 d2.loss_bbox: 1.0251 d3.loss_cls: 0.7460 d3.loss_bbox: 1.0131 d4.loss_cls: 0.7447 d4.loss_bbox: 1.0087 +10/12 11:06:51 - mmengine - INFO - Epoch(train) [1][4200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:37:10 time: 0.6381 data_time: 0.0417 memory: 11852 grad_norm: 38.1856 loss: 11.6242 loss_cls: 0.8141 loss_bbox: 1.1366 d0.loss_cls: 0.7714 d0.loss_bbox: 1.2238 d1.loss_cls: 0.7705 d1.loss_bbox: 1.1454 d2.loss_cls: 0.7839 d2.loss_bbox: 1.1313 d3.loss_cls: 0.8003 d3.loss_bbox: 1.1207 d4.loss_cls: 0.7949 d4.loss_bbox: 1.1314 +10/12 11:07:23 - mmengine - INFO - Epoch(train) [1][4250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:32:28 time: 0.6535 data_time: 0.0408 memory: 11852 grad_norm: 40.3403 loss: 11.3143 loss_cls: 0.7739 loss_bbox: 1.1108 d0.loss_cls: 0.7497 d0.loss_bbox: 1.1982 d1.loss_cls: 0.7568 d1.loss_bbox: 1.1181 d2.loss_cls: 0.7692 d2.loss_bbox: 1.0995 d3.loss_cls: 0.7685 d3.loss_bbox: 1.1002 d4.loss_cls: 0.7711 d4.loss_bbox: 1.0984 +10/12 11:07:55 - mmengine - INFO - Epoch(train) [1][4300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:27:23 time: 0.6386 data_time: 0.0410 memory: 11852 grad_norm: 39.3417 loss: 10.1395 loss_cls: 0.7356 loss_bbox: 0.9530 d0.loss_cls: 0.6870 d0.loss_bbox: 1.0606 d1.loss_cls: 0.6897 d1.loss_bbox: 0.9927 d2.loss_cls: 0.7092 d2.loss_bbox: 0.9591 d3.loss_cls: 0.7197 d3.loss_bbox: 0.9551 d4.loss_cls: 0.7240 d4.loss_bbox: 0.9536 +10/12 11:08:28 - mmengine - INFO - Epoch(train) [1][4350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:22:41 time: 0.6474 data_time: 0.0408 memory: 11852 grad_norm: 43.7270 loss: 12.3331 loss_cls: 0.8651 loss_bbox: 1.2046 d0.loss_cls: 0.7957 d0.loss_bbox: 1.2882 d1.loss_cls: 0.8305 d1.loss_bbox: 1.2214 d2.loss_cls: 0.8386 d2.loss_bbox: 1.1960 d3.loss_cls: 0.8498 d3.loss_bbox: 1.1870 d4.loss_cls: 0.8592 d4.loss_bbox: 1.1970 +10/12 11:09:15 - mmengine - INFO - Epoch(train) [1][4400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:27:42 time: 0.9567 data_time: 0.0399 memory: 11852 grad_norm: 41.3526 loss: 10.5500 loss_cls: 0.7581 loss_bbox: 0.9908 d0.loss_cls: 0.7140 d0.loss_bbox: 1.0984 d1.loss_cls: 0.7348 d1.loss_bbox: 1.0164 d2.loss_cls: 0.7344 d2.loss_bbox: 1.0077 d3.loss_cls: 0.7459 d3.loss_bbox: 0.9924 d4.loss_cls: 0.7551 d4.loss_bbox: 1.0020 +10/12 11:10:15 - mmengine - INFO - Epoch(train) [1][4450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:39:36 time: 1.1842 data_time: 0.0365 memory: 11852 grad_norm: 46.6155 loss: 11.7867 loss_cls: 0.8589 loss_bbox: 1.1206 d0.loss_cls: 0.8008 d0.loss_bbox: 1.2245 d1.loss_cls: 0.8172 d1.loss_bbox: 1.1281 d2.loss_cls: 0.8170 d2.loss_bbox: 1.1129 d3.loss_cls: 0.8276 d3.loss_bbox: 1.1134 d4.loss_cls: 0.8519 d4.loss_bbox: 1.1137 +10/12 11:11:13 - mmengine - INFO - Epoch(train) [1][4500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:51:00 time: 1.1769 data_time: 0.0373 memory: 11852 grad_norm: 44.0655 loss: 11.0774 loss_cls: 0.7856 loss_bbox: 1.0597 d0.loss_cls: 0.7373 d0.loss_bbox: 1.1679 d1.loss_cls: 0.7417 d1.loss_bbox: 1.0889 d2.loss_cls: 0.7654 d2.loss_bbox: 1.0618 d3.loss_cls: 0.7694 d3.loss_bbox: 1.0643 d4.loss_cls: 0.7793 d4.loss_bbox: 1.0561 +10/12 11:12:13 - mmengine - INFO - Epoch(train) [1][4550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:02:26 time: 1.1878 data_time: 0.0369 memory: 11852 grad_norm: 39.1330 loss: 10.4744 loss_cls: 0.7454 loss_bbox: 0.9897 d0.loss_cls: 0.7120 d0.loss_bbox: 1.0995 d1.loss_cls: 0.7105 d1.loss_bbox: 1.0296 d2.loss_cls: 0.7212 d2.loss_bbox: 1.0078 d3.loss_cls: 0.7321 d3.loss_bbox: 0.9957 d4.loss_cls: 0.7371 d4.loss_bbox: 0.9936 +10/12 11:13:14 - mmengine - INFO - Epoch(train) [1][4600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:14:57 time: 1.2327 data_time: 0.0368 memory: 11852 grad_norm: 44.8742 loss: 10.7674 loss_cls: 0.7517 loss_bbox: 1.0231 d0.loss_cls: 0.7151 d0.loss_bbox: 1.1560 d1.loss_cls: 0.7336 d1.loss_bbox: 1.0689 d2.loss_cls: 0.7358 d2.loss_bbox: 1.0422 d3.loss_cls: 0.7410 d3.loss_bbox: 1.0353 d4.loss_cls: 0.7412 d4.loss_bbox: 1.0234 +10/12 11:14:15 - mmengine - INFO - Epoch(train) [1][4650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:26:24 time: 1.2064 data_time: 0.0373 memory: 11852 grad_norm: 43.3838 loss: 10.5312 loss_cls: 0.7322 loss_bbox: 1.0049 d0.loss_cls: 0.6991 d0.loss_bbox: 1.1056 d1.loss_cls: 0.7214 d1.loss_bbox: 1.0340 d2.loss_cls: 0.7351 d2.loss_bbox: 1.0178 d3.loss_cls: 0.7346 d3.loss_bbox: 1.0067 d4.loss_cls: 0.7364 d4.loss_bbox: 1.0033 +10/12 11:15:13 - mmengine - INFO - Epoch(train) [1][4700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:36:19 time: 1.1629 data_time: 0.0376 memory: 11852 grad_norm: 42.5796 loss: 12.6622 loss_cls: 0.8754 loss_bbox: 1.2414 d0.loss_cls: 0.8137 d0.loss_bbox: 1.3633 d1.loss_cls: 0.8210 d1.loss_bbox: 1.2750 d2.loss_cls: 0.8354 d2.loss_bbox: 1.2502 d3.loss_cls: 0.8412 d3.loss_bbox: 1.2458 d4.loss_cls: 0.8592 d4.loss_bbox: 1.2407 +10/12 11:16:13 - mmengine - INFO - Epoch(train) [1][4750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:47:20 time: 1.2092 data_time: 0.0374 memory: 11852 grad_norm: 41.3618 loss: 10.9838 loss_cls: 0.7850 loss_bbox: 1.0463 d0.loss_cls: 0.7339 d0.loss_bbox: 1.1522 d1.loss_cls: 0.7544 d1.loss_bbox: 1.0610 d2.loss_cls: 0.7680 d2.loss_bbox: 1.0490 d3.loss_cls: 0.7772 d3.loss_bbox: 1.0387 d4.loss_cls: 0.7755 d4.loss_bbox: 1.0427 +10/12 11:17:12 - mmengine - INFO - Epoch(train) [1][4800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:57:08 time: 1.1753 data_time: 0.0390 memory: 11852 grad_norm: 39.3291 loss: 11.2558 loss_cls: 0.7816 loss_bbox: 1.0905 d0.loss_cls: 0.7349 d0.loss_bbox: 1.2011 d1.loss_cls: 0.7522 d1.loss_bbox: 1.1181 d2.loss_cls: 0.7668 d2.loss_bbox: 1.0875 d3.loss_cls: 0.7765 d3.loss_bbox: 1.0844 d4.loss_cls: 0.7725 d4.loss_bbox: 1.0897 +10/12 11:18:11 - mmengine - INFO - Epoch(train) [1][4850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:06:48 time: 1.1785 data_time: 0.0393 memory: 11852 grad_norm: 43.4251 loss: 11.6073 loss_cls: 0.8213 loss_bbox: 1.1060 d0.loss_cls: 0.7890 d0.loss_bbox: 1.2225 d1.loss_cls: 0.7819 d1.loss_bbox: 1.1382 d2.loss_cls: 0.7846 d2.loss_bbox: 1.1233 d3.loss_cls: 0.8111 d3.loss_bbox: 1.1086 d4.loss_cls: 0.8095 d4.loss_bbox: 1.1113 +10/12 11:19:10 - mmengine - INFO - Epoch(train) [1][4900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:16:01 time: 1.1696 data_time: 0.0374 memory: 11852 grad_norm: 39.8822 loss: 9.7821 loss_cls: 0.7185 loss_bbox: 0.9002 d0.loss_cls: 0.6702 d0.loss_bbox: 1.0088 d1.loss_cls: 0.6945 d1.loss_bbox: 0.9377 d2.loss_cls: 0.7039 d2.loss_bbox: 0.9138 d3.loss_cls: 0.7126 d3.loss_bbox: 0.8967 d4.loss_cls: 0.7106 d4.loss_bbox: 0.9148 +10/12 11:20:08 - mmengine - INFO - Epoch(train) [1][4950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:24:56 time: 1.1667 data_time: 0.0380 memory: 11852 grad_norm: 42.4985 loss: 11.2475 loss_cls: 0.8128 loss_bbox: 1.0679 d0.loss_cls: 0.7547 d0.loss_bbox: 1.1761 d1.loss_cls: 0.7594 d1.loss_bbox: 1.1024 d2.loss_cls: 0.7809 d2.loss_bbox: 1.0831 d3.loss_cls: 0.7867 d3.loss_bbox: 1.0683 d4.loss_cls: 0.7954 d4.loss_bbox: 1.0598 +10/12 11:21:07 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231012_100956 +10/12 11:21:07 - mmengine - INFO - Epoch(train) [1][5000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:33:54 time: 1.1760 data_time: 0.0373 memory: 11852 grad_norm: 42.6581 loss: 11.1250 loss_cls: 0.8093 loss_bbox: 1.0504 d0.loss_cls: 0.7487 d0.loss_bbox: 1.1476 d1.loss_cls: 0.7710 d1.loss_bbox: 1.0713 d2.loss_cls: 0.7723 d2.loss_bbox: 1.0596 d3.loss_cls: 0.7916 d3.loss_bbox: 1.0525 d4.loss_cls: 0.7921 d4.loss_bbox: 1.0587 +10/12 11:22:06 - mmengine - INFO - Epoch(train) [1][5050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:42:59 time: 1.1873 data_time: 0.0391 memory: 11852 grad_norm: 44.8855 loss: 10.7820 loss_cls: 0.7928 loss_bbox: 1.0045 d0.loss_cls: 0.7364 d0.loss_bbox: 1.1071 d1.loss_cls: 0.7584 d1.loss_bbox: 1.0264 d2.loss_cls: 0.7699 d2.loss_bbox: 1.0065 d3.loss_cls: 0.7806 d3.loss_bbox: 1.0122 d4.loss_cls: 0.7886 d4.loss_bbox: 0.9985 +10/12 11:23:03 - mmengine - INFO - Epoch(train) [1][5100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:50:38 time: 1.1408 data_time: 0.0374 memory: 11852 grad_norm: 42.9864 loss: 9.2653 loss_cls: 0.6699 loss_bbox: 0.8692 d0.loss_cls: 0.6191 d0.loss_bbox: 0.9795 d1.loss_cls: 0.6260 d1.loss_bbox: 0.9174 d2.loss_cls: 0.6315 d2.loss_bbox: 0.8971 d3.loss_cls: 0.6492 d3.loss_bbox: 0.8761 d4.loss_cls: 0.6615 d4.loss_bbox: 0.8687 +10/12 11:24:01 - mmengine - INFO - Epoch(train) [1][5150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:58:45 time: 1.1651 data_time: 0.0375 memory: 11852 grad_norm: 45.0011 loss: 10.8465 loss_cls: 0.7944 loss_bbox: 1.0037 d0.loss_cls: 0.7550 d0.loss_bbox: 1.1153 d1.loss_cls: 0.7525 d1.loss_bbox: 1.0455 d2.loss_cls: 0.7637 d2.loss_bbox: 1.0256 d3.loss_cls: 0.7703 d3.loss_bbox: 1.0287 d4.loss_cls: 0.7795 d4.loss_bbox: 1.0122 +10/12 11:25:01 - mmengine - INFO - Epoch(train) [1][5200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 14:07:28 time: 1.1941 data_time: 0.0374 memory: 11852 grad_norm: 40.8234 loss: 11.0195 loss_cls: 0.7796 loss_bbox: 1.0269 d0.loss_cls: 0.7530 d0.loss_bbox: 1.1596 d1.loss_cls: 0.7613 d1.loss_bbox: 1.0793 d2.loss_cls: 0.7558 d2.loss_bbox: 1.0726 d3.loss_cls: 0.7716 d3.loss_bbox: 1.0457 d4.loss_cls: 0.7829 d4.loss_bbox: 1.0312 +10/12 11:25:43 - mmengine - INFO - Epoch(train) [1][5250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 14:06:56 time: 0.8458 data_time: 0.0398 memory: 11852 grad_norm: 49.1072 loss: 9.7745 loss_cls: 0.7312 loss_bbox: 0.9069 d0.loss_cls: 0.6702 d0.loss_bbox: 1.0001 d1.loss_cls: 0.6981 d1.loss_bbox: 0.9138 d2.loss_cls: 0.7156 d2.loss_bbox: 0.9001 d3.loss_cls: 0.7260 d3.loss_bbox: 0.8923 d4.loss_cls: 0.7188 d4.loss_bbox: 0.9013 +10/12 11:26:15 - mmengine - INFO - Epoch(train) [1][5300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 14:01:07 time: 0.6401 data_time: 0.0417 memory: 11852 grad_norm: 40.9309 loss: 9.6466 loss_cls: 0.7032 loss_bbox: 0.8925 d0.loss_cls: 0.6545 d0.loss_bbox: 1.0126 d1.loss_cls: 0.6607 d1.loss_bbox: 0.9308 d2.loss_cls: 0.6769 d2.loss_bbox: 0.9183 d3.loss_cls: 0.6889 d3.loss_bbox: 0.9068 d4.loss_cls: 0.6985 d4.loss_bbox: 0.9029 +10/12 11:26:47 - mmengine - INFO - Epoch(train) [1][5350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:55:23 time: 0.6388 data_time: 0.0415 memory: 11852 grad_norm: 52.2540 loss: 10.0346 loss_cls: 0.7393 loss_bbox: 0.9282 d0.loss_cls: 0.6894 d0.loss_bbox: 1.0325 d1.loss_cls: 0.7115 d1.loss_bbox: 0.9615 d2.loss_cls: 0.7131 d2.loss_bbox: 0.9490 d3.loss_cls: 0.7246 d3.loss_bbox: 0.9274 d4.loss_cls: 0.7329 d4.loss_bbox: 0.9251 +10/12 11:27:19 - mmengine - INFO - Epoch(train) [1][5400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:49:43 time: 0.6384 data_time: 0.0428 memory: 11852 grad_norm: 39.3364 loss: 11.5037 loss_cls: 0.8155 loss_bbox: 1.1022 d0.loss_cls: 0.7614 d0.loss_bbox: 1.2026 d1.loss_cls: 0.7788 d1.loss_bbox: 1.1305 d2.loss_cls: 0.7980 d2.loss_bbox: 1.1091 d3.loss_cls: 0.8069 d3.loss_bbox: 1.0905 d4.loss_cls: 0.8157 d4.loss_bbox: 1.0928 +10/12 11:27:51 - mmengine - INFO - Epoch(train) [1][5450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:44:10 time: 0.6388 data_time: 0.0418 memory: 11852 grad_norm: 41.5961 loss: 10.5555 loss_cls: 0.7672 loss_bbox: 0.9994 d0.loss_cls: 0.7027 d0.loss_bbox: 1.1087 d1.loss_cls: 0.7244 d1.loss_bbox: 1.0155 d2.loss_cls: 0.7428 d2.loss_bbox: 1.0032 d3.loss_cls: 0.7509 d3.loss_bbox: 0.9936 d4.loss_cls: 0.7566 d4.loss_bbox: 0.9905 +10/12 11:28:23 - mmengine - INFO - Epoch(train) [1][5500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:38:39 time: 0.6370 data_time: 0.0416 memory: 11852 grad_norm: 39.6954 loss: 10.5456 loss_cls: 0.7586 loss_bbox: 0.9932 d0.loss_cls: 0.7080 d0.loss_bbox: 1.0940 d1.loss_cls: 0.7314 d1.loss_bbox: 1.0253 d2.loss_cls: 0.7396 d2.loss_bbox: 1.0128 d3.loss_cls: 0.7463 d3.loss_bbox: 0.9932 d4.loss_cls: 0.7482 d4.loss_bbox: 0.9950 +10/12 11:28:55 - mmengine - INFO - Epoch(train) [1][5550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:33:17 time: 0.6389 data_time: 0.0436 memory: 11852 grad_norm: 38.3409 loss: 10.4885 loss_cls: 0.7398 loss_bbox: 1.0076 d0.loss_cls: 0.6784 d0.loss_bbox: 1.1213 d1.loss_cls: 0.6905 d1.loss_bbox: 1.0394 d2.loss_cls: 0.7145 d2.loss_bbox: 1.0248 d3.loss_cls: 0.7280 d3.loss_bbox: 1.0062 d4.loss_cls: 0.7349 d4.loss_bbox: 1.0031 +10/12 11:29:27 - mmengine - INFO - Epoch(train) [1][5600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:27:58 time: 0.6377 data_time: 0.0447 memory: 11852 grad_norm: 39.2048 loss: 9.9975 loss_cls: 0.7214 loss_bbox: 0.9288 d0.loss_cls: 0.6546 d0.loss_bbox: 1.0573 d1.loss_cls: 0.6871 d1.loss_bbox: 0.9833 d2.loss_cls: 0.6980 d2.loss_bbox: 0.9669 d3.loss_cls: 0.6960 d3.loss_bbox: 0.9513 d4.loss_cls: 0.7156 d4.loss_bbox: 0.9372 +10/12 11:29:59 - mmengine - INFO - Epoch(train) [1][5650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:22:43 time: 0.6374 data_time: 0.0438 memory: 11852 grad_norm: 43.2749 loss: 11.5605 loss_cls: 0.8209 loss_bbox: 1.1052 d0.loss_cls: 0.7664 d0.loss_bbox: 1.2260 d1.loss_cls: 0.7759 d1.loss_bbox: 1.1373 d2.loss_cls: 0.7821 d2.loss_bbox: 1.1180 d3.loss_cls: 0.8031 d3.loss_bbox: 1.1084 d4.loss_cls: 0.8127 d4.loss_bbox: 1.1047 +10/12 11:30:31 - mmengine - INFO - Epoch(train) [1][5700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:17:39 time: 0.6409 data_time: 0.0433 memory: 11852 grad_norm: 43.6398 loss: 10.7957 loss_cls: 0.7878 loss_bbox: 0.9983 d0.loss_cls: 0.7621 d0.loss_bbox: 1.0915 d1.loss_cls: 0.7683 d1.loss_bbox: 1.0259 d2.loss_cls: 0.7866 d2.loss_bbox: 1.0053 d3.loss_cls: 0.7887 d3.loss_bbox: 0.9978 d4.loss_cls: 0.7868 d4.loss_bbox: 0.9965 +10/12 11:31:03 - mmengine - INFO - Epoch(train) [1][5750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:12:36 time: 0.6386 data_time: 0.0442 memory: 11852 grad_norm: 39.8055 loss: 11.0330 loss_cls: 0.7559 loss_bbox: 1.0747 d0.loss_cls: 0.7064 d0.loss_bbox: 1.2133 d1.loss_cls: 0.7170 d1.loss_bbox: 1.1205 d2.loss_cls: 0.7240 d2.loss_bbox: 1.0982 d3.loss_cls: 0.7318 d3.loss_bbox: 1.0775 d4.loss_cls: 0.7397 d4.loss_bbox: 1.0741 +10/12 11:31:35 - mmengine - INFO - Epoch(train) [1][5800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:07:39 time: 0.6396 data_time: 0.0441 memory: 11852 grad_norm: 45.5335 loss: 9.0222 loss_cls: 0.6412 loss_bbox: 0.8478 d0.loss_cls: 0.6069 d0.loss_bbox: 0.9697 d1.loss_cls: 0.6041 d1.loss_bbox: 0.9022 d2.loss_cls: 0.6289 d2.loss_bbox: 0.8570 d3.loss_cls: 0.6303 d3.loss_bbox: 0.8480 d4.loss_cls: 0.6400 d4.loss_bbox: 0.8463 +10/12 11:32:07 - mmengine - INFO - Epoch(train) [1][5850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 13:02:46 time: 0.6390 data_time: 0.0444 memory: 11852 grad_norm: 45.9444 loss: 8.8330 loss_cls: 0.6242 loss_bbox: 0.8479 d0.loss_cls: 0.5793 d0.loss_bbox: 0.9375 d1.loss_cls: 0.6000 d1.loss_bbox: 0.8764 d2.loss_cls: 0.6059 d2.loss_bbox: 0.8525 d3.loss_cls: 0.6105 d3.loss_bbox: 0.8457 d4.loss_cls: 0.6121 d4.loss_bbox: 0.8410 +10/12 11:32:39 - mmengine - INFO - Epoch(train) [1][5900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:57:58 time: 0.6398 data_time: 0.0436 memory: 11852 grad_norm: 41.0655 loss: 10.2810 loss_cls: 0.7310 loss_bbox: 0.9772 d0.loss_cls: 0.6741 d0.loss_bbox: 1.0842 d1.loss_cls: 0.7110 d1.loss_bbox: 0.9987 d2.loss_cls: 0.7168 d2.loss_bbox: 0.9845 d3.loss_cls: 0.7291 d3.loss_bbox: 0.9726 d4.loss_cls: 0.7264 d4.loss_bbox: 0.9755 +10/12 11:33:11 - mmengine - INFO - Epoch(train) [1][5950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:53:13 time: 0.6379 data_time: 0.0435 memory: 11852 grad_norm: 41.3149 loss: 9.1269 loss_cls: 0.6319 loss_bbox: 0.8855 d0.loss_cls: 0.5975 d0.loss_bbox: 0.9914 d1.loss_cls: 0.6099 d1.loss_bbox: 0.9026 d2.loss_cls: 0.6054 d2.loss_bbox: 0.8897 d3.loss_cls: 0.6174 d3.loss_bbox: 0.8860 d4.loss_cls: 0.6224 d4.loss_bbox: 0.8872 +10/12 11:33:43 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231012_100956 +10/12 11:33:43 - mmengine - INFO - Epoch(train) [1][6000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:48:34 time: 0.6402 data_time: 0.0442 memory: 11852 grad_norm: 39.1848 loss: 10.3039 loss_cls: 0.7228 loss_bbox: 0.9881 d0.loss_cls: 0.6744 d0.loss_bbox: 1.1033 d1.loss_cls: 0.6910 d1.loss_bbox: 1.0099 d2.loss_cls: 0.7133 d2.loss_bbox: 0.9867 d3.loss_cls: 0.7234 d3.loss_bbox: 0.9840 d4.loss_cls: 0.7190 d4.loss_bbox: 0.9879 +10/12 11:34:15 - mmengine - INFO - Epoch(train) [1][6050/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:43:59 time: 0.6399 data_time: 0.0441 memory: 11852 grad_norm: 39.4473 loss: 9.8245 loss_cls: 0.7083 loss_bbox: 0.9165 d0.loss_cls: 0.6660 d0.loss_bbox: 1.0305 d1.loss_cls: 0.6685 d1.loss_bbox: 0.9649 d2.loss_cls: 0.6859 d2.loss_bbox: 0.9420 d3.loss_cls: 0.6945 d3.loss_bbox: 0.9284 d4.loss_cls: 0.6939 d4.loss_bbox: 0.9252 +10/12 11:34:47 - mmengine - INFO - Epoch(train) [1][6100/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:39:27 time: 0.6391 data_time: 0.0436 memory: 11852 grad_norm: 40.1905 loss: 10.4437 loss_cls: 0.7377 loss_bbox: 0.9975 d0.loss_cls: 0.6810 d0.loss_bbox: 1.1006 d1.loss_cls: 0.7065 d1.loss_bbox: 1.0370 d2.loss_cls: 0.7220 d2.loss_bbox: 1.0131 d3.loss_cls: 0.7248 d3.loss_bbox: 1.0011 d4.loss_cls: 0.7303 d4.loss_bbox: 0.9920 +10/12 11:35:19 - mmengine - INFO - Epoch(train) [1][6150/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:35:00 time: 0.6398 data_time: 0.0438 memory: 11852 grad_norm: 45.5610 loss: 11.4563 loss_cls: 0.8373 loss_bbox: 1.0682 d0.loss_cls: 0.7759 d0.loss_bbox: 1.1887 d1.loss_cls: 0.7872 d1.loss_bbox: 1.1006 d2.loss_cls: 0.8134 d2.loss_bbox: 1.0848 d3.loss_cls: 0.8252 d3.loss_bbox: 1.0708 d4.loss_cls: 0.8356 d4.loss_bbox: 1.0686 +10/12 11:35:50 - mmengine - INFO - Epoch(train) [1][6200/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:30:37 time: 0.6396 data_time: 0.0443 memory: 11852 grad_norm: 41.4986 loss: 10.4880 loss_cls: 0.7696 loss_bbox: 0.9684 d0.loss_cls: 0.6944 d0.loss_bbox: 1.1257 d1.loss_cls: 0.7177 d1.loss_bbox: 1.0228 d2.loss_cls: 0.7363 d2.loss_bbox: 1.0025 d3.loss_cls: 0.7430 d3.loss_bbox: 0.9806 d4.loss_cls: 0.7592 d4.loss_bbox: 0.9678 +10/12 11:36:22 - mmengine - INFO - Epoch(train) [1][6250/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:26:16 time: 0.6388 data_time: 0.0441 memory: 11852 grad_norm: 43.0073 loss: 10.1034 loss_cls: 0.7345 loss_bbox: 0.9554 d0.loss_cls: 0.6825 d0.loss_bbox: 1.0523 d1.loss_cls: 0.6942 d1.loss_bbox: 0.9772 d2.loss_cls: 0.7054 d2.loss_bbox: 0.9492 d3.loss_cls: 0.7120 d3.loss_bbox: 0.9540 d4.loss_cls: 0.7303 d4.loss_bbox: 0.9565 +10/12 11:36:54 - mmengine - INFO - Epoch(train) [1][6300/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:22:01 time: 0.6412 data_time: 0.0434 memory: 11852 grad_norm: 42.8087 loss: 9.0263 loss_cls: 0.6595 loss_bbox: 0.8445 d0.loss_cls: 0.6172 d0.loss_bbox: 0.9451 d1.loss_cls: 0.6294 d1.loss_bbox: 0.8651 d2.loss_cls: 0.6380 d2.loss_bbox: 0.8421 d3.loss_cls: 0.6450 d3.loss_bbox: 0.8460 d4.loss_cls: 0.6534 d4.loss_bbox: 0.8407 +10/12 11:37:26 - mmengine - INFO - Epoch(train) [1][6350/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:17:47 time: 0.6386 data_time: 0.0448 memory: 11852 grad_norm: 37.1718 loss: 10.7774 loss_cls: 0.7544 loss_bbox: 1.0386 d0.loss_cls: 0.6875 d0.loss_bbox: 1.1640 d1.loss_cls: 0.7129 d1.loss_bbox: 1.0765 d2.loss_cls: 0.7266 d2.loss_bbox: 1.0478 d3.loss_cls: 0.7436 d3.loss_bbox: 1.0364 d4.loss_cls: 0.7507 d4.loss_bbox: 1.0384 +10/12 11:37:59 - mmengine - INFO - Epoch(train) [1][6400/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:13:41 time: 0.6418 data_time: 0.0448 memory: 11852 grad_norm: 44.3764 loss: 10.0886 loss_cls: 0.7587 loss_bbox: 0.9246 d0.loss_cls: 0.6906 d0.loss_bbox: 1.0441 d1.loss_cls: 0.7051 d1.loss_bbox: 0.9625 d2.loss_cls: 0.7280 d2.loss_bbox: 0.9435 d3.loss_cls: 0.7360 d3.loss_bbox: 0.9239 d4.loss_cls: 0.7492 d4.loss_bbox: 0.9224 +10/12 11:38:31 - mmengine - INFO - Epoch(train) [1][6450/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:09:36 time: 0.6404 data_time: 0.0465 memory: 11852 grad_norm: 40.3054 loss: 9.5449 loss_cls: 0.7089 loss_bbox: 0.8757 d0.loss_cls: 0.6539 d0.loss_bbox: 0.9760 d1.loss_cls: 0.6803 d1.loss_bbox: 0.9081 d2.loss_cls: 0.6886 d2.loss_bbox: 0.8900 d3.loss_cls: 0.6909 d3.loss_bbox: 0.8891 d4.loss_cls: 0.7026 d4.loss_bbox: 0.8807 +10/12 11:39:03 - mmengine - INFO - Epoch(train) [1][6500/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:05:33 time: 0.6393 data_time: 0.0457 memory: 11852 grad_norm: 43.3691 loss: 10.3698 loss_cls: 0.7481 loss_bbox: 0.9756 d0.loss_cls: 0.7066 d0.loss_bbox: 1.0708 d1.loss_cls: 0.7147 d1.loss_bbox: 0.9889 d2.loss_cls: 0.7402 d2.loss_bbox: 0.9767 d3.loss_cls: 0.7494 d3.loss_bbox: 0.9701 d4.loss_cls: 0.7568 d4.loss_bbox: 0.9719 +10/12 11:39:35 - mmengine - INFO - Epoch(train) [1][6550/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 12:01:37 time: 0.6425 data_time: 0.0457 memory: 11852 grad_norm: 40.4982 loss: 9.9973 loss_cls: 0.7214 loss_bbox: 0.9406 d0.loss_cls: 0.6784 d0.loss_bbox: 1.0404 d1.loss_cls: 0.6859 d1.loss_bbox: 0.9641 d2.loss_cls: 0.6921 d2.loss_bbox: 0.9600 d3.loss_cls: 0.7082 d3.loss_bbox: 0.9500 d4.loss_cls: 0.7188 d4.loss_bbox: 0.9374 +10/12 11:40:07 - mmengine - INFO - Epoch(train) [1][6600/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:57:43 time: 0.6416 data_time: 0.0460 memory: 11852 grad_norm: 42.9133 loss: 10.2173 loss_cls: 0.7463 loss_bbox: 0.9594 d0.loss_cls: 0.6978 d0.loss_bbox: 1.0668 d1.loss_cls: 0.7120 d1.loss_bbox: 0.9839 d2.loss_cls: 0.7183 d2.loss_bbox: 0.9629 d3.loss_cls: 0.7378 d3.loss_bbox: 0.9481 d4.loss_cls: 0.7358 d4.loss_bbox: 0.9480 +10/12 11:40:39 - mmengine - INFO - Epoch(train) [1][6650/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:53:52 time: 0.6415 data_time: 0.0457 memory: 11852 grad_norm: 42.1081 loss: 10.2145 loss_cls: 0.7403 loss_bbox: 0.9488 d0.loss_cls: 0.6805 d0.loss_bbox: 1.0760 d1.loss_cls: 0.6954 d1.loss_bbox: 1.0094 d2.loss_cls: 0.7111 d2.loss_bbox: 0.9819 d3.loss_cls: 0.7302 d3.loss_bbox: 0.9607 d4.loss_cls: 0.7258 d4.loss_bbox: 0.9544 +10/12 11:41:11 - mmengine - INFO - Epoch(train) [1][6700/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:50:08 time: 0.6450 data_time: 0.0459 memory: 11852 grad_norm: 44.1139 loss: 10.9249 loss_cls: 0.7845 loss_bbox: 1.0216 d0.loss_cls: 0.7334 d0.loss_bbox: 1.1511 d1.loss_cls: 0.7611 d1.loss_bbox: 1.0595 d2.loss_cls: 0.7679 d2.loss_bbox: 1.0399 d3.loss_cls: 0.7757 d3.loss_bbox: 1.0228 d4.loss_cls: 0.7751 d4.loss_bbox: 1.0323 +10/12 11:41:43 - mmengine - INFO - Epoch(train) [1][6750/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:46:18 time: 0.6367 data_time: 0.0432 memory: 11852 grad_norm: 42.6068 loss: 9.1639 loss_cls: 0.6570 loss_bbox: 0.8634 d0.loss_cls: 0.6058 d0.loss_bbox: 0.9747 d1.loss_cls: 0.6225 d1.loss_bbox: 0.8946 d2.loss_cls: 0.6258 d2.loss_bbox: 0.8851 d3.loss_cls: 0.6427 d3.loss_bbox: 0.8712 d4.loss_cls: 0.6514 d4.loss_bbox: 0.8698 +10/12 11:42:15 - mmengine - INFO - Epoch(train) [1][6800/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:42:31 time: 0.6376 data_time: 0.0428 memory: 11852 grad_norm: 40.4478 loss: 11.2034 loss_cls: 0.8277 loss_bbox: 1.0343 d0.loss_cls: 0.7506 d0.loss_bbox: 1.1818 d1.loss_cls: 0.7789 d1.loss_bbox: 1.0788 d2.loss_cls: 0.7885 d2.loss_bbox: 1.0598 d3.loss_cls: 0.8103 d3.loss_bbox: 1.0373 d4.loss_cls: 0.8147 d4.loss_bbox: 1.0407 +10/12 11:42:47 - mmengine - INFO - Epoch(train) [1][6850/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:38:46 time: 0.6371 data_time: 0.0426 memory: 11852 grad_norm: 38.5232 loss: 10.0660 loss_cls: 0.7113 loss_bbox: 0.9610 d0.loss_cls: 0.6396 d0.loss_bbox: 1.0890 d1.loss_cls: 0.6634 d1.loss_bbox: 1.0098 d2.loss_cls: 0.6739 d2.loss_bbox: 0.9857 d3.loss_cls: 0.6931 d3.loss_bbox: 0.9689 d4.loss_cls: 0.7014 d4.loss_bbox: 0.9690 +10/12 11:43:18 - mmengine - INFO - Epoch(train) [1][6900/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:35:04 time: 0.6370 data_time: 0.0431 memory: 11852 grad_norm: 51.8089 loss: 10.3538 loss_cls: 0.7615 loss_bbox: 0.9631 d0.loss_cls: 0.6801 d0.loss_bbox: 1.1009 d1.loss_cls: 0.7050 d1.loss_bbox: 1.0104 d2.loss_cls: 0.7327 d2.loss_bbox: 0.9766 d3.loss_cls: 0.7362 d3.loss_bbox: 0.9725 d4.loss_cls: 0.7468 d4.loss_bbox: 0.9680 +10/12 11:43:50 - mmengine - INFO - Epoch(train) [1][6950/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:31:26 time: 0.6380 data_time: 0.0429 memory: 11852 grad_norm: 37.7334 loss: 9.7254 loss_cls: 0.7257 loss_bbox: 0.8985 d0.loss_cls: 0.6713 d0.loss_bbox: 1.0039 d1.loss_cls: 0.6808 d1.loss_bbox: 0.9272 d2.loss_cls: 0.7019 d2.loss_bbox: 0.8999 d3.loss_cls: 0.7118 d3.loss_bbox: 0.8932 d4.loss_cls: 0.7227 d4.loss_bbox: 0.8886 +10/12 11:44:22 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231012_100956 +10/12 11:44:22 - mmengine - INFO - Epoch(train) [1][7000/7033] base_lr: 2.0000e-04 lr: 2.0000e-04 eta: 1 day, 11:27:51 time: 0.6380 data_time: 0.0427 memory: 11852 grad_norm: 45.3450 loss: 10.6805 loss_cls: 0.7481 loss_bbox: 1.0115 d0.loss_cls: 0.7009 d0.loss_bbox: 1.1621 d1.loss_cls: 0.7072 d1.loss_bbox: 1.0728 d2.loss_cls: 0.7248 d2.loss_bbox: 1.0414 d3.loss_cls: 0.7358 d3.loss_bbox: 1.0207 d4.loss_cls: 0.7350 d4.loss_bbox: 1.0202 +10/12 11:44:43 - mmengine - INFO - Exp name: detr3d_r50_bert_gridmask_halfdata_decoder_20231012_100956 +10/12 11:44:43 - mmengine - INFO - Saving checkpoint at 1 epochs +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. +To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.) + return torch.floor_divide(self, other) +/home/xzt/mmdetection3d-1.1.0/projects/DETR3D/detr3d/nms_free_coder.py:70: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). + self.post_center_range = torch.tensor( +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... +To disable this warning, you can either: + - Avoid using `tokenizers` before the fork if possible + - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/mmcv/cnn/bricks/transformer.py:524: UserWarning: position encoding of key ismissing in MultiheadAttention. + warnings.warn(f'position encoding of key is' +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/nn/functional.py:3981: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. + warnings.warn( +/home/xzt/miniconda3/envs/detr/lib/python3.8/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. +To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.) + return torch.floor_divide(self, other) +/home/xzt/mmdetection3d-1.1.0/projects/DETR3D/detr3d/nms_free_coder.py:70: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). + self.post_center_range = torch.tensor( +10/12 11:45:08 - mmengine - INFO - Epoch(val) [1][ 50/3010] eta: 0:12:23 time: 0.2512 data_time: 0.0609 memory: 11852 +10/12 11:45:19 - mmengine - INFO - Epoch(val) [1][ 100/3010] eta: 0:11:27 time: 0.2211 data_time: 0.0332 memory: 4646 +10/12 11:45:30 - mmengine - INFO - Epoch(val) [1][ 150/3010] eta: 0:10:58 time: 0.2180 data_time: 0.0318 memory: 4646 +10/12 11:45:41 - mmengine - INFO - Epoch(val) [1][ 200/3010] eta: 0:10:38 time: 0.2191 data_time: 0.0320 memory: 4646 +10/12 11:45:52 - mmengine - INFO - Epoch(val) [1][ 250/3010] eta: 0:10:23 time: 0.2197 data_time: 0.0326 memory: 4646 +10/12 11:46:03 - mmengine - INFO - Epoch(val) [1][ 300/3010] eta: 0:10:08 time: 0.2177 data_time: 0.0316 memory: 4646 +10/12 11:46:14 - mmengine - INFO - Epoch(val) [1][ 350/3010] eta: 0:09:54 time: 0.2173 data_time: 0.0311 memory: 4646 +10/12 11:46:24 - mmengine - INFO - Epoch(val) [1][ 400/3010] eta: 0:09:41 time: 0.2174 data_time: 0.0312 memory: 4646 +10/12 11:46:36 - mmengine - INFO - Epoch(val) [1][ 450/3010] eta: 0:09:29 time: 0.2218 data_time: 0.0358 memory: 4646 +10/12 11:46:46 - mmengine - INFO - Epoch(val) [1][ 500/3010] eta: 0:09:17 time: 0.2169 data_time: 0.0311 memory: 4646 +10/12 11:46:57 - mmengine - INFO - Epoch(val) [1][ 550/3010] eta: 0:09:04 time: 0.2167 data_time: 0.0315 memory: 4646 +10/12 11:47:08 - mmengine - INFO - Epoch(val) [1][ 600/3010] eta: 0:08:52 time: 0.2170 data_time: 0.0314 memory: 4646 +10/12 11:47:19 - mmengine - INFO - Epoch(val) [1][ 650/3010] eta: 0:08:41 time: 0.2180 data_time: 0.0317 memory: 4646 +10/12 11:47:30 - mmengine - INFO - Epoch(val) [1][ 700/3010] eta: 0:08:29 time: 0.2188 data_time: 0.0328 memory: 4646 +10/12 11:47:41 - mmengine - INFO - Epoch(val) [1][ 750/3010] eta: 0:08:18 time: 0.2181 data_time: 0.0317 memory: 4646 +10/12 11:47:52 - mmengine - INFO - Epoch(val) [1][ 800/3010] eta: 0:08:08 time: 0.2246 data_time: 0.0370 memory: 4646 +10/12 11:48:03 - mmengine - INFO - Epoch(val) [1][ 850/3010] eta: 0:07:57 time: 0.2211 data_time: 0.0327 memory: 4646 +10/12 11:48:14 - mmengine - INFO - Epoch(val) [1][ 900/3010] eta: 0:07:45 time: 0.2177 data_time: 0.0314 memory: 4646 +10/12 11:48:25 - mmengine - INFO - Epoch(val) [1][ 950/3010] eta: 0:07:34 time: 0.2176 data_time: 0.0310 memory: 4646 +10/12 11:48:36 - mmengine - INFO - Epoch(val) [1][1000/3010] eta: 0:07:23 time: 0.2195 data_time: 0.0324 memory: 4646 +10/12 11:48:47 - mmengine - INFO - Epoch(val) [1][1050/3010] eta: 0:07:11 time: 0.2167 data_time: 0.0312 memory: 4646 +10/12 11:48:58 - mmengine - INFO - Epoch(val) [1][1100/3010] eta: 0:07:00 time: 0.2172 data_time: 0.0312 memory: 4646 +10/12 11:49:08 - mmengine - INFO - Epoch(val) [1][1150/3010] eta: 0:06:49 time: 0.2179 data_time: 0.0315 memory: 4646 +10/12 11:49:19 - mmengine - INFO - Epoch(val) [1][1200/3010] eta: 0:06:37 time: 0.2163 data_time: 0.0310 memory: 4646 +10/12 11:49:30 - mmengine - INFO - Epoch(val) [1][1250/3010] eta: 0:06:26 time: 0.2158 data_time: 0.0307 memory: 4646 +10/12 11:49:41 - mmengine - INFO - Epoch(val) [1][1300/3010] eta: 0:06:15 time: 0.2158 data_time: 0.0305 memory: 4646 +10/12 11:49:52 - mmengine - INFO - Epoch(val) [1][1350/3010] eta: 0:06:04 time: 0.2166 data_time: 0.0309 memory: 4646 +10/12 11:50:03 - mmengine - INFO - Epoch(val) [1][1400/3010] eta: 0:05:53 time: 0.2164 data_time: 0.0312 memory: 4646 +10/12 11:50:13 - mmengine - INFO - Epoch(val) [1][1450/3010] eta: 0:05:41 time: 0.2155 data_time: 0.0306 memory: 4646 +10/12 11:50:24 - mmengine - INFO - Epoch(val) [1][1500/3010] eta: 0:05:30 time: 0.2166 data_time: 0.0310 memory: 4646 +10/12 11:50:35 - mmengine - INFO - Epoch(val) [1][1550/3010] eta: 0:05:19 time: 0.2176 data_time: 0.0314 memory: 4646 +10/12 11:50:46 - mmengine - INFO - Epoch(val) [1][1600/3010] eta: 0:05:08 time: 0.2210 data_time: 0.0321 memory: 4646 +10/12 11:50:57 - mmengine - INFO - Epoch(val) [1][1650/3010] eta: 0:04:58 time: 0.2192 data_time: 0.0313 memory: 4646 +10/12 11:51:08 - mmengine - INFO - Epoch(val) [1][1700/3010] eta: 0:04:47 time: 0.2187 data_time: 0.0312 memory: 4646 +10/12 11:51:19 - mmengine - INFO - Epoch(val) [1][1750/3010] eta: 0:04:36 time: 0.2191 data_time: 0.0315 memory: 4646 +10/12 11:51:30 - mmengine - INFO - Epoch(val) [1][1800/3010] eta: 0:04:25 time: 0.2187 data_time: 0.0311 memory: 4646 +10/12 11:51:41 - mmengine - INFO - Epoch(val) [1][1850/3010] eta: 0:04:14 time: 0.2192 data_time: 0.0315 memory: 4646 +10/12 11:51:52 - mmengine - INFO - Epoch(val) [1][1900/3010] eta: 0:04:03 time: 0.2189 data_time: 0.0310 memory: 4646 +10/12 11:52:03 - mmengine - INFO - 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11:55:09 - mmengine - INFO - Epoch(val) [1][2800/3010] eta: 0:00:45 time: 0.2198 data_time: 0.0311 memory: 4646 +10/12 11:55:20 - mmengine - INFO - Epoch(val) [1][2850/3010] eta: 0:00:35 time: 0.2194 data_time: 0.0312 memory: 4646 +10/12 11:55:31 - mmengine - INFO - Epoch(val) [1][2900/3010] eta: 0:00:24 time: 0.2199 data_time: 0.0312 memory: 4646 +10/12 11:55:42 - mmengine - INFO - Epoch(val) [1][2950/3010] eta: 0:00:13 time: 0.2171 data_time: 0.0306 memory: 4646 +10/12 11:55:53 - mmengine - INFO - Epoch(val) [1][3000/3010] eta: 0:00:02 time: 0.2166 data_time: 0.0304 memory: 4646 + +Formating bboxes of pred_instances_3d +Start to convert detection format... +[ ] 0/6019, elapsed: 0s, ETA: [ ] 1/6019, 5.7 task/s, elapsed: 0s, ETA: 1064s [ ] 2/6019, 5.7 task/s, elapsed: 0s, ETA: 1052s [ ] 3/6019, 5.8 task/s, elapsed: 1s, ETA: 1042s [ ] 4/6019, 5.7 task/s, elapsed: 1s, ETA: 1048s [ ] 5/6019, 5.8 task/s, elapsed: 1s, ETA: 1044s [ ] 6/6019, 5.8 task/s, elapsed: 1s, ETA: 1040s [ ] 7/6019, 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] 3816/6019, 5.9 task/s, elapsed: 652s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3817/6019, 5.9 task/s, elapsed: 652s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3818/6019, 5.9 task/s, elapsed: 652s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3819/6019, 5.9 task/s, elapsed: 652s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3820/6019, 5.9 task/s, elapsed: 652s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3821/6019, 5.9 task/s, elapsed: 653s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3822/6019, 5.9 task/s, elapsed: 653s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3823/6019, 5.9 task/s, elapsed: 653s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3824/6019, 5.9 task/s, elapsed: 653s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3825/6019, 5.9 task/s, elapsed: 653s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3826/6019, 5.9 task/s, elapsed: 653s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3827/6019, 5.9 task/s, elapsed: 654s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3828/6019, 5.9 task/s, elapsed: 654s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3829/6019, 5.9 task/s, elapsed: 654s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3830/6019, 5.9 task/s, elapsed: 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] 3845/6019, 5.9 task/s, elapsed: 657s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3846/6019, 5.9 task/s, elapsed: 657s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3847/6019, 5.9 task/s, elapsed: 657s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3848/6019, 5.9 task/s, elapsed: 657s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3849/6019, 5.9 task/s, elapsed: 657s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3850/6019, 5.9 task/s, elapsed: 658s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3851/6019, 5.9 task/s, elapsed: 658s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.9 task/s, elapsed: 658s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.9 task/s, elapsed: 658s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.9 task/s, elapsed: 658s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.9 task/s, elapsed: 658s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.9 task/s, elapsed: 659s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.9 task/s, elapsed: 659s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3858/6019, 5.9 task/s, elapsed: 659s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3859/6019, 5.9 task/s, elapsed: 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] 3874/6019, 5.9 task/s, elapsed: 662s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3875/6019, 5.9 task/s, elapsed: 662s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3876/6019, 5.9 task/s, elapsed: 662s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3877/6019, 5.9 task/s, elapsed: 662s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3878/6019, 5.9 task/s, elapsed: 662s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3879/6019, 5.9 task/s, elapsed: 663s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3880/6019, 5.9 task/s, elapsed: 663s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.9 task/s, elapsed: 663s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.9 task/s, elapsed: 663s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3883/6019, 5.9 task/s, elapsed: 663s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3884/6019, 5.9 task/s, elapsed: 663s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3885/6019, 5.9 task/s, elapsed: 664s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3886/6019, 5.9 task/s, elapsed: 664s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3887/6019, 5.9 task/s, elapsed: 664s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3888/6019, 5.9 task/s, elapsed: 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] 5497/6019, 5.8 task/s, elapsed: 940s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5498/6019, 5.8 task/s, elapsed: 941s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5499/6019, 5.8 task/s, elapsed: 941s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5500/6019, 5.8 task/s, elapsed: 941s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5501/6019, 5.8 task/s, elapsed: 941s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5502/6019, 5.8 task/s, elapsed: 941s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5503/6019, 5.8 task/s, elapsed: 942s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5504/6019, 5.8 task/s, elapsed: 942s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5505/6019, 5.8 task/s, elapsed: 942s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5506/6019, 5.8 task/s, elapsed: 942s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5507/6019, 5.8 task/s, elapsed: 942s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5508/6019, 5.8 task/s, elapsed: 942s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5509/6019, 5.8 task/s, elapsed: 943s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5510/6019, 5.8 task/s, 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] 5537/6019, 5.8 task/s, elapsed: 948s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5538/6019, 5.8 task/s, elapsed: 948s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5539/6019, 5.8 task/s, elapsed: 948s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5540/6019, 5.8 task/s, elapsed: 948s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5541/6019, 5.8 task/s, elapsed: 948s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5542/6019, 5.8 task/s, elapsed: 948s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5543/6019, 5.8 task/s, elapsed: 949s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5544/6019, 5.8 task/s, elapsed: 949s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5545/6019, 5.8 task/s, elapsed: 949s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5546/6019, 5.8 task/s, elapsed: 949s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5547/6019, 5.8 task/s, elapsed: 949s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5548/6019, 5.8 task/s, elapsed: 949s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5549/6019, 5.8 task/s, elapsed: 950s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5550/6019, 5.8 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5629/6019, 5.8 task/s, elapsed: 964s, ETA: 67s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5630/6019, 5.8 task/s, elapsed: 964s, ETA: 67s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5631/6019, 5.8 task/s, elapsed: 964s, ETA: 66s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5632/6019, 5.8 task/s, elapsed: 964s, ETA: 66s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5633/6019, 5.8 task/s, elapsed: 964s, ETA: 66s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5634/6019, 5.8 task/s, elapsed: 964s, ETA: 66s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5635/6019, 5.8 task/s, elapsed: 965s, ETA: 66s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5636/6019, 5.8 task/s, elapsed: 965s, ETA: 66s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5637/6019, 5.8 task/s, elapsed: 965s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5638/6019, 5.8 task/s, elapsed: 965s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5639/6019, 5.8 task/s, elapsed: 965s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5640/6019, 5.8 task/s, elapsed: 966s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5641/6019, 5.8 task/s, elapsed: 966s, ETA: 65s 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[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5811/6019, 5.8 task/s, elapsed: 996s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5812/6019, 5.8 task/s, elapsed: 996s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5813/6019, 5.8 task/s, elapsed: 996s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5814/6019, 5.8 task/s, elapsed: 996s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5815/6019, 5.8 task/s, elapsed: 996s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5816/6019, 5.8 task/s, elapsed: 996s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5817/6019, 5.8 task/s, elapsed: 997s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5818/6019, 5.8 task/s, elapsed: 997s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5819/6019, 5.8 task/s, elapsed: 997s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5820/6019, 5.8 task/s, elapsed: 997s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5821/6019, 5.8 task/s, elapsed: 997s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5822/6019, 5.8 task/s, elapsed: 997s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5823/6019, 5.8 task/s, elapsed: 998s, ETA: 34s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.8 task/s, elapsed: 1000s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.8 task/s, elapsed: 1000s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.8 task/s, elapsed: 1000s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.8 task/s, elapsed: 1001s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.8 task/s, elapsed: 1001s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5842/6019, 5.8 task/s, elapsed: 1001s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5843/6019, 5.8 task/s, elapsed: 1001s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5844/6019, 5.8 task/s, elapsed: 1001s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5845/6019, 5.8 task/s, elapsed: 1002s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5846/6019, 5.8 task/s, elapsed: 1002s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5847/6019, 5.8 task/s, elapsed: 1002s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5848/6019, 5.8 task/s, elapsed: 1002s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5849/6019, 5.8 task/s, elapsed: 1002s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5850/6019, 5.8 task/s, elapsed: 1002s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5851/6019, 5.8 task/s, elapsed: 1003s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5852/6019, 5.8 task/s, elapsed: 1003s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5853/6019, 5.8 task/s, elapsed: 1003s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5854/6019, 5.8 task/s, elapsed: 1003s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.8 task/s, elapsed: 1003s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.8 task/s, elapsed: 1004s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5857/6019, 5.8 task/s, elapsed: 1004s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5858/6019, 5.8 task/s, elapsed: 1004s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5859/6019, 5.8 task/s, elapsed: 1004s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5860/6019, 5.8 task/s, elapsed: 1004s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5861/6019, 5.8 task/s, elapsed: 1004s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5862/6019, 5.8 task/s, elapsed: 1005s, ETA: 27s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.8 task/s, elapsed: 1014s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.8 task/s, elapsed: 1014s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.8 task/s, elapsed: 1014s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.8 task/s, elapsed: 1014s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.8 task/s, elapsed: 1015s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.8 task/s, elapsed: 1015s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.8 task/s, elapsed: 1015s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.8 task/s, elapsed: 1015s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.8 task/s, elapsed: 1015s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.8 task/s, elapsed: 1016s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.8 task/s, elapsed: 1017s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.8 task/s, elapsed: 1017s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.8 task/s, elapsed: 1017s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.8 task/s, elapsed: 1017s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.8 task/s, elapsed: 1017s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.8 task/s, elapsed: 1017s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.8 task/s, elapsed: 1018s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.8 task/s, elapsed: 1018s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.8 task/s, elapsed: 1018s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.8 task/s, elapsed: 1018s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.8 task/s, elapsed: 1018s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.8 task/s, elapsed: 1020s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.8 task/s, elapsed: 1020s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.8 task/s, elapsed: 1020s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.8 task/s, elapsed: 1020s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.8 task/s, elapsed: 1020s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.8 task/s, elapsed: 1020s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.8 task/s, elapsed: 1021s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.8 task/s, elapsed: 1021s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.8 task/s, elapsed: 1021s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.8 task/s, elapsed: 1021s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.8 task/s, elapsed: 1021s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.8 task/s, elapsed: 1021s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.8 task/s, elapsed: 1026s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.8 task/s, elapsed: 1026s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.8 task/s, elapsed: 1026s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.8 task/s, elapsed: 1026s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.8 task/s, elapsed: 1026s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.8 task/s, elapsed: 1026s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.8 task/s, elapsed: 1029s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.8 task/s, elapsed: 1030s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.8 task/s, elapsed: 1031s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.8 task/s, elapsed: 1031s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.8 task/s, elapsed: 1032s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.8 task/s, elapsed: 1032s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.8 task/s, elapsed: 1032s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.8 task/s, elapsed: 1032s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.8 task/s, elapsed: 1032s, ETA: 0s +Results writes to /tmp/tmpwydkhvw0/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 5.9 task/s, elapsed: 35s, ETA: 980s [> ] 209/6019, 5.9 task/s, elapsed: 35s, ETA: 979s [> ] 210/6019, 5.9 task/s, elapsed: 35s, ETA: 979s [> ] 211/6019, 5.9 task/s, elapsed: 36s, ETA: 979s [> ] 212/6019, 5.9 task/s, elapsed: 36s, ETA: 979s [> ] 213/6019, 5.9 task/s, elapsed: 36s, ETA: 979s [> ] 214/6019, 5.9 task/s, elapsed: 36s, ETA: 978s [> ] 215/6019, 5.9 task/s, elapsed: 36s, ETA: 978s [> ] 216/6019, 5.9 task/s, elapsed: 36s, ETA: 978s [> ] 217/6019, 5.9 task/s, elapsed: 37s, ETA: 978s [> ] 218/6019, 5.9 task/s, elapsed: 37s, ETA: 978s [> ] 219/6019, 5.9 task/s, elapsed: 37s, ETA: 977s [> ] 220/6019, 5.9 task/s, elapsed: 37s, ETA: 977s [> ] 221/6019, 5.9 task/s, elapsed: 37s, ETA: 977s [> ] 222/6019, 5.9 task/s, elapsed: 37s, ETA: 977s [> ] 223/6019, 5.9 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] 979/6019, 5.8 task/s, elapsed: 168s, ETA: 865s [>>>> ] 980/6019, 5.8 task/s, elapsed: 168s, ETA: 864s [>>>> ] 981/6019, 5.8 task/s, elapsed: 168s, ETA: 864s [>>>> ] 982/6019, 5.8 task/s, elapsed: 168s, ETA: 864s [>>>> ] 983/6019, 5.8 task/s, elapsed: 169s, ETA: 864s [>>>> ] 984/6019, 5.8 task/s, elapsed: 169s, ETA: 864s [>>>> ] 985/6019, 5.8 task/s, elapsed: 169s, ETA: 864s [>>>> ] 986/6019, 5.8 task/s, elapsed: 169s, ETA: 863s [>>>> ] 987/6019, 5.8 task/s, elapsed: 169s, ETA: 863s [>>>> ] 988/6019, 5.8 task/s, elapsed: 169s, ETA: 863s [>>>> ] 989/6019, 5.8 task/s, elapsed: 170s, ETA: 863s [>>>> ] 990/6019, 5.8 task/s, elapsed: 170s, ETA: 863s [>>>> ] 991/6019, 5.8 task/s, elapsed: 170s, ETA: 863s [>>>> ] 992/6019, 5.8 task/s, elapsed: 170s, ETA: 862s [>>>> ] 993/6019, 5.8 task/s, elapsed: 170s, ETA: 862s [>>>> ] 994/6019, 5.8 task/s, elapsed: 171s, ETA: 862s [>>>> ] 995/6019, 5.8 task/s, elapsed: 171s, ETA: 862s [>>>> ] 996/6019, 5.8 task/s, elapsed: 171s, ETA: 862s [>>>> ] 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] 1775/6019, 5.8 task/s, elapsed: 305s, ETA: 729s [>>>>>>> ] 1776/6019, 5.8 task/s, elapsed: 305s, ETA: 729s [>>>>>>> ] 1777/6019, 5.8 task/s, elapsed: 305s, ETA: 729s [>>>>>>> ] 1778/6019, 5.8 task/s, elapsed: 305s, ETA: 729s [>>>>>>> ] 1779/6019, 5.8 task/s, elapsed: 306s, ETA: 728s [>>>>>>> ] 1780/6019, 5.8 task/s, elapsed: 306s, ETA: 728s [>>>>>>> ] 1781/6019, 5.8 task/s, elapsed: 306s, ETA: 728s [>>>>>>> ] 1782/6019, 5.8 task/s, elapsed: 306s, ETA: 728s [>>>>>>> ] 1783/6019, 5.8 task/s, elapsed: 306s, ETA: 728s [>>>>>>>> ] 1784/6019, 5.8 task/s, elapsed: 307s, ETA: 728s [>>>>>>>> ] 1785/6019, 5.8 task/s, elapsed: 307s, ETA: 727s [>>>>>>>> ] 1786/6019, 5.8 task/s, elapsed: 307s, ETA: 727s [>>>>>>>> ] 1787/6019, 5.8 task/s, elapsed: 307s, ETA: 727s [>>>>>>>> ] 1788/6019, 5.8 task/s, elapsed: 307s, ETA: 727s [>>>>>>>> ] 1789/6019, 5.8 task/s, elapsed: 307s, ETA: 727s [>>>>>>>> ] 1790/6019, 5.8 task/s, elapsed: 308s, ETA: 727s [>>>>>>>> ] 1791/6019, 5.8 task/s, elapsed: 308s, ETA: 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] 4030/6019, 5.8 task/s, elapsed: 700s, ETA: 345s [>>>>>>>>>>>>>>>>>> ] 4031/6019, 5.8 task/s, elapsed: 700s, ETA: 345s [>>>>>>>>>>>>>>>>>> ] 4032/6019, 5.8 task/s, elapsed: 700s, ETA: 345s [>>>>>>>>>>>>>>>>>> ] 4033/6019, 5.8 task/s, elapsed: 700s, ETA: 345s [>>>>>>>>>>>>>>>>>> ] 4034/6019, 5.8 task/s, elapsed: 700s, ETA: 345s [>>>>>>>>>>>>>>>>>> ] 4035/6019, 5.8 task/s, elapsed: 701s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4036/6019, 5.8 task/s, elapsed: 701s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4037/6019, 5.8 task/s, elapsed: 701s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4038/6019, 5.8 task/s, elapsed: 701s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4039/6019, 5.8 task/s, elapsed: 701s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4040/6019, 5.8 task/s, elapsed: 702s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4041/6019, 5.8 task/s, elapsed: 702s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4042/6019, 5.8 task/s, elapsed: 702s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4043/6019, 5.8 task/s, elapsed: 702s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4044/6019, 5.8 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[>>>>>>>>>>>>>>>>>>>>> ] 4798/6019, 5.7 task/s, elapsed: 836s, ETA: 213s [>>>>>>>>>>>>>>>>>>>>> ] 4799/6019, 5.7 task/s, elapsed: 837s, ETA: 213s [>>>>>>>>>>>>>>>>>>>>> ] 4800/6019, 5.7 task/s, elapsed: 837s, ETA: 213s [>>>>>>>>>>>>>>>>>>>>> ] 4801/6019, 5.7 task/s, elapsed: 837s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4802/6019, 5.7 task/s, elapsed: 837s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4803/6019, 5.7 task/s, elapsed: 837s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4804/6019, 5.7 task/s, elapsed: 838s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4805/6019, 5.7 task/s, elapsed: 838s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4806/6019, 5.7 task/s, elapsed: 838s, ETA: 211s [>>>>>>>>>>>>>>>>>>>>> ] 4807/6019, 5.7 task/s, elapsed: 838s, ETA: 211s [>>>>>>>>>>>>>>>>>>>>> ] 4808/6019, 5.7 task/s, elapsed: 838s, ETA: 211s [>>>>>>>>>>>>>>>>>>>>> ] 4809/6019, 5.7 task/s, elapsed: 838s, ETA: 211s [>>>>>>>>>>>>>>>>>>>>> ] 4810/6019, 5.7 task/s, elapsed: 839s, ETA: 211s [>>>>>>>>>>>>>>>>>>>>> ] 4811/6019, 5.7 task/s, 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[>>>>>>>>>>>>>>>>>>>>> ] 4839/6019, 5.7 task/s, elapsed: 844s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4840/6019, 5.7 task/s, elapsed: 844s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4841/6019, 5.7 task/s, elapsed: 844s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4842/6019, 5.7 task/s, elapsed: 844s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4843/6019, 5.7 task/s, elapsed: 844s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4844/6019, 5.7 task/s, elapsed: 844s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4845/6019, 5.7 task/s, elapsed: 845s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4846/6019, 5.7 task/s, elapsed: 845s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4847/6019, 5.7 task/s, elapsed: 845s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4848/6019, 5.7 task/s, elapsed: 845s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4849/6019, 5.7 task/s, elapsed: 845s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4850/6019, 5.7 task/s, elapsed: 845s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4851/6019, 5.7 task/s, elapsed: 846s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4852/6019, 5.7 task/s, 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[>>>>>>>>>>>>>>>>>>>>> ] 4880/6019, 5.7 task/s, elapsed: 851s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4881/6019, 5.7 task/s, elapsed: 851s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4882/6019, 5.7 task/s, elapsed: 851s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4883/6019, 5.7 task/s, elapsed: 851s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4884/6019, 5.7 task/s, elapsed: 851s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4885/6019, 5.7 task/s, elapsed: 852s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4886/6019, 5.7 task/s, elapsed: 852s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4887/6019, 5.7 task/s, elapsed: 852s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4888/6019, 5.7 task/s, elapsed: 852s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4889/6019, 5.7 task/s, elapsed: 852s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4890/6019, 5.7 task/s, elapsed: 852s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4891/6019, 5.7 task/s, elapsed: 853s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4892/6019, 5.7 task/s, elapsed: 853s, ETA: 196s [>>>>>>>>>>>>>>>>>>>>> ] 4893/6019, 5.7 task/s, 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] 4907/6019, 5.7 task/s, elapsed: 855s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>>> ] 4908/6019, 5.7 task/s, elapsed: 855s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>>> ] 4909/6019, 5.7 task/s, elapsed: 856s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>>> ] 4910/6019, 5.7 task/s, elapsed: 856s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>>> ] 4911/6019, 5.7 task/s, elapsed: 856s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>>> ] 4912/6019, 5.7 task/s, elapsed: 856s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>>> ] 4913/6019, 5.7 task/s, elapsed: 856s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>>> ] 4914/6019, 5.7 task/s, elapsed: 856s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>>> ] 4915/6019, 5.7 task/s, elapsed: 857s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4916/6019, 5.7 task/s, elapsed: 857s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4917/6019, 5.7 task/s, elapsed: 857s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4918/6019, 5.7 task/s, elapsed: 857s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4919/6019, 5.7 task/s, elapsed: 857s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4920/6019, 5.7 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>>>>> ] 5756/6019, 5.7 task/s, elapsed: 1002s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5757/6019, 5.7 task/s, elapsed: 1003s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5758/6019, 5.7 task/s, elapsed: 1003s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5759/6019, 5.7 task/s, elapsed: 1003s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5760/6019, 5.7 task/s, elapsed: 1003s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5761/6019, 5.7 task/s, elapsed: 1003s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5762/6019, 5.7 task/s, elapsed: 1003s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5763/6019, 5.7 task/s, elapsed: 1004s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5764/6019, 5.7 task/s, elapsed: 1004s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5765/6019, 5.7 task/s, elapsed: 1004s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5766/6019, 5.7 task/s, elapsed: 1004s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5767/6019, 5.7 task/s, elapsed: 1004s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5768/6019, 5.7 task/s, elapsed: 1005s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5769/6019, 5.7 task/s, elapsed: 1005s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5770/6019, 5.7 task/s, elapsed: 1005s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5771/6019, 5.7 task/s, elapsed: 1005s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5772/6019, 5.7 task/s, elapsed: 1005s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5773/6019, 5.7 task/s, elapsed: 1005s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5774/6019, 5.7 task/s, elapsed: 1006s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5775/6019, 5.7 task/s, elapsed: 1006s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5776/6019, 5.7 task/s, elapsed: 1006s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5777/6019, 5.7 task/s, elapsed: 1006s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5778/6019, 5.7 task/s, elapsed: 1006s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5779/6019, 5.7 task/s, elapsed: 1007s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5780/6019, 5.7 task/s, elapsed: 1007s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5781/6019, 5.7 task/s, elapsed: 1007s, ETA: 41s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5808/6019, 5.7 task/s, elapsed: 1012s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5809/6019, 5.7 task/s, elapsed: 1012s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5810/6019, 5.7 task/s, elapsed: 1012s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5811/6019, 5.7 task/s, elapsed: 1012s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5812/6019, 5.7 task/s, elapsed: 1012s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5813/6019, 5.7 task/s, elapsed: 1013s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5814/6019, 5.7 task/s, elapsed: 1013s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5815/6019, 5.7 task/s, elapsed: 1013s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5816/6019, 5.7 task/s, elapsed: 1013s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5817/6019, 5.7 task/s, elapsed: 1013s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5818/6019, 5.7 task/s, elapsed: 1013s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5819/6019, 5.7 task/s, elapsed: 1014s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5820/6019, 5.7 task/s, elapsed: 1014s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5821/6019, 5.7 task/s, elapsed: 1014s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5822/6019, 5.7 task/s, elapsed: 1014s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5823/6019, 5.7 task/s, elapsed: 1014s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5824/6019, 5.7 task/s, elapsed: 1015s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5825/6019, 5.7 task/s, elapsed: 1015s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5826/6019, 5.7 task/s, elapsed: 1015s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5827/6019, 5.7 task/s, elapsed: 1015s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5828/6019, 5.7 task/s, elapsed: 1015s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5829/6019, 5.7 task/s, elapsed: 1015s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5830/6019, 5.7 task/s, elapsed: 1016s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5831/6019, 5.7 task/s, elapsed: 1016s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5832/6019, 5.7 task/s, elapsed: 1016s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5833/6019, 5.7 task/s, elapsed: 1016s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5834/6019, 5.7 task/s, elapsed: 1016s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5835/6019, 5.7 task/s, elapsed: 1016s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5836/6019, 5.7 task/s, elapsed: 1017s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.7 task/s, elapsed: 1017s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.7 task/s, elapsed: 1017s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.7 task/s, elapsed: 1017s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.7 task/s, elapsed: 1017s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.7 task/s, elapsed: 1018s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5842/6019, 5.7 task/s, elapsed: 1018s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5843/6019, 5.7 task/s, elapsed: 1018s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5844/6019, 5.7 task/s, elapsed: 1018s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5845/6019, 5.7 task/s, elapsed: 1018s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5846/6019, 5.7 task/s, elapsed: 1018s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5847/6019, 5.7 task/s, elapsed: 1019s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5848/6019, 5.7 task/s, elapsed: 1019s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5849/6019, 5.7 task/s, elapsed: 1019s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5850/6019, 5.7 task/s, elapsed: 1019s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5851/6019, 5.7 task/s, elapsed: 1019s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5852/6019, 5.7 task/s, elapsed: 1020s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5853/6019, 5.7 task/s, elapsed: 1020s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5854/6019, 5.7 task/s, elapsed: 1020s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.7 task/s, elapsed: 1020s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.7 task/s, elapsed: 1020s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5857/6019, 5.7 task/s, elapsed: 1020s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5858/6019, 5.7 task/s, elapsed: 1021s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5859/6019, 5.7 task/s, elapsed: 1021s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5860/6019, 5.7 task/s, elapsed: 1021s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5861/6019, 5.7 task/s, elapsed: 1021s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5862/6019, 5.7 task/s, elapsed: 1021s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5863/6019, 5.7 task/s, elapsed: 1022s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5864/6019, 5.7 task/s, elapsed: 1022s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5865/6019, 5.7 task/s, elapsed: 1022s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5866/6019, 5.7 task/s, elapsed: 1022s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5867/6019, 5.7 task/s, elapsed: 1022s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5868/6019, 5.7 task/s, elapsed: 1022s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5869/6019, 5.7 task/s, elapsed: 1023s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5870/6019, 5.7 task/s, elapsed: 1023s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5871/6019, 5.7 task/s, elapsed: 1023s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5872/6019, 5.7 task/s, elapsed: 1023s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.7 task/s, elapsed: 1023s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.7 task/s, elapsed: 1023s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.7 task/s, elapsed: 1024s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.7 task/s, elapsed: 1024s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5877/6019, 5.7 task/s, elapsed: 1024s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5878/6019, 5.7 task/s, elapsed: 1024s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5879/6019, 5.7 task/s, elapsed: 1024s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5880/6019, 5.7 task/s, elapsed: 1025s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5881/6019, 5.7 task/s, elapsed: 1025s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5882/6019, 5.7 task/s, elapsed: 1025s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5883/6019, 5.7 task/s, elapsed: 1025s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5884/6019, 5.7 task/s, elapsed: 1025s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5885/6019, 5.7 task/s, elapsed: 1025s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5886/6019, 5.7 task/s, elapsed: 1026s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5887/6019, 5.7 task/s, elapsed: 1026s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5888/6019, 5.7 task/s, elapsed: 1026s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5889/6019, 5.7 task/s, elapsed: 1026s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5890/6019, 5.7 task/s, elapsed: 1026s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5891/6019, 5.7 task/s, elapsed: 1027s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5892/6019, 5.7 task/s, elapsed: 1027s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5893/6019, 5.7 task/s, elapsed: 1027s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5894/6019, 5.7 task/s, elapsed: 1027s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5895/6019, 5.7 task/s, elapsed: 1027s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5896/6019, 5.7 task/s, elapsed: 1027s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.7 task/s, elapsed: 1028s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.7 task/s, elapsed: 1028s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.7 task/s, elapsed: 1028s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.7 task/s, elapsed: 1028s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.7 task/s, elapsed: 1028s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.7 task/s, elapsed: 1028s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.7 task/s, elapsed: 1029s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.7 task/s, elapsed: 1029s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.7 task/s, elapsed: 1029s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.7 task/s, elapsed: 1029s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.7 task/s, elapsed: 1029s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.7 task/s, elapsed: 1030s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.7 task/s, elapsed: 1030s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.7 task/s, elapsed: 1030s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.7 task/s, elapsed: 1030s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.7 task/s, elapsed: 1030s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.7 task/s, elapsed: 1030s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.7 task/s, elapsed: 1031s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.7 task/s, elapsed: 1031s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.7 task/s, elapsed: 1031s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.7 task/s, elapsed: 1031s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.7 task/s, elapsed: 1031s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.7 task/s, elapsed: 1031s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.7 task/s, elapsed: 1032s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.7 task/s, elapsed: 1032s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.7 task/s, elapsed: 1032s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.7 task/s, elapsed: 1032s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.7 task/s, elapsed: 1032s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.7 task/s, elapsed: 1033s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.7 task/s, elapsed: 1033s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.7 task/s, elapsed: 1033s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.7 task/s, elapsed: 1033s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.7 task/s, elapsed: 1033s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.7 task/s, elapsed: 1033s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.7 task/s, elapsed: 1034s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.7 task/s, elapsed: 1034s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.7 task/s, elapsed: 1034s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.7 task/s, elapsed: 1034s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.7 task/s, elapsed: 1034s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.7 task/s, elapsed: 1034s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.7 task/s, elapsed: 1035s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.7 task/s, elapsed: 1035s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.7 task/s, elapsed: 1035s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.7 task/s, elapsed: 1035s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.7 task/s, elapsed: 1035s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.7 task/s, elapsed: 1036s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.7 task/s, elapsed: 1036s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.7 task/s, elapsed: 1036s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.7 task/s, elapsed: 1036s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.7 task/s, elapsed: 1036s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.7 task/s, elapsed: 1036s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.7 task/s, elapsed: 1037s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.7 task/s, elapsed: 1037s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.7 task/s, elapsed: 1037s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.7 task/s, elapsed: 1037s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.7 task/s, elapsed: 1037s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.7 task/s, elapsed: 1037s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.7 task/s, elapsed: 1038s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.7 task/s, elapsed: 1038s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.7 task/s, elapsed: 1038s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.7 task/s, elapsed: 1038s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.7 task/s, elapsed: 1038s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.7 task/s, elapsed: 1039s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.7 task/s, elapsed: 1039s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.7 task/s, elapsed: 1039s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.7 task/s, elapsed: 1039s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.7 task/s, elapsed: 1039s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.7 task/s, elapsed: 1039s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.7 task/s, elapsed: 1040s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.7 task/s, elapsed: 1040s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.7 task/s, elapsed: 1040s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.7 task/s, elapsed: 1040s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.7 task/s, elapsed: 1040s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.7 task/s, elapsed: 1041s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.7 task/s, elapsed: 1041s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.7 task/s, elapsed: 1041s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.7 task/s, elapsed: 1041s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.7 task/s, elapsed: 1041s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.7 task/s, elapsed: 1041s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.7 task/s, elapsed: 1042s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.7 task/s, elapsed: 1042s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.7 task/s, elapsed: 1042s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.7 task/s, elapsed: 1042s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.7 task/s, elapsed: 1042s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.7 task/s, elapsed: 1042s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.7 task/s, elapsed: 1043s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.7 task/s, elapsed: 1043s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.7 task/s, elapsed: 1043s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.7 task/s, elapsed: 1043s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.7 task/s, elapsed: 1043s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.7 task/s, elapsed: 1044s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.7 task/s, elapsed: 1044s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.7 task/s, elapsed: 1044s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.7 task/s, elapsed: 1044s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.7 task/s, elapsed: 1044s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.7 task/s, elapsed: 1044s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.7 task/s, elapsed: 1045s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.7 task/s, elapsed: 1045s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.7 task/s, elapsed: 1045s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.7 task/s, elapsed: 1045s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.7 task/s, elapsed: 1045s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.7 task/s, elapsed: 1046s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.7 task/s, elapsed: 1046s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.7 task/s, elapsed: 1046s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.7 task/s, elapsed: 1046s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.7 task/s, elapsed: 1046s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.7 task/s, elapsed: 1046s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.7 task/s, elapsed: 1047s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.7 task/s, elapsed: 1047s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.7 task/s, elapsed: 1047s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.7 task/s, elapsed: 1047s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.7 task/s, elapsed: 1047s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.7 task/s, elapsed: 1047s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.7 task/s, elapsed: 1048s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.7 task/s, elapsed: 1048s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.7 task/s, elapsed: 1048s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.7 task/s, elapsed: 1048s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.7 task/s, elapsed: 1048s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.7 task/s, elapsed: 1049s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.7 task/s, elapsed: 1049s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.7 task/s, elapsed: 1049s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.7 task/s, elapsed: 1049s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.7 task/s, elapsed: 1049s, ETA: 0s +Results writes to /tmp/tmpst3x8v3f/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 5.9 task/s, elapsed: 36s, ETA: 992s [> ] 209/6019, 5.9 task/s, elapsed: 36s, ETA: 992s [> ] 210/6019, 5.9 task/s, elapsed: 36s, ETA: 992s [> ] 211/6019, 5.9 task/s, elapsed: 36s, ETA: 992s [> ] 212/6019, 5.9 task/s, elapsed: 36s, ETA: 992s [> ] 213/6019, 5.9 task/s, elapsed: 36s, ETA: 992s [> ] 214/6019, 5.9 task/s, elapsed: 37s, ETA: 991s [> ] 215/6019, 5.9 task/s, elapsed: 37s, ETA: 991s [> ] 216/6019, 5.9 task/s, elapsed: 37s, ETA: 991s [> ] 217/6019, 5.9 task/s, elapsed: 37s, ETA: 991s [> ] 218/6019, 5.9 task/s, elapsed: 37s, ETA: 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] 1718/6019, 5.7 task/s, elapsed: 300s, ETA: 750s [>>>>>>> ] 1719/6019, 5.7 task/s, elapsed: 300s, ETA: 750s [>>>>>>> ] 1720/6019, 5.7 task/s, elapsed: 300s, ETA: 750s [>>>>>>> ] 1721/6019, 5.7 task/s, elapsed: 300s, ETA: 750s [>>>>>>> ] 1722/6019, 5.7 task/s, elapsed: 300s, ETA: 750s [>>>>>>> ] 1723/6019, 5.7 task/s, elapsed: 301s, ETA: 749s [>>>>>>> ] 1724/6019, 5.7 task/s, elapsed: 301s, ETA: 749s [>>>>>>> ] 1725/6019, 5.7 task/s, elapsed: 301s, ETA: 749s [>>>>>>> ] 1726/6019, 5.7 task/s, elapsed: 301s, ETA: 749s [>>>>>>> ] 1727/6019, 5.7 task/s, elapsed: 301s, ETA: 749s [>>>>>>> ] 1728/6019, 5.7 task/s, elapsed: 301s, ETA: 749s [>>>>>>> ] 1729/6019, 5.7 task/s, elapsed: 302s, ETA: 748s [>>>>>>> ] 1730/6019, 5.7 task/s, elapsed: 302s, ETA: 748s [>>>>>>> ] 1731/6019, 5.7 task/s, elapsed: 302s, ETA: 748s [>>>>>>> ] 1732/6019, 5.7 task/s, elapsed: 302s, ETA: 748s [>>>>>>> ] 1733/6019, 5.7 task/s, elapsed: 302s, ETA: 748s [>>>>>>> ] 1734/6019, 5.7 task/s, elapsed: 302s, ETA: 747s 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] 3822/6019, 5.7 task/s, elapsed: 670s, ETA: 385s [>>>>>>>>>>>>>>>>> ] 3823/6019, 5.7 task/s, elapsed: 670s, ETA: 385s [>>>>>>>>>>>>>>>>> ] 3824/6019, 5.7 task/s, elapsed: 670s, ETA: 385s [>>>>>>>>>>>>>>>>> ] 3825/6019, 5.7 task/s, elapsed: 670s, ETA: 384s [>>>>>>>>>>>>>>>>> ] 3826/6019, 5.7 task/s, elapsed: 670s, ETA: 384s [>>>>>>>>>>>>>>>>> ] 3827/6019, 5.7 task/s, elapsed: 671s, ETA: 384s [>>>>>>>>>>>>>>>>> ] 3828/6019, 5.7 task/s, elapsed: 671s, ETA: 384s [>>>>>>>>>>>>>>>>> ] 3829/6019, 5.7 task/s, elapsed: 671s, ETA: 384s [>>>>>>>>>>>>>>>>> ] 3830/6019, 5.7 task/s, elapsed: 671s, ETA: 384s [>>>>>>>>>>>>>>>>> ] 3831/6019, 5.7 task/s, elapsed: 671s, ETA: 383s [>>>>>>>>>>>>>>>>> ] 3832/6019, 5.7 task/s, elapsed: 672s, ETA: 383s [>>>>>>>>>>>>>>>>> ] 3833/6019, 5.7 task/s, elapsed: 672s, ETA: 383s [>>>>>>>>>>>>>>>>> ] 3834/6019, 5.7 task/s, elapsed: 672s, ETA: 383s [>>>>>>>>>>>>>>>>> ] 3835/6019, 5.7 task/s, elapsed: 672s, ETA: 383s [>>>>>>>>>>>>>>>>> ] 3836/6019, 5.7 task/s, elapsed: 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] 3851/6019, 5.7 task/s, elapsed: 675s, ETA: 380s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.7 task/s, elapsed: 675s, ETA: 380s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.7 task/s, elapsed: 675s, ETA: 380s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.7 task/s, elapsed: 675s, ETA: 379s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.7 task/s, elapsed: 676s, ETA: 379s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.7 task/s, elapsed: 676s, ETA: 379s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.7 task/s, elapsed: 676s, ETA: 379s [>>>>>>>>>>>>>>>>> ] 3858/6019, 5.7 task/s, elapsed: 676s, ETA: 379s [>>>>>>>>>>>>>>>>> ] 3859/6019, 5.7 task/s, elapsed: 676s, ETA: 379s [>>>>>>>>>>>>>>>>> ] 3860/6019, 5.7 task/s, elapsed: 677s, ETA: 378s [>>>>>>>>>>>>>>>>> ] 3861/6019, 5.7 task/s, elapsed: 677s, ETA: 378s [>>>>>>>>>>>>>>>>> ] 3862/6019, 5.7 task/s, elapsed: 677s, ETA: 378s [>>>>>>>>>>>>>>>>> ] 3863/6019, 5.7 task/s, elapsed: 677s, ETA: 378s [>>>>>>>>>>>>>>>>> ] 3864/6019, 5.7 task/s, elapsed: 677s, ETA: 378s [>>>>>>>>>>>>>>>>> ] 3865/6019, 5.7 task/s, elapsed: 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] 3880/6019, 5.7 task/s, elapsed: 680s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.7 task/s, elapsed: 680s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.7 task/s, elapsed: 680s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3883/6019, 5.7 task/s, elapsed: 681s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3884/6019, 5.7 task/s, elapsed: 681s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3885/6019, 5.7 task/s, elapsed: 681s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3886/6019, 5.7 task/s, elapsed: 681s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3887/6019, 5.7 task/s, elapsed: 681s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3888/6019, 5.7 task/s, elapsed: 681s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3889/6019, 5.7 task/s, elapsed: 682s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3890/6019, 5.7 task/s, elapsed: 682s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3891/6019, 5.7 task/s, elapsed: 682s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3892/6019, 5.7 task/s, elapsed: 682s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3893/6019, 5.7 task/s, elapsed: 682s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3894/6019, 5.7 task/s, elapsed: 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] 3909/6019, 5.7 task/s, elapsed: 685s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3910/6019, 5.7 task/s, elapsed: 685s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3911/6019, 5.7 task/s, elapsed: 686s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3912/6019, 5.7 task/s, elapsed: 686s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3913/6019, 5.7 task/s, elapsed: 686s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3914/6019, 5.7 task/s, elapsed: 686s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3915/6019, 5.7 task/s, elapsed: 686s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3916/6019, 5.7 task/s, elapsed: 686s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3917/6019, 5.7 task/s, elapsed: 687s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3918/6019, 5.7 task/s, elapsed: 687s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3919/6019, 5.7 task/s, elapsed: 687s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3920/6019, 5.7 task/s, elapsed: 687s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3921/6019, 5.7 task/s, elapsed: 687s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3922/6019, 5.7 task/s, elapsed: 687s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3923/6019, 5.7 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5829/6019, 5.7 task/s, elapsed: 1029s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5830/6019, 5.7 task/s, elapsed: 1029s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5831/6019, 5.7 task/s, elapsed: 1030s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5832/6019, 5.7 task/s, elapsed: 1030s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5833/6019, 5.7 task/s, elapsed: 1030s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5834/6019, 5.7 task/s, elapsed: 1030s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5835/6019, 5.7 task/s, elapsed: 1030s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5836/6019, 5.7 task/s, elapsed: 1030s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.7 task/s, elapsed: 1031s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.7 task/s, elapsed: 1031s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.7 task/s, elapsed: 1031s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.7 task/s, elapsed: 1031s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.7 task/s, elapsed: 1031s, ETA: 31s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5868/6019, 5.7 task/s, elapsed: 1036s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5869/6019, 5.7 task/s, elapsed: 1036s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5870/6019, 5.7 task/s, elapsed: 1037s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5871/6019, 5.7 task/s, elapsed: 1037s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5872/6019, 5.7 task/s, elapsed: 1037s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.7 task/s, elapsed: 1037s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.7 task/s, elapsed: 1037s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.7 task/s, elapsed: 1038s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.7 task/s, elapsed: 1038s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5877/6019, 5.7 task/s, elapsed: 1038s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5878/6019, 5.7 task/s, elapsed: 1038s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5879/6019, 5.7 task/s, elapsed: 1038s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5880/6019, 5.7 task/s, elapsed: 1039s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5881/6019, 5.7 task/s, elapsed: 1039s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5882/6019, 5.7 task/s, elapsed: 1039s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5883/6019, 5.7 task/s, elapsed: 1039s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5884/6019, 5.7 task/s, elapsed: 1039s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5885/6019, 5.7 task/s, elapsed: 1039s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5886/6019, 5.7 task/s, elapsed: 1040s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5887/6019, 5.7 task/s, elapsed: 1040s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5888/6019, 5.7 task/s, elapsed: 1040s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5889/6019, 5.7 task/s, elapsed: 1040s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5890/6019, 5.7 task/s, elapsed: 1040s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5891/6019, 5.7 task/s, elapsed: 1040s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5892/6019, 5.7 task/s, elapsed: 1041s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5893/6019, 5.7 task/s, elapsed: 1041s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5894/6019, 5.7 task/s, elapsed: 1041s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5895/6019, 5.7 task/s, elapsed: 1041s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5896/6019, 5.7 task/s, elapsed: 1041s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.7 task/s, elapsed: 1042s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.7 task/s, elapsed: 1042s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.7 task/s, elapsed: 1042s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.7 task/s, elapsed: 1042s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.7 task/s, elapsed: 1042s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.7 task/s, elapsed: 1042s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.7 task/s, elapsed: 1043s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.7 task/s, elapsed: 1043s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.7 task/s, elapsed: 1043s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.7 task/s, elapsed: 1043s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.7 task/s, elapsed: 1043s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.7 task/s, elapsed: 1044s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.7 task/s, elapsed: 1044s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.7 task/s, elapsed: 1044s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.7 task/s, elapsed: 1044s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.7 task/s, elapsed: 1044s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.7 task/s, elapsed: 1044s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.7 task/s, elapsed: 1045s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.7 task/s, elapsed: 1045s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.7 task/s, elapsed: 1045s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.7 task/s, elapsed: 1045s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.7 task/s, elapsed: 1045s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.7 task/s, elapsed: 1045s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.7 task/s, elapsed: 1046s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.7 task/s, elapsed: 1046s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.7 task/s, elapsed: 1046s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.7 task/s, elapsed: 1046s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.7 task/s, elapsed: 1046s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.7 task/s, elapsed: 1047s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.7 task/s, elapsed: 1047s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.7 task/s, elapsed: 1047s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.7 task/s, elapsed: 1047s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.7 task/s, elapsed: 1047s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.7 task/s, elapsed: 1047s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.7 task/s, elapsed: 1048s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.7 task/s, elapsed: 1048s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.7 task/s, elapsed: 1048s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.7 task/s, elapsed: 1048s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.7 task/s, elapsed: 1048s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.7 task/s, elapsed: 1049s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.7 task/s, elapsed: 1049s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.7 task/s, elapsed: 1049s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.7 task/s, elapsed: 1049s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.7 task/s, elapsed: 1049s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.7 task/s, elapsed: 1049s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.7 task/s, elapsed: 1050s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.7 task/s, elapsed: 1050s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.7 task/s, elapsed: 1050s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.7 task/s, elapsed: 1050s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.7 task/s, elapsed: 1050s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.7 task/s, elapsed: 1051s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.7 task/s, elapsed: 1051s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.7 task/s, elapsed: 1051s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.7 task/s, elapsed: 1051s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.7 task/s, elapsed: 1051s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.7 task/s, elapsed: 1051s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.7 task/s, elapsed: 1052s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.7 task/s, elapsed: 1052s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.7 task/s, elapsed: 1052s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.7 task/s, elapsed: 1052s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.7 task/s, elapsed: 1052s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.7 task/s, elapsed: 1053s, ETA: 11s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.7 task/s, elapsed: 1060s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.7 task/s, elapsed: 1060s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.7 task/s, elapsed: 1060s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.7 task/s, elapsed: 1060s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.7 task/s, elapsed: 1061s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.7 task/s, elapsed: 1061s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.7 task/s, elapsed: 1061s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.7 task/s, elapsed: 1061s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.7 task/s, elapsed: 1061s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.7 task/s, elapsed: 1061s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.7 task/s, elapsed: 1062s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.7 task/s, elapsed: 1062s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.7 task/s, elapsed: 1062s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.7 task/s, elapsed: 1062s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.7 task/s, elapsed: 1062s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.7 task/s, elapsed: 1062s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.7 task/s, elapsed: 1063s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.7 task/s, elapsed: 1063s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.7 task/s, elapsed: 1063s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.7 task/s, elapsed: 1063s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.7 task/s, elapsed: 1063s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.7 task/s, elapsed: 1064s, ETA: 0s +Results writes to /tmp/tmp0hswipfa/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 4.1 task/s, elapsed: 51s, ETA: 1414s [> ] 209/6019, 4.1 task/s, elapsed: 51s, ETA: 1411s [> ] 210/6019, 4.1 task/s, elapsed: 51s, ETA: 1409s [> ] 211/6019, 4.1 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] 3794/6019, 5.7 task/s, elapsed: 666s, ETA: 391s [>>>>>>>>>>>>>>>>> ] 3795/6019, 5.7 task/s, elapsed: 666s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 3796/6019, 5.7 task/s, elapsed: 666s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 3797/6019, 5.7 task/s, elapsed: 667s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 3798/6019, 5.7 task/s, elapsed: 667s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 3799/6019, 5.7 task/s, elapsed: 667s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 3800/6019, 5.7 task/s, elapsed: 667s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 3801/6019, 5.7 task/s, elapsed: 667s, ETA: 389s [>>>>>>>>>>>>>>>>> ] 3802/6019, 5.7 task/s, elapsed: 667s, ETA: 389s [>>>>>>>>>>>>>>>>> ] 3803/6019, 5.7 task/s, elapsed: 668s, ETA: 389s [>>>>>>>>>>>>>>>>> ] 3804/6019, 5.7 task/s, elapsed: 668s, ETA: 389s [>>>>>>>>>>>>>>>>> ] 3805/6019, 5.7 task/s, elapsed: 668s, ETA: 389s [>>>>>>>>>>>>>>>>> ] 3806/6019, 5.7 task/s, elapsed: 668s, ETA: 389s [>>>>>>>>>>>>>>>>> ] 3807/6019, 5.7 task/s, elapsed: 668s, ETA: 388s [>>>>>>>>>>>>>>>>> ] 3808/6019, 5.7 task/s, elapsed: 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] 5556/6019, 5.7 task/s, elapsed: 973s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5557/6019, 5.7 task/s, elapsed: 973s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5558/6019, 5.7 task/s, elapsed: 974s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5559/6019, 5.7 task/s, elapsed: 974s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5560/6019, 5.7 task/s, elapsed: 974s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5561/6019, 5.7 task/s, elapsed: 974s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5562/6019, 5.7 task/s, elapsed: 974s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5563/6019, 5.7 task/s, elapsed: 974s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5564/6019, 5.7 task/s, elapsed: 975s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5565/6019, 5.7 task/s, elapsed: 975s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5566/6019, 5.7 task/s, elapsed: 975s, ETA: 79s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5567/6019, 5.7 task/s, elapsed: 975s, ETA: 79s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5568/6019, 5.7 task/s, elapsed: 975s, ETA: 79s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5569/6019, 5.7 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.7 task/s, elapsed: 1035s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.7 task/s, elapsed: 1035s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.7 task/s, elapsed: 1035s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.7 task/s, elapsed: 1035s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.7 task/s, elapsed: 1035s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.7 task/s, elapsed: 1035s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.7 task/s, elapsed: 1036s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.7 task/s, elapsed: 1036s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.7 task/s, elapsed: 1036s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.7 task/s, elapsed: 1036s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.7 task/s, elapsed: 1036s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.7 task/s, elapsed: 1037s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.7 task/s, elapsed: 1037s, ETA: 17s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.7 task/s, elapsed: 1039s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.7 task/s, elapsed: 1039s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.7 task/s, elapsed: 1039s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.7 task/s, elapsed: 1040s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.7 task/s, elapsed: 1040s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.7 task/s, elapsed: 1040s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.7 task/s, elapsed: 1040s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.7 task/s, elapsed: 1040s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.7 task/s, elapsed: 1041s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.7 task/s, elapsed: 1041s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.7 task/s, elapsed: 1041s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.7 task/s, elapsed: 1041s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.7 task/s, elapsed: 1041s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.7 task/s, elapsed: 1041s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.7 task/s, elapsed: 1042s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.7 task/s, elapsed: 1042s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.7 task/s, elapsed: 1042s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.7 task/s, elapsed: 1042s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.7 task/s, elapsed: 1042s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.7 task/s, elapsed: 1042s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.7 task/s, elapsed: 1043s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.7 task/s, elapsed: 1043s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.7 task/s, elapsed: 1043s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.7 task/s, elapsed: 1043s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.7 task/s, elapsed: 1043s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.7 task/s, elapsed: 1044s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.7 task/s, elapsed: 1044s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.7 task/s, elapsed: 1044s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.7 task/s, elapsed: 1044s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.7 task/s, elapsed: 1044s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.7 task/s, elapsed: 1044s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.7 task/s, elapsed: 1045s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.7 task/s, elapsed: 1045s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.7 task/s, elapsed: 1045s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.7 task/s, elapsed: 1045s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.7 task/s, elapsed: 1045s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.7 task/s, elapsed: 1045s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.7 task/s, elapsed: 1046s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.7 task/s, elapsed: 1046s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.7 task/s, elapsed: 1046s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.7 task/s, elapsed: 1046s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.7 task/s, elapsed: 1046s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.7 task/s, elapsed: 1047s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.7 task/s, elapsed: 1047s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.7 task/s, elapsed: 1047s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.7 task/s, elapsed: 1047s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.7 task/s, elapsed: 1047s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.7 task/s, elapsed: 1047s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.7 task/s, elapsed: 1048s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.7 task/s, elapsed: 1048s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.7 task/s, elapsed: 1048s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.7 task/s, elapsed: 1048s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.7 task/s, elapsed: 1048s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.7 task/s, elapsed: 1048s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.7 task/s, elapsed: 1049s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.7 task/s, elapsed: 1049s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.7 task/s, elapsed: 1049s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.7 task/s, elapsed: 1049s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.7 task/s, elapsed: 1049s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.7 task/s, elapsed: 1050s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.7 task/s, elapsed: 1050s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.7 task/s, elapsed: 1050s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.7 task/s, elapsed: 1050s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.7 task/s, elapsed: 1050s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.7 task/s, elapsed: 1050s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.7 task/s, elapsed: 1051s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.7 task/s, elapsed: 1051s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.7 task/s, elapsed: 1051s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.7 task/s, elapsed: 1051s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.7 task/s, elapsed: 1051s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.7 task/s, elapsed: 1051s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.7 task/s, elapsed: 1052s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.7 task/s, elapsed: 1052s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.7 task/s, elapsed: 1052s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.7 task/s, elapsed: 1052s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.7 task/s, elapsed: 1052s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.7 task/s, elapsed: 1053s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.7 task/s, elapsed: 1053s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.7 task/s, elapsed: 1053s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.7 task/s, elapsed: 1053s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.7 task/s, elapsed: 1053s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.7 task/s, elapsed: 1053s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.7 task/s, elapsed: 1054s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.7 task/s, elapsed: 1054s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.7 task/s, elapsed: 1054s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.7 task/s, elapsed: 1054s, ETA: 0s +Results writes to /tmp/tmp2l9io8c9/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.0 task/s, elapsed: 35s, ETA: 965s [> ] 209/6019, 6.0 task/s, elapsed: 35s, ETA: 965s [> ] 210/6019, 6.0 task/s, elapsed: 35s, ETA: 965s [> ] 211/6019, 6.0 task/s, elapsed: 35s, ETA: 965s [> ] 212/6019, 6.0 task/s, elapsed: 35s, ETA: 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] 933/6019, 5.9 task/s, elapsed: 157s, ETA: 855s [>>>> ] 934/6019, 5.9 task/s, elapsed: 157s, ETA: 855s [>>>> ] 935/6019, 5.9 task/s, elapsed: 157s, ETA: 855s [>>>> ] 936/6019, 5.9 task/s, elapsed: 157s, ETA: 855s [>>>> ] 937/6019, 5.9 task/s, elapsed: 158s, ETA: 854s [>>>> ] 938/6019, 5.9 task/s, elapsed: 158s, ETA: 854s [>>>> ] 939/6019, 5.9 task/s, elapsed: 158s, ETA: 854s [>>>> ] 940/6019, 5.9 task/s, elapsed: 158s, ETA: 854s [>>>> ] 941/6019, 5.9 task/s, elapsed: 158s, ETA: 854s [>>>> ] 942/6019, 5.9 task/s, elapsed: 158s, ETA: 854s [>>>> ] 943/6019, 5.9 task/s, elapsed: 159s, ETA: 854s [>>>> ] 944/6019, 5.9 task/s, elapsed: 159s, ETA: 853s [>>>> ] 945/6019, 5.9 task/s, elapsed: 159s, ETA: 853s [>>>> ] 946/6019, 5.9 task/s, elapsed: 159s, ETA: 853s [>>>> ] 947/6019, 5.9 task/s, elapsed: 159s, ETA: 853s [>>>> ] 948/6019, 5.9 task/s, elapsed: 159s, ETA: 853s [>>>> ] 949/6019, 5.9 task/s, elapsed: 160s, ETA: 853s [>>>> ] 950/6019, 5.9 task/s, elapsed: 160s, ETA: 853s [>>>> ] 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] 1732/6019, 5.9 task/s, elapsed: 295s, ETA: 730s [>>>>>>> ] 1733/6019, 5.9 task/s, elapsed: 295s, ETA: 730s [>>>>>>> ] 1734/6019, 5.9 task/s, elapsed: 295s, ETA: 730s [>>>>>>> ] 1735/6019, 5.9 task/s, elapsed: 295s, ETA: 730s [>>>>>>> ] 1736/6019, 5.9 task/s, elapsed: 296s, ETA: 729s [>>>>>>> ] 1737/6019, 5.9 task/s, elapsed: 296s, ETA: 729s [>>>>>>> ] 1738/6019, 5.9 task/s, elapsed: 296s, ETA: 729s [>>>>>>> ] 1739/6019, 5.9 task/s, elapsed: 296s, ETA: 729s [>>>>>>> ] 1740/6019, 5.9 task/s, elapsed: 296s, ETA: 729s [>>>>>>> ] 1741/6019, 5.9 task/s, elapsed: 296s, ETA: 729s [>>>>>>> ] 1742/6019, 5.9 task/s, elapsed: 297s, ETA: 728s [>>>>>>> ] 1743/6019, 5.9 task/s, elapsed: 297s, ETA: 728s [>>>>>>> ] 1744/6019, 5.9 task/s, elapsed: 297s, ETA: 728s [>>>>>>> ] 1745/6019, 5.9 task/s, elapsed: 297s, ETA: 728s [>>>>>>> ] 1746/6019, 5.9 task/s, elapsed: 297s, ETA: 728s [>>>>>>> ] 1747/6019, 5.9 task/s, elapsed: 297s, ETA: 727s [>>>>>>> ] 1748/6019, 5.9 task/s, elapsed: 298s, ETA: 727s 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] 3819/6019, 5.8 task/s, elapsed: 663s, ETA: 382s [>>>>>>>>>>>>>>>>> ] 3820/6019, 5.8 task/s, elapsed: 663s, ETA: 381s [>>>>>>>>>>>>>>>>> ] 3821/6019, 5.8 task/s, elapsed: 663s, ETA: 381s [>>>>>>>>>>>>>>>>> ] 3822/6019, 5.8 task/s, elapsed: 663s, ETA: 381s [>>>>>>>>>>>>>>>>> ] 3823/6019, 5.8 task/s, elapsed: 663s, ETA: 381s [>>>>>>>>>>>>>>>>> ] 3824/6019, 5.8 task/s, elapsed: 663s, ETA: 381s [>>>>>>>>>>>>>>>>> ] 3825/6019, 5.8 task/s, elapsed: 664s, ETA: 381s [>>>>>>>>>>>>>>>>> ] 3826/6019, 5.8 task/s, elapsed: 664s, ETA: 380s [>>>>>>>>>>>>>>>>> ] 3827/6019, 5.8 task/s, elapsed: 664s, ETA: 380s [>>>>>>>>>>>>>>>>> ] 3828/6019, 5.8 task/s, elapsed: 664s, ETA: 380s [>>>>>>>>>>>>>>>>> ] 3829/6019, 5.8 task/s, elapsed: 664s, ETA: 380s [>>>>>>>>>>>>>>>>> ] 3830/6019, 5.8 task/s, elapsed: 664s, ETA: 380s [>>>>>>>>>>>>>>>>> ] 3831/6019, 5.8 task/s, elapsed: 665s, ETA: 380s [>>>>>>>>>>>>>>>>> ] 3832/6019, 5.8 task/s, elapsed: 665s, ETA: 379s [>>>>>>>>>>>>>>>>> ] 3833/6019, 5.8 task/s, elapsed: 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] 3848/6019, 5.8 task/s, elapsed: 668s, ETA: 377s [>>>>>>>>>>>>>>>>> ] 3849/6019, 5.8 task/s, elapsed: 668s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3850/6019, 5.8 task/s, elapsed: 668s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3851/6019, 5.8 task/s, elapsed: 668s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.8 task/s, elapsed: 668s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.8 task/s, elapsed: 668s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.8 task/s, elapsed: 669s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.8 task/s, elapsed: 669s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.8 task/s, elapsed: 669s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.8 task/s, elapsed: 669s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3858/6019, 5.8 task/s, elapsed: 669s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3859/6019, 5.8 task/s, elapsed: 670s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3860/6019, 5.8 task/s, elapsed: 670s, ETA: 375s [>>>>>>>>>>>>>>>>> ] 3861/6019, 5.8 task/s, elapsed: 670s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3862/6019, 5.8 task/s, elapsed: 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] 3906/6019, 5.8 task/s, elapsed: 678s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3907/6019, 5.8 task/s, elapsed: 678s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3908/6019, 5.8 task/s, elapsed: 678s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3909/6019, 5.8 task/s, elapsed: 678s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3910/6019, 5.8 task/s, elapsed: 678s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3911/6019, 5.8 task/s, elapsed: 679s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3912/6019, 5.8 task/s, elapsed: 679s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3913/6019, 5.8 task/s, elapsed: 679s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3914/6019, 5.8 task/s, elapsed: 679s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3915/6019, 5.8 task/s, elapsed: 679s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3916/6019, 5.8 task/s, elapsed: 679s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3917/6019, 5.8 task/s, elapsed: 680s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3918/6019, 5.8 task/s, elapsed: 680s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3919/6019, 5.8 task/s, elapsed: 680s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3920/6019, 5.8 task/s, elapsed: 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] 3935/6019, 5.8 task/s, elapsed: 683s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3936/6019, 5.8 task/s, elapsed: 683s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3937/6019, 5.8 task/s, elapsed: 683s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3938/6019, 5.8 task/s, elapsed: 683s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3939/6019, 5.8 task/s, elapsed: 683s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3940/6019, 5.8 task/s, elapsed: 684s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3941/6019, 5.8 task/s, elapsed: 684s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3942/6019, 5.8 task/s, elapsed: 684s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3943/6019, 5.8 task/s, elapsed: 684s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3944/6019, 5.8 task/s, elapsed: 684s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3945/6019, 5.8 task/s, elapsed: 684s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3946/6019, 5.8 task/s, elapsed: 685s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3947/6019, 5.8 task/s, elapsed: 685s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3948/6019, 5.8 task/s, elapsed: 685s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3949/6019, 5.8 task/s, elapsed: 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] 3964/6019, 5.8 task/s, elapsed: 688s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3965/6019, 5.8 task/s, elapsed: 688s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3966/6019, 5.8 task/s, elapsed: 688s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3967/6019, 5.8 task/s, elapsed: 688s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3968/6019, 5.8 task/s, elapsed: 688s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3969/6019, 5.8 task/s, elapsed: 688s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3970/6019, 5.8 task/s, elapsed: 689s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3971/6019, 5.8 task/s, elapsed: 689s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3972/6019, 5.8 task/s, elapsed: 689s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3973/6019, 5.8 task/s, elapsed: 689s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3974/6019, 5.8 task/s, elapsed: 689s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3975/6019, 5.8 task/s, elapsed: 689s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3976/6019, 5.8 task/s, elapsed: 690s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3977/6019, 5.8 task/s, elapsed: 690s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3978/6019, 5.8 task/s, elapsed: 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] 3993/6019, 5.8 task/s, elapsed: 692s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3994/6019, 5.8 task/s, elapsed: 693s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3995/6019, 5.8 task/s, elapsed: 693s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3996/6019, 5.8 task/s, elapsed: 693s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3997/6019, 5.8 task/s, elapsed: 693s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3998/6019, 5.8 task/s, elapsed: 693s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3999/6019, 5.8 task/s, elapsed: 693s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 4000/6019, 5.8 task/s, elapsed: 694s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 4001/6019, 5.8 task/s, elapsed: 694s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 4002/6019, 5.8 task/s, elapsed: 694s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 4003/6019, 5.8 task/s, elapsed: 694s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 4004/6019, 5.8 task/s, elapsed: 694s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 4005/6019, 5.8 task/s, elapsed: 694s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 4006/6019, 5.8 task/s, elapsed: 695s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 4007/6019, 5.8 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>> ] 4831/6019, 5.7 task/s, elapsed: 841s, ETA: 207s [>>>>>>>>>>>>>>>>>>>>> ] 4832/6019, 5.7 task/s, elapsed: 841s, ETA: 207s [>>>>>>>>>>>>>>>>>>>>> ] 4833/6019, 5.7 task/s, elapsed: 841s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4834/6019, 5.7 task/s, elapsed: 841s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4835/6019, 5.7 task/s, elapsed: 841s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4836/6019, 5.7 task/s, elapsed: 842s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4837/6019, 5.7 task/s, elapsed: 842s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4838/6019, 5.7 task/s, elapsed: 842s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4839/6019, 5.7 task/s, elapsed: 842s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4840/6019, 5.7 task/s, elapsed: 842s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4841/6019, 5.7 task/s, elapsed: 842s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4842/6019, 5.7 task/s, elapsed: 843s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4843/6019, 5.7 task/s, elapsed: 843s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4844/6019, 5.7 task/s, 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[>>>>>>>>>>>>>>>>>>>>> ] 4872/6019, 5.7 task/s, elapsed: 848s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4873/6019, 5.7 task/s, elapsed: 848s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4874/6019, 5.7 task/s, elapsed: 848s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4875/6019, 5.7 task/s, elapsed: 848s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4876/6019, 5.7 task/s, elapsed: 848s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4877/6019, 5.7 task/s, elapsed: 849s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4878/6019, 5.7 task/s, elapsed: 849s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4879/6019, 5.7 task/s, elapsed: 849s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4880/6019, 5.7 task/s, elapsed: 849s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4881/6019, 5.7 task/s, elapsed: 849s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4882/6019, 5.7 task/s, elapsed: 849s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4883/6019, 5.7 task/s, elapsed: 850s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4884/6019, 5.7 task/s, elapsed: 850s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4885/6019, 5.7 task/s, 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] 5275/6019, 5.8 task/s, elapsed: 916s, ETA: 129s [>>>>>>>>>>>>>>>>>>>>>>> ] 5276/6019, 5.8 task/s, elapsed: 916s, ETA: 129s [>>>>>>>>>>>>>>>>>>>>>>> ] 5277/6019, 5.8 task/s, elapsed: 916s, ETA: 129s [>>>>>>>>>>>>>>>>>>>>>>> ] 5278/6019, 5.8 task/s, elapsed: 916s, ETA: 129s [>>>>>>>>>>>>>>>>>>>>>>> ] 5279/6019, 5.8 task/s, elapsed: 916s, ETA: 128s [>>>>>>>>>>>>>>>>>>>>>>> ] 5280/6019, 5.8 task/s, elapsed: 916s, ETA: 128s [>>>>>>>>>>>>>>>>>>>>>>> ] 5281/6019, 5.8 task/s, elapsed: 917s, ETA: 128s [>>>>>>>>>>>>>>>>>>>>>>> ] 5282/6019, 5.8 task/s, elapsed: 917s, ETA: 128s [>>>>>>>>>>>>>>>>>>>>>>> ] 5283/6019, 5.8 task/s, elapsed: 917s, ETA: 128s [>>>>>>>>>>>>>>>>>>>>>>> ] 5284/6019, 5.8 task/s, elapsed: 917s, ETA: 128s [>>>>>>>>>>>>>>>>>>>>>>> ] 5285/6019, 5.8 task/s, elapsed: 917s, ETA: 127s [>>>>>>>>>>>>>>>>>>>>>>> ] 5286/6019, 5.8 task/s, elapsed: 917s, ETA: 127s [>>>>>>>>>>>>>>>>>>>>>>> ] 5287/6019, 5.8 task/s, elapsed: 918s, ETA: 127s [>>>>>>>>>>>>>>>>>>>>>>> ] 5288/6019, 5.8 task/s, 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] 5315/6019, 5.8 task/s, elapsed: 922s, ETA: 122s [>>>>>>>>>>>>>>>>>>>>>>> ] 5316/6019, 5.8 task/s, elapsed: 922s, ETA: 122s [>>>>>>>>>>>>>>>>>>>>>>> ] 5317/6019, 5.8 task/s, elapsed: 923s, ETA: 122s [>>>>>>>>>>>>>>>>>>>>>>> ] 5318/6019, 5.8 task/s, elapsed: 923s, ETA: 122s [>>>>>>>>>>>>>>>>>>>>>>> ] 5319/6019, 5.8 task/s, elapsed: 923s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5320/6019, 5.8 task/s, elapsed: 923s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5321/6019, 5.8 task/s, elapsed: 923s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5322/6019, 5.8 task/s, elapsed: 924s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5323/6019, 5.8 task/s, elapsed: 924s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5324/6019, 5.8 task/s, elapsed: 924s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5325/6019, 5.8 task/s, elapsed: 924s, ETA: 120s [>>>>>>>>>>>>>>>>>>>>>>> ] 5326/6019, 5.8 task/s, elapsed: 924s, ETA: 120s [>>>>>>>>>>>>>>>>>>>>>>> ] 5327/6019, 5.8 task/s, elapsed: 924s, ETA: 120s [>>>>>>>>>>>>>>>>>>>>>>> ] 5328/6019, 5.8 task/s, 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] 5512/6019, 5.7 task/s, elapsed: 962s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5513/6019, 5.7 task/s, elapsed: 962s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5514/6019, 5.7 task/s, elapsed: 962s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5515/6019, 5.7 task/s, elapsed: 962s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5516/6019, 5.7 task/s, elapsed: 963s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5517/6019, 5.7 task/s, elapsed: 963s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5518/6019, 5.7 task/s, elapsed: 963s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5519/6019, 5.7 task/s, elapsed: 963s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5520/6019, 5.7 task/s, elapsed: 963s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5521/6019, 5.7 task/s, elapsed: 964s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5522/6019, 5.7 task/s, elapsed: 964s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5523/6019, 5.7 task/s, elapsed: 964s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5524/6019, 5.7 task/s, elapsed: 964s, ETA: 86s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5525/6019, 5.7 task/s, 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] 5552/6019, 5.7 task/s, elapsed: 969s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5553/6019, 5.7 task/s, elapsed: 969s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5554/6019, 5.7 task/s, elapsed: 969s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5555/6019, 5.7 task/s, elapsed: 969s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5556/6019, 5.7 task/s, elapsed: 970s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5557/6019, 5.7 task/s, elapsed: 970s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5558/6019, 5.7 task/s, elapsed: 970s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5559/6019, 5.7 task/s, elapsed: 970s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5560/6019, 5.7 task/s, elapsed: 970s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5561/6019, 5.7 task/s, elapsed: 970s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5562/6019, 5.7 task/s, elapsed: 971s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5563/6019, 5.7 task/s, elapsed: 971s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5564/6019, 5.7 task/s, elapsed: 971s, ETA: 79s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5565/6019, 5.7 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5813/6019, 5.7 task/s, elapsed: 1015s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5814/6019, 5.7 task/s, elapsed: 1015s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5815/6019, 5.7 task/s, elapsed: 1015s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5816/6019, 5.7 task/s, elapsed: 1015s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5817/6019, 5.7 task/s, elapsed: 1015s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5818/6019, 5.7 task/s, elapsed: 1016s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5819/6019, 5.7 task/s, elapsed: 1016s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5820/6019, 5.7 task/s, elapsed: 1016s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5821/6019, 5.7 task/s, elapsed: 1016s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5822/6019, 5.7 task/s, elapsed: 1016s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5823/6019, 5.7 task/s, elapsed: 1017s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5824/6019, 5.7 task/s, elapsed: 1017s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5825/6019, 5.7 task/s, elapsed: 1017s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5826/6019, 5.7 task/s, elapsed: 1017s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5827/6019, 5.7 task/s, elapsed: 1017s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5828/6019, 5.7 task/s, elapsed: 1017s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5829/6019, 5.7 task/s, elapsed: 1018s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5830/6019, 5.7 task/s, elapsed: 1018s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5831/6019, 5.7 task/s, elapsed: 1018s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5832/6019, 5.7 task/s, elapsed: 1018s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5833/6019, 5.7 task/s, elapsed: 1018s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5834/6019, 5.7 task/s, elapsed: 1018s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5835/6019, 5.7 task/s, elapsed: 1019s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5836/6019, 5.7 task/s, elapsed: 1019s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.7 task/s, elapsed: 1019s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.7 task/s, elapsed: 1019s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.7 task/s, elapsed: 1019s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.7 task/s, elapsed: 1020s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.7 task/s, elapsed: 1020s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5842/6019, 5.7 task/s, elapsed: 1020s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5843/6019, 5.7 task/s, elapsed: 1020s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5844/6019, 5.7 task/s, elapsed: 1020s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5845/6019, 5.7 task/s, elapsed: 1020s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5846/6019, 5.7 task/s, elapsed: 1021s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5847/6019, 5.7 task/s, elapsed: 1021s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5848/6019, 5.7 task/s, elapsed: 1021s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5849/6019, 5.7 task/s, elapsed: 1021s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5850/6019, 5.7 task/s, elapsed: 1021s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5851/6019, 5.7 task/s, elapsed: 1022s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5852/6019, 5.7 task/s, elapsed: 1022s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5853/6019, 5.7 task/s, elapsed: 1022s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5854/6019, 5.7 task/s, elapsed: 1022s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.7 task/s, elapsed: 1022s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.7 task/s, elapsed: 1022s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5857/6019, 5.7 task/s, elapsed: 1023s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5858/6019, 5.7 task/s, elapsed: 1023s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5859/6019, 5.7 task/s, elapsed: 1023s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5860/6019, 5.7 task/s, elapsed: 1023s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5861/6019, 5.7 task/s, elapsed: 1023s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5862/6019, 5.7 task/s, elapsed: 1024s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5863/6019, 5.7 task/s, elapsed: 1024s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5864/6019, 5.7 task/s, elapsed: 1024s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5865/6019, 5.7 task/s, elapsed: 1024s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5866/6019, 5.7 task/s, elapsed: 1024s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5867/6019, 5.7 task/s, elapsed: 1024s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5868/6019, 5.7 task/s, elapsed: 1025s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5869/6019, 5.7 task/s, elapsed: 1025s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5870/6019, 5.7 task/s, elapsed: 1025s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5871/6019, 5.7 task/s, elapsed: 1025s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5872/6019, 5.7 task/s, elapsed: 1025s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.7 task/s, elapsed: 1026s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.7 task/s, elapsed: 1026s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.7 task/s, elapsed: 1026s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.7 task/s, elapsed: 1026s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5877/6019, 5.7 task/s, elapsed: 1026s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5878/6019, 5.7 task/s, elapsed: 1026s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5879/6019, 5.7 task/s, elapsed: 1027s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5880/6019, 5.7 task/s, elapsed: 1027s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5881/6019, 5.7 task/s, elapsed: 1027s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5882/6019, 5.7 task/s, elapsed: 1027s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5883/6019, 5.7 task/s, elapsed: 1027s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5884/6019, 5.7 task/s, elapsed: 1027s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5885/6019, 5.7 task/s, elapsed: 1028s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5886/6019, 5.7 task/s, elapsed: 1028s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5887/6019, 5.7 task/s, elapsed: 1028s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5888/6019, 5.7 task/s, elapsed: 1028s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5889/6019, 5.7 task/s, elapsed: 1028s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5890/6019, 5.7 task/s, elapsed: 1029s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5891/6019, 5.7 task/s, elapsed: 1029s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5892/6019, 5.7 task/s, elapsed: 1029s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5893/6019, 5.7 task/s, elapsed: 1029s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5894/6019, 5.7 task/s, elapsed: 1029s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5895/6019, 5.7 task/s, elapsed: 1029s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5896/6019, 5.7 task/s, elapsed: 1030s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.7 task/s, elapsed: 1030s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.7 task/s, elapsed: 1030s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.7 task/s, elapsed: 1030s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.7 task/s, elapsed: 1030s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.7 task/s, elapsed: 1030s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.7 task/s, elapsed: 1031s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.7 task/s, elapsed: 1031s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.7 task/s, elapsed: 1031s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.7 task/s, elapsed: 1031s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.7 task/s, elapsed: 1031s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.7 task/s, elapsed: 1031s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.7 task/s, elapsed: 1032s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.7 task/s, elapsed: 1032s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.7 task/s, elapsed: 1032s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.7 task/s, elapsed: 1032s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.7 task/s, elapsed: 1032s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.7 task/s, elapsed: 1032s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.7 task/s, elapsed: 1033s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.7 task/s, elapsed: 1033s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.7 task/s, elapsed: 1033s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.7 task/s, elapsed: 1033s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.7 task/s, elapsed: 1033s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.7 task/s, elapsed: 1033s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.7 task/s, elapsed: 1034s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.7 task/s, elapsed: 1034s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.7 task/s, elapsed: 1034s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.7 task/s, elapsed: 1034s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.7 task/s, elapsed: 1034s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.7 task/s, elapsed: 1034s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.7 task/s, elapsed: 1035s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.7 task/s, elapsed: 1035s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.7 task/s, elapsed: 1035s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.7 task/s, elapsed: 1035s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.7 task/s, elapsed: 1035s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.7 task/s, elapsed: 1036s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.7 task/s, elapsed: 1036s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.7 task/s, elapsed: 1036s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.7 task/s, elapsed: 1036s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.7 task/s, elapsed: 1036s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.7 task/s, elapsed: 1036s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.7 task/s, elapsed: 1037s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.7 task/s, elapsed: 1037s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.7 task/s, elapsed: 1037s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.7 task/s, elapsed: 1037s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.7 task/s, elapsed: 1037s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.7 task/s, elapsed: 1037s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.7 task/s, elapsed: 1038s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.7 task/s, elapsed: 1038s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.7 task/s, elapsed: 1038s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.7 task/s, elapsed: 1038s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.7 task/s, elapsed: 1038s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.7 task/s, elapsed: 1039s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.7 task/s, elapsed: 1039s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.7 task/s, elapsed: 1039s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.7 task/s, elapsed: 1039s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.7 task/s, elapsed: 1039s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.7 task/s, elapsed: 1039s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.7 task/s, elapsed: 1040s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.7 task/s, elapsed: 1040s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.7 task/s, elapsed: 1040s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.7 task/s, elapsed: 1040s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.7 task/s, elapsed: 1040s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.7 task/s, elapsed: 1040s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.7 task/s, elapsed: 1041s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.7 task/s, elapsed: 1041s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.7 task/s, elapsed: 1041s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.7 task/s, elapsed: 1041s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.7 task/s, elapsed: 1041s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.7 task/s, elapsed: 1042s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.7 task/s, elapsed: 1042s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.7 task/s, elapsed: 1042s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.7 task/s, elapsed: 1042s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.7 task/s, elapsed: 1042s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.7 task/s, elapsed: 1042s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.7 task/s, elapsed: 1043s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.7 task/s, elapsed: 1043s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.7 task/s, elapsed: 1043s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.7 task/s, elapsed: 1043s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.7 task/s, elapsed: 1043s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.7 task/s, elapsed: 1043s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.7 task/s, elapsed: 1044s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.7 task/s, elapsed: 1044s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.7 task/s, elapsed: 1044s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.7 task/s, elapsed: 1044s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.7 task/s, elapsed: 1044s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.7 task/s, elapsed: 1045s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.7 task/s, elapsed: 1045s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.7 task/s, elapsed: 1045s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.7 task/s, elapsed: 1045s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.7 task/s, elapsed: 1045s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.7 task/s, elapsed: 1045s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.7 task/s, elapsed: 1046s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.7 task/s, elapsed: 1046s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.7 task/s, elapsed: 1046s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.7 task/s, elapsed: 1046s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.7 task/s, elapsed: 1046s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.7 task/s, elapsed: 1047s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.7 task/s, elapsed: 1047s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.7 task/s, elapsed: 1047s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.7 task/s, elapsed: 1047s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.7 task/s, elapsed: 1047s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.7 task/s, elapsed: 1047s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.7 task/s, elapsed: 1048s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.7 task/s, elapsed: 1048s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.7 task/s, elapsed: 1048s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.7 task/s, elapsed: 1048s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.7 task/s, elapsed: 1048s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.7 task/s, elapsed: 1049s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.7 task/s, elapsed: 1049s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.7 task/s, elapsed: 1049s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.7 task/s, elapsed: 1049s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.7 task/s, elapsed: 1049s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.7 task/s, elapsed: 1049s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.7 task/s, elapsed: 1050s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.7 task/s, elapsed: 1050s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.7 task/s, elapsed: 1050s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.7 task/s, elapsed: 1050s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.7 task/s, elapsed: 1050s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.7 task/s, elapsed: 1050s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.7 task/s, elapsed: 1051s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.7 task/s, elapsed: 1051s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.7 task/s, elapsed: 1051s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.7 task/s, elapsed: 1051s, ETA: 0s +Results writes to /tmp/tmp1sczr_cf/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 4.0 task/s, elapsed: 52s, ETA: 1459s [> ] 209/6019, 4.0 task/s, elapsed: 52s, ETA: 1456s [> ] 210/6019, 4.0 task/s, elapsed: 53s, ETA: 1454s [> ] 211/6019, 4.0 task/s, elapsed: 53s, ETA: 1451s [> ] 212/6019, 4.0 task/s, elapsed: 53s, ETA: 1449s [> ] 213/6019, 4.0 task/s, elapsed: 53s, ETA: 1446s [> ] 214/6019, 4.0 task/s, elapsed: 53s, ETA: 1444s [> ] 215/6019, 4.0 task/s, elapsed: 53s, ETA: 1441s [> ] 216/6019, 4.0 task/s, elapsed: 54s, ETA: 1439s [> ] 217/6019, 4.0 task/s, elapsed: 54s, ETA: 1437s [> ] 218/6019, 4.0 task/s, elapsed: 54s, ETA: 1434s [> ] 219/6019, 4.1 task/s, elapsed: 54s, ETA: 1432s [> ] 220/6019, 4.1 task/s, elapsed: 54s, ETA: 1430s [> ] 221/6019, 4.1 task/s, elapsed: 54s, ETA: 1428s [> ] 222/6019, 4.1 task/s, elapsed: 55s, ETA: 1425s [> ] 223/6019, 4.1 task/s, elapsed: 55s, ETA: 1423s [> ] 224/6019, 4.1 task/s, elapsed: 55s, ETA: 1421s [> ] 225/6019, 4.1 task/s, elapsed: 55s, ETA: 1419s [> ] 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] 1147/6019, 5.4 task/s, elapsed: 213s, ETA: 903s [>>>>> ] 1148/6019, 5.4 task/s, elapsed: 213s, ETA: 903s [>>>>> ] 1149/6019, 5.4 task/s, elapsed: 213s, ETA: 903s [>>>>> ] 1150/6019, 5.4 task/s, elapsed: 213s, ETA: 902s [>>>>> ] 1151/6019, 5.4 task/s, elapsed: 213s, ETA: 902s [>>>>> ] 1152/6019, 5.4 task/s, elapsed: 213s, ETA: 902s [>>>>> ] 1153/6019, 5.4 task/s, elapsed: 214s, ETA: 902s [>>>>> ] 1154/6019, 5.4 task/s, elapsed: 214s, ETA: 901s [>>>>> ] 1155/6019, 5.4 task/s, elapsed: 214s, ETA: 901s [>>>>> ] 1156/6019, 5.4 task/s, elapsed: 214s, ETA: 901s [>>>>> ] 1157/6019, 5.4 task/s, elapsed: 214s, ETA: 901s [>>>>> ] 1158/6019, 5.4 task/s, elapsed: 214s, ETA: 900s [>>>>> ] 1159/6019, 5.4 task/s, elapsed: 215s, ETA: 900s [>>>>> ] 1160/6019, 5.4 task/s, elapsed: 215s, ETA: 900s [>>>>> ] 1161/6019, 5.4 task/s, elapsed: 215s, ETA: 900s [>>>>> ] 1162/6019, 5.4 task/s, elapsed: 215s, ETA: 899s [>>>>> ] 1163/6019, 5.4 task/s, elapsed: 215s, ETA: 899s [>>>>> ] 1164/6019, 5.4 task/s, 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] 1182/6019, 5.4 task/s, elapsed: 218s, ETA: 894s [>>>>> ] 1183/6019, 5.4 task/s, elapsed: 219s, ETA: 894s [>>>>> ] 1184/6019, 5.4 task/s, elapsed: 219s, ETA: 893s [>>>>> ] 1185/6019, 5.4 task/s, elapsed: 219s, ETA: 893s [>>>>> ] 1186/6019, 5.4 task/s, elapsed: 219s, ETA: 893s [>>>>> ] 1187/6019, 5.4 task/s, elapsed: 219s, ETA: 893s [>>>>> ] 1188/6019, 5.4 task/s, elapsed: 219s, ETA: 892s [>>>>> ] 1189/6019, 5.4 task/s, elapsed: 220s, ETA: 892s [>>>>> ] 1190/6019, 5.4 task/s, elapsed: 220s, ETA: 892s [>>>>> ] 1191/6019, 5.4 task/s, elapsed: 220s, ETA: 892s [>>>>> ] 1192/6019, 5.4 task/s, elapsed: 220s, ETA: 891s [>>>>> ] 1193/6019, 5.4 task/s, elapsed: 220s, ETA: 891s [>>>>> ] 1194/6019, 5.4 task/s, elapsed: 220s, ETA: 891s [>>>>> ] 1195/6019, 5.4 task/s, elapsed: 221s, ETA: 891s [>>>>> ] 1196/6019, 5.4 task/s, elapsed: 221s, ETA: 891s [>>>>> ] 1197/6019, 5.4 task/s, elapsed: 221s, ETA: 890s [>>>>> ] 1198/6019, 5.4 task/s, elapsed: 221s, ETA: 890s [>>>>> ] 1199/6019, 5.4 task/s, 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] 1217/6019, 5.4 task/s, elapsed: 224s, ETA: 886s [>>>>> ] 1218/6019, 5.4 task/s, elapsed: 225s, ETA: 885s [>>>>> ] 1219/6019, 5.4 task/s, elapsed: 225s, ETA: 885s [>>>>> ] 1220/6019, 5.4 task/s, elapsed: 225s, ETA: 885s [>>>>> ] 1221/6019, 5.4 task/s, elapsed: 225s, ETA: 885s [>>>>> ] 1222/6019, 5.4 task/s, elapsed: 225s, ETA: 885s [>>>>> ] 1223/6019, 5.4 task/s, elapsed: 226s, ETA: 884s [>>>>> ] 1224/6019, 5.4 task/s, elapsed: 226s, ETA: 884s [>>>>> ] 1225/6019, 5.4 task/s, elapsed: 226s, ETA: 884s [>>>>> ] 1226/6019, 5.4 task/s, elapsed: 226s, ETA: 884s [>>>>> ] 1227/6019, 5.4 task/s, elapsed: 226s, ETA: 883s [>>>>> ] 1228/6019, 5.4 task/s, elapsed: 226s, ETA: 883s [>>>>> ] 1229/6019, 5.4 task/s, elapsed: 227s, ETA: 883s [>>>>> ] 1230/6019, 5.4 task/s, elapsed: 227s, ETA: 883s [>>>>> ] 1231/6019, 5.4 task/s, elapsed: 227s, ETA: 883s [>>>>> ] 1232/6019, 5.4 task/s, elapsed: 227s, ETA: 882s [>>>>> ] 1233/6019, 5.4 task/s, elapsed: 227s, ETA: 882s [>>>>> ] 1234/6019, 5.4 task/s, 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] 1252/6019, 5.4 task/s, elapsed: 230s, ETA: 877s [>>>>> ] 1253/6019, 5.4 task/s, elapsed: 231s, ETA: 877s [>>>>> ] 1254/6019, 5.4 task/s, elapsed: 231s, ETA: 877s [>>>>> ] 1255/6019, 5.4 task/s, elapsed: 231s, ETA: 876s [>>>>> ] 1256/6019, 5.4 task/s, elapsed: 231s, ETA: 876s [>>>>> ] 1257/6019, 5.4 task/s, elapsed: 231s, ETA: 876s [>>>>> ] 1258/6019, 5.4 task/s, elapsed: 231s, ETA: 876s [>>>>> ] 1259/6019, 5.4 task/s, elapsed: 232s, ETA: 875s [>>>>> ] 1260/6019, 5.4 task/s, elapsed: 232s, ETA: 875s [>>>>> ] 1261/6019, 5.4 task/s, elapsed: 232s, ETA: 875s [>>>>> ] 1262/6019, 5.4 task/s, elapsed: 232s, ETA: 875s [>>>>> ] 1263/6019, 5.4 task/s, elapsed: 232s, ETA: 874s [>>>>> ] 1264/6019, 5.4 task/s, elapsed: 232s, ETA: 874s [>>>>> ] 1265/6019, 5.4 task/s, elapsed: 233s, ETA: 874s [>>>>> ] 1266/6019, 5.4 task/s, elapsed: 233s, ETA: 874s [>>>>> ] 1267/6019, 5.4 task/s, elapsed: 233s, ETA: 873s [>>>>> ] 1268/6019, 5.4 task/s, elapsed: 233s, ETA: 873s [>>>>> ] 1269/6019, 5.4 task/s, 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] 1287/6019, 5.4 task/s, elapsed: 236s, ETA: 868s [>>>>> ] 1288/6019, 5.4 task/s, elapsed: 236s, ETA: 868s [>>>>> ] 1289/6019, 5.5 task/s, elapsed: 237s, ETA: 868s [>>>>> ] 1290/6019, 5.5 task/s, elapsed: 237s, ETA: 868s [>>>>> ] 1291/6019, 5.5 task/s, elapsed: 237s, ETA: 867s [>>>>> ] 1292/6019, 5.5 task/s, elapsed: 237s, ETA: 867s [>>>>> ] 1293/6019, 5.5 task/s, elapsed: 237s, ETA: 867s [>>>>> ] 1294/6019, 5.5 task/s, elapsed: 237s, ETA: 867s [>>>>> ] 1295/6019, 5.5 task/s, elapsed: 238s, ETA: 866s [>>>>> ] 1296/6019, 5.5 task/s, elapsed: 238s, ETA: 866s [>>>>> ] 1297/6019, 5.5 task/s, elapsed: 238s, ETA: 866s [>>>>> ] 1298/6019, 5.5 task/s, elapsed: 238s, ETA: 866s [>>>>> ] 1299/6019, 5.5 task/s, elapsed: 238s, ETA: 865s [>>>>> ] 1300/6019, 5.5 task/s, elapsed: 238s, ETA: 865s [>>>>> ] 1301/6019, 5.5 task/s, elapsed: 239s, ETA: 865s [>>>>> ] 1302/6019, 5.5 task/s, elapsed: 239s, ETA: 865s [>>>>> ] 1303/6019, 5.5 task/s, elapsed: 239s, ETA: 865s [>>>>> ] 1304/6019, 5.5 task/s, elapsed: 239s, ETA: 864s [>>>>> ] 1305/6019, 5.5 task/s, elapsed: 239s, ETA: 864s [>>>>> ] 1306/6019, 5.5 task/s, elapsed: 239s, ETA: 864s [>>>>> ] 1307/6019, 5.5 task/s, elapsed: 240s, ETA: 864s [>>>>> ] 1308/6019, 5.5 task/s, elapsed: 240s, ETA: 863s [>>>>> ] 1309/6019, 5.5 task/s, elapsed: 240s, ETA: 863s [>>>>> ] 1310/6019, 5.5 task/s, elapsed: 240s, ETA: 863s [>>>>> ] 1311/6019, 5.5 task/s, elapsed: 240s, ETA: 863s [>>>>> ] 1312/6019, 5.5 task/s, elapsed: 240s, ETA: 862s [>>>>> ] 1313/6019, 5.5 task/s, elapsed: 241s, ETA: 862s [>>>>> ] 1314/6019, 5.5 task/s, elapsed: 241s, ETA: 862s [>>>>> ] 1315/6019, 5.5 task/s, elapsed: 241s, ETA: 861s [>>>>> ] 1316/6019, 5.5 task/s, elapsed: 241s, ETA: 861s [>>>>> ] 1317/6019, 5.5 task/s, elapsed: 241s, ETA: 861s [>>>>> ] 1318/6019, 5.5 task/s, elapsed: 241s, ETA: 861s [>>>>> ] 1319/6019, 5.5 task/s, elapsed: 241s, ETA: 860s [>>>>> ] 1320/6019, 5.5 task/s, elapsed: 242s, ETA: 860s [>>>>> ] 1321/6019, 5.5 task/s, elapsed: 242s, ETA: 860s [>>>>> ] 1322/6019, 5.5 task/s, elapsed: 242s, ETA: 860s [>>>>> ] 1323/6019, 5.5 task/s, elapsed: 242s, ETA: 859s [>>>>> ] 1324/6019, 5.5 task/s, elapsed: 242s, ETA: 859s [>>>>> ] 1325/6019, 5.5 task/s, elapsed: 242s, ETA: 859s [>>>>> ] 1326/6019, 5.5 task/s, elapsed: 243s, ETA: 859s [>>>>> ] 1327/6019, 5.5 task/s, elapsed: 243s, ETA: 859s [>>>>> ] 1328/6019, 5.5 task/s, elapsed: 243s, ETA: 858s [>>>>> ] 1329/6019, 5.5 task/s, elapsed: 243s, ETA: 858s [>>>>> ] 1330/6019, 5.5 task/s, elapsed: 243s, ETA: 858s [>>>>> ] 1331/6019, 5.5 task/s, elapsed: 243s, ETA: 858s [>>>>> ] 1332/6019, 5.5 task/s, elapsed: 244s, ETA: 857s [>>>>> ] 1333/6019, 5.5 task/s, elapsed: 244s, ETA: 857s [>>>>> ] 1334/6019, 5.5 task/s, elapsed: 244s, ETA: 857s [>>>>> ] 1335/6019, 5.5 task/s, elapsed: 244s, ETA: 857s [>>>>> ] 1336/6019, 5.5 task/s, elapsed: 244s, ETA: 856s [>>>>> ] 1337/6019, 5.5 task/s, elapsed: 244s, ETA: 856s [>>>>>> ] 1338/6019, 5.5 task/s, elapsed: 245s, ETA: 856s [>>>>>> ] 1339/6019, 5.5 task/s, 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[>>>>>>>>> ] 2015/6019, 5.5 task/s, elapsed: 364s, ETA: 724s [>>>>>>>>> ] 2016/6019, 5.5 task/s, elapsed: 365s, ETA: 724s [>>>>>>>>> ] 2017/6019, 5.5 task/s, elapsed: 365s, ETA: 724s [>>>>>>>>> ] 2018/6019, 5.5 task/s, elapsed: 365s, ETA: 724s [>>>>>>>>> ] 2019/6019, 5.5 task/s, elapsed: 365s, ETA: 724s [>>>>>>>>> ] 2020/6019, 5.5 task/s, elapsed: 366s, ETA: 724s [>>>>>>>>> ] 2021/6019, 5.5 task/s, elapsed: 366s, ETA: 724s [>>>>>>>>> ] 2022/6019, 5.5 task/s, elapsed: 366s, ETA: 723s [>>>>>>>>> ] 2023/6019, 5.5 task/s, elapsed: 366s, ETA: 723s [>>>>>>>>> ] 2024/6019, 5.5 task/s, elapsed: 366s, ETA: 723s [>>>>>>>>> ] 2025/6019, 5.5 task/s, elapsed: 367s, ETA: 723s [>>>>>>>>> ] 2026/6019, 5.5 task/s, elapsed: 367s, ETA: 723s [>>>>>>>>> ] 2027/6019, 5.5 task/s, elapsed: 367s, ETA: 723s [>>>>>>>>> ] 2028/6019, 5.5 task/s, elapsed: 367s, ETA: 723s [>>>>>>>>> ] 2029/6019, 5.5 task/s, elapsed: 367s, ETA: 723s [>>>>>>>>> ] 2030/6019, 5.5 task/s, elapsed: 368s, ETA: 723s [>>>>>>>>> ] 2031/6019, 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] 3906/6019, 5.2 task/s, elapsed: 752s, ETA: 407s [>>>>>>>>>>>>>>>>> ] 3907/6019, 5.2 task/s, elapsed: 752s, ETA: 406s [>>>>>>>>>>>>>>>>> ] 3908/6019, 5.2 task/s, elapsed: 752s, ETA: 406s [>>>>>>>>>>>>>>>>> ] 3909/6019, 5.2 task/s, elapsed: 752s, ETA: 406s [>>>>>>>>>>>>>>>>> ] 3910/6019, 5.2 task/s, elapsed: 752s, ETA: 406s [>>>>>>>>>>>>>>>>> ] 3911/6019, 5.2 task/s, elapsed: 752s, ETA: 406s [>>>>>>>>>>>>>>>>> ] 3912/6019, 5.2 task/s, elapsed: 753s, ETA: 405s [>>>>>>>>>>>>>>>>> ] 3913/6019, 5.2 task/s, elapsed: 753s, ETA: 405s [>>>>>>>>>>>>>>>>> ] 3914/6019, 5.2 task/s, elapsed: 753s, ETA: 405s [>>>>>>>>>>>>>>>>> ] 3915/6019, 5.2 task/s, elapsed: 753s, ETA: 405s [>>>>>>>>>>>>>>>>> ] 3916/6019, 5.2 task/s, elapsed: 753s, ETA: 405s [>>>>>>>>>>>>>>>>> ] 3917/6019, 5.2 task/s, elapsed: 753s, ETA: 404s [>>>>>>>>>>>>>>>>> ] 3918/6019, 5.2 task/s, elapsed: 754s, ETA: 404s [>>>>>>>>>>>>>>>>> ] 3919/6019, 5.2 task/s, elapsed: 754s, ETA: 404s [>>>>>>>>>>>>>>>>> ] 3920/6019, 5.2 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.4 task/s, elapsed: 1101s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.4 task/s, elapsed: 1101s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.4 task/s, elapsed: 1101s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.4 task/s, elapsed: 1102s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.4 task/s, elapsed: 1102s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.4 task/s, elapsed: 1102s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.4 task/s, elapsed: 1102s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.4 task/s, elapsed: 1102s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.4 task/s, elapsed: 1102s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.4 task/s, elapsed: 1103s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.4 task/s, elapsed: 1103s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.4 task/s, elapsed: 1103s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.4 task/s, elapsed: 1103s, ETA: 17s 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writes to /tmp/tmppb8sfv2x/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 5.3 task/s, elapsed: 39s, ETA: 1097s [> ] 209/6019, 5.3 task/s, elapsed: 39s, ETA: 1097s [> ] 210/6019, 5.3 task/s, elapsed: 40s, ETA: 1097s [> ] 211/6019, 5.3 task/s, elapsed: 40s, ETA: 1097s [> ] 212/6019, 5.3 task/s, elapsed: 40s, ETA: 1097s [> ] 213/6019, 5.3 task/s, elapsed: 40s, ETA: 1097s [> ] 214/6019, 5.3 task/s, elapsed: 40s, ETA: 1096s [> ] 215/6019, 5.3 task/s, elapsed: 41s, ETA: 1096s [> ] 216/6019, 5.3 task/s, elapsed: 41s, ETA: 1096s [> ] 217/6019, 5.3 task/s, elapsed: 41s, ETA: 1096s [> ] 218/6019, 5.3 task/s, elapsed: 41s, ETA: 1096s [> ] 219/6019, 5.3 task/s, elapsed: 41s, ETA: 1096s [> ] 220/6019, 5.3 task/s, elapsed: 42s, ETA: 1096s [> ] 221/6019, 5.3 task/s, elapsed: 42s, ETA: 1096s [> ] 222/6019, 5.3 task/s, elapsed: 42s, ETA: 1096s [> ] 223/6019, 5.3 task/s, elapsed: 42s, ETA: 1095s [> ] 224/6019, 5.3 task/s, elapsed: 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] 952/6019, 5.2 task/s, elapsed: 182s, ETA: 969s [>>>> ] 953/6019, 5.2 task/s, elapsed: 182s, ETA: 969s [>>>> ] 954/6019, 5.2 task/s, elapsed: 183s, ETA: 969s [>>>> ] 955/6019, 5.2 task/s, elapsed: 183s, ETA: 969s [>>>> ] 956/6019, 5.2 task/s, elapsed: 183s, ETA: 969s [>>>> ] 957/6019, 5.2 task/s, elapsed: 183s, ETA: 969s [>>>> ] 958/6019, 5.2 task/s, elapsed: 183s, ETA: 969s [>>>> ] 959/6019, 5.2 task/s, elapsed: 184s, ETA: 968s [>>>> ] 960/6019, 5.2 task/s, elapsed: 184s, ETA: 968s [>>>> ] 961/6019, 5.2 task/s, elapsed: 184s, ETA: 968s [>>>> ] 962/6019, 5.2 task/s, elapsed: 184s, ETA: 968s [>>>> ] 963/6019, 5.2 task/s, elapsed: 184s, ETA: 968s [>>>> ] 964/6019, 5.2 task/s, elapsed: 185s, ETA: 968s [>>>> ] 965/6019, 5.2 task/s, elapsed: 185s, ETA: 967s [>>>> ] 966/6019, 5.2 task/s, elapsed: 185s, ETA: 967s [>>>> ] 967/6019, 5.2 task/s, elapsed: 185s, ETA: 967s [>>>> ] 968/6019, 5.2 task/s, elapsed: 185s, ETA: 967s [>>>> ] 969/6019, 5.2 task/s, elapsed: 186s, ETA: 967s [>>>> ] 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elapsed: 206s, ETA: 946s [>>>> ] 1078/6019, 5.2 task/s, elapsed: 206s, ETA: 945s [>>>> ] 1079/6019, 5.2 task/s, elapsed: 206s, ETA: 945s [>>>> ] 1080/6019, 5.2 task/s, elapsed: 207s, ETA: 945s [>>>> ] 1081/6019, 5.2 task/s, elapsed: 207s, ETA: 945s [>>>> ] 1082/6019, 5.2 task/s, elapsed: 207s, ETA: 945s [>>>> ] 1083/6019, 5.2 task/s, elapsed: 207s, ETA: 944s [>>>> ] 1084/6019, 5.2 task/s, elapsed: 207s, ETA: 944s [>>>> ] 1085/6019, 5.2 task/s, elapsed: 208s, ETA: 944s [>>>> ] 1086/6019, 5.2 task/s, elapsed: 208s, ETA: 944s [>>>> ] 1087/6019, 5.2 task/s, elapsed: 208s, ETA: 943s [>>>> ] 1088/6019, 5.2 task/s, elapsed: 208s, ETA: 943s [>>>> ] 1089/6019, 5.2 task/s, elapsed: 208s, ETA: 943s [>>>> ] 1090/6019, 5.2 task/s, elapsed: 208s, ETA: 943s [>>>> ] 1091/6019, 5.2 task/s, elapsed: 209s, ETA: 943s [>>>> ] 1092/6019, 5.2 task/s, elapsed: 209s, ETA: 942s [>>>> ] 1093/6019, 5.2 task/s, elapsed: 209s, ETA: 942s [>>>> ] 1094/6019, 5.2 task/s, elapsed: 209s, ETA: 942s [>>>> ] 1095/6019, 5.2 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[>>>>>>>> ] 1983/6019, 5.2 task/s, elapsed: 380s, ETA: 774s [>>>>>>>> ] 1984/6019, 5.2 task/s, elapsed: 381s, ETA: 774s [>>>>>>>> ] 1985/6019, 5.2 task/s, elapsed: 381s, ETA: 774s [>>>>>>>> ] 1986/6019, 5.2 task/s, elapsed: 381s, ETA: 774s [>>>>>>>> ] 1987/6019, 5.2 task/s, elapsed: 381s, ETA: 773s [>>>>>>>> ] 1988/6019, 5.2 task/s, elapsed: 381s, ETA: 773s [>>>>>>>> ] 1989/6019, 5.2 task/s, elapsed: 382s, ETA: 773s [>>>>>>>> ] 1990/6019, 5.2 task/s, elapsed: 382s, ETA: 773s [>>>>>>>> ] 1991/6019, 5.2 task/s, elapsed: 382s, ETA: 773s [>>>>>>>> ] 1992/6019, 5.2 task/s, elapsed: 382s, ETA: 773s [>>>>>>>> ] 1993/6019, 5.2 task/s, elapsed: 382s, ETA: 772s [>>>>>>>> ] 1994/6019, 5.2 task/s, elapsed: 383s, ETA: 772s [>>>>>>>> ] 1995/6019, 5.2 task/s, elapsed: 383s, ETA: 772s [>>>>>>>> ] 1996/6019, 5.2 task/s, elapsed: 383s, ETA: 772s [>>>>>>>> ] 1997/6019, 5.2 task/s, elapsed: 383s, ETA: 772s [>>>>>>>> ] 1998/6019, 5.2 task/s, elapsed: 383s, ETA: 771s [>>>>>>>> ] 1999/6019, 5.2 task/s, 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[>>>>>>>>> ] 2016/6019, 5.2 task/s, elapsed: 387s, ETA: 768s [>>>>>>>>> ] 2017/6019, 5.2 task/s, elapsed: 387s, ETA: 768s [>>>>>>>>> ] 2018/6019, 5.2 task/s, elapsed: 387s, ETA: 768s [>>>>>>>>> ] 2019/6019, 5.2 task/s, elapsed: 387s, ETA: 768s [>>>>>>>>> ] 2020/6019, 5.2 task/s, elapsed: 388s, ETA: 767s [>>>>>>>>> ] 2021/6019, 5.2 task/s, elapsed: 388s, ETA: 767s [>>>>>>>>> ] 2022/6019, 5.2 task/s, elapsed: 388s, ETA: 767s [>>>>>>>>> ] 2023/6019, 5.2 task/s, elapsed: 388s, ETA: 767s [>>>>>>>>> ] 2024/6019, 5.2 task/s, elapsed: 388s, ETA: 767s [>>>>>>>>> ] 2025/6019, 5.2 task/s, elapsed: 389s, ETA: 767s [>>>>>>>>> ] 2026/6019, 5.2 task/s, elapsed: 389s, ETA: 766s [>>>>>>>>> ] 2027/6019, 5.2 task/s, elapsed: 389s, ETA: 766s [>>>>>>>>> ] 2028/6019, 5.2 task/s, elapsed: 389s, ETA: 766s [>>>>>>>>> ] 2029/6019, 5.2 task/s, elapsed: 389s, ETA: 766s [>>>>>>>>> ] 2030/6019, 5.2 task/s, elapsed: 390s, ETA: 766s [>>>>>>>>> ] 2031/6019, 5.2 task/s, elapsed: 390s, ETA: 765s [>>>>>>>>> ] 2032/6019, 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[>>>>>>>>> ] 2114/6019, 5.2 task/s, elapsed: 406s, ETA: 750s [>>>>>>>>> ] 2115/6019, 5.2 task/s, elapsed: 406s, ETA: 749s [>>>>>>>>> ] 2116/6019, 5.2 task/s, elapsed: 406s, ETA: 749s [>>>>>>>>> ] 2117/6019, 5.2 task/s, elapsed: 406s, ETA: 749s [>>>>>>>>> ] 2118/6019, 5.2 task/s, elapsed: 407s, ETA: 749s [>>>>>>>>> ] 2119/6019, 5.2 task/s, elapsed: 407s, ETA: 749s [>>>>>>>>> ] 2120/6019, 5.2 task/s, elapsed: 407s, ETA: 748s [>>>>>>>>> ] 2121/6019, 5.2 task/s, elapsed: 407s, ETA: 748s [>>>>>>>>> ] 2122/6019, 5.2 task/s, elapsed: 407s, ETA: 748s [>>>>>>>>> ] 2123/6019, 5.2 task/s, elapsed: 408s, ETA: 748s [>>>>>>>>> ] 2124/6019, 5.2 task/s, elapsed: 408s, ETA: 748s [>>>>>>>>> ] 2125/6019, 5.2 task/s, elapsed: 408s, ETA: 747s [>>>>>>>>> ] 2126/6019, 5.2 task/s, elapsed: 408s, ETA: 747s [>>>>>>>>> ] 2127/6019, 5.2 task/s, elapsed: 408s, ETA: 747s [>>>>>>>>> ] 2128/6019, 5.2 task/s, elapsed: 408s, ETA: 747s [>>>>>>>>> ] 2129/6019, 5.2 task/s, elapsed: 409s, ETA: 747s [>>>>>>>>> ] 2130/6019, 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] 3994/6019, 5.2 task/s, elapsed: 773s, ETA: 392s [>>>>>>>>>>>>>>>>> ] 3995/6019, 5.2 task/s, elapsed: 773s, ETA: 392s [>>>>>>>>>>>>>>>>> ] 3996/6019, 5.2 task/s, elapsed: 773s, ETA: 391s [>>>>>>>>>>>>>>>>> ] 3997/6019, 5.2 task/s, elapsed: 773s, ETA: 391s [>>>>>>>>>>>>>>>>> ] 3998/6019, 5.2 task/s, elapsed: 774s, ETA: 391s [>>>>>>>>>>>>>>>>> ] 3999/6019, 5.2 task/s, elapsed: 774s, ETA: 391s [>>>>>>>>>>>>>>>>> ] 4000/6019, 5.2 task/s, elapsed: 774s, ETA: 391s [>>>>>>>>>>>>>>>>> ] 4001/6019, 5.2 task/s, elapsed: 774s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 4002/6019, 5.2 task/s, elapsed: 774s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 4003/6019, 5.2 task/s, elapsed: 775s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 4004/6019, 5.2 task/s, elapsed: 775s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 4005/6019, 5.2 task/s, elapsed: 775s, ETA: 390s [>>>>>>>>>>>>>>>>> ] 4006/6019, 5.2 task/s, elapsed: 775s, ETA: 389s [>>>>>>>>>>>>>>>>> ] 4007/6019, 5.2 task/s, elapsed: 775s, ETA: 389s [>>>>>>>>>>>>>>>>> ] 4008/6019, 5.2 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>> ] 4023/6019, 5.2 task/s, elapsed: 778s, ETA: 386s [>>>>>>>>>>>>>>>>>> ] 4024/6019, 5.2 task/s, elapsed: 779s, ETA: 386s [>>>>>>>>>>>>>>>>>> ] 4025/6019, 5.2 task/s, elapsed: 779s, ETA: 386s [>>>>>>>>>>>>>>>>>> ] 4026/6019, 5.2 task/s, elapsed: 779s, ETA: 386s [>>>>>>>>>>>>>>>>>> ] 4027/6019, 5.2 task/s, elapsed: 779s, ETA: 385s [>>>>>>>>>>>>>>>>>> ] 4028/6019, 5.2 task/s, elapsed: 779s, ETA: 385s [>>>>>>>>>>>>>>>>>> ] 4029/6019, 5.2 task/s, elapsed: 779s, ETA: 385s [>>>>>>>>>>>>>>>>>> ] 4030/6019, 5.2 task/s, elapsed: 780s, ETA: 385s [>>>>>>>>>>>>>>>>>> ] 4031/6019, 5.2 task/s, elapsed: 780s, ETA: 385s [>>>>>>>>>>>>>>>>>> ] 4032/6019, 5.2 task/s, elapsed: 780s, ETA: 384s [>>>>>>>>>>>>>>>>>> ] 4033/6019, 5.2 task/s, elapsed: 780s, ETA: 384s [>>>>>>>>>>>>>>>>>> ] 4034/6019, 5.2 task/s, elapsed: 780s, ETA: 384s [>>>>>>>>>>>>>>>>>> ] 4035/6019, 5.2 task/s, elapsed: 781s, ETA: 384s [>>>>>>>>>>>>>>>>>> ] 4036/6019, 5.2 task/s, elapsed: 781s, ETA: 384s [>>>>>>>>>>>>>>>>>> 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.2 task/s, elapsed: 1147s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.2 task/s, elapsed: 1148s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.2 task/s, elapsed: 1148s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.2 task/s, elapsed: 1148s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.2 task/s, elapsed: 1148s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.2 task/s, elapsed: 1148s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.2 task/s, elapsed: 1149s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.2 task/s, elapsed: 1149s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.2 task/s, elapsed: 1149s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.2 task/s, elapsed: 1149s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.2 task/s, elapsed: 1149s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.2 task/s, elapsed: 1150s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.2 task/s, elapsed: 1150s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.2 task/s, elapsed: 1150s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.2 task/s, elapsed: 1150s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.2 task/s, elapsed: 1150s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.2 task/s, elapsed: 1150s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.2 task/s, elapsed: 1151s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.2 task/s, elapsed: 1151s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.2 task/s, elapsed: 1151s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.2 task/s, elapsed: 1151s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.2 task/s, elapsed: 1151s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.2 task/s, elapsed: 1152s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.2 task/s, elapsed: 1152s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.2 task/s, elapsed: 1152s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.2 task/s, elapsed: 1153s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.2 task/s, elapsed: 1153s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.2 task/s, elapsed: 1153s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.2 task/s, elapsed: 1154s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.2 task/s, elapsed: 1154s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.2 task/s, elapsed: 1154s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.2 task/s, elapsed: 1154s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.2 task/s, elapsed: 1155s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.2 task/s, elapsed: 1155s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.2 task/s, elapsed: 1155s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.2 task/s, elapsed: 1155s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.2 task/s, elapsed: 1155s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.2 task/s, elapsed: 1156s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.2 task/s, elapsed: 1156s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.2 task/s, elapsed: 1156s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.2 task/s, elapsed: 1156s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.2 task/s, elapsed: 1156s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.2 task/s, elapsed: 1157s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.2 task/s, elapsed: 1157s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.2 task/s, elapsed: 1157s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.2 task/s, elapsed: 1157s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.2 task/s, elapsed: 1157s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.2 task/s, elapsed: 1158s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.2 task/s, elapsed: 1158s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.2 task/s, elapsed: 1158s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.2 task/s, elapsed: 1158s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.2 task/s, elapsed: 1158s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.2 task/s, elapsed: 1159s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.2 task/s, elapsed: 1159s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.2 task/s, elapsed: 1159s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.2 task/s, elapsed: 1159s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.2 task/s, elapsed: 1159s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.2 task/s, elapsed: 1160s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.2 task/s, elapsed: 1160s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.2 task/s, elapsed: 1160s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.2 task/s, elapsed: 1160s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.2 task/s, elapsed: 1160s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.2 task/s, elapsed: 1160s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.2 task/s, elapsed: 1161s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.2 task/s, elapsed: 1161s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.2 task/s, elapsed: 1161s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.2 task/s, elapsed: 1161s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.2 task/s, elapsed: 1161s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.2 task/s, elapsed: 1162s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.2 task/s, elapsed: 1162s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.2 task/s, elapsed: 1162s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.2 task/s, elapsed: 1162s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.2 task/s, elapsed: 1162s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.2 task/s, elapsed: 1163s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.2 task/s, elapsed: 1163s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.2 task/s, elapsed: 1163s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.2 task/s, elapsed: 1163s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.2 task/s, elapsed: 1163s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.2 task/s, elapsed: 1164s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.2 task/s, elapsed: 1164s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.2 task/s, elapsed: 1164s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.2 task/s, elapsed: 1164s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.2 task/s, elapsed: 1164s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.2 task/s, elapsed: 1165s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.2 task/s, elapsed: 1165s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.2 task/s, elapsed: 1165s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.2 task/s, elapsed: 1165s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.2 task/s, elapsed: 1166s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.2 task/s, elapsed: 1166s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.2 task/s, elapsed: 1166s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.2 task/s, elapsed: 1166s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.2 task/s, elapsed: 1166s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.2 task/s, elapsed: 1167s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.2 task/s, elapsed: 1167s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.2 task/s, elapsed: 1167s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.2 task/s, elapsed: 1167s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.2 task/s, elapsed: 1167s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.2 task/s, elapsed: 1168s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.2 task/s, elapsed: 1168s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.2 task/s, elapsed: 1168s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.2 task/s, elapsed: 1168s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.2 task/s, elapsed: 1168s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.2 task/s, elapsed: 1168s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.2 task/s, elapsed: 1169s, ETA: 0s +Results writes to /tmp/tmpjjloikef/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.0 task/s, elapsed: 35s, ETA: 973s [> ] 209/6019, 6.0 task/s, elapsed: 35s, ETA: 973s [> ] 210/6019, 6.0 task/s, elapsed: 35s, ETA: 973s [> ] 211/6019, 6.0 task/s, elapsed: 35s, ETA: 972s [> ] 212/6019, 6.0 task/s, elapsed: 35s, ETA: 972s [> ] 213/6019, 6.0 task/s, elapsed: 36s, ETA: 972s [> ] 214/6019, 6.0 task/s, elapsed: 36s, ETA: 972s [> ] 215/6019, 6.0 task/s, elapsed: 36s, ETA: 971s [> ] 216/6019, 6.0 task/s, elapsed: 36s, ETA: 971s [> ] 217/6019, 6.0 task/s, elapsed: 36s, ETA: 971s [> ] 218/6019, 6.0 task/s, elapsed: 36s, ETA: 971s [> ] 219/6019, 6.0 task/s, elapsed: 37s, ETA: 971s [> ] 220/6019, 6.0 task/s, elapsed: 37s, ETA: 971s [> ] 221/6019, 6.0 task/s, elapsed: 37s, ETA: 971s [> ] 222/6019, 6.0 task/s, elapsed: 37s, ETA: 971s [> ] 223/6019, 6.0 task/s, elapsed: 37s, ETA: 971s [> ] 224/6019, 6.0 task/s, elapsed: 38s, ETA: 971s [> 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] 3843/6019, 5.8 task/s, elapsed: 659s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3844/6019, 5.8 task/s, elapsed: 659s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3845/6019, 5.8 task/s, elapsed: 660s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3846/6019, 5.8 task/s, elapsed: 660s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3847/6019, 5.8 task/s, elapsed: 660s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3848/6019, 5.8 task/s, elapsed: 660s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3849/6019, 5.8 task/s, elapsed: 660s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3850/6019, 5.8 task/s, elapsed: 660s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3851/6019, 5.8 task/s, elapsed: 661s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.8 task/s, elapsed: 661s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.8 task/s, elapsed: 661s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.8 task/s, elapsed: 661s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.8 task/s, elapsed: 661s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.8 task/s, elapsed: 661s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.8 task/s, elapsed: 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] 3872/6019, 5.8 task/s, elapsed: 664s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3873/6019, 5.8 task/s, elapsed: 664s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3874/6019, 5.8 task/s, elapsed: 665s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3875/6019, 5.8 task/s, elapsed: 665s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3876/6019, 5.8 task/s, elapsed: 665s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3877/6019, 5.8 task/s, elapsed: 665s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3878/6019, 5.8 task/s, elapsed: 665s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3879/6019, 5.8 task/s, elapsed: 665s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3880/6019, 5.8 task/s, elapsed: 666s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.8 task/s, elapsed: 666s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.8 task/s, elapsed: 666s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3883/6019, 5.8 task/s, elapsed: 666s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3884/6019, 5.8 task/s, elapsed: 666s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3885/6019, 5.8 task/s, elapsed: 666s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3886/6019, 5.8 task/s, elapsed: 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] 3901/6019, 5.8 task/s, elapsed: 669s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3902/6019, 5.8 task/s, elapsed: 669s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3903/6019, 5.8 task/s, elapsed: 670s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3904/6019, 5.8 task/s, elapsed: 670s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3905/6019, 5.8 task/s, elapsed: 670s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3906/6019, 5.8 task/s, elapsed: 670s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3907/6019, 5.8 task/s, elapsed: 670s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3908/6019, 5.8 task/s, elapsed: 670s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3909/6019, 5.8 task/s, elapsed: 671s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3910/6019, 5.8 task/s, elapsed: 671s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3911/6019, 5.8 task/s, elapsed: 671s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3912/6019, 5.8 task/s, elapsed: 671s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3913/6019, 5.8 task/s, elapsed: 671s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3914/6019, 5.8 task/s, elapsed: 671s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3915/6019, 5.8 task/s, elapsed: 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] 4202/6019, 5.8 task/s, elapsed: 720s, ETA: 311s [>>>>>>>>>>>>>>>>>> ] 4203/6019, 5.8 task/s, elapsed: 720s, ETA: 311s [>>>>>>>>>>>>>>>>>> ] 4204/6019, 5.8 task/s, elapsed: 720s, ETA: 311s [>>>>>>>>>>>>>>>>>> ] 4205/6019, 5.8 task/s, elapsed: 720s, ETA: 311s [>>>>>>>>>>>>>>>>>> ] 4206/6019, 5.8 task/s, elapsed: 720s, ETA: 311s [>>>>>>>>>>>>>>>>>> ] 4207/6019, 5.8 task/s, elapsed: 721s, ETA: 310s [>>>>>>>>>>>>>>>>>> ] 4208/6019, 5.8 task/s, elapsed: 721s, ETA: 310s [>>>>>>>>>>>>>>>>>> ] 4209/6019, 5.8 task/s, elapsed: 721s, ETA: 310s [>>>>>>>>>>>>>>>>>> ] 4210/6019, 5.8 task/s, elapsed: 721s, ETA: 310s [>>>>>>>>>>>>>>>>>> ] 4211/6019, 5.8 task/s, elapsed: 721s, ETA: 310s [>>>>>>>>>>>>>>>>>> ] 4212/6019, 5.8 task/s, elapsed: 721s, ETA: 310s [>>>>>>>>>>>>>>>>>> ] 4213/6019, 5.8 task/s, elapsed: 722s, ETA: 309s [>>>>>>>>>>>>>>>>>> ] 4214/6019, 5.8 task/s, elapsed: 722s, ETA: 309s [>>>>>>>>>>>>>>>>>> ] 4215/6019, 5.8 task/s, elapsed: 722s, ETA: 309s [>>>>>>>>>>>>>>>>>> ] 4216/6019, 5.8 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] 5177/6019, 5.8 task/s, elapsed: 888s, ETA: 144s [>>>>>>>>>>>>>>>>>>>>>>> ] 5178/6019, 5.8 task/s, elapsed: 889s, ETA: 144s [>>>>>>>>>>>>>>>>>>>>>>> ] 5179/6019, 5.8 task/s, elapsed: 889s, ETA: 144s [>>>>>>>>>>>>>>>>>>>>>>> ] 5180/6019, 5.8 task/s, elapsed: 889s, ETA: 144s [>>>>>>>>>>>>>>>>>>>>>>> ] 5181/6019, 5.8 task/s, elapsed: 889s, ETA: 144s [>>>>>>>>>>>>>>>>>>>>>>> ] 5182/6019, 5.8 task/s, elapsed: 889s, ETA: 144s [>>>>>>>>>>>>>>>>>>>>>>> ] 5183/6019, 5.8 task/s, elapsed: 890s, ETA: 143s [>>>>>>>>>>>>>>>>>>>>>>> ] 5184/6019, 5.8 task/s, elapsed: 890s, ETA: 143s [>>>>>>>>>>>>>>>>>>>>>>> ] 5185/6019, 5.8 task/s, elapsed: 890s, ETA: 143s [>>>>>>>>>>>>>>>>>>>>>>> ] 5186/6019, 5.8 task/s, elapsed: 890s, ETA: 143s [>>>>>>>>>>>>>>>>>>>>>>> ] 5187/6019, 5.8 task/s, elapsed: 890s, ETA: 143s [>>>>>>>>>>>>>>>>>>>>>>> ] 5188/6019, 5.8 task/s, elapsed: 890s, ETA: 143s [>>>>>>>>>>>>>>>>>>>>>>> ] 5189/6019, 5.8 task/s, elapsed: 891s, ETA: 142s [>>>>>>>>>>>>>>>>>>>>>>> ] 5190/6019, 5.8 task/s, 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] 5217/6019, 5.8 task/s, elapsed: 895s, ETA: 138s [>>>>>>>>>>>>>>>>>>>>>>> ] 5218/6019, 5.8 task/s, elapsed: 896s, ETA: 137s [>>>>>>>>>>>>>>>>>>>>>>> ] 5219/6019, 5.8 task/s, elapsed: 896s, ETA: 137s [>>>>>>>>>>>>>>>>>>>>>>> ] 5220/6019, 5.8 task/s, elapsed: 896s, ETA: 137s [>>>>>>>>>>>>>>>>>>>>>>> ] 5221/6019, 5.8 task/s, elapsed: 896s, ETA: 137s [>>>>>>>>>>>>>>>>>>>>>>> ] 5222/6019, 5.8 task/s, elapsed: 896s, ETA: 137s [>>>>>>>>>>>>>>>>>>>>>>> ] 5223/6019, 5.8 task/s, elapsed: 896s, ETA: 137s [>>>>>>>>>>>>>>>>>>>>>>> ] 5224/6019, 5.8 task/s, elapsed: 897s, ETA: 136s [>>>>>>>>>>>>>>>>>>>>>>> ] 5225/6019, 5.8 task/s, elapsed: 897s, ETA: 136s [>>>>>>>>>>>>>>>>>>>>>>> ] 5226/6019, 5.8 task/s, elapsed: 897s, ETA: 136s [>>>>>>>>>>>>>>>>>>>>>>> ] 5227/6019, 5.8 task/s, elapsed: 897s, ETA: 136s [>>>>>>>>>>>>>>>>>>>>>>> ] 5228/6019, 5.8 task/s, elapsed: 897s, ETA: 136s [>>>>>>>>>>>>>>>>>>>>>>> ] 5229/6019, 5.8 task/s, elapsed: 897s, ETA: 136s [>>>>>>>>>>>>>>>>>>>>>>> ] 5230/6019, 5.8 task/s, 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] 5257/6019, 5.8 task/s, elapsed: 902s, ETA: 131s [>>>>>>>>>>>>>>>>>>>>>>> ] 5258/6019, 5.8 task/s, elapsed: 902s, ETA: 131s [>>>>>>>>>>>>>>>>>>>>>>> ] 5259/6019, 5.8 task/s, elapsed: 902s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5260/6019, 5.8 task/s, elapsed: 903s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5261/6019, 5.8 task/s, elapsed: 903s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5262/6019, 5.8 task/s, elapsed: 903s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5263/6019, 5.8 task/s, elapsed: 903s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5264/6019, 5.8 task/s, elapsed: 903s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5265/6019, 5.8 task/s, elapsed: 903s, ETA: 129s [>>>>>>>>>>>>>>>>>>>>>>> ] 5266/6019, 5.8 task/s, elapsed: 904s, ETA: 129s [>>>>>>>>>>>>>>>>>>>>>>> ] 5267/6019, 5.8 task/s, elapsed: 904s, ETA: 129s [>>>>>>>>>>>>>>>>>>>>>>> ] 5268/6019, 5.8 task/s, elapsed: 904s, ETA: 129s [>>>>>>>>>>>>>>>>>>>>>>> ] 5269/6019, 5.8 task/s, elapsed: 904s, ETA: 129s [>>>>>>>>>>>>>>>>>>>>>>> ] 5270/6019, 5.8 task/s, 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] 5535/6019, 5.8 task/s, elapsed: 950s, ETA: 83s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5536/6019, 5.8 task/s, elapsed: 950s, ETA: 83s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5537/6019, 5.8 task/s, elapsed: 951s, ETA: 83s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5538/6019, 5.8 task/s, elapsed: 951s, ETA: 83s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5539/6019, 5.8 task/s, elapsed: 951s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5540/6019, 5.8 task/s, elapsed: 951s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5541/6019, 5.8 task/s, elapsed: 951s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5542/6019, 5.8 task/s, elapsed: 951s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5543/6019, 5.8 task/s, elapsed: 952s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5544/6019, 5.8 task/s, elapsed: 952s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5545/6019, 5.8 task/s, elapsed: 952s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5546/6019, 5.8 task/s, elapsed: 952s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5547/6019, 5.8 task/s, elapsed: 952s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5548/6019, 5.8 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5731/6019, 5.8 task/s, elapsed: 985s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5732/6019, 5.8 task/s, elapsed: 985s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5733/6019, 5.8 task/s, elapsed: 985s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5734/6019, 5.8 task/s, elapsed: 985s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5735/6019, 5.8 task/s, elapsed: 986s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5736/6019, 5.8 task/s, elapsed: 986s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5737/6019, 5.8 task/s, elapsed: 986s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5738/6019, 5.8 task/s, elapsed: 986s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5739/6019, 5.8 task/s, elapsed: 986s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5740/6019, 5.8 task/s, elapsed: 986s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5741/6019, 5.8 task/s, elapsed: 987s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5742/6019, 5.8 task/s, elapsed: 987s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5743/6019, 5.8 task/s, elapsed: 987s, ETA: 47s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5809/6019, 5.8 task/s, elapsed: 1003s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5810/6019, 5.8 task/s, elapsed: 1003s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5811/6019, 5.8 task/s, elapsed: 1003s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5812/6019, 5.8 task/s, elapsed: 1004s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5813/6019, 5.8 task/s, elapsed: 1004s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5814/6019, 5.8 task/s, elapsed: 1004s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5815/6019, 5.8 task/s, elapsed: 1004s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5816/6019, 5.8 task/s, elapsed: 1004s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5817/6019, 5.8 task/s, elapsed: 1004s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5818/6019, 5.8 task/s, elapsed: 1005s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5819/6019, 5.8 task/s, elapsed: 1005s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5820/6019, 5.8 task/s, elapsed: 1005s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5821/6019, 5.8 task/s, elapsed: 1005s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5822/6019, 5.8 task/s, elapsed: 1005s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5823/6019, 5.8 task/s, elapsed: 1006s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5824/6019, 5.8 task/s, elapsed: 1006s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5825/6019, 5.8 task/s, elapsed: 1006s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5826/6019, 5.8 task/s, elapsed: 1006s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5827/6019, 5.8 task/s, elapsed: 1006s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5828/6019, 5.8 task/s, elapsed: 1006s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5829/6019, 5.8 task/s, elapsed: 1007s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5830/6019, 5.8 task/s, elapsed: 1007s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5831/6019, 5.8 task/s, elapsed: 1007s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5832/6019, 5.8 task/s, elapsed: 1007s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5833/6019, 5.8 task/s, elapsed: 1007s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5834/6019, 5.8 task/s, elapsed: 1008s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5835/6019, 5.8 task/s, elapsed: 1008s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5836/6019, 5.8 task/s, elapsed: 1008s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.8 task/s, elapsed: 1008s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.8 task/s, elapsed: 1008s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.8 task/s, elapsed: 1008s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.8 task/s, elapsed: 1009s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.8 task/s, elapsed: 1009s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5842/6019, 5.8 task/s, elapsed: 1009s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5843/6019, 5.8 task/s, elapsed: 1009s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5844/6019, 5.8 task/s, elapsed: 1009s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5845/6019, 5.8 task/s, elapsed: 1009s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5846/6019, 5.8 task/s, elapsed: 1010s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5847/6019, 5.8 task/s, elapsed: 1010s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5848/6019, 5.8 task/s, elapsed: 1010s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5849/6019, 5.8 task/s, elapsed: 1010s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5850/6019, 5.8 task/s, elapsed: 1010s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5851/6019, 5.8 task/s, elapsed: 1011s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5852/6019, 5.8 task/s, elapsed: 1011s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5853/6019, 5.8 task/s, elapsed: 1011s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5854/6019, 5.8 task/s, elapsed: 1011s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.8 task/s, elapsed: 1011s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.8 task/s, elapsed: 1011s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5857/6019, 5.8 task/s, elapsed: 1012s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5858/6019, 5.8 task/s, elapsed: 1012s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5859/6019, 5.8 task/s, elapsed: 1012s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5860/6019, 5.8 task/s, elapsed: 1012s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5861/6019, 5.8 task/s, elapsed: 1012s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5862/6019, 5.8 task/s, elapsed: 1013s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5863/6019, 5.8 task/s, elapsed: 1013s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5864/6019, 5.8 task/s, elapsed: 1013s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5865/6019, 5.8 task/s, elapsed: 1013s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5866/6019, 5.8 task/s, elapsed: 1013s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5867/6019, 5.8 task/s, elapsed: 1013s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5868/6019, 5.8 task/s, elapsed: 1014s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5869/6019, 5.8 task/s, elapsed: 1014s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5870/6019, 5.8 task/s, elapsed: 1014s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5871/6019, 5.8 task/s, elapsed: 1014s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5872/6019, 5.8 task/s, elapsed: 1014s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.8 task/s, elapsed: 1014s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.8 task/s, elapsed: 1015s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.8 task/s, elapsed: 1015s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.8 task/s, elapsed: 1015s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5877/6019, 5.8 task/s, elapsed: 1015s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5878/6019, 5.8 task/s, elapsed: 1015s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5879/6019, 5.8 task/s, elapsed: 1016s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5880/6019, 5.8 task/s, elapsed: 1016s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5881/6019, 5.8 task/s, elapsed: 1016s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5882/6019, 5.8 task/s, elapsed: 1016s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5883/6019, 5.8 task/s, elapsed: 1016s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5884/6019, 5.8 task/s, elapsed: 1016s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5885/6019, 5.8 task/s, elapsed: 1017s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5886/6019, 5.8 task/s, elapsed: 1017s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5887/6019, 5.8 task/s, elapsed: 1017s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5888/6019, 5.8 task/s, elapsed: 1017s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5889/6019, 5.8 task/s, elapsed: 1017s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5890/6019, 5.8 task/s, elapsed: 1018s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5891/6019, 5.8 task/s, elapsed: 1018s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5892/6019, 5.8 task/s, elapsed: 1018s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5893/6019, 5.8 task/s, elapsed: 1018s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5894/6019, 5.8 task/s, elapsed: 1018s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5895/6019, 5.8 task/s, elapsed: 1018s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5896/6019, 5.8 task/s, elapsed: 1019s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.8 task/s, elapsed: 1019s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.8 task/s, elapsed: 1019s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.8 task/s, elapsed: 1019s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.8 task/s, elapsed: 1019s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.8 task/s, elapsed: 1019s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.8 task/s, elapsed: 1020s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.8 task/s, elapsed: 1020s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.8 task/s, elapsed: 1020s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.8 task/s, elapsed: 1020s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.8 task/s, elapsed: 1020s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.8 task/s, elapsed: 1020s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.8 task/s, elapsed: 1021s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.8 task/s, elapsed: 1021s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.8 task/s, elapsed: 1021s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.8 task/s, elapsed: 1021s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.8 task/s, elapsed: 1021s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.8 task/s, elapsed: 1022s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.8 task/s, elapsed: 1022s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.8 task/s, elapsed: 1022s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.8 task/s, elapsed: 1022s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.8 task/s, elapsed: 1022s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.8 task/s, elapsed: 1022s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.8 task/s, elapsed: 1023s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.8 task/s, elapsed: 1023s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.8 task/s, elapsed: 1023s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.8 task/s, elapsed: 1023s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.8 task/s, elapsed: 1023s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.8 task/s, elapsed: 1024s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.8 task/s, elapsed: 1024s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.8 task/s, elapsed: 1024s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.8 task/s, elapsed: 1024s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.8 task/s, elapsed: 1024s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.8 task/s, elapsed: 1024s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.8 task/s, elapsed: 1025s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.8 task/s, elapsed: 1025s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.8 task/s, elapsed: 1025s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.8 task/s, elapsed: 1025s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.8 task/s, elapsed: 1025s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.8 task/s, elapsed: 1025s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.8 task/s, elapsed: 1026s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.8 task/s, elapsed: 1026s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.8 task/s, elapsed: 1026s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.8 task/s, elapsed: 1026s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.8 task/s, elapsed: 1026s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.8 task/s, elapsed: 1027s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.8 task/s, elapsed: 1027s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.8 task/s, elapsed: 1027s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.8 task/s, elapsed: 1027s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.8 task/s, elapsed: 1027s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.8 task/s, elapsed: 1027s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.8 task/s, elapsed: 1028s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.8 task/s, elapsed: 1028s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.8 task/s, elapsed: 1028s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.8 task/s, elapsed: 1028s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.8 task/s, elapsed: 1028s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.8 task/s, elapsed: 1029s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.8 task/s, elapsed: 1029s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.8 task/s, elapsed: 1029s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.8 task/s, elapsed: 1029s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.8 task/s, elapsed: 1029s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.8 task/s, elapsed: 1029s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.8 task/s, elapsed: 1030s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.8 task/s, elapsed: 1030s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.8 task/s, elapsed: 1030s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.8 task/s, elapsed: 1030s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.8 task/s, elapsed: 1030s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.8 task/s, elapsed: 1030s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.8 task/s, elapsed: 1031s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.8 task/s, elapsed: 1031s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.8 task/s, elapsed: 1031s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.8 task/s, elapsed: 1031s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.8 task/s, elapsed: 1031s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.8 task/s, elapsed: 1032s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.8 task/s, elapsed: 1032s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.8 task/s, elapsed: 1032s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.8 task/s, elapsed: 1032s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.8 task/s, elapsed: 1032s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.8 task/s, elapsed: 1032s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.8 task/s, elapsed: 1033s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.8 task/s, elapsed: 1033s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.8 task/s, elapsed: 1033s, ETA: 7s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.8 task/s, elapsed: 1035s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.8 task/s, elapsed: 1036s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.8 task/s, elapsed: 1036s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.8 task/s, elapsed: 1036s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.8 task/s, elapsed: 1036s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.8 task/s, elapsed: 1036s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.8 task/s, elapsed: 1037s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.8 task/s, elapsed: 1037s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.8 task/s, elapsed: 1037s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.8 task/s, elapsed: 1037s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.8 task/s, elapsed: 1037s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.8 task/s, elapsed: 1037s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.8 task/s, elapsed: 1038s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.8 task/s, elapsed: 1038s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.8 task/s, elapsed: 1038s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.8 task/s, elapsed: 1038s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.8 task/s, elapsed: 1038s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.8 task/s, elapsed: 1038s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.8 task/s, elapsed: 1039s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.8 task/s, elapsed: 1039s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.8 task/s, elapsed: 1039s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.8 task/s, elapsed: 1039s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.8 task/s, elapsed: 1039s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.8 task/s, elapsed: 1040s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.8 task/s, elapsed: 1040s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.8 task/s, elapsed: 1040s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.8 task/s, elapsed: 1040s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.8 task/s, elapsed: 1040s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.8 task/s, elapsed: 1040s, ETA: 0s +Results writes to /tmp/tmpgudtzlqw/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.0 task/s, elapsed: 35s, ETA: 974s [> ] 209/6019, 6.0 task/s, elapsed: 35s, ETA: 974s [> ] 210/6019, 6.0 task/s, elapsed: 35s, ETA: 973s [> ] 211/6019, 6.0 task/s, elapsed: 35s, ETA: 973s [> ] 212/6019, 6.0 task/s, elapsed: 36s, ETA: 973s [> ] 213/6019, 6.0 task/s, elapsed: 36s, ETA: 973s [> ] 214/6019, 6.0 task/s, elapsed: 36s, ETA: 973s [> ] 215/6019, 6.0 task/s, elapsed: 36s, ETA: 972s [> ] 216/6019, 6.0 task/s, elapsed: 36s, ETA: 972s [> ] 217/6019, 6.0 task/s, elapsed: 36s, ETA: 972s [> ] 218/6019, 6.0 task/s, elapsed: 37s, ETA: 972s [> ] 219/6019, 6.0 task/s, elapsed: 37s, ETA: 972s [> ] 220/6019, 6.0 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] 1705/6019, 5.8 task/s, elapsed: 293s, ETA: 741s [>>>>>>> ] 1706/6019, 5.8 task/s, elapsed: 293s, ETA: 740s [>>>>>>> ] 1707/6019, 5.8 task/s, elapsed: 293s, ETA: 740s [>>>>>>> ] 1708/6019, 5.8 task/s, elapsed: 293s, ETA: 740s [>>>>>>> ] 1709/6019, 5.8 task/s, elapsed: 293s, ETA: 740s [>>>>>>> ] 1710/6019, 5.8 task/s, elapsed: 294s, ETA: 740s [>>>>>>> ] 1711/6019, 5.8 task/s, elapsed: 294s, ETA: 740s [>>>>>>> ] 1712/6019, 5.8 task/s, elapsed: 294s, ETA: 740s [>>>>>>> ] 1713/6019, 5.8 task/s, elapsed: 294s, ETA: 739s [>>>>>>> ] 1714/6019, 5.8 task/s, elapsed: 294s, ETA: 739s [>>>>>>> ] 1715/6019, 5.8 task/s, elapsed: 295s, ETA: 739s [>>>>>>> ] 1716/6019, 5.8 task/s, elapsed: 295s, ETA: 739s [>>>>>>> ] 1717/6019, 5.8 task/s, elapsed: 295s, ETA: 739s [>>>>>>> ] 1718/6019, 5.8 task/s, elapsed: 295s, ETA: 739s [>>>>>>> ] 1719/6019, 5.8 task/s, elapsed: 295s, ETA: 739s [>>>>>>> ] 1720/6019, 5.8 task/s, elapsed: 295s, ETA: 738s [>>>>>>> ] 1721/6019, 5.8 task/s, elapsed: 296s, ETA: 738s 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] 3839/6019, 5.8 task/s, elapsed: 666s, ETA: 378s [>>>>>>>>>>>>>>>>> ] 3840/6019, 5.8 task/s, elapsed: 666s, ETA: 378s [>>>>>>>>>>>>>>>>> ] 3841/6019, 5.8 task/s, elapsed: 666s, ETA: 378s [>>>>>>>>>>>>>>>>> ] 3842/6019, 5.8 task/s, elapsed: 666s, ETA: 378s [>>>>>>>>>>>>>>>>> ] 3843/6019, 5.8 task/s, elapsed: 666s, ETA: 377s [>>>>>>>>>>>>>>>>> ] 3844/6019, 5.8 task/s, elapsed: 667s, ETA: 377s [>>>>>>>>>>>>>>>>> ] 3845/6019, 5.8 task/s, elapsed: 667s, ETA: 377s [>>>>>>>>>>>>>>>>> ] 3846/6019, 5.8 task/s, elapsed: 667s, ETA: 377s [>>>>>>>>>>>>>>>>> ] 3847/6019, 5.8 task/s, elapsed: 667s, ETA: 377s [>>>>>>>>>>>>>>>>> ] 3848/6019, 5.8 task/s, elapsed: 667s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3849/6019, 5.8 task/s, elapsed: 667s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3850/6019, 5.8 task/s, elapsed: 668s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3851/6019, 5.8 task/s, elapsed: 668s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.8 task/s, elapsed: 668s, ETA: 376s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.8 task/s, elapsed: 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] 4027/6019, 5.8 task/s, elapsed: 697s, ETA: 345s [>>>>>>>>>>>>>>>>>> ] 4028/6019, 5.8 task/s, elapsed: 697s, ETA: 345s [>>>>>>>>>>>>>>>>>> ] 4029/6019, 5.8 task/s, elapsed: 698s, ETA: 345s [>>>>>>>>>>>>>>>>>> ] 4030/6019, 5.8 task/s, elapsed: 698s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4031/6019, 5.8 task/s, elapsed: 698s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4032/6019, 5.8 task/s, elapsed: 698s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4033/6019, 5.8 task/s, elapsed: 698s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4034/6019, 5.8 task/s, elapsed: 699s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4035/6019, 5.8 task/s, elapsed: 699s, ETA: 344s [>>>>>>>>>>>>>>>>>> ] 4036/6019, 5.8 task/s, elapsed: 699s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4037/6019, 5.8 task/s, elapsed: 699s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4038/6019, 5.8 task/s, elapsed: 699s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4039/6019, 5.8 task/s, elapsed: 699s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4040/6019, 5.8 task/s, elapsed: 700s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4041/6019, 5.8 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] 5320/6019, 5.8 task/s, elapsed: 922s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5321/6019, 5.8 task/s, elapsed: 922s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5322/6019, 5.8 task/s, elapsed: 922s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5323/6019, 5.8 task/s, elapsed: 922s, ETA: 121s [>>>>>>>>>>>>>>>>>>>>>>> ] 5324/6019, 5.8 task/s, elapsed: 922s, ETA: 120s [>>>>>>>>>>>>>>>>>>>>>>> ] 5325/6019, 5.8 task/s, elapsed: 923s, ETA: 120s [>>>>>>>>>>>>>>>>>>>>>>> ] 5326/6019, 5.8 task/s, elapsed: 923s, ETA: 120s [>>>>>>>>>>>>>>>>>>>>>>> ] 5327/6019, 5.8 task/s, elapsed: 923s, ETA: 120s [>>>>>>>>>>>>>>>>>>>>>>> ] 5328/6019, 5.8 task/s, elapsed: 923s, ETA: 120s [>>>>>>>>>>>>>>>>>>>>>>> ] 5329/6019, 5.8 task/s, elapsed: 923s, ETA: 120s [>>>>>>>>>>>>>>>>>>>>>>> ] 5330/6019, 5.8 task/s, elapsed: 924s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5331/6019, 5.8 task/s, elapsed: 924s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5332/6019, 5.8 task/s, elapsed: 924s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5333/6019, 5.8 task/s, 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] 5464/6019, 5.8 task/s, elapsed: 947s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5465/6019, 5.8 task/s, elapsed: 947s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5466/6019, 5.8 task/s, elapsed: 947s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5467/6019, 5.8 task/s, elapsed: 947s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5468/6019, 5.8 task/s, elapsed: 948s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5469/6019, 5.8 task/s, elapsed: 948s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5470/6019, 5.8 task/s, elapsed: 948s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5471/6019, 5.8 task/s, elapsed: 948s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5472/6019, 5.8 task/s, elapsed: 948s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5473/6019, 5.8 task/s, elapsed: 949s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5474/6019, 5.8 task/s, elapsed: 949s, ETA: 94s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5475/6019, 5.8 task/s, elapsed: 949s, ETA: 94s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5476/6019, 5.8 task/s, elapsed: 949s, ETA: 94s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5477/6019, 5.8 task/s, 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] 5504/6019, 5.8 task/s, elapsed: 954s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5505/6019, 5.8 task/s, elapsed: 954s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5506/6019, 5.8 task/s, elapsed: 954s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5507/6019, 5.8 task/s, elapsed: 954s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5508/6019, 5.8 task/s, elapsed: 955s, ETA: 89s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5509/6019, 5.8 task/s, elapsed: 955s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5510/6019, 5.8 task/s, elapsed: 955s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5511/6019, 5.8 task/s, elapsed: 955s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5512/6019, 5.8 task/s, elapsed: 955s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5513/6019, 5.8 task/s, elapsed: 956s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5514/6019, 5.8 task/s, elapsed: 956s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5515/6019, 5.8 task/s, elapsed: 956s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5516/6019, 5.8 task/s, elapsed: 956s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5517/6019, 5.8 task/s, 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] 5544/6019, 5.8 task/s, elapsed: 961s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5545/6019, 5.8 task/s, elapsed: 961s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5546/6019, 5.8 task/s, elapsed: 961s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5547/6019, 5.8 task/s, elapsed: 962s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5548/6019, 5.8 task/s, elapsed: 962s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5549/6019, 5.8 task/s, elapsed: 962s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5550/6019, 5.8 task/s, elapsed: 962s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5551/6019, 5.8 task/s, elapsed: 962s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5552/6019, 5.8 task/s, elapsed: 962s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5553/6019, 5.8 task/s, elapsed: 963s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5554/6019, 5.8 task/s, elapsed: 963s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5555/6019, 5.8 task/s, elapsed: 963s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5556/6019, 5.8 task/s, elapsed: 963s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5557/6019, 5.8 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>> ] 5766/6019, 5.8 task/s, elapsed: 1000s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5767/6019, 5.8 task/s, elapsed: 1000s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5768/6019, 5.8 task/s, elapsed: 1000s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5769/6019, 5.8 task/s, elapsed: 1000s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5770/6019, 5.8 task/s, elapsed: 1001s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5771/6019, 5.8 task/s, elapsed: 1001s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5772/6019, 5.8 task/s, elapsed: 1001s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5773/6019, 5.8 task/s, elapsed: 1001s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5774/6019, 5.8 task/s, elapsed: 1001s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5775/6019, 5.8 task/s, elapsed: 1001s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5776/6019, 5.8 task/s, elapsed: 1002s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5777/6019, 5.8 task/s, elapsed: 1002s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5778/6019, 5.8 task/s, elapsed: 1002s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5779/6019, 5.8 task/s, elapsed: 1002s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5780/6019, 5.8 task/s, elapsed: 1002s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5781/6019, 5.8 task/s, elapsed: 1002s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5782/6019, 5.8 task/s, elapsed: 1003s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5783/6019, 5.8 task/s, elapsed: 1003s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5784/6019, 5.8 task/s, elapsed: 1003s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5785/6019, 5.8 task/s, elapsed: 1003s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5786/6019, 5.8 task/s, elapsed: 1003s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5787/6019, 5.8 task/s, elapsed: 1003s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5788/6019, 5.8 task/s, elapsed: 1004s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5789/6019, 5.8 task/s, elapsed: 1004s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5790/6019, 5.8 task/s, elapsed: 1004s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5791/6019, 5.8 task/s, elapsed: 1004s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5792/6019, 5.8 task/s, elapsed: 1004s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5793/6019, 5.8 task/s, elapsed: 1005s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5794/6019, 5.8 task/s, elapsed: 1005s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5795/6019, 5.8 task/s, elapsed: 1005s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5796/6019, 5.8 task/s, elapsed: 1005s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5797/6019, 5.8 task/s, elapsed: 1005s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5798/6019, 5.8 task/s, elapsed: 1005s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5799/6019, 5.8 task/s, elapsed: 1006s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5800/6019, 5.8 task/s, elapsed: 1006s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5801/6019, 5.8 task/s, elapsed: 1006s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5802/6019, 5.8 task/s, elapsed: 1006s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5803/6019, 5.8 task/s, elapsed: 1006s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5804/6019, 5.8 task/s, elapsed: 1006s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5805/6019, 5.8 task/s, elapsed: 1007s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5806/6019, 5.8 task/s, elapsed: 1007s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5807/6019, 5.8 task/s, elapsed: 1007s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5808/6019, 5.8 task/s, elapsed: 1007s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5809/6019, 5.8 task/s, elapsed: 1007s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5810/6019, 5.8 task/s, elapsed: 1008s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5811/6019, 5.8 task/s, elapsed: 1008s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5812/6019, 5.8 task/s, elapsed: 1008s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5813/6019, 5.8 task/s, elapsed: 1008s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5814/6019, 5.8 task/s, elapsed: 1008s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5815/6019, 5.8 task/s, elapsed: 1008s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5816/6019, 5.8 task/s, elapsed: 1009s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5817/6019, 5.8 task/s, elapsed: 1009s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5818/6019, 5.8 task/s, elapsed: 1009s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5819/6019, 5.8 task/s, elapsed: 1009s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5820/6019, 5.8 task/s, elapsed: 1009s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5821/6019, 5.8 task/s, elapsed: 1009s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5822/6019, 5.8 task/s, elapsed: 1010s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5823/6019, 5.8 task/s, elapsed: 1010s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5824/6019, 5.8 task/s, elapsed: 1010s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5825/6019, 5.8 task/s, elapsed: 1010s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5826/6019, 5.8 task/s, elapsed: 1010s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5827/6019, 5.8 task/s, elapsed: 1011s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5828/6019, 5.8 task/s, elapsed: 1011s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5829/6019, 5.8 task/s, elapsed: 1011s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5830/6019, 5.8 task/s, elapsed: 1011s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5831/6019, 5.8 task/s, elapsed: 1011s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5832/6019, 5.8 task/s, elapsed: 1011s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5833/6019, 5.8 task/s, elapsed: 1012s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5834/6019, 5.8 task/s, elapsed: 1012s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5835/6019, 5.8 task/s, elapsed: 1012s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5836/6019, 5.8 task/s, elapsed: 1012s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.8 task/s, elapsed: 1012s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.8 task/s, elapsed: 1012s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.8 task/s, elapsed: 1013s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.8 task/s, elapsed: 1013s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.8 task/s, elapsed: 1013s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5842/6019, 5.8 task/s, elapsed: 1013s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5843/6019, 5.8 task/s, elapsed: 1013s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5844/6019, 5.8 task/s, elapsed: 1014s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5845/6019, 5.8 task/s, elapsed: 1014s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5846/6019, 5.8 task/s, elapsed: 1014s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5847/6019, 5.8 task/s, elapsed: 1014s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5848/6019, 5.8 task/s, elapsed: 1014s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5849/6019, 5.8 task/s, elapsed: 1014s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5850/6019, 5.8 task/s, elapsed: 1015s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5851/6019, 5.8 task/s, elapsed: 1015s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5852/6019, 5.8 task/s, elapsed: 1015s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5853/6019, 5.8 task/s, elapsed: 1015s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5854/6019, 5.8 task/s, elapsed: 1015s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.8 task/s, elapsed: 1015s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.8 task/s, elapsed: 1016s, ETA: 28s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5870/6019, 5.8 task/s, elapsed: 1018s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5871/6019, 5.8 task/s, elapsed: 1018s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5872/6019, 5.8 task/s, elapsed: 1018s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.8 task/s, elapsed: 1019s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.8 task/s, elapsed: 1019s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.8 task/s, elapsed: 1019s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.8 task/s, elapsed: 1019s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5877/6019, 5.8 task/s, elapsed: 1019s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5878/6019, 5.8 task/s, elapsed: 1019s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5879/6019, 5.8 task/s, elapsed: 1020s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5880/6019, 5.8 task/s, elapsed: 1020s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5881/6019, 5.8 task/s, elapsed: 1020s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5882/6019, 5.8 task/s, elapsed: 1020s, ETA: 24s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5896/6019, 5.8 task/s, elapsed: 1023s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.8 task/s, elapsed: 1023s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.8 task/s, elapsed: 1023s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.8 task/s, elapsed: 1023s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.8 task/s, elapsed: 1023s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.8 task/s, elapsed: 1023s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.8 task/s, elapsed: 1024s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.8 task/s, elapsed: 1024s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.8 task/s, elapsed: 1024s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.8 task/s, elapsed: 1024s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.8 task/s, elapsed: 1024s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.8 task/s, elapsed: 1024s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.8 task/s, elapsed: 1025s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.8 task/s, elapsed: 1025s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.8 task/s, elapsed: 1025s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.8 task/s, elapsed: 1025s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.8 task/s, elapsed: 1025s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.8 task/s, elapsed: 1025s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.8 task/s, elapsed: 1026s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.8 task/s, elapsed: 1026s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.8 task/s, elapsed: 1026s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.8 task/s, elapsed: 1026s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.8 task/s, elapsed: 1026s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.8 task/s, elapsed: 1027s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.8 task/s, elapsed: 1027s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.8 task/s, elapsed: 1027s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.8 task/s, elapsed: 1027s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.8 task/s, elapsed: 1027s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.8 task/s, elapsed: 1027s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.8 task/s, elapsed: 1028s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.8 task/s, elapsed: 1028s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.8 task/s, elapsed: 1028s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.8 task/s, elapsed: 1028s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.8 task/s, elapsed: 1028s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.8 task/s, elapsed: 1028s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.8 task/s, elapsed: 1029s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.8 task/s, elapsed: 1029s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.8 task/s, elapsed: 1029s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.8 task/s, elapsed: 1029s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.8 task/s, elapsed: 1029s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.8 task/s, elapsed: 1029s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.8 task/s, elapsed: 1030s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.8 task/s, elapsed: 1030s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.8 task/s, elapsed: 1030s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.8 task/s, elapsed: 1030s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.8 task/s, elapsed: 1030s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.8 task/s, elapsed: 1031s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.8 task/s, elapsed: 1031s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.8 task/s, elapsed: 1031s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.8 task/s, elapsed: 1031s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.8 task/s, elapsed: 1031s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.8 task/s, elapsed: 1031s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.8 task/s, elapsed: 1032s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.8 task/s, elapsed: 1032s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.8 task/s, elapsed: 1032s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.8 task/s, elapsed: 1032s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.8 task/s, elapsed: 1032s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.8 task/s, elapsed: 1032s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.8 task/s, elapsed: 1033s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.8 task/s, elapsed: 1033s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.8 task/s, elapsed: 1033s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.8 task/s, elapsed: 1033s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.8 task/s, elapsed: 1033s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.8 task/s, elapsed: 1034s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.8 task/s, elapsed: 1034s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.8 task/s, elapsed: 1034s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.8 task/s, elapsed: 1034s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.8 task/s, elapsed: 1034s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.8 task/s, elapsed: 1034s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.8 task/s, elapsed: 1035s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.8 task/s, elapsed: 1035s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.8 task/s, elapsed: 1035s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.8 task/s, elapsed: 1035s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.8 task/s, elapsed: 1035s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.8 task/s, elapsed: 1035s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.8 task/s, elapsed: 1036s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.8 task/s, elapsed: 1036s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.8 task/s, elapsed: 1036s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.8 task/s, elapsed: 1036s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.8 task/s, elapsed: 1036s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.8 task/s, elapsed: 1037s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.8 task/s, elapsed: 1037s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.8 task/s, elapsed: 1037s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.8 task/s, elapsed: 1037s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.8 task/s, elapsed: 1037s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.8 task/s, elapsed: 1037s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.8 task/s, elapsed: 1038s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.8 task/s, elapsed: 1038s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.8 task/s, elapsed: 1038s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.8 task/s, elapsed: 1038s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.8 task/s, elapsed: 1038s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.8 task/s, elapsed: 1038s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.8 task/s, elapsed: 1039s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.8 task/s, elapsed: 1039s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.8 task/s, elapsed: 1039s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.8 task/s, elapsed: 1039s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.8 task/s, elapsed: 1039s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.8 task/s, elapsed: 1040s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.8 task/s, elapsed: 1040s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.8 task/s, elapsed: 1040s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.8 task/s, elapsed: 1040s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.8 task/s, elapsed: 1040s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.8 task/s, elapsed: 1040s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.8 task/s, elapsed: 1041s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.8 task/s, elapsed: 1041s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.8 task/s, elapsed: 1041s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.8 task/s, elapsed: 1041s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.8 task/s, elapsed: 1041s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.8 task/s, elapsed: 1041s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.8 task/s, elapsed: 1042s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.8 task/s, elapsed: 1042s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.8 task/s, elapsed: 1042s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.8 task/s, elapsed: 1042s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.8 task/s, elapsed: 1042s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.8 task/s, elapsed: 1043s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.8 task/s, elapsed: 1043s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.8 task/s, elapsed: 1043s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.8 task/s, elapsed: 1043s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.8 task/s, elapsed: 1043s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.8 task/s, elapsed: 1043s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.8 task/s, elapsed: 1044s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.8 task/s, elapsed: 1044s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.8 task/s, elapsed: 1044s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.8 task/s, elapsed: 1044s, ETA: 0s +Results writes to /tmp/tmp7ii5lw4r/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.1 task/s, elapsed: 34s, ETA: 955s [> ] 209/6019, 6.1 task/s, elapsed: 34s, ETA: 955s [> ] 210/6019, 6.1 task/s, elapsed: 35s, ETA: 955s [> ] 211/6019, 6.1 task/s, elapsed: 35s, ETA: 954s [> ] 212/6019, 6.1 task/s, elapsed: 35s, ETA: 954s [> ] 213/6019, 6.1 task/s, elapsed: 35s, ETA: 954s [> ] 214/6019, 6.1 task/s, elapsed: 35s, ETA: 954s [> ] 215/6019, 6.1 task/s, elapsed: 35s, ETA: 953s [> ] 216/6019, 6.1 task/s, elapsed: 35s, ETA: 953s [> ] 217/6019, 6.1 task/s, elapsed: 36s, ETA: 953s [> ] 218/6019, 6.1 task/s, elapsed: 36s, ETA: 953s [> ] 219/6019, 6.1 task/s, elapsed: 36s, ETA: 953s [> ] 220/6019, 6.1 task/s, elapsed: 36s, ETA: 953s [> ] 221/6019, 6.1 task/s, elapsed: 36s, ETA: 953s [> ] 222/6019, 6.1 task/s, elapsed: 37s, ETA: 953s [> ] 223/6019, 6.1 task/s, elapsed: 37s, ETA: 953s [> ] 224/6019, 6.1 task/s, elapsed: 37s, ETA: 953s [> ] 225/6019, 6.1 task/s, elapsed: 37s, ETA: 953s [> ] 226/6019, 6.1 task/s, elapsed: 37s, ETA: 952s [> ] 227/6019, 6.1 task/s, elapsed: 37s, ETA: 952s [> ] 228/6019, 6.1 task/s, elapsed: 37s, ETA: 952s [> ] 229/6019, 6.1 task/s, elapsed: 38s, ETA: 952s [> ] 230/6019, 6.1 task/s, elapsed: 38s, ETA: 952s [> ] 231/6019, 6.1 task/s, elapsed: 38s, ETA: 952s [> ] 232/6019, 6.1 task/s, elapsed: 38s, ETA: 952s [> ] 233/6019, 6.1 task/s, elapsed: 38s, ETA: 952s [> ] 234/6019, 6.1 task/s, elapsed: 38s, ETA: 952s [> ] 235/6019, 6.1 task/s, elapsed: 39s, ETA: 952s [> ] 236/6019, 6.1 task/s, elapsed: 39s, ETA: 952s [> ] 237/6019, 6.1 task/s, elapsed: 39s, ETA: 952s [> ] 238/6019, 6.1 task/s, elapsed: 39s, ETA: 952s [> ] 239/6019, 6.1 task/s, elapsed: 39s, ETA: 952s [> ] 240/6019, 6.1 task/s, elapsed: 40s, ETA: 952s [> ] 241/6019, 6.1 task/s, elapsed: 40s, ETA: 951s [> ] 242/6019, 6.1 task/s, elapsed: 40s, ETA: 951s [> ] 243/6019, 6.1 task/s, elapsed: 40s, ETA: 950s [> ] 244/6019, 6.1 task/s, elapsed: 40s, ETA: 950s [> ] 245/6019, 6.1 task/s, elapsed: 40s, ETA: 950s [> ] 246/6019, 6.1 task/s, elapsed: 40s, ETA: 949s [> ] 247/6019, 6.1 task/s, elapsed: 41s, ETA: 949s [> ] 248/6019, 6.1 task/s, elapsed: 41s, ETA: 949s [> ] 249/6019, 6.1 task/s, elapsed: 41s, ETA: 949s [> ] 250/6019, 6.1 task/s, elapsed: 41s, ETA: 949s [> ] 251/6019, 6.1 task/s, elapsed: 41s, ETA: 948s [> ] 252/6019, 6.1 task/s, elapsed: 41s, ETA: 948s [> ] 253/6019, 6.1 task/s, elapsed: 42s, ETA: 948s [> ] 254/6019, 6.1 task/s, elapsed: 42s, ETA: 948s [> ] 255/6019, 6.1 task/s, elapsed: 42s, ETA: 947s [> ] 256/6019, 6.1 task/s, elapsed: 42s, ETA: 947s [> ] 257/6019, 6.1 task/s, elapsed: 42s, ETA: 946s [> ] 258/6019, 6.1 task/s, elapsed: 42s, ETA: 946s [> ] 259/6019, 6.1 task/s, elapsed: 43s, ETA: 946s [> ] 260/6019, 6.1 task/s, elapsed: 43s, ETA: 946s [> ] 261/6019, 6.1 task/s, elapsed: 43s, ETA: 945s [> ] 262/6019, 6.1 task/s, elapsed: 43s, ETA: 945s [> ] 263/6019, 6.1 task/s, elapsed: 43s, ETA: 945s [> ] 264/6019, 6.1 task/s, elapsed: 43s, ETA: 945s [> ] 265/6019, 6.1 task/s, elapsed: 43s, ETA: 944s [> ] 266/6019, 6.1 task/s, elapsed: 44s, ETA: 944s [> ] 267/6019, 6.1 task/s, elapsed: 44s, ETA: 944s [> ] 268/6019, 6.1 task/s, elapsed: 44s, ETA: 944s [> ] 269/6019, 6.1 task/s, elapsed: 44s, ETA: 944s [> ] 270/6019, 6.1 task/s, elapsed: 44s, ETA: 944s [> ] 271/6019, 6.1 task/s, elapsed: 45s, ETA: 944s [> ] 272/6019, 6.1 task/s, elapsed: 45s, ETA: 944s [> ] 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] 989/6019, 6.1 task/s, elapsed: 163s, ETA: 831s [>>>> ] 990/6019, 6.1 task/s, elapsed: 164s, ETA: 831s [>>>> ] 991/6019, 6.1 task/s, elapsed: 164s, ETA: 831s [>>>> ] 992/6019, 6.1 task/s, elapsed: 164s, ETA: 830s [>>>> ] 993/6019, 6.1 task/s, elapsed: 164s, ETA: 830s [>>>> ] 994/6019, 6.1 task/s, elapsed: 164s, ETA: 830s [>>>> ] 995/6019, 6.1 task/s, elapsed: 164s, ETA: 830s [>>>> ] 996/6019, 6.1 task/s, elapsed: 165s, ETA: 830s [>>>> ] 997/6019, 6.1 task/s, elapsed: 165s, ETA: 830s [>>>> ] 998/6019, 6.1 task/s, elapsed: 165s, ETA: 829s [>>>> ] 999/6019, 6.1 task/s, elapsed: 165s, ETA: 829s [>>>> ] 1000/6019, 6.1 task/s, elapsed: 165s, ETA: 829s [>>>> ] 1001/6019, 6.1 task/s, elapsed: 165s, ETA: 829s [>>>> ] 1002/6019, 6.1 task/s, elapsed: 166s, ETA: 829s [>>>> ] 1003/6019, 6.1 task/s, elapsed: 166s, ETA: 829s [>>>> ] 1004/6019, 6.1 task/s, elapsed: 166s, ETA: 829s [>>>> ] 1005/6019, 6.1 task/s, elapsed: 166s, ETA: 829s [>>>> ] 1006/6019, 6.1 task/s, elapsed: 166s, ETA: 828s [>>>> ] 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] 1219/6019, 6.0 task/s, elapsed: 205s, ETA: 806s [>>>>> ] 1220/6019, 6.0 task/s, elapsed: 205s, ETA: 806s [>>>>> ] 1221/6019, 6.0 task/s, elapsed: 205s, ETA: 806s [>>>>> ] 1222/6019, 6.0 task/s, elapsed: 205s, ETA: 806s [>>>>> ] 1223/6019, 6.0 task/s, elapsed: 205s, ETA: 806s [>>>>> ] 1224/6019, 6.0 task/s, elapsed: 206s, ETA: 805s [>>>>> ] 1225/6019, 6.0 task/s, elapsed: 206s, ETA: 805s [>>>>> ] 1226/6019, 6.0 task/s, elapsed: 206s, ETA: 805s [>>>>> ] 1227/6019, 6.0 task/s, elapsed: 206s, ETA: 805s [>>>>> ] 1228/6019, 6.0 task/s, elapsed: 206s, ETA: 805s [>>>>> ] 1229/6019, 6.0 task/s, elapsed: 206s, ETA: 805s [>>>>> ] 1230/6019, 6.0 task/s, elapsed: 207s, ETA: 804s [>>>>> ] 1231/6019, 6.0 task/s, elapsed: 207s, ETA: 804s [>>>>> ] 1232/6019, 6.0 task/s, elapsed: 207s, ETA: 804s [>>>>> ] 1233/6019, 6.0 task/s, elapsed: 207s, ETA: 804s [>>>>> ] 1234/6019, 6.0 task/s, elapsed: 207s, ETA: 804s [>>>>> ] 1235/6019, 6.0 task/s, elapsed: 207s, ETA: 804s [>>>>> ] 1236/6019, 6.0 task/s, 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] 1254/6019, 6.0 task/s, elapsed: 211s, ETA: 800s [>>>>> ] 1255/6019, 6.0 task/s, elapsed: 211s, ETA: 800s [>>>>> ] 1256/6019, 6.0 task/s, elapsed: 211s, ETA: 800s [>>>>> ] 1257/6019, 6.0 task/s, elapsed: 211s, ETA: 800s [>>>>> ] 1258/6019, 6.0 task/s, elapsed: 211s, ETA: 799s [>>>>> ] 1259/6019, 6.0 task/s, elapsed: 211s, ETA: 799s [>>>>> ] 1260/6019, 6.0 task/s, elapsed: 212s, ETA: 799s [>>>>> ] 1261/6019, 6.0 task/s, elapsed: 212s, ETA: 799s [>>>>> ] 1262/6019, 6.0 task/s, elapsed: 212s, ETA: 799s [>>>>> ] 1263/6019, 6.0 task/s, elapsed: 212s, ETA: 798s [>>>>> ] 1264/6019, 6.0 task/s, elapsed: 212s, ETA: 798s [>>>>> ] 1265/6019, 6.0 task/s, elapsed: 212s, ETA: 798s [>>>>> ] 1266/6019, 6.0 task/s, elapsed: 213s, ETA: 798s [>>>>> ] 1267/6019, 6.0 task/s, elapsed: 213s, ETA: 798s [>>>>> ] 1268/6019, 6.0 task/s, elapsed: 213s, ETA: 797s [>>>>> ] 1269/6019, 6.0 task/s, elapsed: 213s, ETA: 797s [>>>>> ] 1270/6019, 6.0 task/s, elapsed: 213s, ETA: 797s [>>>>> ] 1271/6019, 6.0 task/s, 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] 1289/6019, 6.0 task/s, elapsed: 216s, ETA: 794s [>>>>> ] 1290/6019, 6.0 task/s, elapsed: 216s, ETA: 794s [>>>>> ] 1291/6019, 6.0 task/s, elapsed: 217s, ETA: 793s [>>>>> ] 1292/6019, 6.0 task/s, elapsed: 217s, ETA: 793s [>>>>> ] 1293/6019, 6.0 task/s, elapsed: 217s, ETA: 793s [>>>>> ] 1294/6019, 6.0 task/s, elapsed: 217s, ETA: 793s [>>>>> ] 1295/6019, 6.0 task/s, elapsed: 217s, ETA: 793s [>>>>> ] 1296/6019, 6.0 task/s, elapsed: 217s, ETA: 793s [>>>>> ] 1297/6019, 6.0 task/s, elapsed: 218s, ETA: 792s [>>>>> ] 1298/6019, 6.0 task/s, elapsed: 218s, ETA: 792s [>>>>> ] 1299/6019, 6.0 task/s, elapsed: 218s, ETA: 792s [>>>>> ] 1300/6019, 6.0 task/s, elapsed: 218s, ETA: 792s [>>>>> ] 1301/6019, 6.0 task/s, elapsed: 218s, ETA: 792s [>>>>> ] 1302/6019, 6.0 task/s, elapsed: 218s, ETA: 791s [>>>>> ] 1303/6019, 6.0 task/s, elapsed: 219s, ETA: 791s [>>>>> ] 1304/6019, 6.0 task/s, elapsed: 219s, ETA: 791s [>>>>> ] 1305/6019, 6.0 task/s, elapsed: 219s, ETA: 791s [>>>>> ] 1306/6019, 6.0 task/s, 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] 1324/6019, 6.0 task/s, elapsed: 222s, ETA: 787s [>>>>> ] 1325/6019, 6.0 task/s, elapsed: 222s, ETA: 787s [>>>>> ] 1326/6019, 6.0 task/s, elapsed: 222s, ETA: 787s [>>>>> ] 1327/6019, 6.0 task/s, elapsed: 222s, ETA: 787s [>>>>> ] 1328/6019, 6.0 task/s, elapsed: 223s, ETA: 787s [>>>>> ] 1329/6019, 6.0 task/s, elapsed: 223s, ETA: 786s [>>>>> ] 1330/6019, 6.0 task/s, elapsed: 223s, ETA: 786s [>>>>> ] 1331/6019, 6.0 task/s, elapsed: 223s, ETA: 786s [>>>>> ] 1332/6019, 6.0 task/s, elapsed: 223s, ETA: 786s [>>>>> ] 1333/6019, 6.0 task/s, elapsed: 223s, ETA: 786s [>>>>> ] 1334/6019, 6.0 task/s, elapsed: 224s, ETA: 785s [>>>>> ] 1335/6019, 6.0 task/s, elapsed: 224s, ETA: 785s [>>>>> ] 1336/6019, 6.0 task/s, elapsed: 224s, ETA: 785s [>>>>> ] 1337/6019, 6.0 task/s, elapsed: 224s, ETA: 785s [>>>>>> ] 1338/6019, 6.0 task/s, elapsed: 224s, ETA: 785s [>>>>>> ] 1339/6019, 6.0 task/s, elapsed: 224s, ETA: 784s [>>>>>> ] 1340/6019, 6.0 task/s, elapsed: 225s, ETA: 784s [>>>>>> ] 1341/6019, 6.0 task/s, 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] 3821/6019, 5.9 task/s, elapsed: 650s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3822/6019, 5.9 task/s, elapsed: 650s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3823/6019, 5.9 task/s, elapsed: 650s, ETA: 374s [>>>>>>>>>>>>>>>>> ] 3824/6019, 5.9 task/s, elapsed: 650s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3825/6019, 5.9 task/s, elapsed: 651s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3826/6019, 5.9 task/s, elapsed: 651s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3827/6019, 5.9 task/s, elapsed: 651s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3828/6019, 5.9 task/s, elapsed: 651s, ETA: 373s [>>>>>>>>>>>>>>>>> ] 3829/6019, 5.9 task/s, elapsed: 651s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3830/6019, 5.9 task/s, elapsed: 651s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3831/6019, 5.9 task/s, elapsed: 652s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3832/6019, 5.9 task/s, elapsed: 652s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3833/6019, 5.9 task/s, elapsed: 652s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3834/6019, 5.9 task/s, elapsed: 652s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3835/6019, 5.9 task/s, elapsed: 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] 3850/6019, 5.9 task/s, elapsed: 655s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3851/6019, 5.9 task/s, elapsed: 655s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.9 task/s, elapsed: 655s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.9 task/s, elapsed: 655s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.9 task/s, elapsed: 656s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.9 task/s, elapsed: 656s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.9 task/s, elapsed: 656s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.9 task/s, elapsed: 656s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3858/6019, 5.9 task/s, elapsed: 656s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3859/6019, 5.9 task/s, elapsed: 656s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3860/6019, 5.9 task/s, elapsed: 657s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3861/6019, 5.9 task/s, elapsed: 657s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3862/6019, 5.9 task/s, elapsed: 657s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3863/6019, 5.9 task/s, elapsed: 657s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3864/6019, 5.9 task/s, elapsed: 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] 3879/6019, 5.9 task/s, elapsed: 660s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3880/6019, 5.9 task/s, elapsed: 660s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.9 task/s, elapsed: 660s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.9 task/s, elapsed: 660s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3883/6019, 5.9 task/s, elapsed: 661s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3884/6019, 5.9 task/s, elapsed: 661s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3885/6019, 5.9 task/s, elapsed: 661s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3886/6019, 5.9 task/s, elapsed: 661s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3887/6019, 5.9 task/s, elapsed: 661s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3888/6019, 5.9 task/s, elapsed: 661s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3889/6019, 5.9 task/s, elapsed: 662s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3890/6019, 5.9 task/s, elapsed: 662s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3891/6019, 5.9 task/s, elapsed: 662s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3892/6019, 5.9 task/s, elapsed: 662s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3893/6019, 5.9 task/s, elapsed: 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] 3908/6019, 5.9 task/s, elapsed: 665s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3909/6019, 5.9 task/s, elapsed: 665s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3910/6019, 5.9 task/s, elapsed: 665s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3911/6019, 5.9 task/s, elapsed: 665s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3912/6019, 5.9 task/s, elapsed: 665s, ETA: 358s [>>>>>>>>>>>>>>>>> ] 3913/6019, 5.9 task/s, elapsed: 666s, ETA: 358s [>>>>>>>>>>>>>>>>> ] 3914/6019, 5.9 task/s, elapsed: 666s, ETA: 358s [>>>>>>>>>>>>>>>>> ] 3915/6019, 5.9 task/s, elapsed: 666s, ETA: 358s [>>>>>>>>>>>>>>>>> ] 3916/6019, 5.9 task/s, elapsed: 666s, ETA: 358s [>>>>>>>>>>>>>>>>> ] 3917/6019, 5.9 task/s, elapsed: 666s, ETA: 358s [>>>>>>>>>>>>>>>>> ] 3918/6019, 5.9 task/s, elapsed: 667s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3919/6019, 5.9 task/s, elapsed: 667s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3920/6019, 5.9 task/s, elapsed: 667s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3921/6019, 5.9 task/s, elapsed: 667s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3922/6019, 5.9 task/s, elapsed: 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] 3937/6019, 5.9 task/s, elapsed: 670s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3938/6019, 5.9 task/s, elapsed: 670s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3939/6019, 5.9 task/s, elapsed: 670s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3940/6019, 5.9 task/s, elapsed: 670s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3941/6019, 5.9 task/s, elapsed: 670s, ETA: 353s [>>>>>>>>>>>>>>>>> ] 3942/6019, 5.9 task/s, elapsed: 670s, ETA: 353s [>>>>>>>>>>>>>>>>> ] 3943/6019, 5.9 task/s, elapsed: 671s, ETA: 353s [>>>>>>>>>>>>>>>>> ] 3944/6019, 5.9 task/s, elapsed: 671s, ETA: 353s [>>>>>>>>>>>>>>>>> ] 3945/6019, 5.9 task/s, elapsed: 671s, ETA: 353s [>>>>>>>>>>>>>>>>> ] 3946/6019, 5.9 task/s, elapsed: 671s, ETA: 353s [>>>>>>>>>>>>>>>>> ] 3947/6019, 5.9 task/s, elapsed: 671s, ETA: 352s [>>>>>>>>>>>>>>>>> ] 3948/6019, 5.9 task/s, elapsed: 671s, ETA: 352s [>>>>>>>>>>>>>>>>> ] 3949/6019, 5.9 task/s, elapsed: 672s, ETA: 352s [>>>>>>>>>>>>>>>>> ] 3950/6019, 5.9 task/s, elapsed: 672s, ETA: 352s [>>>>>>>>>>>>>>>>> ] 3951/6019, 5.9 task/s, elapsed: 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] 3966/6019, 5.9 task/s, elapsed: 674s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3967/6019, 5.9 task/s, elapsed: 675s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3968/6019, 5.9 task/s, elapsed: 675s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3969/6019, 5.9 task/s, elapsed: 675s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3970/6019, 5.9 task/s, elapsed: 675s, ETA: 348s [>>>>>>>>>>>>>>>>> ] 3971/6019, 5.9 task/s, elapsed: 675s, ETA: 348s [>>>>>>>>>>>>>>>>> ] 3972/6019, 5.9 task/s, elapsed: 675s, ETA: 348s [>>>>>>>>>>>>>>>>> ] 3973/6019, 5.9 task/s, elapsed: 675s, ETA: 348s [>>>>>>>>>>>>>>>>> ] 3974/6019, 5.9 task/s, elapsed: 676s, ETA: 348s [>>>>>>>>>>>>>>>>> ] 3975/6019, 5.9 task/s, elapsed: 676s, ETA: 348s [>>>>>>>>>>>>>>>>> ] 3976/6019, 5.9 task/s, elapsed: 676s, ETA: 347s [>>>>>>>>>>>>>>>>> ] 3977/6019, 5.9 task/s, elapsed: 676s, ETA: 347s [>>>>>>>>>>>>>>>>> ] 3978/6019, 5.9 task/s, elapsed: 676s, ETA: 347s [>>>>>>>>>>>>>>>>> ] 3979/6019, 5.9 task/s, elapsed: 676s, ETA: 347s [>>>>>>>>>>>>>>>>> ] 3980/6019, 5.9 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>> ] 4874/6019, 5.9 task/s, elapsed: 832s, ETA: 195s [>>>>>>>>>>>>>>>>>>>>> ] 4875/6019, 5.9 task/s, elapsed: 832s, ETA: 195s [>>>>>>>>>>>>>>>>>>>>> ] 4876/6019, 5.9 task/s, elapsed: 832s, ETA: 195s [>>>>>>>>>>>>>>>>>>>>> ] 4877/6019, 5.9 task/s, elapsed: 832s, ETA: 195s [>>>>>>>>>>>>>>>>>>>>> ] 4878/6019, 5.9 task/s, elapsed: 832s, ETA: 195s [>>>>>>>>>>>>>>>>>>>>> ] 4879/6019, 5.9 task/s, elapsed: 832s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4880/6019, 5.9 task/s, elapsed: 833s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4881/6019, 5.9 task/s, elapsed: 833s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4882/6019, 5.9 task/s, elapsed: 833s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4883/6019, 5.9 task/s, elapsed: 833s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4884/6019, 5.9 task/s, elapsed: 833s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4885/6019, 5.9 task/s, elapsed: 833s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>> ] 4886/6019, 5.9 task/s, elapsed: 834s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>> ] 4887/6019, 5.9 task/s, 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] 5277/6019, 5.9 task/s, elapsed: 898s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5278/6019, 5.9 task/s, elapsed: 898s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5279/6019, 5.9 task/s, elapsed: 899s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5280/6019, 5.9 task/s, elapsed: 899s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5281/6019, 5.9 task/s, elapsed: 899s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5282/6019, 5.9 task/s, elapsed: 899s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5283/6019, 5.9 task/s, elapsed: 899s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5284/6019, 5.9 task/s, elapsed: 899s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5285/6019, 5.9 task/s, elapsed: 900s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5286/6019, 5.9 task/s, elapsed: 900s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5287/6019, 5.9 task/s, elapsed: 900s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5288/6019, 5.9 task/s, elapsed: 900s, ETA: 124s [>>>>>>>>>>>>>>>>>>>>>>> ] 5289/6019, 5.9 task/s, elapsed: 900s, ETA: 124s [>>>>>>>>>>>>>>>>>>>>>>> ] 5290/6019, 5.9 task/s, 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] 5317/6019, 5.9 task/s, elapsed: 905s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5318/6019, 5.9 task/s, elapsed: 905s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5319/6019, 5.9 task/s, elapsed: 905s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5320/6019, 5.9 task/s, elapsed: 905s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5321/6019, 5.9 task/s, elapsed: 905s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5322/6019, 5.9 task/s, elapsed: 906s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5323/6019, 5.9 task/s, elapsed: 906s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5324/6019, 5.9 task/s, elapsed: 906s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5325/6019, 5.9 task/s, elapsed: 906s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5326/6019, 5.9 task/s, elapsed: 906s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5327/6019, 5.9 task/s, elapsed: 906s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5328/6019, 5.9 task/s, elapsed: 907s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5329/6019, 5.9 task/s, elapsed: 907s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5330/6019, 5.9 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5699/6019, 5.8 task/s, elapsed: 976s, ETA: 55s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5700/6019, 5.8 task/s, elapsed: 976s, ETA: 55s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5701/6019, 5.8 task/s, elapsed: 976s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5702/6019, 5.8 task/s, elapsed: 976s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5703/6019, 5.8 task/s, elapsed: 976s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5704/6019, 5.8 task/s, elapsed: 977s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5705/6019, 5.8 task/s, elapsed: 977s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5706/6019, 5.8 task/s, elapsed: 977s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5707/6019, 5.8 task/s, elapsed: 977s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5708/6019, 5.8 task/s, elapsed: 977s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5709/6019, 5.8 task/s, elapsed: 978s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5710/6019, 5.8 task/s, elapsed: 978s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5711/6019, 5.8 task/s, elapsed: 978s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5712/6019, 5.8 task/s, elapsed: 978s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5713/6019, 5.8 task/s, elapsed: 978s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5714/6019, 5.8 task/s, elapsed: 978s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5715/6019, 5.8 task/s, elapsed: 979s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5716/6019, 5.8 task/s, elapsed: 979s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5717/6019, 5.8 task/s, elapsed: 979s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5718/6019, 5.8 task/s, elapsed: 979s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5719/6019, 5.8 task/s, elapsed: 979s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5720/6019, 5.8 task/s, elapsed: 979s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5721/6019, 5.8 task/s, elapsed: 980s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5722/6019, 5.8 task/s, elapsed: 980s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5723/6019, 5.8 task/s, elapsed: 980s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5724/6019, 5.8 task/s, elapsed: 980s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5725/6019, 5.8 task/s, elapsed: 980s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5726/6019, 5.8 task/s, elapsed: 980s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5727/6019, 5.8 task/s, elapsed: 981s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5728/6019, 5.8 task/s, elapsed: 981s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5729/6019, 5.8 task/s, elapsed: 981s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5730/6019, 5.8 task/s, elapsed: 981s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5731/6019, 5.8 task/s, elapsed: 981s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5732/6019, 5.8 task/s, elapsed: 982s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5733/6019, 5.8 task/s, elapsed: 982s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5734/6019, 5.8 task/s, elapsed: 982s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5735/6019, 5.8 task/s, elapsed: 982s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5736/6019, 5.8 task/s, elapsed: 982s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5737/6019, 5.8 task/s, elapsed: 982s, ETA: 48s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5764/6019, 5.8 task/s, elapsed: 987s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5765/6019, 5.8 task/s, elapsed: 987s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5766/6019, 5.8 task/s, elapsed: 988s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5767/6019, 5.8 task/s, elapsed: 988s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5768/6019, 5.8 task/s, elapsed: 988s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5769/6019, 5.8 task/s, elapsed: 988s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5770/6019, 5.8 task/s, elapsed: 988s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5771/6019, 5.8 task/s, elapsed: 988s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5772/6019, 5.8 task/s, elapsed: 989s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5773/6019, 5.8 task/s, elapsed: 989s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5774/6019, 5.8 task/s, elapsed: 989s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5775/6019, 5.8 task/s, elapsed: 989s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5776/6019, 5.8 task/s, elapsed: 989s, ETA: 42s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5868/6019, 5.8 task/s, elapsed: 1006s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5869/6019, 5.8 task/s, elapsed: 1006s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5870/6019, 5.8 task/s, elapsed: 1006s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5871/6019, 5.8 task/s, elapsed: 1006s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5872/6019, 5.8 task/s, elapsed: 1006s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.8 task/s, elapsed: 1006s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.8 task/s, elapsed: 1007s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.8 task/s, elapsed: 1007s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.8 task/s, elapsed: 1007s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5877/6019, 5.8 task/s, elapsed: 1007s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5878/6019, 5.8 task/s, elapsed: 1007s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5879/6019, 5.8 task/s, elapsed: 1007s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5880/6019, 5.8 task/s, elapsed: 1008s, ETA: 24s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.8 task/s, elapsed: 1012s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.8 task/s, elapsed: 1012s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.8 task/s, elapsed: 1013s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.8 task/s, elapsed: 1013s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.8 task/s, elapsed: 1013s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.8 task/s, elapsed: 1013s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.8 task/s, elapsed: 1013s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.8 task/s, elapsed: 1013s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.8 task/s, elapsed: 1014s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.8 task/s, elapsed: 1014s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.8 task/s, elapsed: 1014s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.8 task/s, elapsed: 1014s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.8 task/s, elapsed: 1014s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.8 task/s, elapsed: 1015s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.8 task/s, elapsed: 1015s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.8 task/s, elapsed: 1015s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.8 task/s, elapsed: 1015s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.8 task/s, elapsed: 1015s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.8 task/s, elapsed: 1015s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.8 task/s, elapsed: 1016s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.8 task/s, elapsed: 1016s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.8 task/s, elapsed: 1016s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.8 task/s, elapsed: 1017s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.8 task/s, elapsed: 1017s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.8 task/s, elapsed: 1017s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.8 task/s, elapsed: 1017s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.8 task/s, elapsed: 1017s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.8 task/s, elapsed: 1017s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.8 task/s, elapsed: 1018s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.8 task/s, elapsed: 1018s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.8 task/s, elapsed: 1018s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.8 task/s, elapsed: 1018s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.8 task/s, elapsed: 1018s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.8 task/s, elapsed: 1019s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.8 task/s, elapsed: 1019s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.8 task/s, elapsed: 1020s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.8 task/s, elapsed: 1020s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.8 task/s, elapsed: 1020s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.8 task/s, elapsed: 1020s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.8 task/s, elapsed: 1020s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.8 task/s, elapsed: 1020s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.8 task/s, elapsed: 1021s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.8 task/s, elapsed: 1021s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.8 task/s, elapsed: 1021s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.8 task/s, elapsed: 1021s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.8 task/s, elapsed: 1021s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.8 task/s, elapsed: 1022s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.8 task/s, elapsed: 1022s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.8 task/s, elapsed: 1023s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.8 task/s, elapsed: 1023s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.8 task/s, elapsed: 1024s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.8 task/s, elapsed: 1024s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.8 task/s, elapsed: 1025s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.8 task/s, elapsed: 1025s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.8 task/s, elapsed: 1026s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.8 task/s, elapsed: 1026s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.8 task/s, elapsed: 1026s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.8 task/s, elapsed: 1026s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.8 task/s, elapsed: 1026s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.8 task/s, elapsed: 1026s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.8 task/s, elapsed: 1027s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.8 task/s, elapsed: 1028s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.8 task/s, elapsed: 1028s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.8 task/s, elapsed: 1032s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.8 task/s, elapsed: 1032s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.8 task/s, elapsed: 1032s, ETA: 0s +Results writes to /tmp/tmp53df1yg9/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.0 task/s, elapsed: 35s, ETA: 968s [> ] 209/6019, 6.0 task/s, elapsed: 35s, ETA: 968s [> ] 210/6019, 6.0 task/s, elapsed: 35s, ETA: 967s [> ] 211/6019, 6.0 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] 1181/6019, 6.0 task/s, elapsed: 198s, ETA: 813s [>>>>> ] 1182/6019, 6.0 task/s, elapsed: 199s, ETA: 812s [>>>>> ] 1183/6019, 6.0 task/s, elapsed: 199s, ETA: 812s [>>>>> ] 1184/6019, 6.0 task/s, elapsed: 199s, ETA: 812s [>>>>> ] 1185/6019, 6.0 task/s, elapsed: 199s, ETA: 812s [>>>>> ] 1186/6019, 6.0 task/s, elapsed: 199s, ETA: 812s [>>>>> ] 1187/6019, 6.0 task/s, elapsed: 199s, ETA: 811s [>>>>> ] 1188/6019, 6.0 task/s, elapsed: 199s, ETA: 811s [>>>>> ] 1189/6019, 6.0 task/s, elapsed: 200s, ETA: 811s [>>>>> ] 1190/6019, 6.0 task/s, elapsed: 200s, ETA: 811s [>>>>> ] 1191/6019, 6.0 task/s, elapsed: 200s, ETA: 811s [>>>>> ] 1192/6019, 6.0 task/s, elapsed: 200s, ETA: 811s [>>>>> ] 1193/6019, 6.0 task/s, elapsed: 200s, ETA: 811s [>>>>> ] 1194/6019, 6.0 task/s, elapsed: 201s, ETA: 810s [>>>>> ] 1195/6019, 6.0 task/s, elapsed: 201s, ETA: 810s [>>>>> ] 1196/6019, 6.0 task/s, elapsed: 201s, ETA: 810s [>>>>> ] 1197/6019, 6.0 task/s, elapsed: 201s, ETA: 810s [>>>>> ] 1198/6019, 6.0 task/s, 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[>>>>>>>>> ] 2014/6019, 5.9 task/s, elapsed: 340s, ETA: 676s [>>>>>>>>> ] 2015/6019, 5.9 task/s, elapsed: 340s, ETA: 676s [>>>>>>>>> ] 2016/6019, 5.9 task/s, elapsed: 340s, ETA: 676s [>>>>>>>>> ] 2017/6019, 5.9 task/s, elapsed: 341s, ETA: 676s [>>>>>>>>> ] 2018/6019, 5.9 task/s, elapsed: 341s, ETA: 676s [>>>>>>>>> ] 2019/6019, 5.9 task/s, elapsed: 341s, ETA: 676s [>>>>>>>>> ] 2020/6019, 5.9 task/s, elapsed: 341s, ETA: 675s [>>>>>>>>> ] 2021/6019, 5.9 task/s, elapsed: 341s, ETA: 675s [>>>>>>>>> ] 2022/6019, 5.9 task/s, elapsed: 342s, ETA: 675s [>>>>>>>>> ] 2023/6019, 5.9 task/s, elapsed: 342s, ETA: 675s [>>>>>>>>> ] 2024/6019, 5.9 task/s, elapsed: 342s, ETA: 675s [>>>>>>>>> ] 2025/6019, 5.9 task/s, elapsed: 342s, ETA: 675s [>>>>>>>>> ] 2026/6019, 5.9 task/s, elapsed: 342s, ETA: 674s [>>>>>>>>> ] 2027/6019, 5.9 task/s, elapsed: 342s, ETA: 674s [>>>>>>>>> ] 2028/6019, 5.9 task/s, elapsed: 343s, ETA: 674s [>>>>>>>>> ] 2029/6019, 5.9 task/s, elapsed: 343s, ETA: 674s [>>>>>>>>> ] 2030/6019, 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] 3818/6019, 5.9 task/s, elapsed: 646s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3819/6019, 5.9 task/s, elapsed: 646s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3820/6019, 5.9 task/s, elapsed: 646s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3821/6019, 5.9 task/s, elapsed: 647s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3822/6019, 5.9 task/s, elapsed: 647s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3823/6019, 5.9 task/s, elapsed: 647s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3824/6019, 5.9 task/s, elapsed: 647s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3825/6019, 5.9 task/s, elapsed: 647s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3826/6019, 5.9 task/s, elapsed: 647s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3827/6019, 5.9 task/s, elapsed: 648s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3828/6019, 5.9 task/s, elapsed: 648s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3829/6019, 5.9 task/s, elapsed: 648s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3830/6019, 5.9 task/s, elapsed: 648s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3831/6019, 5.9 task/s, elapsed: 648s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3832/6019, 5.9 task/s, elapsed: 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] 3847/6019, 5.9 task/s, elapsed: 651s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3848/6019, 5.9 task/s, elapsed: 651s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3849/6019, 5.9 task/s, elapsed: 651s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3850/6019, 5.9 task/s, elapsed: 652s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3851/6019, 5.9 task/s, elapsed: 652s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.9 task/s, elapsed: 652s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.9 task/s, elapsed: 652s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.9 task/s, elapsed: 652s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.9 task/s, elapsed: 653s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.9 task/s, elapsed: 653s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.9 task/s, elapsed: 653s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3858/6019, 5.9 task/s, elapsed: 653s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3859/6019, 5.9 task/s, elapsed: 653s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3860/6019, 5.9 task/s, elapsed: 653s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3861/6019, 5.9 task/s, elapsed: 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] 3876/6019, 5.9 task/s, elapsed: 656s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3877/6019, 5.9 task/s, elapsed: 656s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3878/6019, 5.9 task/s, elapsed: 657s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3879/6019, 5.9 task/s, elapsed: 657s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3880/6019, 5.9 task/s, elapsed: 657s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.9 task/s, elapsed: 657s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.9 task/s, elapsed: 657s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3883/6019, 5.9 task/s, elapsed: 657s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3884/6019, 5.9 task/s, elapsed: 658s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3885/6019, 5.9 task/s, elapsed: 658s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3886/6019, 5.9 task/s, elapsed: 658s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3887/6019, 5.9 task/s, elapsed: 658s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3888/6019, 5.9 task/s, elapsed: 658s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3889/6019, 5.9 task/s, elapsed: 658s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3890/6019, 5.9 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5864/6019, 5.8 task/s, elapsed: 1004s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5865/6019, 5.8 task/s, elapsed: 1004s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5866/6019, 5.8 task/s, elapsed: 1004s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5867/6019, 5.8 task/s, elapsed: 1004s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5868/6019, 5.8 task/s, elapsed: 1004s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5869/6019, 5.8 task/s, elapsed: 1004s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5870/6019, 5.8 task/s, elapsed: 1005s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5871/6019, 5.8 task/s, elapsed: 1005s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5872/6019, 5.8 task/s, elapsed: 1005s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.8 task/s, elapsed: 1005s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.8 task/s, elapsed: 1005s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.8 task/s, elapsed: 1006s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.8 task/s, elapsed: 1006s, ETA: 24s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.8 task/s, elapsed: 1010s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.8 task/s, elapsed: 1011s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.8 task/s, elapsed: 1011s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.8 task/s, elapsed: 1011s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.8 task/s, elapsed: 1011s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.8 task/s, elapsed: 1011s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.8 task/s, elapsed: 1012s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.8 task/s, elapsed: 1012s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.8 task/s, elapsed: 1012s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.8 task/s, elapsed: 1012s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.8 task/s, elapsed: 1012s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.8 task/s, elapsed: 1012s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.8 task/s, elapsed: 1013s, ETA: 18s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.8 task/s, elapsed: 1024s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.8 task/s, elapsed: 1024s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.8 task/s, elapsed: 1025s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.8 task/s, elapsed: 1025s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.8 task/s, elapsed: 1025s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.8 task/s, elapsed: 1025s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.8 task/s, elapsed: 1025s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.8 task/s, elapsed: 1026s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.8 task/s, elapsed: 1026s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.8 task/s, elapsed: 1026s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.8 task/s, elapsed: 1026s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.8 task/s, elapsed: 1026s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.8 task/s, elapsed: 1026s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.8 task/s, elapsed: 1027s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.8 task/s, elapsed: 1027s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.8 task/s, elapsed: 1027s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.8 task/s, elapsed: 1027s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.8 task/s, elapsed: 1027s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.8 task/s, elapsed: 1028s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.8 task/s, elapsed: 1028s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.8 task/s, elapsed: 1028s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.8 task/s, elapsed: 1028s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.8 task/s, elapsed: 1028s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.8 task/s, elapsed: 1029s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.8 task/s, elapsed: 1029s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.8 task/s, elapsed: 1029s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.8 task/s, elapsed: 1029s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.8 task/s, elapsed: 1029s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.8 task/s, elapsed: 1029s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.8 task/s, elapsed: 1030s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.8 task/s, elapsed: 1030s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.8 task/s, elapsed: 1030s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.8 task/s, elapsed: 1030s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.8 task/s, elapsed: 1030s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.8 task/s, elapsed: 1031s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.8 task/s, elapsed: 1031s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.8 task/s, elapsed: 1031s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.8 task/s, elapsed: 1031s, ETA: 0s +Results writes to /tmp/tmpv4c0khia/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 5.9 task/s, elapsed: 35s, ETA: 988s [> ] 209/6019, 5.9 task/s, elapsed: 36s, ETA: 988s [> ] 210/6019, 5.9 task/s, elapsed: 36s, ETA: 988s [> ] 211/6019, 5.9 task/s, elapsed: 36s, ETA: 988s [> ] 212/6019, 5.9 task/s, elapsed: 36s, ETA: 987s [> ] 213/6019, 5.9 task/s, elapsed: 36s, ETA: 987s [> ] 214/6019, 5.9 task/s, elapsed: 36s, ETA: 987s [> ] 215/6019, 5.9 task/s, elapsed: 37s, ETA: 986s [> ] 216/6019, 5.9 task/s, elapsed: 37s, ETA: 986s [> ] 217/6019, 5.9 task/s, elapsed: 37s, ETA: 986s [> ] 218/6019, 5.9 task/s, elapsed: 37s, ETA: 986s [> ] 219/6019, 5.9 task/s, elapsed: 37s, ETA: 986s [> ] 220/6019, 5.9 task/s, elapsed: 37s, ETA: 985s [> ] 221/6019, 5.9 task/s, elapsed: 38s, ETA: 985s [> ] 222/6019, 5.9 task/s, elapsed: 38s, ETA: 985s [> ] 223/6019, 5.9 task/s, elapsed: 38s, ETA: 985s [> ] 224/6019, 5.9 task/s, elapsed: 38s, ETA: 985s [> ] 225/6019, 5.9 task/s, elapsed: 38s, ETA: 985s [> ] 226/6019, 5.9 task/s, elapsed: 38s, ETA: 984s [> ] 227/6019, 5.9 task/s, elapsed: 39s, ETA: 984s [> ] 228/6019, 5.9 task/s, elapsed: 39s, ETA: 984s [> ] 229/6019, 5.9 task/s, elapsed: 39s, ETA: 984s [> ] 230/6019, 5.9 task/s, elapsed: 39s, ETA: 984s [> ] 231/6019, 5.9 task/s, elapsed: 39s, ETA: 984s [> ] 232/6019, 5.9 task/s, elapsed: 39s, ETA: 984s [> ] 233/6019, 5.9 task/s, elapsed: 40s, ETA: 984s [> ] 234/6019, 5.9 task/s, elapsed: 40s, ETA: 983s [> ] 235/6019, 5.9 task/s, elapsed: 40s, ETA: 983s [> ] 236/6019, 5.9 task/s, elapsed: 40s, ETA: 983s [> ] 237/6019, 5.9 task/s, elapsed: 40s, ETA: 983s [> ] 238/6019, 5.9 task/s, elapsed: 40s, ETA: 983s [> ] 239/6019, 5.9 task/s, elapsed: 41s, ETA: 983s [> ] 240/6019, 5.9 task/s, elapsed: 41s, ETA: 983s [> ] 241/6019, 5.9 task/s, elapsed: 41s, ETA: 982s [> ] 242/6019, 5.9 task/s, elapsed: 41s, ETA: 982s [> ] 243/6019, 5.9 task/s, elapsed: 41s, ETA: 981s [> ] 244/6019, 5.9 task/s, 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] 962/6019, 5.9 task/s, elapsed: 162s, ETA: 851s [>>>> ] 963/6019, 5.9 task/s, elapsed: 162s, ETA: 851s [>>>> ] 964/6019, 5.9 task/s, elapsed: 162s, ETA: 850s [>>>> ] 965/6019, 5.9 task/s, elapsed: 162s, ETA: 850s [>>>> ] 966/6019, 5.9 task/s, elapsed: 163s, ETA: 850s [>>>> ] 967/6019, 5.9 task/s, elapsed: 163s, ETA: 850s [>>>> ] 968/6019, 5.9 task/s, elapsed: 163s, ETA: 850s [>>>> ] 969/6019, 5.9 task/s, elapsed: 163s, ETA: 850s [>>>> ] 970/6019, 5.9 task/s, elapsed: 163s, ETA: 850s [>>>> ] 971/6019, 5.9 task/s, elapsed: 163s, ETA: 850s [>>>> ] 972/6019, 5.9 task/s, elapsed: 164s, ETA: 849s [>>>> ] 973/6019, 5.9 task/s, elapsed: 164s, ETA: 849s [>>>> ] 974/6019, 5.9 task/s, elapsed: 164s, ETA: 849s [>>>> ] 975/6019, 5.9 task/s, elapsed: 164s, ETA: 849s [>>>> ] 976/6019, 5.9 task/s, elapsed: 164s, ETA: 849s [>>>> ] 977/6019, 5.9 task/s, elapsed: 164s, ETA: 849s [>>>> ] 978/6019, 5.9 task/s, elapsed: 165s, ETA: 849s [>>>> ] 979/6019, 5.9 task/s, elapsed: 165s, ETA: 849s [>>>> ] 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] 2932/6019, 5.8 task/s, elapsed: 502s, ETA: 529s [>>>>>>>>>>>>> ] 2933/6019, 5.8 task/s, elapsed: 503s, ETA: 529s [>>>>>>>>>>>>> ] 2934/6019, 5.8 task/s, elapsed: 503s, ETA: 529s [>>>>>>>>>>>>> ] 2935/6019, 5.8 task/s, elapsed: 503s, ETA: 528s [>>>>>>>>>>>>> ] 2936/6019, 5.8 task/s, elapsed: 503s, ETA: 528s [>>>>>>>>>>>>> ] 2937/6019, 5.8 task/s, elapsed: 503s, ETA: 528s [>>>>>>>>>>>>> ] 2938/6019, 5.8 task/s, elapsed: 503s, ETA: 528s [>>>>>>>>>>>>> ] 2939/6019, 5.8 task/s, elapsed: 504s, ETA: 528s [>>>>>>>>>>>>> ] 2940/6019, 5.8 task/s, elapsed: 504s, ETA: 528s [>>>>>>>>>>>>> ] 2941/6019, 5.8 task/s, elapsed: 504s, ETA: 527s [>>>>>>>>>>>>> ] 2942/6019, 5.8 task/s, elapsed: 504s, ETA: 527s [>>>>>>>>>>>>> ] 2943/6019, 5.8 task/s, elapsed: 504s, ETA: 527s [>>>>>>>>>>>>> ] 2944/6019, 5.8 task/s, elapsed: 504s, ETA: 527s [>>>>>>>>>>>>> ] 2945/6019, 5.8 task/s, elapsed: 505s, ETA: 527s [>>>>>>>>>>>>> ] 2946/6019, 5.8 task/s, elapsed: 505s, ETA: 527s [>>>>>>>>>>>>> ] 2947/6019, 5.8 task/s, elapsed: 505s, ETA: 526s [>>>>>>>>>>>>> ] 2948/6019, 5.8 task/s, elapsed: 505s, ETA: 526s [>>>>>>>>>>>>> ] 2949/6019, 5.8 task/s, elapsed: 505s, ETA: 526s [>>>>>>>>>>>>> ] 2950/6019, 5.8 task/s, elapsed: 505s, ETA: 526s [>>>>>>>>>>>>> ] 2951/6019, 5.8 task/s, elapsed: 506s, ETA: 526s [>>>>>>>>>>>>> ] 2952/6019, 5.8 task/s, elapsed: 506s, ETA: 526s [>>>>>>>>>>>>> ] 2953/6019, 5.8 task/s, elapsed: 506s, ETA: 525s [>>>>>>>>>>>>> ] 2954/6019, 5.8 task/s, elapsed: 506s, ETA: 525s [>>>>>>>>>>>>> ] 2955/6019, 5.8 task/s, elapsed: 506s, ETA: 525s [>>>>>>>>>>>>> ] 2956/6019, 5.8 task/s, elapsed: 506s, ETA: 525s [>>>>>>>>>>>>> ] 2957/6019, 5.8 task/s, elapsed: 507s, ETA: 525s [>>>>>>>>>>>>> ] 2958/6019, 5.8 task/s, elapsed: 511s, ETA: 528s [>>>>>>>>>>>>> ] 2959/6019, 5.8 task/s, elapsed: 511s, ETA: 528s [>>>>>>>>>>>>> ] 2960/6019, 5.8 task/s, elapsed: 511s, ETA: 528s [>>>>>>>>>>>>> ] 2961/6019, 5.8 task/s, elapsed: 511s, ETA: 528s [>>>>>>>>>>>>> ] 2962/6019, 5.8 task/s, elapsed: 511s, ETA: 528s [>>>>>>>>>>>>> ] 2963/6019, 5.8 task/s, elapsed: 512s, ETA: 528s [>>>>>>>>>>>>> ] 2964/6019, 5.8 task/s, elapsed: 512s, ETA: 527s [>>>>>>>>>>>>> ] 2965/6019, 5.8 task/s, elapsed: 512s, ETA: 527s [>>>>>>>>>>>>> ] 2966/6019, 5.8 task/s, elapsed: 512s, ETA: 527s [>>>>>>>>>>>>> ] 2967/6019, 5.8 task/s, elapsed: 512s, ETA: 527s [>>>>>>>>>>>>> ] 2968/6019, 5.8 task/s, elapsed: 512s, ETA: 527s [>>>>>>>>>>>>> ] 2969/6019, 5.8 task/s, elapsed: 513s, ETA: 526s [>>>>>>>>>>>>> ] 2970/6019, 5.8 task/s, elapsed: 513s, ETA: 526s [>>>>>>>>>>>>> ] 2971/6019, 5.8 task/s, elapsed: 513s, ETA: 526s [>>>>>>>>>>>>> ] 2972/6019, 5.8 task/s, elapsed: 513s, ETA: 526s [>>>>>>>>>>>>> ] 2973/6019, 5.8 task/s, elapsed: 513s, ETA: 526s [>>>>>>>>>>>>> ] 2974/6019, 5.8 task/s, elapsed: 513s, ETA: 526s [>>>>>>>>>>>>> ] 2975/6019, 5.8 task/s, elapsed: 513s, ETA: 525s [>>>>>>>>>>>>> ] 2976/6019, 5.8 task/s, elapsed: 514s, ETA: 525s [>>>>>>>>>>>>> ] 2977/6019, 5.8 task/s, elapsed: 514s, ETA: 525s [>>>>>>>>>>>>> ] 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[>>>>>>>>>>>>> ] 3009/6019, 5.8 task/s, elapsed: 519s, ETA: 520s [>>>>>>>>>>>>> ] 3010/6019, 5.8 task/s, elapsed: 520s, ETA: 519s [>>>>>>>>>>>>> ] 3011/6019, 5.8 task/s, elapsed: 520s, ETA: 519s [>>>>>>>>>>>>> ] 3012/6019, 5.8 task/s, elapsed: 520s, ETA: 519s [>>>>>>>>>>>>> ] 3013/6019, 5.8 task/s, elapsed: 520s, ETA: 519s [>>>>>>>>>>>>> ] 3014/6019, 5.8 task/s, elapsed: 520s, ETA: 519s [>>>>>>>>>>>>> ] 3015/6019, 5.8 task/s, elapsed: 520s, ETA: 519s [>>>>>>>>>>>>> ] 3016/6019, 5.8 task/s, elapsed: 521s, ETA: 518s [>>>>>>>>>>>>> ] 3017/6019, 5.8 task/s, elapsed: 521s, ETA: 518s [>>>>>>>>>>>>> ] 3018/6019, 5.8 task/s, elapsed: 521s, ETA: 518s [>>>>>>>>>>>>> ] 3019/6019, 5.8 task/s, elapsed: 521s, ETA: 518s [>>>>>>>>>>>>> ] 3020/6019, 5.8 task/s, elapsed: 521s, ETA: 518s [>>>>>>>>>>>>> ] 3021/6019, 5.8 task/s, elapsed: 521s, ETA: 517s [>>>>>>>>>>>>> ] 3022/6019, 5.8 task/s, elapsed: 522s, ETA: 517s [>>>>>>>>>>>>> ] 3023/6019, 5.8 task/s, elapsed: 522s, ETA: 517s [>>>>>>>>>>>>> ] 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elapsed: 524s, ETA: 514s [>>>>>>>>>>>>> ] 3040/6019, 5.8 task/s, elapsed: 525s, ETA: 514s [>>>>>>>>>>>>> ] 3041/6019, 5.8 task/s, elapsed: 525s, ETA: 514s [>>>>>>>>>>>>> ] 3042/6019, 5.8 task/s, elapsed: 525s, ETA: 514s [>>>>>>>>>>>>> ] 3043/6019, 5.8 task/s, elapsed: 525s, ETA: 514s [>>>>>>>>>>>>> ] 3044/6019, 5.8 task/s, elapsed: 525s, ETA: 513s [>>>>>>>>>>>>> ] 3045/6019, 5.8 task/s, elapsed: 525s, ETA: 513s [>>>>>>>>>>>>> ] 3046/6019, 5.8 task/s, elapsed: 526s, ETA: 513s [>>>>>>>>>>>>> ] 3047/6019, 5.8 task/s, elapsed: 526s, ETA: 513s [>>>>>>>>>>>>> ] 3048/6019, 5.8 task/s, elapsed: 526s, ETA: 513s [>>>>>>>>>>>>> ] 3049/6019, 5.8 task/s, elapsed: 526s, ETA: 512s [>>>>>>>>>>>>> ] 3050/6019, 5.8 task/s, elapsed: 526s, ETA: 512s [>>>>>>>>>>>>> ] 3051/6019, 5.8 task/s, elapsed: 526s, ETA: 512s [>>>>>>>>>>>>> ] 3052/6019, 5.8 task/s, elapsed: 527s, ETA: 512s [>>>>>>>>>>>>> ] 3053/6019, 5.8 task/s, elapsed: 527s, ETA: 512s [>>>>>>>>>>>>> ] 3054/6019, 5.8 task/s, elapsed: 527s, ETA: 512s [>>>>>>>>>>>>> ] 3055/6019, 5.8 task/s, elapsed: 527s, ETA: 511s [>>>>>>>>>>>>> ] 3056/6019, 5.8 task/s, elapsed: 527s, ETA: 511s [>>>>>>>>>>>>> ] 3057/6019, 5.8 task/s, elapsed: 527s, ETA: 511s [>>>>>>>>>>>>> ] 3058/6019, 5.8 task/s, elapsed: 528s, ETA: 511s [>>>>>>>>>>>>> ] 3059/6019, 5.8 task/s, elapsed: 528s, ETA: 511s [>>>>>>>>>>>>> ] 3060/6019, 5.8 task/s, elapsed: 528s, ETA: 511s [>>>>>>>>>>>>> ] 3061/6019, 5.8 task/s, elapsed: 528s, ETA: 510s [>>>>>>>>>>>>> ] 3062/6019, 5.8 task/s, elapsed: 528s, ETA: 510s [>>>>>>>>>>>>> ] 3063/6019, 5.8 task/s, elapsed: 528s, ETA: 510s [>>>>>>>>>>>>> ] 3064/6019, 5.8 task/s, elapsed: 529s, ETA: 510s [>>>>>>>>>>>>> ] 3065/6019, 5.8 task/s, elapsed: 529s, ETA: 510s [>>>>>>>>>>>>> ] 3066/6019, 5.8 task/s, elapsed: 529s, ETA: 509s [>>>>>>>>>>>>> ] 3067/6019, 5.8 task/s, elapsed: 529s, ETA: 509s [>>>>>>>>>>>>> ] 3068/6019, 5.8 task/s, elapsed: 529s, ETA: 509s [>>>>>>>>>>>>> ] 3069/6019, 5.8 task/s, elapsed: 529s, ETA: 509s [>>>>>>>>>>>>> ] 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] 4031/6019, 5.8 task/s, elapsed: 695s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4032/6019, 5.8 task/s, elapsed: 695s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4033/6019, 5.8 task/s, elapsed: 696s, ETA: 343s [>>>>>>>>>>>>>>>>>> ] 4034/6019, 5.8 task/s, elapsed: 696s, ETA: 342s [>>>>>>>>>>>>>>>>>> ] 4035/6019, 5.8 task/s, elapsed: 696s, ETA: 342s [>>>>>>>>>>>>>>>>>> ] 4036/6019, 5.8 task/s, elapsed: 696s, ETA: 342s [>>>>>>>>>>>>>>>>>> ] 4037/6019, 5.8 task/s, elapsed: 696s, ETA: 342s [>>>>>>>>>>>>>>>>>> ] 4038/6019, 5.8 task/s, elapsed: 697s, ETA: 342s [>>>>>>>>>>>>>>>>>> ] 4039/6019, 5.8 task/s, elapsed: 697s, ETA: 342s [>>>>>>>>>>>>>>>>>> ] 4040/6019, 5.8 task/s, elapsed: 697s, ETA: 341s [>>>>>>>>>>>>>>>>>> ] 4041/6019, 5.8 task/s, elapsed: 697s, ETA: 341s [>>>>>>>>>>>>>>>>>> ] 4042/6019, 5.8 task/s, elapsed: 697s, ETA: 341s [>>>>>>>>>>>>>>>>>> ] 4043/6019, 5.8 task/s, elapsed: 697s, ETA: 341s [>>>>>>>>>>>>>>>>>> ] 4044/6019, 5.8 task/s, elapsed: 698s, ETA: 341s [>>>>>>>>>>>>>>>>>> ] 4045/6019, 5.8 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] 4908/6019, 5.8 task/s, elapsed: 850s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4909/6019, 5.8 task/s, elapsed: 850s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4910/6019, 5.8 task/s, elapsed: 850s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4911/6019, 5.8 task/s, elapsed: 851s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4912/6019, 5.8 task/s, elapsed: 851s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4913/6019, 5.8 task/s, elapsed: 851s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>>> ] 4914/6019, 5.8 task/s, elapsed: 851s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>>> ] 4915/6019, 5.8 task/s, elapsed: 851s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>>> ] 4916/6019, 5.8 task/s, elapsed: 852s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>>> ] 4917/6019, 5.8 task/s, elapsed: 852s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>>> ] 4918/6019, 5.8 task/s, elapsed: 852s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>>> ] 4919/6019, 5.8 task/s, elapsed: 852s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>>> ] 4920/6019, 5.8 task/s, elapsed: 852s, ETA: 190s [>>>>>>>>>>>>>>>>>>>>>> ] 4921/6019, 5.8 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>>> ] 4935/6019, 5.8 task/s, elapsed: 855s, ETA: 188s [>>>>>>>>>>>>>>>>>>>>>> ] 4936/6019, 5.8 task/s, elapsed: 855s, ETA: 188s [>>>>>>>>>>>>>>>>>>>>>> ] 4937/6019, 5.8 task/s, elapsed: 855s, ETA: 187s [>>>>>>>>>>>>>>>>>>>>>> ] 4938/6019, 5.8 task/s, elapsed: 855s, ETA: 187s [>>>>>>>>>>>>>>>>>>>>>> ] 4939/6019, 5.8 task/s, elapsed: 856s, ETA: 187s [>>>>>>>>>>>>>>>>>>>>>> ] 4940/6019, 5.8 task/s, elapsed: 856s, ETA: 187s [>>>>>>>>>>>>>>>>>>>>>> ] 4941/6019, 5.8 task/s, elapsed: 856s, ETA: 187s [>>>>>>>>>>>>>>>>>>>>>> ] 4942/6019, 5.8 task/s, elapsed: 856s, ETA: 187s [>>>>>>>>>>>>>>>>>>>>>> ] 4943/6019, 5.8 task/s, elapsed: 856s, ETA: 186s [>>>>>>>>>>>>>>>>>>>>>> ] 4944/6019, 5.8 task/s, elapsed: 856s, ETA: 186s [>>>>>>>>>>>>>>>>>>>>>> ] 4945/6019, 5.8 task/s, elapsed: 857s, ETA: 186s [>>>>>>>>>>>>>>>>>>>>>> ] 4946/6019, 5.8 task/s, elapsed: 857s, ETA: 186s [>>>>>>>>>>>>>>>>>>>>>> ] 4947/6019, 5.8 task/s, elapsed: 857s, ETA: 186s [>>>>>>>>>>>>>>>>>>>>>> ] 4948/6019, 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] 5337/6019, 5.8 task/s, elapsed: 923s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5338/6019, 5.8 task/s, elapsed: 923s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5339/6019, 5.8 task/s, elapsed: 923s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5340/6019, 5.8 task/s, elapsed: 923s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5341/6019, 5.8 task/s, elapsed: 923s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5342/6019, 5.8 task/s, elapsed: 923s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5343/6019, 5.8 task/s, elapsed: 924s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5344/6019, 5.8 task/s, elapsed: 924s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5345/6019, 5.8 task/s, elapsed: 924s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5346/6019, 5.8 task/s, elapsed: 924s, ETA: 116s [>>>>>>>>>>>>>>>>>>>>>>> ] 5347/6019, 5.8 task/s, elapsed: 924s, ETA: 116s [>>>>>>>>>>>>>>>>>>>>>>> ] 5348/6019, 5.8 task/s, elapsed: 925s, ETA: 116s [>>>>>>>>>>>>>>>>>>>>>>> ] 5349/6019, 5.8 task/s, elapsed: 925s, ETA: 116s [>>>>>>>>>>>>>>>>>>>>>>> ] 5350/6019, 5.8 task/s, 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] 5468/6019, 5.8 task/s, elapsed: 946s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5469/6019, 5.8 task/s, elapsed: 946s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5470/6019, 5.8 task/s, elapsed: 946s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5471/6019, 5.8 task/s, elapsed: 946s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5472/6019, 5.8 task/s, elapsed: 946s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5473/6019, 5.8 task/s, elapsed: 946s, ETA: 94s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5474/6019, 5.8 task/s, elapsed: 947s, ETA: 94s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5475/6019, 5.8 task/s, elapsed: 947s, ETA: 94s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5476/6019, 5.8 task/s, elapsed: 947s, ETA: 94s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5477/6019, 5.8 task/s, elapsed: 947s, ETA: 94s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5478/6019, 5.8 task/s, elapsed: 947s, ETA: 94s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5479/6019, 5.8 task/s, elapsed: 948s, ETA: 93s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5480/6019, 5.8 task/s, elapsed: 948s, ETA: 93s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5481/6019, 5.8 task/s, 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] 5508/6019, 5.8 task/s, elapsed: 953s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5509/6019, 5.8 task/s, elapsed: 953s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5510/6019, 5.8 task/s, elapsed: 953s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5511/6019, 5.8 task/s, elapsed: 953s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5512/6019, 5.8 task/s, elapsed: 953s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5513/6019, 5.8 task/s, elapsed: 954s, ETA: 88s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5514/6019, 5.8 task/s, elapsed: 954s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5515/6019, 5.8 task/s, elapsed: 954s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5516/6019, 5.8 task/s, elapsed: 954s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5517/6019, 5.8 task/s, elapsed: 954s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5518/6019, 5.8 task/s, elapsed: 954s, ETA: 87s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5519/6019, 5.8 task/s, elapsed: 955s, ETA: 86s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5520/6019, 5.8 task/s, elapsed: 955s, ETA: 86s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5521/6019, 5.8 task/s, 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] 5548/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5549/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5550/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5551/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5552/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5553/6019, 5.8 task/s, elapsed: 961s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5554/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5555/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5556/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5557/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5558/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5559/6019, 5.8 task/s, elapsed: 962s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5560/6019, 5.8 task/s, elapsed: 962s, ETA: 79s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5561/6019, 5.8 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5705/6019, 5.7 task/s, elapsed: 992s, ETA: 55s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5706/6019, 5.7 task/s, elapsed: 992s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5707/6019, 5.7 task/s, elapsed: 993s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5708/6019, 5.7 task/s, elapsed: 993s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5709/6019, 5.7 task/s, elapsed: 993s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5710/6019, 5.7 task/s, elapsed: 993s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5711/6019, 5.7 task/s, elapsed: 993s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5712/6019, 5.7 task/s, elapsed: 993s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5713/6019, 5.7 task/s, elapsed: 994s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5714/6019, 5.7 task/s, elapsed: 994s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5715/6019, 5.7 task/s, elapsed: 994s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5716/6019, 5.7 task/s, elapsed: 994s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5717/6019, 5.7 task/s, elapsed: 994s, ETA: 53s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5731/6019, 5.7 task/s, elapsed: 997s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5732/6019, 5.7 task/s, elapsed: 997s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5733/6019, 5.7 task/s, elapsed: 997s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5734/6019, 5.7 task/s, elapsed: 997s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5735/6019, 5.7 task/s, elapsed: 998s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5736/6019, 5.7 task/s, elapsed: 998s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5737/6019, 5.7 task/s, elapsed: 998s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5738/6019, 5.7 task/s, elapsed: 998s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5739/6019, 5.7 task/s, elapsed: 998s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5740/6019, 5.7 task/s, elapsed: 998s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5741/6019, 5.7 task/s, elapsed: 999s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5742/6019, 5.7 task/s, elapsed: 999s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5743/6019, 5.7 task/s, elapsed: 999s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5744/6019, 5.7 task/s, elapsed: 999s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5745/6019, 5.7 task/s, elapsed: 999s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5746/6019, 5.7 task/s, elapsed: 1000s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5747/6019, 5.7 task/s, elapsed: 1000s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5748/6019, 5.7 task/s, elapsed: 1000s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5749/6019, 5.7 task/s, elapsed: 1000s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5750/6019, 5.7 task/s, elapsed: 1000s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5751/6019, 5.7 task/s, elapsed: 1000s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5752/6019, 5.7 task/s, elapsed: 1001s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5753/6019, 5.7 task/s, elapsed: 1001s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5754/6019, 5.7 task/s, elapsed: 1001s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5755/6019, 5.7 task/s, elapsed: 1001s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5756/6019, 5.7 task/s, elapsed: 1001s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5757/6019, 5.7 task/s, elapsed: 1002s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5758/6019, 5.7 task/s, elapsed: 1002s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5759/6019, 5.7 task/s, elapsed: 1002s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5760/6019, 5.7 task/s, elapsed: 1002s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5761/6019, 5.7 task/s, elapsed: 1002s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5762/6019, 5.7 task/s, elapsed: 1002s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5763/6019, 5.7 task/s, elapsed: 1003s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5764/6019, 5.7 task/s, elapsed: 1003s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5765/6019, 5.7 task/s, elapsed: 1003s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5766/6019, 5.7 task/s, elapsed: 1003s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5767/6019, 5.7 task/s, elapsed: 1003s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5768/6019, 5.7 task/s, elapsed: 1003s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5769/6019, 5.7 task/s, elapsed: 1004s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5770/6019, 5.7 task/s, elapsed: 1004s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5771/6019, 5.7 task/s, elapsed: 1004s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5772/6019, 5.7 task/s, elapsed: 1004s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5773/6019, 5.7 task/s, elapsed: 1004s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5774/6019, 5.7 task/s, elapsed: 1005s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5775/6019, 5.7 task/s, elapsed: 1005s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5776/6019, 5.7 task/s, elapsed: 1005s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5777/6019, 5.7 task/s, elapsed: 1005s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5778/6019, 5.7 task/s, elapsed: 1005s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5779/6019, 5.7 task/s, elapsed: 1005s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5780/6019, 5.7 task/s, elapsed: 1006s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5781/6019, 5.7 task/s, elapsed: 1006s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5782/6019, 5.7 task/s, elapsed: 1006s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5783/6019, 5.7 task/s, elapsed: 1006s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5784/6019, 5.7 task/s, elapsed: 1006s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5785/6019, 5.7 task/s, elapsed: 1007s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5786/6019, 5.7 task/s, elapsed: 1007s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5787/6019, 5.7 task/s, elapsed: 1007s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5788/6019, 5.7 task/s, elapsed: 1007s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5789/6019, 5.7 task/s, elapsed: 1007s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5790/6019, 5.7 task/s, elapsed: 1007s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5791/6019, 5.7 task/s, elapsed: 1008s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5792/6019, 5.7 task/s, elapsed: 1008s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5793/6019, 5.7 task/s, elapsed: 1008s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5794/6019, 5.7 task/s, elapsed: 1008s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5795/6019, 5.7 task/s, elapsed: 1008s, ETA: 39s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5809/6019, 5.7 task/s, elapsed: 1011s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5810/6019, 5.7 task/s, elapsed: 1011s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5811/6019, 5.7 task/s, elapsed: 1011s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5812/6019, 5.7 task/s, elapsed: 1011s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5813/6019, 5.7 task/s, elapsed: 1011s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5814/6019, 5.7 task/s, elapsed: 1012s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5815/6019, 5.7 task/s, elapsed: 1012s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5816/6019, 5.7 task/s, elapsed: 1012s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5817/6019, 5.7 task/s, elapsed: 1012s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5818/6019, 5.7 task/s, elapsed: 1012s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5819/6019, 5.7 task/s, elapsed: 1013s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5820/6019, 5.7 task/s, elapsed: 1013s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5821/6019, 5.7 task/s, elapsed: 1013s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5822/6019, 5.7 task/s, elapsed: 1013s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5823/6019, 5.7 task/s, elapsed: 1013s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5824/6019, 5.7 task/s, elapsed: 1013s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5825/6019, 5.7 task/s, elapsed: 1014s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5826/6019, 5.7 task/s, elapsed: 1014s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5827/6019, 5.7 task/s, elapsed: 1014s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5828/6019, 5.7 task/s, elapsed: 1014s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5829/6019, 5.7 task/s, elapsed: 1014s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5830/6019, 5.7 task/s, elapsed: 1015s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5831/6019, 5.7 task/s, elapsed: 1015s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5832/6019, 5.7 task/s, elapsed: 1015s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5833/6019, 5.7 task/s, elapsed: 1015s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5834/6019, 5.7 task/s, elapsed: 1015s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5835/6019, 5.7 task/s, elapsed: 1015s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5836/6019, 5.7 task/s, elapsed: 1016s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.7 task/s, elapsed: 1016s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.7 task/s, elapsed: 1016s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.7 task/s, elapsed: 1016s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.7 task/s, elapsed: 1016s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.7 task/s, elapsed: 1017s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5842/6019, 5.7 task/s, elapsed: 1017s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5843/6019, 5.7 task/s, elapsed: 1017s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5844/6019, 5.7 task/s, elapsed: 1017s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5845/6019, 5.7 task/s, elapsed: 1017s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5846/6019, 5.7 task/s, elapsed: 1017s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5847/6019, 5.7 task/s, elapsed: 1018s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5848/6019, 5.7 task/s, elapsed: 1018s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5849/6019, 5.7 task/s, elapsed: 1018s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5850/6019, 5.7 task/s, elapsed: 1018s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5851/6019, 5.7 task/s, elapsed: 1018s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5852/6019, 5.7 task/s, elapsed: 1019s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5853/6019, 5.7 task/s, elapsed: 1019s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5854/6019, 5.7 task/s, elapsed: 1019s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.7 task/s, elapsed: 1019s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.7 task/s, elapsed: 1019s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5857/6019, 5.7 task/s, elapsed: 1019s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5858/6019, 5.7 task/s, elapsed: 1020s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5859/6019, 5.7 task/s, elapsed: 1020s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5860/6019, 5.7 task/s, elapsed: 1020s, ETA: 28s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5887/6019, 5.7 task/s, elapsed: 1025s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5888/6019, 5.7 task/s, elapsed: 1025s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5889/6019, 5.7 task/s, elapsed: 1025s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5890/6019, 5.7 task/s, elapsed: 1025s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5891/6019, 5.7 task/s, elapsed: 1025s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5892/6019, 5.7 task/s, elapsed: 1026s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5893/6019, 5.7 task/s, elapsed: 1026s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5894/6019, 5.7 task/s, elapsed: 1026s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5895/6019, 5.7 task/s, elapsed: 1026s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5896/6019, 5.7 task/s, elapsed: 1026s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.7 task/s, elapsed: 1027s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.7 task/s, elapsed: 1027s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.7 task/s, elapsed: 1027s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.7 task/s, elapsed: 1027s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.7 task/s, elapsed: 1027s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.7 task/s, elapsed: 1027s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.7 task/s, elapsed: 1028s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.7 task/s, elapsed: 1028s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.7 task/s, elapsed: 1028s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.7 task/s, elapsed: 1028s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.7 task/s, elapsed: 1028s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.7 task/s, elapsed: 1028s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.7 task/s, elapsed: 1029s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.7 task/s, elapsed: 1029s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.7 task/s, elapsed: 1029s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.7 task/s, elapsed: 1029s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.7 task/s, elapsed: 1029s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.7 task/s, elapsed: 1029s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.7 task/s, elapsed: 1030s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.7 task/s, elapsed: 1030s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.7 task/s, elapsed: 1030s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.7 task/s, elapsed: 1030s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.7 task/s, elapsed: 1030s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.7 task/s, elapsed: 1031s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.7 task/s, elapsed: 1031s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.7 task/s, elapsed: 1031s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.7 task/s, elapsed: 1031s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.7 task/s, elapsed: 1031s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.7 task/s, elapsed: 1031s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.7 task/s, elapsed: 1032s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.7 task/s, elapsed: 1032s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.7 task/s, elapsed: 1032s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.7 task/s, elapsed: 1032s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.7 task/s, elapsed: 1032s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.7 task/s, elapsed: 1032s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.7 task/s, elapsed: 1033s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.7 task/s, elapsed: 1033s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.7 task/s, elapsed: 1033s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.7 task/s, elapsed: 1033s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.7 task/s, elapsed: 1033s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.7 task/s, elapsed: 1034s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.7 task/s, elapsed: 1034s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.7 task/s, elapsed: 1034s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.7 task/s, elapsed: 1034s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.7 task/s, elapsed: 1034s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.7 task/s, elapsed: 1034s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.7 task/s, elapsed: 1035s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.7 task/s, elapsed: 1035s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.7 task/s, elapsed: 1035s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.7 task/s, elapsed: 1035s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.7 task/s, elapsed: 1035s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.7 task/s, elapsed: 1036s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.7 task/s, elapsed: 1036s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.7 task/s, elapsed: 1036s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.7 task/s, elapsed: 1036s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.7 task/s, elapsed: 1036s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.7 task/s, elapsed: 1036s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.7 task/s, elapsed: 1037s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.7 task/s, elapsed: 1037s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.7 task/s, elapsed: 1037s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.7 task/s, elapsed: 1037s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.7 task/s, elapsed: 1037s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.7 task/s, elapsed: 1037s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.7 task/s, elapsed: 1038s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.7 task/s, elapsed: 1038s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.7 task/s, elapsed: 1038s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.7 task/s, elapsed: 1038s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.7 task/s, elapsed: 1038s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.7 task/s, elapsed: 1039s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.7 task/s, elapsed: 1039s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.7 task/s, elapsed: 1039s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.7 task/s, elapsed: 1039s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.7 task/s, elapsed: 1039s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.7 task/s, elapsed: 1039s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.7 task/s, elapsed: 1040s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.7 task/s, elapsed: 1040s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.7 task/s, elapsed: 1040s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.7 task/s, elapsed: 1040s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.7 task/s, elapsed: 1040s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.7 task/s, elapsed: 1040s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.7 task/s, elapsed: 1041s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.7 task/s, elapsed: 1041s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.7 task/s, elapsed: 1041s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.7 task/s, elapsed: 1041s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.7 task/s, elapsed: 1041s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.7 task/s, elapsed: 1042s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.7 task/s, elapsed: 1042s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.7 task/s, elapsed: 1042s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.7 task/s, elapsed: 1042s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.7 task/s, elapsed: 1042s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.7 task/s, elapsed: 1042s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.7 task/s, elapsed: 1043s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.7 task/s, elapsed: 1043s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.7 task/s, elapsed: 1043s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.7 task/s, elapsed: 1043s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.7 task/s, elapsed: 1043s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.7 task/s, elapsed: 1044s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.7 task/s, elapsed: 1044s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.7 task/s, elapsed: 1044s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.7 task/s, elapsed: 1044s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.7 task/s, elapsed: 1044s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.7 task/s, elapsed: 1044s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.7 task/s, elapsed: 1045s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.7 task/s, elapsed: 1045s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.7 task/s, elapsed: 1045s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.7 task/s, elapsed: 1045s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.7 task/s, elapsed: 1045s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.7 task/s, elapsed: 1046s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.7 task/s, elapsed: 1046s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.7 task/s, elapsed: 1046s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.7 task/s, elapsed: 1046s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.7 task/s, elapsed: 1046s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.7 task/s, elapsed: 1046s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.7 task/s, elapsed: 1047s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.7 task/s, elapsed: 1047s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.7 task/s, elapsed: 1047s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.7 task/s, elapsed: 1047s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.7 task/s, elapsed: 1047s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.7 task/s, elapsed: 1048s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.7 task/s, elapsed: 1048s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.7 task/s, elapsed: 1048s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.7 task/s, elapsed: 1048s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.7 task/s, elapsed: 1048s, ETA: 0s +Results writes to /tmp/tmplrll0885/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.0 task/s, elapsed: 35s, ETA: 968s [> ] 209/6019, 6.0 task/s, elapsed: 35s, ETA: 968s [> ] 210/6019, 6.0 task/s, elapsed: 35s, ETA: 968s [> ] 211/6019, 6.0 task/s, elapsed: 35s, ETA: 968s [> ] 212/6019, 6.0 task/s, elapsed: 35s, ETA: 967s [> ] 213/6019, 6.0 task/s, elapsed: 35s, ETA: 967s [> ] 214/6019, 6.0 task/s, elapsed: 36s, ETA: 967s [> ] 215/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 216/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 217/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 218/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 219/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 220/6019, 6.0 task/s, elapsed: 37s, ETA: 966s [> ] 221/6019, 6.0 task/s, elapsed: 37s, ETA: 966s [> ] 222/6019, 6.0 task/s, elapsed: 37s, ETA: 966s [> ] 223/6019, 6.0 task/s, elapsed: 37s, ETA: 966s [> ] 224/6019, 6.0 task/s, elapsed: 37s, ETA: 965s [> ] 225/6019, 6.0 task/s, elapsed: 37s, ETA: 965s [> ] 226/6019, 6.0 task/s, elapsed: 38s, ETA: 965s [> ] 227/6019, 6.0 task/s, elapsed: 38s, ETA: 965s [> ] 228/6019, 6.0 task/s, elapsed: 38s, ETA: 965s [> ] 229/6019, 6.0 task/s, elapsed: 38s, ETA: 965s [> ] 230/6019, 6.0 task/s, elapsed: 38s, ETA: 965s [> ] 231/6019, 6.0 task/s, elapsed: 39s, ETA: 965s [> ] 232/6019, 6.0 task/s, elapsed: 39s, ETA: 965s [> ] 233/6019, 6.0 task/s, elapsed: 39s, ETA: 965s [> ] 234/6019, 6.0 task/s, elapsed: 39s, ETA: 965s [> ] 235/6019, 6.0 task/s, elapsed: 39s, ETA: 965s [> ] 236/6019, 6.0 task/s, elapsed: 39s, ETA: 965s [> ] 237/6019, 6.0 task/s, elapsed: 40s, ETA: 965s [> ] 238/6019, 6.0 task/s, elapsed: 40s, ETA: 965s [> ] 239/6019, 6.0 task/s, elapsed: 40s, ETA: 965s 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] 3839/6019, 5.9 task/s, elapsed: 654s, ETA: 372s [>>>>>>>>>>>>>>>>> ] 3840/6019, 5.9 task/s, elapsed: 655s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3841/6019, 5.9 task/s, elapsed: 655s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3842/6019, 5.9 task/s, elapsed: 655s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3843/6019, 5.9 task/s, elapsed: 655s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3844/6019, 5.9 task/s, elapsed: 655s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3845/6019, 5.9 task/s, elapsed: 655s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3846/6019, 5.9 task/s, elapsed: 656s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3847/6019, 5.9 task/s, elapsed: 656s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3848/6019, 5.9 task/s, elapsed: 656s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3849/6019, 5.9 task/s, elapsed: 656s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3850/6019, 5.9 task/s, elapsed: 656s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3851/6019, 5.9 task/s, elapsed: 657s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.9 task/s, elapsed: 657s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.9 task/s, elapsed: 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] 3868/6019, 5.9 task/s, elapsed: 660s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3869/6019, 5.9 task/s, elapsed: 660s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3870/6019, 5.9 task/s, elapsed: 660s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3871/6019, 5.9 task/s, elapsed: 660s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3872/6019, 5.9 task/s, elapsed: 660s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3873/6019, 5.9 task/s, elapsed: 660s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3874/6019, 5.9 task/s, elapsed: 661s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3875/6019, 5.9 task/s, elapsed: 661s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3876/6019, 5.9 task/s, elapsed: 661s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3877/6019, 5.9 task/s, elapsed: 661s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3878/6019, 5.9 task/s, elapsed: 661s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3879/6019, 5.9 task/s, elapsed: 661s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3880/6019, 5.9 task/s, elapsed: 662s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.9 task/s, elapsed: 662s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.9 task/s, elapsed: 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] 3897/6019, 5.9 task/s, elapsed: 665s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3898/6019, 5.9 task/s, elapsed: 665s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3899/6019, 5.9 task/s, elapsed: 665s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3900/6019, 5.9 task/s, elapsed: 665s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3901/6019, 5.9 task/s, elapsed: 665s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3902/6019, 5.9 task/s, elapsed: 665s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3903/6019, 5.9 task/s, elapsed: 666s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3904/6019, 5.9 task/s, elapsed: 666s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3905/6019, 5.9 task/s, elapsed: 666s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3906/6019, 5.9 task/s, elapsed: 666s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3907/6019, 5.9 task/s, elapsed: 666s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3908/6019, 5.9 task/s, elapsed: 666s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3909/6019, 5.9 task/s, elapsed: 667s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3910/6019, 5.9 task/s, elapsed: 667s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3911/6019, 5.9 task/s, elapsed: 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] 3926/6019, 5.9 task/s, elapsed: 670s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3927/6019, 5.9 task/s, elapsed: 670s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3928/6019, 5.9 task/s, elapsed: 670s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3929/6019, 5.9 task/s, elapsed: 670s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3930/6019, 5.9 task/s, elapsed: 670s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3931/6019, 5.9 task/s, elapsed: 670s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3932/6019, 5.9 task/s, elapsed: 671s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3933/6019, 5.9 task/s, elapsed: 671s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3934/6019, 5.9 task/s, elapsed: 671s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3935/6019, 5.9 task/s, elapsed: 671s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3936/6019, 5.9 task/s, elapsed: 671s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3937/6019, 5.9 task/s, elapsed: 671s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3938/6019, 5.9 task/s, elapsed: 672s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3939/6019, 5.9 task/s, elapsed: 672s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3940/6019, 5.9 task/s, elapsed: 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] 3955/6019, 5.9 task/s, elapsed: 674s, ETA: 352s [>>>>>>>>>>>>>>>>> ] 3956/6019, 5.9 task/s, elapsed: 674s, ETA: 352s [>>>>>>>>>>>>>>>>> ] 3957/6019, 5.9 task/s, elapsed: 675s, ETA: 352s [>>>>>>>>>>>>>>>>> ] 3958/6019, 5.9 task/s, elapsed: 675s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3959/6019, 5.9 task/s, elapsed: 675s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3960/6019, 5.9 task/s, elapsed: 675s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3961/6019, 5.9 task/s, elapsed: 675s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3962/6019, 5.9 task/s, elapsed: 675s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3963/6019, 5.9 task/s, elapsed: 676s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3964/6019, 5.9 task/s, elapsed: 676s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3965/6019, 5.9 task/s, elapsed: 676s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3966/6019, 5.9 task/s, elapsed: 676s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3967/6019, 5.9 task/s, elapsed: 676s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3968/6019, 5.9 task/s, elapsed: 676s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3969/6019, 5.9 task/s, elapsed: 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] 5240/6019, 5.8 task/s, elapsed: 900s, ETA: 134s [>>>>>>>>>>>>>>>>>>>>>>> ] 5241/6019, 5.8 task/s, elapsed: 901s, ETA: 134s [>>>>>>>>>>>>>>>>>>>>>>> ] 5242/6019, 5.8 task/s, elapsed: 901s, ETA: 134s [>>>>>>>>>>>>>>>>>>>>>>> ] 5243/6019, 5.8 task/s, elapsed: 901s, ETA: 133s [>>>>>>>>>>>>>>>>>>>>>>> ] 5244/6019, 5.8 task/s, elapsed: 901s, ETA: 133s [>>>>>>>>>>>>>>>>>>>>>>> ] 5245/6019, 5.8 task/s, elapsed: 901s, ETA: 133s [>>>>>>>>>>>>>>>>>>>>>>> ] 5246/6019, 5.8 task/s, elapsed: 901s, ETA: 133s [>>>>>>>>>>>>>>>>>>>>>>> ] 5247/6019, 5.8 task/s, elapsed: 902s, ETA: 133s [>>>>>>>>>>>>>>>>>>>>>>> ] 5248/6019, 5.8 task/s, elapsed: 902s, ETA: 132s [>>>>>>>>>>>>>>>>>>>>>>> ] 5249/6019, 5.8 task/s, elapsed: 902s, ETA: 132s [>>>>>>>>>>>>>>>>>>>>>>> ] 5250/6019, 5.8 task/s, elapsed: 902s, ETA: 132s [>>>>>>>>>>>>>>>>>>>>>>> ] 5251/6019, 5.8 task/s, elapsed: 902s, ETA: 132s [>>>>>>>>>>>>>>>>>>>>>>> ] 5252/6019, 5.8 task/s, elapsed: 902s, ETA: 132s [>>>>>>>>>>>>>>>>>>>>>>> ] 5253/6019, 5.8 task/s, 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] 5280/6019, 5.8 task/s, elapsed: 907s, ETA: 127s [>>>>>>>>>>>>>>>>>>>>>>> ] 5281/6019, 5.8 task/s, elapsed: 907s, ETA: 127s [>>>>>>>>>>>>>>>>>>>>>>> ] 5282/6019, 5.8 task/s, elapsed: 907s, ETA: 127s [>>>>>>>>>>>>>>>>>>>>>>> ] 5283/6019, 5.8 task/s, elapsed: 907s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5284/6019, 5.8 task/s, elapsed: 908s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5285/6019, 5.8 task/s, elapsed: 908s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5286/6019, 5.8 task/s, elapsed: 908s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5287/6019, 5.8 task/s, elapsed: 908s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5288/6019, 5.8 task/s, elapsed: 908s, ETA: 126s [>>>>>>>>>>>>>>>>>>>>>>> ] 5289/6019, 5.8 task/s, elapsed: 908s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5290/6019, 5.8 task/s, elapsed: 909s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5291/6019, 5.8 task/s, elapsed: 909s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5292/6019, 5.8 task/s, elapsed: 909s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5293/6019, 5.8 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5636/6019, 5.8 task/s, elapsed: 969s, ETA: 66s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5637/6019, 5.8 task/s, elapsed: 969s, ETA: 66s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5638/6019, 5.8 task/s, elapsed: 969s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5639/6019, 5.8 task/s, elapsed: 969s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5640/6019, 5.8 task/s, elapsed: 970s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5641/6019, 5.8 task/s, elapsed: 970s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5642/6019, 5.8 task/s, elapsed: 970s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5643/6019, 5.8 task/s, elapsed: 970s, ETA: 65s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5644/6019, 5.8 task/s, elapsed: 970s, ETA: 64s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5645/6019, 5.8 task/s, elapsed: 970s, ETA: 64s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5646/6019, 5.8 task/s, elapsed: 971s, ETA: 64s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5647/6019, 5.8 task/s, elapsed: 971s, ETA: 64s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5648/6019, 5.8 task/s, elapsed: 971s, ETA: 64s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5688/6019, 5.8 task/s, elapsed: 978s, ETA: 57s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5689/6019, 5.8 task/s, elapsed: 978s, ETA: 57s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5690/6019, 5.8 task/s, elapsed: 978s, ETA: 57s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5691/6019, 5.8 task/s, elapsed: 979s, ETA: 56s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5692/6019, 5.8 task/s, elapsed: 979s, ETA: 56s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5693/6019, 5.8 task/s, elapsed: 979s, ETA: 56s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5694/6019, 5.8 task/s, elapsed: 979s, ETA: 56s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5695/6019, 5.8 task/s, elapsed: 980s, ETA: 56s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5696/6019, 5.8 task/s, elapsed: 980s, ETA: 56s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5697/6019, 5.8 task/s, elapsed: 980s, ETA: 55s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5698/6019, 5.8 task/s, elapsed: 981s, ETA: 55s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5699/6019, 5.8 task/s, elapsed: 981s, ETA: 55s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5700/6019, 5.8 task/s, elapsed: 981s, ETA: 55s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5701/6019, 5.8 task/s, elapsed: 982s, ETA: 55s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5702/6019, 5.8 task/s, elapsed: 982s, ETA: 55s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5703/6019, 5.8 task/s, elapsed: 982s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5704/6019, 5.8 task/s, elapsed: 982s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5705/6019, 5.8 task/s, elapsed: 983s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5706/6019, 5.8 task/s, elapsed: 983s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5707/6019, 5.8 task/s, elapsed: 983s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5708/6019, 5.8 task/s, elapsed: 983s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5709/6019, 5.8 task/s, elapsed: 983s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5710/6019, 5.8 task/s, elapsed: 984s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5711/6019, 5.8 task/s, elapsed: 984s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5712/6019, 5.8 task/s, elapsed: 984s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5713/6019, 5.8 task/s, elapsed: 984s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5714/6019, 5.8 task/s, elapsed: 984s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5715/6019, 5.8 task/s, elapsed: 985s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5716/6019, 5.8 task/s, elapsed: 985s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5717/6019, 5.8 task/s, elapsed: 985s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5718/6019, 5.8 task/s, elapsed: 985s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5719/6019, 5.8 task/s, elapsed: 985s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5720/6019, 5.8 task/s, elapsed: 985s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5721/6019, 5.8 task/s, elapsed: 986s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5722/6019, 5.8 task/s, elapsed: 986s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5723/6019, 5.8 task/s, elapsed: 986s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5724/6019, 5.8 task/s, elapsed: 986s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5725/6019, 5.8 task/s, elapsed: 986s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5726/6019, 5.8 task/s, elapsed: 986s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5727/6019, 5.8 task/s, elapsed: 987s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5728/6019, 5.8 task/s, elapsed: 987s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5729/6019, 5.8 task/s, elapsed: 987s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5730/6019, 5.8 task/s, elapsed: 987s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5731/6019, 5.8 task/s, elapsed: 987s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5732/6019, 5.8 task/s, elapsed: 988s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5733/6019, 5.8 task/s, elapsed: 988s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5734/6019, 5.8 task/s, elapsed: 988s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5735/6019, 5.8 task/s, elapsed: 988s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5736/6019, 5.8 task/s, elapsed: 988s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5737/6019, 5.8 task/s, elapsed: 988s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5738/6019, 5.8 task/s, elapsed: 989s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5739/6019, 5.8 task/s, elapsed: 989s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5740/6019, 5.8 task/s, elapsed: 989s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5741/6019, 5.8 task/s, elapsed: 989s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5742/6019, 5.8 task/s, elapsed: 989s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5743/6019, 5.8 task/s, elapsed: 989s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5744/6019, 5.8 task/s, elapsed: 990s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5745/6019, 5.8 task/s, elapsed: 990s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5746/6019, 5.8 task/s, elapsed: 990s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5747/6019, 5.8 task/s, elapsed: 990s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5748/6019, 5.8 task/s, elapsed: 990s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5749/6019, 5.8 task/s, elapsed: 991s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5750/6019, 5.8 task/s, elapsed: 991s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5751/6019, 5.8 task/s, elapsed: 991s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5752/6019, 5.8 task/s, elapsed: 991s, ETA: 46s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5805/6019, 5.8 task/s, elapsed: 1000s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5806/6019, 5.8 task/s, elapsed: 1001s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5807/6019, 5.8 task/s, elapsed: 1001s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5808/6019, 5.8 task/s, elapsed: 1001s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5809/6019, 5.8 task/s, elapsed: 1001s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5810/6019, 5.8 task/s, elapsed: 1001s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5811/6019, 5.8 task/s, elapsed: 1001s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5812/6019, 5.8 task/s, elapsed: 1002s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5813/6019, 5.8 task/s, elapsed: 1002s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5814/6019, 5.8 task/s, elapsed: 1002s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5815/6019, 5.8 task/s, elapsed: 1002s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5816/6019, 5.8 task/s, elapsed: 1002s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5817/6019, 5.8 task/s, elapsed: 1003s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5818/6019, 5.8 task/s, elapsed: 1003s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5819/6019, 5.8 task/s, elapsed: 1003s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5820/6019, 5.8 task/s, elapsed: 1003s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5821/6019, 5.8 task/s, elapsed: 1003s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5822/6019, 5.8 task/s, elapsed: 1003s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5823/6019, 5.8 task/s, elapsed: 1004s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5824/6019, 5.8 task/s, elapsed: 1004s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5825/6019, 5.8 task/s, elapsed: 1004s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5826/6019, 5.8 task/s, elapsed: 1004s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5827/6019, 5.8 task/s, elapsed: 1004s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5828/6019, 5.8 task/s, elapsed: 1004s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5829/6019, 5.8 task/s, elapsed: 1005s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5830/6019, 5.8 task/s, elapsed: 1005s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5831/6019, 5.8 task/s, elapsed: 1005s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5832/6019, 5.8 task/s, elapsed: 1005s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5833/6019, 5.8 task/s, elapsed: 1005s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5834/6019, 5.8 task/s, elapsed: 1006s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5835/6019, 5.8 task/s, elapsed: 1006s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5836/6019, 5.8 task/s, elapsed: 1006s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.8 task/s, elapsed: 1006s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.8 task/s, elapsed: 1006s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.8 task/s, elapsed: 1006s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.8 task/s, elapsed: 1007s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.8 task/s, elapsed: 1007s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5842/6019, 5.8 task/s, elapsed: 1007s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5843/6019, 5.8 task/s, elapsed: 1007s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5844/6019, 5.8 task/s, elapsed: 1007s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5845/6019, 5.8 task/s, elapsed: 1008s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5846/6019, 5.8 task/s, elapsed: 1008s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5847/6019, 5.8 task/s, elapsed: 1008s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5848/6019, 5.8 task/s, elapsed: 1008s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5849/6019, 5.8 task/s, elapsed: 1008s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5850/6019, 5.8 task/s, elapsed: 1008s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5851/6019, 5.8 task/s, elapsed: 1009s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5852/6019, 5.8 task/s, elapsed: 1009s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5853/6019, 5.8 task/s, elapsed: 1009s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5854/6019, 5.8 task/s, elapsed: 1009s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.8 task/s, elapsed: 1009s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.8 task/s, elapsed: 1009s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5857/6019, 5.8 task/s, elapsed: 1010s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5858/6019, 5.8 task/s, elapsed: 1010s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5859/6019, 5.8 task/s, elapsed: 1010s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5860/6019, 5.8 task/s, elapsed: 1010s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5861/6019, 5.8 task/s, elapsed: 1010s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5862/6019, 5.8 task/s, elapsed: 1011s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5863/6019, 5.8 task/s, elapsed: 1011s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5864/6019, 5.8 task/s, elapsed: 1011s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5865/6019, 5.8 task/s, elapsed: 1011s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5866/6019, 5.8 task/s, elapsed: 1011s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5867/6019, 5.8 task/s, elapsed: 1011s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5868/6019, 5.8 task/s, elapsed: 1012s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5869/6019, 5.8 task/s, elapsed: 1012s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5870/6019, 5.8 task/s, elapsed: 1012s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5871/6019, 5.8 task/s, elapsed: 1012s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5872/6019, 5.8 task/s, elapsed: 1012s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.8 task/s, elapsed: 1013s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.8 task/s, elapsed: 1013s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.8 task/s, elapsed: 1013s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.8 task/s, elapsed: 1013s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5877/6019, 5.8 task/s, elapsed: 1013s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5878/6019, 5.8 task/s, elapsed: 1013s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5879/6019, 5.8 task/s, elapsed: 1014s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5880/6019, 5.8 task/s, elapsed: 1014s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5881/6019, 5.8 task/s, elapsed: 1014s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5882/6019, 5.8 task/s, elapsed: 1014s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5883/6019, 5.8 task/s, elapsed: 1014s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5884/6019, 5.8 task/s, elapsed: 1014s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5885/6019, 5.8 task/s, elapsed: 1015s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5886/6019, 5.8 task/s, elapsed: 1015s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5887/6019, 5.8 task/s, elapsed: 1015s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5888/6019, 5.8 task/s, elapsed: 1015s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5889/6019, 5.8 task/s, elapsed: 1015s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5890/6019, 5.8 task/s, elapsed: 1016s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5891/6019, 5.8 task/s, elapsed: 1016s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5892/6019, 5.8 task/s, elapsed: 1016s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5893/6019, 5.8 task/s, elapsed: 1016s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5894/6019, 5.8 task/s, elapsed: 1016s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5895/6019, 5.8 task/s, elapsed: 1016s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5896/6019, 5.8 task/s, elapsed: 1017s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.8 task/s, elapsed: 1017s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.8 task/s, elapsed: 1017s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.8 task/s, elapsed: 1017s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.8 task/s, elapsed: 1017s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.8 task/s, elapsed: 1017s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.8 task/s, elapsed: 1018s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.8 task/s, elapsed: 1018s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.8 task/s, elapsed: 1018s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.8 task/s, elapsed: 1018s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.8 task/s, elapsed: 1018s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.8 task/s, elapsed: 1018s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.8 task/s, elapsed: 1019s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.8 task/s, elapsed: 1019s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.8 task/s, elapsed: 1019s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.8 task/s, elapsed: 1019s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.8 task/s, elapsed: 1019s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.8 task/s, elapsed: 1019s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.8 task/s, elapsed: 1020s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.8 task/s, elapsed: 1020s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.8 task/s, elapsed: 1020s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.8 task/s, elapsed: 1020s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.8 task/s, elapsed: 1020s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.8 task/s, elapsed: 1021s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.8 task/s, elapsed: 1021s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.8 task/s, elapsed: 1021s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.8 task/s, elapsed: 1021s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.8 task/s, elapsed: 1021s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.8 task/s, elapsed: 1021s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.8 task/s, elapsed: 1022s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.8 task/s, elapsed: 1022s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.8 task/s, elapsed: 1022s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.8 task/s, elapsed: 1022s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.8 task/s, elapsed: 1022s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.8 task/s, elapsed: 1022s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.8 task/s, elapsed: 1023s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.8 task/s, elapsed: 1023s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.8 task/s, elapsed: 1023s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.8 task/s, elapsed: 1023s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.8 task/s, elapsed: 1023s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.8 task/s, elapsed: 1024s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.8 task/s, elapsed: 1024s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.8 task/s, elapsed: 1024s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.8 task/s, elapsed: 1024s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.8 task/s, elapsed: 1024s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.8 task/s, elapsed: 1024s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.8 task/s, elapsed: 1025s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.8 task/s, elapsed: 1025s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.8 task/s, elapsed: 1025s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.8 task/s, elapsed: 1025s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.8 task/s, elapsed: 1025s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.8 task/s, elapsed: 1025s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.8 task/s, elapsed: 1026s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.8 task/s, elapsed: 1026s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.8 task/s, elapsed: 1026s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.8 task/s, elapsed: 1026s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.8 task/s, elapsed: 1026s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.8 task/s, elapsed: 1027s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.8 task/s, elapsed: 1027s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.8 task/s, elapsed: 1027s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.8 task/s, elapsed: 1027s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.8 task/s, elapsed: 1027s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.8 task/s, elapsed: 1027s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.8 task/s, elapsed: 1028s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.8 task/s, elapsed: 1028s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.8 task/s, elapsed: 1028s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.8 task/s, elapsed: 1028s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.8 task/s, elapsed: 1028s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.8 task/s, elapsed: 1028s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.8 task/s, elapsed: 1029s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.8 task/s, elapsed: 1029s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.8 task/s, elapsed: 1029s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.8 task/s, elapsed: 1029s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.8 task/s, elapsed: 1029s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.8 task/s, elapsed: 1030s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.8 task/s, elapsed: 1030s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.8 task/s, elapsed: 1030s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.8 task/s, elapsed: 1030s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.8 task/s, elapsed: 1030s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.8 task/s, elapsed: 1030s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.8 task/s, elapsed: 1031s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.8 task/s, elapsed: 1031s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.8 task/s, elapsed: 1031s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.8 task/s, elapsed: 1031s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.8 task/s, elapsed: 1031s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.8 task/s, elapsed: 1031s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.8 task/s, elapsed: 1032s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.8 task/s, elapsed: 1032s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.8 task/s, elapsed: 1032s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.8 task/s, elapsed: 1032s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.8 task/s, elapsed: 1032s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.8 task/s, elapsed: 1033s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.8 task/s, elapsed: 1033s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.8 task/s, elapsed: 1033s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.8 task/s, elapsed: 1033s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.8 task/s, elapsed: 1033s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.8 task/s, elapsed: 1033s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.8 task/s, elapsed: 1034s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.8 task/s, elapsed: 1034s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.8 task/s, elapsed: 1034s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.8 task/s, elapsed: 1034s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.8 task/s, elapsed: 1034s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.8 task/s, elapsed: 1035s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.8 task/s, elapsed: 1035s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.8 task/s, elapsed: 1035s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.8 task/s, elapsed: 1035s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.8 task/s, elapsed: 1035s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.8 task/s, elapsed: 1035s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.8 task/s, elapsed: 1036s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.8 task/s, elapsed: 1036s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.8 task/s, elapsed: 1036s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.8 task/s, elapsed: 1036s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.8 task/s, elapsed: 1036s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.8 task/s, elapsed: 1037s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.8 task/s, elapsed: 1037s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.8 task/s, elapsed: 1037s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.8 task/s, elapsed: 1037s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.8 task/s, elapsed: 1037s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.8 task/s, elapsed: 1037s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.8 task/s, elapsed: 1038s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.8 task/s, elapsed: 1038s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.8 task/s, elapsed: 1038s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.8 task/s, elapsed: 1038s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.8 task/s, elapsed: 1038s, ETA: 0s +Results writes to /tmp/tmp3ucdoh5s/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.0 task/s, elapsed: 35s, ETA: 973s [> ] 209/6019, 6.0 task/s, elapsed: 35s, ETA: 973s [> ] 210/6019, 6.0 task/s, elapsed: 35s, ETA: 973s [> ] 211/6019, 6.0 task/s, elapsed: 35s, ETA: 972s [> ] 212/6019, 6.0 task/s, elapsed: 35s, ETA: 972s [> ] 213/6019, 6.0 task/s, elapsed: 36s, ETA: 972s [> ] 214/6019, 6.0 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] 5547/6019, 5.8 task/s, elapsed: 959s, ETA: 82s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5548/6019, 5.8 task/s, elapsed: 959s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5549/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5550/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5551/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5552/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5553/6019, 5.8 task/s, elapsed: 960s, ETA: 81s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5554/6019, 5.8 task/s, elapsed: 960s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5555/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5556/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5557/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5558/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5559/6019, 5.8 task/s, elapsed: 961s, ETA: 80s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5560/6019, 5.8 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5730/6019, 5.8 task/s, elapsed: 992s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5731/6019, 5.8 task/s, elapsed: 992s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5732/6019, 5.8 task/s, elapsed: 992s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5733/6019, 5.8 task/s, elapsed: 992s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5734/6019, 5.8 task/s, elapsed: 992s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5735/6019, 5.8 task/s, elapsed: 992s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5736/6019, 5.8 task/s, elapsed: 993s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5737/6019, 5.8 task/s, elapsed: 993s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5738/6019, 5.8 task/s, elapsed: 993s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5739/6019, 5.8 task/s, elapsed: 993s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5740/6019, 5.8 task/s, elapsed: 993s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5741/6019, 5.8 task/s, elapsed: 994s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5742/6019, 5.8 task/s, elapsed: 994s, ETA: 48s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5756/6019, 5.8 task/s, elapsed: 996s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5757/6019, 5.8 task/s, elapsed: 996s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5758/6019, 5.8 task/s, elapsed: 997s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5759/6019, 5.8 task/s, elapsed: 997s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5760/6019, 5.8 task/s, elapsed: 997s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5761/6019, 5.8 task/s, elapsed: 997s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5762/6019, 5.8 task/s, elapsed: 997s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5763/6019, 5.8 task/s, elapsed: 997s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5764/6019, 5.8 task/s, elapsed: 998s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5765/6019, 5.8 task/s, elapsed: 998s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5766/6019, 5.8 task/s, elapsed: 998s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5767/6019, 5.8 task/s, elapsed: 998s, ETA: 44s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5768/6019, 5.8 task/s, elapsed: 998s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5769/6019, 5.8 task/s, elapsed: 998s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5770/6019, 5.8 task/s, elapsed: 999s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5771/6019, 5.8 task/s, elapsed: 999s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5772/6019, 5.8 task/s, elapsed: 999s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5773/6019, 5.8 task/s, elapsed: 999s, ETA: 43s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5774/6019, 5.8 task/s, elapsed: 999s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5775/6019, 5.8 task/s, elapsed: 1000s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5776/6019, 5.8 task/s, elapsed: 1000s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5777/6019, 5.8 task/s, elapsed: 1000s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5778/6019, 5.8 task/s, elapsed: 1000s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5779/6019, 5.8 task/s, elapsed: 1000s, ETA: 42s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5780/6019, 5.8 task/s, elapsed: 1000s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5781/6019, 5.8 task/s, elapsed: 1001s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5782/6019, 5.8 task/s, elapsed: 1001s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5783/6019, 5.8 task/s, elapsed: 1001s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5784/6019, 5.8 task/s, elapsed: 1001s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5785/6019, 5.8 task/s, elapsed: 1001s, ETA: 41s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5786/6019, 5.8 task/s, elapsed: 1002s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5787/6019, 5.8 task/s, elapsed: 1002s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5788/6019, 5.8 task/s, elapsed: 1002s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5789/6019, 5.8 task/s, elapsed: 1002s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5790/6019, 5.8 task/s, elapsed: 1002s, ETA: 40s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5791/6019, 5.8 task/s, elapsed: 1002s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5792/6019, 5.8 task/s, elapsed: 1003s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5793/6019, 5.8 task/s, elapsed: 1003s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5794/6019, 5.8 task/s, elapsed: 1003s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5795/6019, 5.8 task/s, elapsed: 1003s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5796/6019, 5.8 task/s, elapsed: 1003s, ETA: 39s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5797/6019, 5.8 task/s, elapsed: 1004s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5798/6019, 5.8 task/s, elapsed: 1004s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5799/6019, 5.8 task/s, elapsed: 1004s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5800/6019, 5.8 task/s, elapsed: 1004s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5801/6019, 5.8 task/s, elapsed: 1004s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5802/6019, 5.8 task/s, elapsed: 1004s, ETA: 38s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5803/6019, 5.8 task/s, elapsed: 1005s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5804/6019, 5.8 task/s, elapsed: 1005s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5805/6019, 5.8 task/s, elapsed: 1005s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5806/6019, 5.8 task/s, elapsed: 1005s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5807/6019, 5.8 task/s, elapsed: 1005s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5808/6019, 5.8 task/s, elapsed: 1005s, ETA: 37s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5809/6019, 5.8 task/s, elapsed: 1006s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5810/6019, 5.8 task/s, elapsed: 1006s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5811/6019, 5.8 task/s, elapsed: 1006s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5812/6019, 5.8 task/s, elapsed: 1006s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5813/6019, 5.8 task/s, elapsed: 1006s, ETA: 36s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5814/6019, 5.8 task/s, elapsed: 1006s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5815/6019, 5.8 task/s, elapsed: 1007s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5816/6019, 5.8 task/s, elapsed: 1007s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5817/6019, 5.8 task/s, elapsed: 1007s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5818/6019, 5.8 task/s, elapsed: 1007s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5819/6019, 5.8 task/s, elapsed: 1007s, ETA: 35s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5820/6019, 5.8 task/s, elapsed: 1008s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5821/6019, 5.8 task/s, elapsed: 1008s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5822/6019, 5.8 task/s, elapsed: 1008s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5823/6019, 5.8 task/s, elapsed: 1008s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5824/6019, 5.8 task/s, elapsed: 1008s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5825/6019, 5.8 task/s, elapsed: 1008s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5826/6019, 5.8 task/s, elapsed: 1009s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5827/6019, 5.8 task/s, elapsed: 1009s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5828/6019, 5.8 task/s, elapsed: 1009s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5829/6019, 5.8 task/s, elapsed: 1009s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5830/6019, 5.8 task/s, elapsed: 1009s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5831/6019, 5.8 task/s, elapsed: 1009s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5832/6019, 5.8 task/s, elapsed: 1010s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5833/6019, 5.8 task/s, elapsed: 1010s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5834/6019, 5.8 task/s, elapsed: 1010s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5835/6019, 5.8 task/s, elapsed: 1010s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5836/6019, 5.8 task/s, elapsed: 1010s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.8 task/s, elapsed: 1011s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.8 task/s, elapsed: 1011s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.8 task/s, elapsed: 1011s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.8 task/s, elapsed: 1011s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.8 task/s, elapsed: 1011s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5842/6019, 5.8 task/s, elapsed: 1011s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5843/6019, 5.8 task/s, elapsed: 1012s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5844/6019, 5.8 task/s, elapsed: 1012s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5845/6019, 5.8 task/s, elapsed: 1012s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5846/6019, 5.8 task/s, elapsed: 1012s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5847/6019, 5.8 task/s, elapsed: 1012s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5848/6019, 5.8 task/s, elapsed: 1013s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5849/6019, 5.8 task/s, elapsed: 1013s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5850/6019, 5.8 task/s, elapsed: 1013s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5851/6019, 5.8 task/s, elapsed: 1013s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5852/6019, 5.8 task/s, elapsed: 1013s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5853/6019, 5.8 task/s, elapsed: 1013s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5854/6019, 5.8 task/s, elapsed: 1014s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.8 task/s, elapsed: 1014s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.8 task/s, elapsed: 1014s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5857/6019, 5.8 task/s, elapsed: 1014s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5858/6019, 5.8 task/s, elapsed: 1014s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5859/6019, 5.8 task/s, elapsed: 1014s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5860/6019, 5.8 task/s, elapsed: 1015s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5861/6019, 5.8 task/s, elapsed: 1015s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5862/6019, 5.8 task/s, elapsed: 1015s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5863/6019, 5.8 task/s, elapsed: 1015s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5864/6019, 5.8 task/s, elapsed: 1015s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5865/6019, 5.8 task/s, elapsed: 1016s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5866/6019, 5.8 task/s, elapsed: 1016s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5867/6019, 5.8 task/s, elapsed: 1016s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5868/6019, 5.8 task/s, elapsed: 1016s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5869/6019, 5.8 task/s, elapsed: 1016s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5870/6019, 5.8 task/s, elapsed: 1016s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5871/6019, 5.8 task/s, elapsed: 1017s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5872/6019, 5.8 task/s, elapsed: 1017s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.8 task/s, elapsed: 1017s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.8 task/s, elapsed: 1017s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.8 task/s, elapsed: 1017s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.8 task/s, elapsed: 1017s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5877/6019, 5.8 task/s, elapsed: 1018s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5878/6019, 5.8 task/s, elapsed: 1018s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5879/6019, 5.8 task/s, elapsed: 1018s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5880/6019, 5.8 task/s, elapsed: 1018s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5881/6019, 5.8 task/s, elapsed: 1018s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5882/6019, 5.8 task/s, elapsed: 1019s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5883/6019, 5.8 task/s, elapsed: 1019s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5884/6019, 5.8 task/s, elapsed: 1019s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5885/6019, 5.8 task/s, elapsed: 1019s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5886/6019, 5.8 task/s, elapsed: 1019s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5887/6019, 5.8 task/s, elapsed: 1019s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5888/6019, 5.8 task/s, elapsed: 1020s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5889/6019, 5.8 task/s, elapsed: 1020s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5890/6019, 5.8 task/s, elapsed: 1020s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5891/6019, 5.8 task/s, elapsed: 1020s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5892/6019, 5.8 task/s, elapsed: 1020s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5893/6019, 5.8 task/s, elapsed: 1020s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5894/6019, 5.8 task/s, elapsed: 1021s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5895/6019, 5.8 task/s, elapsed: 1021s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5896/6019, 5.8 task/s, elapsed: 1021s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.8 task/s, elapsed: 1021s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.8 task/s, elapsed: 1021s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.8 task/s, elapsed: 1022s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.8 task/s, elapsed: 1022s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.8 task/s, elapsed: 1022s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.8 task/s, elapsed: 1022s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.8 task/s, elapsed: 1022s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.8 task/s, elapsed: 1022s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.8 task/s, elapsed: 1023s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.8 task/s, elapsed: 1023s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.8 task/s, elapsed: 1023s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.8 task/s, elapsed: 1023s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.8 task/s, elapsed: 1023s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.8 task/s, elapsed: 1023s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.8 task/s, elapsed: 1024s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.8 task/s, elapsed: 1024s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.8 task/s, elapsed: 1024s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.8 task/s, elapsed: 1024s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.8 task/s, elapsed: 1024s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.8 task/s, elapsed: 1025s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.8 task/s, elapsed: 1025s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.8 task/s, elapsed: 1025s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.8 task/s, elapsed: 1025s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.8 task/s, elapsed: 1025s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.8 task/s, elapsed: 1025s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.8 task/s, elapsed: 1026s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.8 task/s, elapsed: 1026s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.8 task/s, elapsed: 1026s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.8 task/s, elapsed: 1026s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.8 task/s, elapsed: 1026s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.8 task/s, elapsed: 1026s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.8 task/s, elapsed: 1027s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.8 task/s, elapsed: 1027s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.8 task/s, elapsed: 1027s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.8 task/s, elapsed: 1027s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.8 task/s, elapsed: 1027s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.8 task/s, elapsed: 1028s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.8 task/s, elapsed: 1028s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.8 task/s, elapsed: 1028s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.8 task/s, elapsed: 1028s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.8 task/s, elapsed: 1032s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.8 task/s, elapsed: 1033s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.8 task/s, elapsed: 1033s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.8 task/s, elapsed: 1033s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.8 task/s, elapsed: 1033s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.8 task/s, elapsed: 1033s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.8 task/s, elapsed: 1033s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.8 task/s, elapsed: 1034s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.8 task/s, elapsed: 1034s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.8 task/s, elapsed: 1034s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.8 task/s, elapsed: 1034s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.8 task/s, elapsed: 1034s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.8 task/s, elapsed: 1035s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.8 task/s, elapsed: 1035s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.8 task/s, elapsed: 1035s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.8 task/s, elapsed: 1035s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.8 task/s, elapsed: 1035s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.8 task/s, elapsed: 1035s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.8 task/s, elapsed: 1036s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.8 task/s, elapsed: 1036s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.8 task/s, elapsed: 1036s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.8 task/s, elapsed: 1036s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.8 task/s, elapsed: 1036s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.8 task/s, elapsed: 1036s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.8 task/s, elapsed: 1037s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.8 task/s, elapsed: 1037s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.8 task/s, elapsed: 1037s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.8 task/s, elapsed: 1037s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.8 task/s, elapsed: 1037s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.8 task/s, elapsed: 1038s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.8 task/s, elapsed: 1038s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.8 task/s, elapsed: 1038s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.8 task/s, elapsed: 1038s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.8 task/s, elapsed: 1038s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.8 task/s, elapsed: 1038s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.8 task/s, elapsed: 1039s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.8 task/s, elapsed: 1039s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.8 task/s, elapsed: 1039s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.8 task/s, elapsed: 1039s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.8 task/s, elapsed: 1039s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.8 task/s, elapsed: 1039s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.8 task/s, elapsed: 1040s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.8 task/s, elapsed: 1040s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.7 task/s, elapsed: 1040s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.7 task/s, elapsed: 1040s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.7 task/s, elapsed: 1040s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.7 task/s, elapsed: 1041s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.7 task/s, elapsed: 1041s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.7 task/s, elapsed: 1041s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.7 task/s, elapsed: 1041s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.7 task/s, elapsed: 1041s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.7 task/s, elapsed: 1041s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.7 task/s, elapsed: 1042s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.7 task/s, elapsed: 1042s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.7 task/s, elapsed: 1042s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.7 task/s, elapsed: 1042s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.7 task/s, elapsed: 1042s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.7 task/s, elapsed: 1042s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.7 task/s, elapsed: 1043s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.7 task/s, elapsed: 1043s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.7 task/s, elapsed: 1043s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.7 task/s, elapsed: 1043s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.7 task/s, elapsed: 1043s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.7 task/s, elapsed: 1044s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.7 task/s, elapsed: 1044s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.7 task/s, elapsed: 1044s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.7 task/s, elapsed: 1044s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.7 task/s, elapsed: 1044s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.7 task/s, elapsed: 1044s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.7 task/s, elapsed: 1045s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.7 task/s, elapsed: 1045s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.7 task/s, elapsed: 1045s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.7 task/s, elapsed: 1045s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.7 task/s, elapsed: 1045s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.7 task/s, elapsed: 1046s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.7 task/s, elapsed: 1046s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.7 task/s, elapsed: 1046s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.7 task/s, elapsed: 1046s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.7 task/s, elapsed: 1046s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.7 task/s, elapsed: 1046s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.7 task/s, elapsed: 1047s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.7 task/s, elapsed: 1047s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.7 task/s, elapsed: 1047s, ETA: 0s +Results writes to /tmp/tmpdf6raa5f/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 5.1 task/s, elapsed: 41s, ETA: 1148s [> ] 209/6019, 5.1 task/s, elapsed: 41s, ETA: 1148s [> ] 210/6019, 5.1 task/s, elapsed: 41s, ETA: 1147s [> ] 211/6019, 5.1 task/s, elapsed: 42s, ETA: 1147s [> ] 212/6019, 5.1 task/s, elapsed: 42s, ETA: 1146s [> ] 213/6019, 5.1 task/s, elapsed: 42s, ETA: 1146s [> ] 214/6019, 5.1 task/s, elapsed: 42s, ETA: 1145s [> ] 215/6019, 5.1 task/s, elapsed: 42s, ETA: 1144s [> ] 216/6019, 5.1 task/s, elapsed: 43s, ETA: 1143s [> ] 217/6019, 5.1 task/s, elapsed: 43s, ETA: 1143s [> ] 218/6019, 5.1 task/s, elapsed: 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257/6019, 5.1 task/s, elapsed: 50s, ETA: 1124s [> ] 258/6019, 5.1 task/s, elapsed: 50s, ETA: 1123s [> ] 259/6019, 5.1 task/s, elapsed: 50s, ETA: 1123s [> ] 260/6019, 5.1 task/s, elapsed: 51s, ETA: 1122s [> ] 261/6019, 5.1 task/s, elapsed: 51s, ETA: 1122s [> ] 262/6019, 5.1 task/s, elapsed: 51s, ETA: 1121s [> ] 263/6019, 5.1 task/s, elapsed: 51s, ETA: 1121s [> ] 264/6019, 5.1 task/s, elapsed: 51s, ETA: 1120s [> ] 265/6019, 5.1 task/s, elapsed: 52s, ETA: 1120s [> ] 266/6019, 5.1 task/s, elapsed: 52s, ETA: 1119s [> ] 267/6019, 5.1 task/s, elapsed: 52s, ETA: 1119s [> ] 268/6019, 5.1 task/s, elapsed: 52s, ETA: 1119s [> ] 269/6019, 5.1 task/s, elapsed: 52s, ETA: 1118s [> ] 270/6019, 5.1 task/s, elapsed: 52s, ETA: 1118s [> ] 271/6019, 5.1 task/s, elapsed: 53s, ETA: 1117s [> ] 272/6019, 5.1 task/s, elapsed: 53s, ETA: 1117s [> ] 273/6019, 5.1 task/s, elapsed: 53s, ETA: 1116s [> ] 274/6019, 5.1 task/s, elapsed: 53s, ETA: 1116s [> ] 275/6019, 5.1 task/s, elapsed: 53s, ETA: 1116s [> ] 276/6019, 5.1 task/s, elapsed: 54s, ETA: 1115s [> ] 277/6019, 5.2 task/s, elapsed: 54s, ETA: 1115s [> ] 278/6019, 5.2 task/s, elapsed: 54s, ETA: 1114s [> ] 279/6019, 5.2 task/s, elapsed: 54s, ETA: 1114s [> ] 280/6019, 5.2 task/s, elapsed: 54s, ETA: 1113s [> ] 281/6019, 5.2 task/s, elapsed: 55s, ETA: 1113s [> ] 282/6019, 5.2 task/s, elapsed: 55s, ETA: 1113s [> ] 283/6019, 5.2 task/s, elapsed: 55s, ETA: 1112s [> ] 284/6019, 5.2 task/s, elapsed: 55s, ETA: 1112s [> ] 285/6019, 5.2 task/s, elapsed: 55s, ETA: 1112s [> ] 286/6019, 5.2 task/s, elapsed: 55s, ETA: 1112s [> ] 287/6019, 5.2 task/s, elapsed: 56s, ETA: 1111s [> ] 288/6019, 5.2 task/s, elapsed: 56s, ETA: 1111s [> ] 289/6019, 5.2 task/s, elapsed: 56s, ETA: 1111s [> ] 290/6019, 5.2 task/s, elapsed: 56s, ETA: 1111s [> ] 291/6019, 5.2 task/s, elapsed: 56s, ETA: 1110s [> ] 292/6019, 5.2 task/s, elapsed: 57s, ETA: 1110s [> ] 293/6019, 5.2 task/s, elapsed: 57s, ETA: 1110s [> ] 294/6019, 5.2 task/s, elapsed: 57s, ETA: 1109s [> ] 295/6019, 5.2 task/s, 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] 928/6019, 5.3 task/s, elapsed: 176s, ETA: 967s [>>>> ] 929/6019, 5.3 task/s, elapsed: 176s, ETA: 967s [>>>> ] 930/6019, 5.3 task/s, elapsed: 177s, ETA: 967s [>>>> ] 931/6019, 5.3 task/s, elapsed: 177s, ETA: 966s [>>>> ] 932/6019, 5.3 task/s, elapsed: 177s, ETA: 966s [>>>> ] 933/6019, 5.3 task/s, elapsed: 177s, ETA: 966s [>>>> ] 934/6019, 5.3 task/s, elapsed: 177s, ETA: 966s [>>>> ] 935/6019, 5.3 task/s, elapsed: 178s, ETA: 966s [>>>> ] 936/6019, 5.3 task/s, elapsed: 178s, ETA: 966s [>>>> ] 937/6019, 5.3 task/s, elapsed: 178s, ETA: 965s [>>>> ] 938/6019, 5.3 task/s, elapsed: 178s, ETA: 965s [>>>> ] 939/6019, 5.3 task/s, elapsed: 178s, ETA: 965s [>>>> ] 940/6019, 5.3 task/s, elapsed: 179s, ETA: 965s [>>>> ] 941/6019, 5.3 task/s, elapsed: 179s, ETA: 965s [>>>> ] 942/6019, 5.3 task/s, elapsed: 179s, ETA: 964s [>>>> ] 943/6019, 5.3 task/s, elapsed: 179s, ETA: 964s [>>>> ] 944/6019, 5.3 task/s, elapsed: 179s, ETA: 964s [>>>> ] 945/6019, 5.3 task/s, elapsed: 180s, ETA: 964s [>>>> ] 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] 1265/6019, 5.3 task/s, elapsed: 240s, ETA: 901s [>>>>> ] 1266/6019, 5.3 task/s, elapsed: 240s, ETA: 900s [>>>>> ] 1267/6019, 5.3 task/s, elapsed: 240s, ETA: 900s [>>>>> ] 1268/6019, 5.3 task/s, elapsed: 240s, ETA: 900s [>>>>> ] 1269/6019, 5.3 task/s, elapsed: 240s, ETA: 900s [>>>>> ] 1270/6019, 5.3 task/s, elapsed: 241s, ETA: 899s [>>>>> ] 1271/6019, 5.3 task/s, elapsed: 241s, ETA: 899s [>>>>> ] 1272/6019, 5.3 task/s, elapsed: 241s, ETA: 899s [>>>>> ] 1273/6019, 5.3 task/s, elapsed: 241s, ETA: 899s [>>>>> ] 1274/6019, 5.3 task/s, elapsed: 241s, ETA: 898s [>>>>> ] 1275/6019, 5.3 task/s, elapsed: 241s, ETA: 898s [>>>>> ] 1276/6019, 5.3 task/s, elapsed: 242s, ETA: 898s [>>>>> ] 1277/6019, 5.3 task/s, elapsed: 242s, ETA: 898s [>>>>> ] 1278/6019, 5.3 task/s, elapsed: 242s, ETA: 898s [>>>>> ] 1279/6019, 5.3 task/s, elapsed: 242s, ETA: 897s [>>>>> ] 1280/6019, 5.3 task/s, elapsed: 242s, ETA: 897s [>>>>> ] 1281/6019, 5.3 task/s, elapsed: 243s, ETA: 897s [>>>>> ] 1282/6019, 5.3 task/s, 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] 1300/6019, 5.3 task/s, elapsed: 246s, ETA: 893s [>>>>> ] 1301/6019, 5.3 task/s, elapsed: 246s, ETA: 893s [>>>>> ] 1302/6019, 5.3 task/s, elapsed: 246s, ETA: 893s [>>>>> ] 1303/6019, 5.3 task/s, elapsed: 247s, ETA: 893s [>>>>> ] 1304/6019, 5.3 task/s, elapsed: 247s, ETA: 892s [>>>>> ] 1305/6019, 5.3 task/s, elapsed: 247s, ETA: 892s [>>>>> ] 1306/6019, 5.3 task/s, elapsed: 247s, ETA: 892s [>>>>> ] 1307/6019, 5.3 task/s, elapsed: 247s, ETA: 892s [>>>>> ] 1308/6019, 5.3 task/s, elapsed: 248s, ETA: 892s [>>>>> ] 1309/6019, 5.3 task/s, elapsed: 248s, ETA: 891s [>>>>> ] 1310/6019, 5.3 task/s, elapsed: 248s, ETA: 891s [>>>>> ] 1311/6019, 5.3 task/s, elapsed: 248s, ETA: 891s [>>>>> ] 1312/6019, 5.3 task/s, elapsed: 248s, ETA: 891s [>>>>> ] 1313/6019, 5.3 task/s, elapsed: 248s, ETA: 890s [>>>>> ] 1314/6019, 5.3 task/s, elapsed: 249s, ETA: 890s [>>>>> ] 1315/6019, 5.3 task/s, elapsed: 249s, ETA: 890s [>>>>> ] 1316/6019, 5.3 task/s, elapsed: 249s, ETA: 890s [>>>>> ] 1317/6019, 5.3 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5873/6019, 5.2 task/s, elapsed: 1121s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5874/6019, 5.2 task/s, elapsed: 1122s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5875/6019, 5.2 task/s, elapsed: 1122s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5876/6019, 5.2 task/s, elapsed: 1122s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5877/6019, 5.2 task/s, elapsed: 1122s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5878/6019, 5.2 task/s, elapsed: 1122s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5879/6019, 5.2 task/s, elapsed: 1123s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5880/6019, 5.2 task/s, elapsed: 1123s, ETA: 27s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5881/6019, 5.2 task/s, elapsed: 1123s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5882/6019, 5.2 task/s, elapsed: 1123s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5883/6019, 5.2 task/s, elapsed: 1123s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5884/6019, 5.2 task/s, elapsed: 1123s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5885/6019, 5.2 task/s, elapsed: 1124s, ETA: 26s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5886/6019, 5.2 task/s, elapsed: 1124s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5887/6019, 5.2 task/s, elapsed: 1124s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5888/6019, 5.2 task/s, elapsed: 1124s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5889/6019, 5.2 task/s, elapsed: 1124s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5890/6019, 5.2 task/s, elapsed: 1125s, ETA: 25s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5891/6019, 5.2 task/s, elapsed: 1125s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5892/6019, 5.2 task/s, elapsed: 1125s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5893/6019, 5.2 task/s, elapsed: 1125s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5894/6019, 5.2 task/s, elapsed: 1125s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5895/6019, 5.2 task/s, elapsed: 1126s, ETA: 24s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5896/6019, 5.2 task/s, elapsed: 1126s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.2 task/s, elapsed: 1126s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.2 task/s, elapsed: 1126s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.2 task/s, elapsed: 1126s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.2 task/s, elapsed: 1126s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.2 task/s, elapsed: 1127s, ETA: 23s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.2 task/s, elapsed: 1127s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.2 task/s, elapsed: 1127s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.2 task/s, elapsed: 1127s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.2 task/s, elapsed: 1127s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.2 task/s, elapsed: 1128s, ETA: 22s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.2 task/s, elapsed: 1128s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.2 task/s, elapsed: 1128s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.2 task/s, elapsed: 1128s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.2 task/s, elapsed: 1128s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.2 task/s, elapsed: 1129s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.2 task/s, elapsed: 1129s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.2 task/s, elapsed: 1129s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.2 task/s, elapsed: 1129s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.2 task/s, elapsed: 1129s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.2 task/s, elapsed: 1130s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.2 task/s, elapsed: 1130s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.2 task/s, elapsed: 1130s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.2 task/s, elapsed: 1130s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.2 task/s, elapsed: 1130s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.2 task/s, elapsed: 1131s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.2 task/s, elapsed: 1131s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.2 task/s, elapsed: 1131s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.2 task/s, elapsed: 1131s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.2 task/s, elapsed: 1131s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.2 task/s, elapsed: 1132s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.2 task/s, elapsed: 1132s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.2 task/s, elapsed: 1132s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.2 task/s, elapsed: 1132s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.2 task/s, elapsed: 1132s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.2 task/s, elapsed: 1132s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.2 task/s, elapsed: 1133s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.2 task/s, elapsed: 1133s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.2 task/s, elapsed: 1133s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.2 task/s, elapsed: 1133s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.2 task/s, elapsed: 1133s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.2 task/s, elapsed: 1134s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.2 task/s, elapsed: 1134s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.2 task/s, elapsed: 1134s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.2 task/s, elapsed: 1134s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.2 task/s, elapsed: 1134s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.2 task/s, elapsed: 1135s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.2 task/s, elapsed: 1135s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.2 task/s, elapsed: 1135s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.2 task/s, elapsed: 1135s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.2 task/s, elapsed: 1135s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.2 task/s, elapsed: 1136s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.2 task/s, elapsed: 1136s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.2 task/s, elapsed: 1136s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.2 task/s, elapsed: 1136s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.2 task/s, elapsed: 1136s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.2 task/s, elapsed: 1137s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.2 task/s, elapsed: 1137s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.2 task/s, elapsed: 1137s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.2 task/s, elapsed: 1137s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.2 task/s, elapsed: 1137s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.2 task/s, elapsed: 1138s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.2 task/s, elapsed: 1138s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.2 task/s, elapsed: 1138s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.2 task/s, elapsed: 1138s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.2 task/s, elapsed: 1138s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.2 task/s, elapsed: 1139s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.2 task/s, elapsed: 1139s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.2 task/s, elapsed: 1139s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.2 task/s, elapsed: 1139s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.2 task/s, elapsed: 1139s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.2 task/s, elapsed: 1140s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.2 task/s, elapsed: 1140s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.2 task/s, elapsed: 1140s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.2 task/s, elapsed: 1140s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.2 task/s, elapsed: 1140s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.2 task/s, elapsed: 1141s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.2 task/s, elapsed: 1141s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.2 task/s, elapsed: 1141s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.2 task/s, elapsed: 1141s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.2 task/s, elapsed: 1141s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.2 task/s, elapsed: 1142s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.2 task/s, elapsed: 1142s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.2 task/s, elapsed: 1142s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.2 task/s, elapsed: 1142s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.2 task/s, elapsed: 1142s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.2 task/s, elapsed: 1143s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.2 task/s, elapsed: 1143s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.2 task/s, elapsed: 1143s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.2 task/s, elapsed: 1143s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.2 task/s, elapsed: 1143s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.2 task/s, elapsed: 1144s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.2 task/s, elapsed: 1144s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.2 task/s, elapsed: 1144s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.2 task/s, elapsed: 1144s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.2 task/s, elapsed: 1144s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.2 task/s, elapsed: 1145s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.2 task/s, elapsed: 1145s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.2 task/s, elapsed: 1145s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.2 task/s, elapsed: 1145s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.2 task/s, elapsed: 1145s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.2 task/s, elapsed: 1146s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.2 task/s, elapsed: 1146s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.2 task/s, elapsed: 1146s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.2 task/s, elapsed: 1146s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.2 task/s, elapsed: 1146s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.2 task/s, elapsed: 1147s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.2 task/s, elapsed: 1147s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.2 task/s, elapsed: 1147s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.2 task/s, elapsed: 1147s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.2 task/s, elapsed: 1147s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.2 task/s, elapsed: 1148s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.2 task/s, elapsed: 1148s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.2 task/s, elapsed: 1148s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.2 task/s, elapsed: 1148s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.2 task/s, elapsed: 1148s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.2 task/s, elapsed: 1149s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.2 task/s, elapsed: 1149s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.2 task/s, elapsed: 1149s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.2 task/s, elapsed: 1149s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.2 task/s, elapsed: 1149s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.2 task/s, elapsed: 1150s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.2 task/s, elapsed: 1150s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.2 task/s, elapsed: 1150s, ETA: 0s +Results writes to /tmp/tmpqkl1q9yf/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 3.9 task/s, elapsed: 53s, ETA: 1487s [> ] 209/6019, 3.9 task/s, elapsed: 53s, ETA: 1484s [> ] 210/6019, 3.9 task/s, elapsed: 54s, ETA: 1482s [> ] 211/6019, 3.9 task/s, elapsed: 54s, ETA: 1480s [> ] 212/6019, 3.9 task/s, elapsed: 54s, ETA: 1478s [> ] 213/6019, 3.9 task/s, elapsed: 54s, ETA: 1476s [> ] 214/6019, 3.9 task/s, elapsed: 54s, ETA: 1474s [> ] 215/6019, 3.9 task/s, elapsed: 55s, ETA: 1472s [> ] 216/6019, 3.9 task/s, elapsed: 55s, ETA: 1469s [> ] 217/6019, 4.0 task/s, elapsed: 55s, ETA: 1468s [> ] 218/6019, 4.0 task/s, elapsed: 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] 1029/6019, 5.0 task/s, elapsed: 207s, ETA: 1004s [>>>> ] 1030/6019, 5.0 task/s, elapsed: 207s, ETA: 1004s [>>>> ] 1031/6019, 5.0 task/s, elapsed: 207s, ETA: 1004s [>>>> ] 1032/6019, 5.0 task/s, elapsed: 208s, ETA: 1003s [>>>> ] 1033/6019, 5.0 task/s, elapsed: 208s, ETA: 1003s [>>>> ] 1034/6019, 5.0 task/s, elapsed: 208s, ETA: 1003s [>>>> ] 1035/6019, 5.0 task/s, elapsed: 208s, ETA: 1003s [>>>> ] 1036/6019, 5.0 task/s, elapsed: 208s, ETA: 1002s [>>>> ] 1037/6019, 5.0 task/s, elapsed: 209s, ETA: 1002s [>>>> ] 1038/6019, 5.0 task/s, elapsed: 209s, ETA: 1002s [>>>> ] 1039/6019, 5.0 task/s, elapsed: 209s, ETA: 1001s [>>>> ] 1040/6019, 5.0 task/s, elapsed: 209s, ETA: 1001s [>>>> ] 1041/6019, 5.0 task/s, elapsed: 209s, ETA: 1001s [>>>> ] 1042/6019, 5.0 task/s, elapsed: 209s, ETA: 1000s [>>>> ] 1043/6019, 5.0 task/s, elapsed: 210s, ETA: 1000s [>>>> ] 1044/6019, 5.0 task/s, elapsed: 210s, ETA: 1000s [>>>> ] 1045/6019, 5.0 task/s, elapsed: 210s, ETA: 1000s [>>>> ] 1046/6019, 5.0 task/s, 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ETA: 978s [>>>>> ] 1118/6019, 5.0 task/s, elapsed: 223s, ETA: 978s [>>>>> ] 1119/6019, 5.0 task/s, elapsed: 223s, ETA: 978s [>>>>> ] 1120/6019, 5.0 task/s, elapsed: 223s, ETA: 978s [>>>>> ] 1121/6019, 5.0 task/s, elapsed: 224s, ETA: 977s [>>>>> ] 1122/6019, 5.0 task/s, elapsed: 224s, ETA: 977s [>>>>> ] 1123/6019, 5.0 task/s, elapsed: 224s, ETA: 977s [>>>>> ] 1124/6019, 5.0 task/s, elapsed: 224s, ETA: 977s [>>>>> ] 1125/6019, 5.0 task/s, elapsed: 224s, ETA: 976s [>>>>> ] 1126/6019, 5.0 task/s, elapsed: 225s, ETA: 976s [>>>>> ] 1127/6019, 5.0 task/s, elapsed: 225s, ETA: 976s [>>>>> ] 1128/6019, 5.0 task/s, elapsed: 225s, ETA: 976s [>>>>> ] 1129/6019, 5.0 task/s, elapsed: 225s, ETA: 975s [>>>>> ] 1130/6019, 5.0 task/s, elapsed: 225s, ETA: 975s [>>>>> ] 1131/6019, 5.0 task/s, elapsed: 226s, ETA: 975s [>>>>> ] 1132/6019, 5.0 task/s, elapsed: 226s, ETA: 975s [>>>>> ] 1133/6019, 5.0 task/s, elapsed: 226s, ETA: 975s [>>>>> ] 1134/6019, 5.0 task/s, elapsed: 226s, ETA: 974s [>>>>> ] 1135/6019, 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] 3853/6019, 5.2 task/s, elapsed: 741s, ETA: 416s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.2 task/s, elapsed: 741s, ETA: 416s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.2 task/s, elapsed: 741s, ETA: 416s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.2 task/s, elapsed: 741s, ETA: 416s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.2 task/s, elapsed: 741s, ETA: 416s [>>>>>>>>>>>>>>>>> ] 3858/6019, 5.2 task/s, elapsed: 742s, ETA: 415s [>>>>>>>>>>>>>>>>> ] 3859/6019, 5.2 task/s, elapsed: 742s, ETA: 415s [>>>>>>>>>>>>>>>>> ] 3860/6019, 5.2 task/s, elapsed: 742s, ETA: 415s [>>>>>>>>>>>>>>>>> ] 3861/6019, 5.2 task/s, elapsed: 742s, ETA: 415s [>>>>>>>>>>>>>>>>> ] 3862/6019, 5.2 task/s, elapsed: 742s, ETA: 415s [>>>>>>>>>>>>>>>>> ] 3863/6019, 5.2 task/s, elapsed: 743s, ETA: 414s [>>>>>>>>>>>>>>>>> ] 3864/6019, 5.2 task/s, elapsed: 743s, ETA: 414s [>>>>>>>>>>>>>>>>> ] 3865/6019, 5.2 task/s, elapsed: 743s, ETA: 414s [>>>>>>>>>>>>>>>>> ] 3866/6019, 5.2 task/s, elapsed: 743s, ETA: 414s [>>>>>>>>>>>>>>>>> ] 3867/6019, 5.2 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.2 task/s, elapsed: 1129s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.2 task/s, elapsed: 1130s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5857/6019, 5.2 task/s, elapsed: 1130s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5858/6019, 5.2 task/s, elapsed: 1130s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5859/6019, 5.2 task/s, elapsed: 1130s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5860/6019, 5.2 task/s, elapsed: 1130s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5861/6019, 5.2 task/s, elapsed: 1131s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5862/6019, 5.2 task/s, elapsed: 1131s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5863/6019, 5.2 task/s, elapsed: 1131s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5864/6019, 5.2 task/s, elapsed: 1131s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5865/6019, 5.2 task/s, elapsed: 1131s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5866/6019, 5.2 task/s, elapsed: 1132s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5867/6019, 5.2 task/s, elapsed: 1132s, ETA: 29s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.2 task/s, elapsed: 1155s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.2 task/s, elapsed: 1155s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.2 task/s, elapsed: 1155s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.2 task/s, elapsed: 1156s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.2 task/s, elapsed: 1156s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.2 task/s, elapsed: 1156s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.2 task/s, elapsed: 1156s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.2 task/s, elapsed: 1156s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.2 task/s, elapsed: 1157s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.2 task/s, elapsed: 1157s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.2 task/s, elapsed: 1157s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.2 task/s, elapsed: 1157s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.2 task/s, elapsed: 1157s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.2 task/s, elapsed: 1158s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.2 task/s, elapsed: 1158s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.2 task/s, elapsed: 1158s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.2 task/s, elapsed: 1158s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.2 task/s, elapsed: 1158s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.2 task/s, elapsed: 1159s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.2 task/s, elapsed: 1159s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.2 task/s, elapsed: 1159s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.2 task/s, elapsed: 1159s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.2 task/s, elapsed: 1159s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.2 task/s, elapsed: 1160s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.2 task/s, elapsed: 1160s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.2 task/s, elapsed: 1160s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.2 task/s, elapsed: 1160s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.2 task/s, elapsed: 1160s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.2 task/s, elapsed: 1161s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.2 task/s, elapsed: 1161s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.2 task/s, elapsed: 1161s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.2 task/s, elapsed: 1161s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.2 task/s, elapsed: 1161s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.2 task/s, elapsed: 1162s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.2 task/s, elapsed: 1162s, ETA: 0s +Results writes to /tmp/tmp8d4zf36w/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.3 task/s, elapsed: 33s, ETA: 928s [> ] 209/6019, 6.3 task/s, elapsed: 33s, ETA: 928s [> ] 210/6019, 6.3 task/s, elapsed: 34s, ETA: 928s [> ] 211/6019, 6.3 task/s, elapsed: 34s, ETA: 928s [> ] 212/6019, 6.3 task/s, elapsed: 34s, ETA: 928s [> ] 213/6019, 6.3 task/s, elapsed: 34s, ETA: 928s [> ] 214/6019, 6.3 task/s, elapsed: 34s, ETA: 928s [> ] 215/6019, 6.3 task/s, elapsed: 34s, ETA: 928s [> ] 216/6019, 6.3 task/s, elapsed: 35s, ETA: 928s [> ] 217/6019, 6.3 task/s, elapsed: 35s, ETA: 928s [> ] 218/6019, 6.3 task/s, elapsed: 35s, ETA: 928s [> ] 219/6019, 6.2 task/s, elapsed: 35s, ETA: 928s [> ] 220/6019, 6.2 task/s, elapsed: 35s, ETA: 928s [> ] 221/6019, 6.2 task/s, elapsed: 35s, ETA: 928s [> ] 222/6019, 6.2 task/s, elapsed: 36s, ETA: 928s [> ] 223/6019, 6.2 task/s, elapsed: 36s, ETA: 928s [> ] 224/6019, 6.2 task/s, elapsed: 36s, ETA: 928s [> ] 225/6019, 6.2 task/s, elapsed: 36s, ETA: 928s [> ] 226/6019, 6.2 task/s, elapsed: 36s, ETA: 928s [> ] 227/6019, 6.2 task/s, elapsed: 36s, ETA: 928s [> ] 228/6019, 6.2 task/s, elapsed: 37s, ETA: 928s [> ] 229/6019, 6.2 task/s, elapsed: 37s, ETA: 928s [> ] 230/6019, 6.2 task/s, elapsed: 37s, ETA: 928s 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elapsed: 40s, ETA: 927s [> ] 251/6019, 6.2 task/s, elapsed: 40s, ETA: 927s [> ] 252/6019, 6.2 task/s, elapsed: 40s, ETA: 927s [> ] 253/6019, 6.2 task/s, elapsed: 41s, ETA: 926s [> ] 254/6019, 6.2 task/s, elapsed: 41s, ETA: 926s [> ] 255/6019, 6.2 task/s, elapsed: 41s, ETA: 926s [> ] 256/6019, 6.2 task/s, elapsed: 41s, ETA: 926s [> ] 257/6019, 6.2 task/s, elapsed: 41s, ETA: 925s [> ] 258/6019, 6.2 task/s, elapsed: 41s, ETA: 925s [> ] 259/6019, 6.2 task/s, elapsed: 42s, ETA: 925s [> ] 260/6019, 6.2 task/s, elapsed: 42s, ETA: 925s [> ] 261/6019, 6.2 task/s, elapsed: 42s, ETA: 925s [> ] 262/6019, 6.2 task/s, elapsed: 42s, ETA: 925s [> ] 263/6019, 6.2 task/s, elapsed: 42s, ETA: 924s [> ] 264/6019, 6.2 task/s, elapsed: 42s, ETA: 924s [> ] 265/6019, 6.2 task/s, elapsed: 43s, ETA: 924s [> ] 266/6019, 6.2 task/s, elapsed: 43s, ETA: 924s [> ] 267/6019, 6.2 task/s, elapsed: 43s, ETA: 924s [> ] 268/6019, 6.2 task/s, elapsed: 43s, ETA: 924s [> ] 269/6019, 6.2 task/s, elapsed: 43s, ETA: 924s [> ] 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] 914/6019, 6.2 task/s, elapsed: 148s, ETA: 829s [>>>> ] 915/6019, 6.2 task/s, elapsed: 149s, ETA: 829s [>>>> ] 916/6019, 6.2 task/s, elapsed: 149s, ETA: 829s [>>>> ] 917/6019, 6.2 task/s, elapsed: 149s, ETA: 828s [>>>> ] 918/6019, 6.2 task/s, elapsed: 149s, ETA: 828s [>>>> ] 919/6019, 6.2 task/s, elapsed: 149s, ETA: 828s [>>>> ] 920/6019, 6.2 task/s, elapsed: 149s, ETA: 828s [>>>> ] 921/6019, 6.2 task/s, elapsed: 150s, ETA: 828s [>>>> ] 922/6019, 6.2 task/s, elapsed: 150s, ETA: 828s [>>>> ] 923/6019, 6.2 task/s, elapsed: 150s, ETA: 828s [>>>> ] 924/6019, 6.2 task/s, elapsed: 150s, ETA: 828s [>>>> ] 925/6019, 6.2 task/s, elapsed: 150s, ETA: 828s [>>>> ] 926/6019, 6.2 task/s, elapsed: 150s, ETA: 827s [>>>> ] 927/6019, 6.2 task/s, elapsed: 151s, ETA: 827s [>>>> ] 928/6019, 6.2 task/s, elapsed: 151s, ETA: 827s [>>>> ] 929/6019, 6.2 task/s, elapsed: 151s, ETA: 827s [>>>> ] 930/6019, 6.2 task/s, elapsed: 151s, ETA: 827s [>>>> ] 931/6019, 6.2 task/s, elapsed: 151s, ETA: 827s [>>>> ] 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] 1234/6019, 6.0 task/s, elapsed: 205s, ETA: 794s [>>>>> ] 1235/6019, 6.0 task/s, elapsed: 205s, ETA: 794s [>>>>> ] 1236/6019, 6.0 task/s, elapsed: 205s, ETA: 794s [>>>>> ] 1237/6019, 6.0 task/s, elapsed: 205s, ETA: 793s [>>>>> ] 1238/6019, 6.0 task/s, elapsed: 205s, ETA: 793s [>>>>> ] 1239/6019, 6.0 task/s, elapsed: 206s, ETA: 793s [>>>>> ] 1240/6019, 6.0 task/s, elapsed: 206s, ETA: 793s [>>>>> ] 1241/6019, 6.0 task/s, elapsed: 206s, ETA: 793s [>>>>> ] 1242/6019, 6.0 task/s, elapsed: 206s, ETA: 792s [>>>>> ] 1243/6019, 6.0 task/s, elapsed: 206s, ETA: 792s [>>>>> ] 1244/6019, 6.0 task/s, elapsed: 206s, ETA: 792s [>>>>> ] 1245/6019, 6.0 task/s, elapsed: 207s, ETA: 792s [>>>>> ] 1246/6019, 6.0 task/s, elapsed: 207s, ETA: 792s [>>>>> ] 1247/6019, 6.0 task/s, elapsed: 207s, ETA: 792s [>>>>> ] 1248/6019, 6.0 task/s, elapsed: 207s, ETA: 792s [>>>>> ] 1249/6019, 6.0 task/s, elapsed: 207s, ETA: 791s [>>>>> ] 1250/6019, 6.0 task/s, elapsed: 207s, ETA: 791s [>>>>> ] 1251/6019, 6.0 task/s, 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] 1269/6019, 6.0 task/s, elapsed: 211s, ETA: 788s [>>>>> ] 1270/6019, 6.0 task/s, elapsed: 211s, ETA: 788s [>>>>> ] 1271/6019, 6.0 task/s, elapsed: 211s, ETA: 788s [>>>>> ] 1272/6019, 6.0 task/s, elapsed: 211s, ETA: 787s [>>>>> ] 1273/6019, 6.0 task/s, elapsed: 211s, ETA: 787s [>>>>> ] 1274/6019, 6.0 task/s, elapsed: 211s, ETA: 787s [>>>>> ] 1275/6019, 6.0 task/s, elapsed: 211s, ETA: 787s [>>>>> ] 1276/6019, 6.0 task/s, elapsed: 212s, ETA: 787s [>>>>> ] 1277/6019, 6.0 task/s, elapsed: 212s, ETA: 787s [>>>>> ] 1278/6019, 6.0 task/s, elapsed: 212s, ETA: 786s [>>>>> ] 1279/6019, 6.0 task/s, elapsed: 212s, ETA: 786s [>>>>> ] 1280/6019, 6.0 task/s, elapsed: 212s, ETA: 786s [>>>>> ] 1281/6019, 6.0 task/s, elapsed: 213s, ETA: 786s [>>>>> ] 1282/6019, 6.0 task/s, elapsed: 213s, ETA: 786s [>>>>> ] 1283/6019, 6.0 task/s, elapsed: 213s, ETA: 786s [>>>>> ] 1284/6019, 6.0 task/s, elapsed: 213s, ETA: 786s [>>>>> ] 1285/6019, 6.0 task/s, elapsed: 213s, ETA: 785s [>>>>> ] 1286/6019, 6.0 task/s, 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] 1304/6019, 6.0 task/s, elapsed: 216s, ETA: 782s [>>>>> ] 1305/6019, 6.0 task/s, elapsed: 217s, ETA: 782s [>>>>> ] 1306/6019, 6.0 task/s, elapsed: 217s, ETA: 782s [>>>>> ] 1307/6019, 6.0 task/s, elapsed: 217s, ETA: 782s [>>>>> ] 1308/6019, 6.0 task/s, elapsed: 217s, ETA: 782s [>>>>> ] 1309/6019, 6.0 task/s, elapsed: 217s, ETA: 782s [>>>>> ] 1310/6019, 6.0 task/s, elapsed: 217s, ETA: 781s [>>>>> ] 1311/6019, 6.0 task/s, elapsed: 218s, ETA: 781s [>>>>> ] 1312/6019, 6.0 task/s, elapsed: 218s, ETA: 781s [>>>>> ] 1313/6019, 6.0 task/s, elapsed: 218s, ETA: 781s [>>>>> ] 1314/6019, 6.0 task/s, elapsed: 218s, ETA: 781s [>>>>> ] 1315/6019, 6.0 task/s, elapsed: 218s, ETA: 780s [>>>>> ] 1316/6019, 6.0 task/s, elapsed: 218s, ETA: 780s [>>>>> ] 1317/6019, 6.0 task/s, elapsed: 218s, ETA: 780s [>>>>> ] 1318/6019, 6.0 task/s, elapsed: 219s, ETA: 780s [>>>>> ] 1319/6019, 6.0 task/s, elapsed: 219s, ETA: 780s [>>>>> ] 1320/6019, 6.0 task/s, elapsed: 219s, ETA: 779s [>>>>> ] 1321/6019, 6.0 task/s, 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] 1782/6019, 6.0 task/s, elapsed: 295s, ETA: 702s [>>>>>>> ] 1783/6019, 6.0 task/s, elapsed: 295s, ETA: 701s [>>>>>>>> ] 1784/6019, 6.0 task/s, elapsed: 295s, ETA: 701s [>>>>>>>> ] 1785/6019, 6.0 task/s, elapsed: 296s, ETA: 701s [>>>>>>>> ] 1786/6019, 6.0 task/s, elapsed: 296s, ETA: 701s [>>>>>>>> ] 1787/6019, 6.0 task/s, elapsed: 296s, ETA: 701s [>>>>>>>> ] 1788/6019, 6.0 task/s, elapsed: 296s, ETA: 701s [>>>>>>>> ] 1789/6019, 6.0 task/s, elapsed: 296s, ETA: 701s [>>>>>>>> ] 1790/6019, 6.0 task/s, elapsed: 296s, ETA: 700s [>>>>>>>> ] 1791/6019, 6.0 task/s, elapsed: 297s, ETA: 700s [>>>>>>>> ] 1792/6019, 6.0 task/s, elapsed: 297s, ETA: 700s [>>>>>>>> ] 1793/6019, 6.0 task/s, elapsed: 297s, ETA: 700s [>>>>>>>> ] 1794/6019, 6.0 task/s, elapsed: 297s, ETA: 700s [>>>>>>>> ] 1795/6019, 6.0 task/s, elapsed: 297s, ETA: 700s [>>>>>>>> ] 1796/6019, 6.0 task/s, elapsed: 297s, ETA: 699s [>>>>>>>> ] 1797/6019, 6.0 task/s, elapsed: 298s, ETA: 699s [>>>>>>>> ] 1798/6019, 6.0 task/s, elapsed: 298s, 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elapsed: 478s, ETA: 529s [>>>>>>>>>>>> ] 2860/6019, 6.0 task/s, elapsed: 479s, ETA: 529s [>>>>>>>>>>>> ] 2861/6019, 6.0 task/s, elapsed: 479s, ETA: 528s [>>>>>>>>>>>> ] 2862/6019, 6.0 task/s, elapsed: 479s, ETA: 528s [>>>>>>>>>>>> ] 2863/6019, 6.0 task/s, elapsed: 479s, ETA: 528s [>>>>>>>>>>>> ] 2864/6019, 6.0 task/s, elapsed: 479s, ETA: 528s [>>>>>>>>>>>> ] 2865/6019, 6.0 task/s, elapsed: 479s, ETA: 528s [>>>>>>>>>>>> ] 2866/6019, 6.0 task/s, elapsed: 480s, ETA: 528s [>>>>>>>>>>>> ] 2867/6019, 6.0 task/s, elapsed: 480s, ETA: 528s [>>>>>>>>>>>> ] 2868/6019, 6.0 task/s, elapsed: 480s, ETA: 527s [>>>>>>>>>>>> ] 2869/6019, 6.0 task/s, elapsed: 480s, ETA: 527s [>>>>>>>>>>>> ] 2870/6019, 6.0 task/s, elapsed: 480s, ETA: 527s [>>>>>>>>>>>> ] 2871/6019, 6.0 task/s, elapsed: 480s, ETA: 527s [>>>>>>>>>>>> ] 2872/6019, 6.0 task/s, elapsed: 481s, ETA: 527s [>>>>>>>>>>>> ] 2873/6019, 6.0 task/s, elapsed: 481s, ETA: 526s [>>>>>>>>>>>> ] 2874/6019, 6.0 task/s, elapsed: 481s, ETA: 526s [>>>>>>>>>>>> ] 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ETA: 523s [>>>>>>>>>>>> ] 2891/6019, 6.0 task/s, elapsed: 484s, ETA: 523s [>>>>>>>>>>>> ] 2892/6019, 6.0 task/s, elapsed: 484s, ETA: 523s [>>>>>>>>>>>> ] 2893/6019, 6.0 task/s, elapsed: 484s, ETA: 523s [>>>>>>>>>>>> ] 2894/6019, 6.0 task/s, elapsed: 484s, ETA: 523s [>>>>>>>>>>>> ] 2895/6019, 6.0 task/s, elapsed: 484s, ETA: 523s [>>>>>>>>>>>> ] 2896/6019, 6.0 task/s, elapsed: 484s, ETA: 522s [>>>>>>>>>>>> ] 2897/6019, 6.0 task/s, elapsed: 485s, ETA: 522s [>>>>>>>>>>>> ] 2898/6019, 6.0 task/s, elapsed: 485s, ETA: 522s [>>>>>>>>>>>>> ] 2899/6019, 6.0 task/s, elapsed: 485s, ETA: 522s [>>>>>>>>>>>>> ] 2900/6019, 6.0 task/s, elapsed: 485s, ETA: 522s [>>>>>>>>>>>>> ] 2901/6019, 6.0 task/s, elapsed: 485s, ETA: 522s [>>>>>>>>>>>>> ] 2902/6019, 6.0 task/s, elapsed: 485s, ETA: 521s [>>>>>>>>>>>>> ] 2903/6019, 6.0 task/s, elapsed: 486s, ETA: 521s [>>>>>>>>>>>>> ] 2904/6019, 6.0 task/s, elapsed: 486s, ETA: 521s [>>>>>>>>>>>>> ] 2905/6019, 6.0 task/s, elapsed: 486s, ETA: 521s [>>>>>>>>>>>>> ] 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elapsed: 489s, ETA: 518s [>>>>>>>>>>>>> ] 2922/6019, 6.0 task/s, elapsed: 489s, ETA: 518s [>>>>>>>>>>>>> ] 2923/6019, 6.0 task/s, elapsed: 489s, ETA: 518s [>>>>>>>>>>>>> ] 2924/6019, 6.0 task/s, elapsed: 489s, ETA: 518s [>>>>>>>>>>>>> ] 2925/6019, 6.0 task/s, elapsed: 489s, ETA: 518s [>>>>>>>>>>>>> ] 2926/6019, 6.0 task/s, elapsed: 490s, ETA: 517s [>>>>>>>>>>>>> ] 2927/6019, 6.0 task/s, elapsed: 490s, ETA: 517s [>>>>>>>>>>>>> ] 2928/6019, 6.0 task/s, elapsed: 490s, ETA: 517s [>>>>>>>>>>>>> ] 2929/6019, 6.0 task/s, elapsed: 490s, ETA: 517s [>>>>>>>>>>>>> ] 2930/6019, 6.0 task/s, elapsed: 490s, ETA: 517s [>>>>>>>>>>>>> ] 2931/6019, 6.0 task/s, elapsed: 490s, ETA: 517s [>>>>>>>>>>>>> ] 2932/6019, 6.0 task/s, elapsed: 491s, ETA: 516s [>>>>>>>>>>>>> ] 2933/6019, 6.0 task/s, elapsed: 491s, ETA: 516s [>>>>>>>>>>>>> ] 2934/6019, 6.0 task/s, elapsed: 491s, ETA: 516s [>>>>>>>>>>>>> ] 2935/6019, 6.0 task/s, elapsed: 491s, ETA: 516s [>>>>>>>>>>>>> ] 2936/6019, 6.0 task/s, elapsed: 491s, ETA: 516s [>>>>>>>>>>>>> ] 2937/6019, 6.0 task/s, elapsed: 491s, ETA: 516s [>>>>>>>>>>>>> ] 2938/6019, 5.9 task/s, elapsed: 495s, ETA: 519s [>>>>>>>>>>>>> ] 2939/6019, 5.9 task/s, elapsed: 495s, ETA: 519s [>>>>>>>>>>>>> ] 2940/6019, 5.9 task/s, elapsed: 495s, ETA: 519s [>>>>>>>>>>>>> ] 2941/6019, 5.9 task/s, elapsed: 495s, ETA: 518s [>>>>>>>>>>>>> ] 2942/6019, 5.9 task/s, elapsed: 496s, ETA: 518s [>>>>>>>>>>>>> ] 2943/6019, 5.9 task/s, elapsed: 496s, ETA: 518s [>>>>>>>>>>>>> ] 2944/6019, 5.9 task/s, elapsed: 496s, ETA: 518s [>>>>>>>>>>>>> ] 2945/6019, 5.9 task/s, elapsed: 496s, ETA: 518s [>>>>>>>>>>>>> ] 2946/6019, 5.9 task/s, elapsed: 496s, ETA: 518s [>>>>>>>>>>>>> ] 2947/6019, 5.9 task/s, elapsed: 496s, ETA: 517s [>>>>>>>>>>>>> ] 2948/6019, 5.9 task/s, elapsed: 497s, ETA: 517s [>>>>>>>>>>>>> ] 2949/6019, 5.9 task/s, elapsed: 497s, ETA: 517s [>>>>>>>>>>>>> ] 2950/6019, 5.9 task/s, elapsed: 497s, ETA: 517s [>>>>>>>>>>>>> ] 2951/6019, 5.9 task/s, elapsed: 497s, ETA: 517s [>>>>>>>>>>>>> ] 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elapsed: 500s, ETA: 514s [>>>>>>>>>>>>> ] 2968/6019, 5.9 task/s, elapsed: 500s, ETA: 514s [>>>>>>>>>>>>> ] 2969/6019, 5.9 task/s, elapsed: 500s, ETA: 514s [>>>>>>>>>>>>> ] 2970/6019, 5.9 task/s, elapsed: 500s, ETA: 514s [>>>>>>>>>>>>> ] 2971/6019, 5.9 task/s, elapsed: 500s, ETA: 513s [>>>>>>>>>>>>> ] 2972/6019, 5.9 task/s, elapsed: 501s, ETA: 513s [>>>>>>>>>>>>> ] 2973/6019, 5.9 task/s, elapsed: 501s, ETA: 513s [>>>>>>>>>>>>> ] 2974/6019, 5.9 task/s, elapsed: 501s, ETA: 513s [>>>>>>>>>>>>> ] 2975/6019, 5.9 task/s, elapsed: 501s, ETA: 513s [>>>>>>>>>>>>> ] 2976/6019, 5.9 task/s, elapsed: 501s, ETA: 512s [>>>>>>>>>>>>> ] 2977/6019, 5.9 task/s, elapsed: 501s, ETA: 512s [>>>>>>>>>>>>> ] 2978/6019, 5.9 task/s, elapsed: 502s, ETA: 512s [>>>>>>>>>>>>> ] 2979/6019, 5.9 task/s, elapsed: 502s, ETA: 512s [>>>>>>>>>>>>> ] 2980/6019, 5.9 task/s, elapsed: 502s, ETA: 512s [>>>>>>>>>>>>> ] 2981/6019, 5.9 task/s, elapsed: 502s, ETA: 512s [>>>>>>>>>>>>> ] 2982/6019, 5.9 task/s, elapsed: 502s, ETA: 511s [>>>>>>>>>>>>> ] 2983/6019, 5.9 task/s, elapsed: 502s, ETA: 511s [>>>>>>>>>>>>> ] 2984/6019, 5.9 task/s, elapsed: 503s, ETA: 511s [>>>>>>>>>>>>> ] 2985/6019, 5.9 task/s, elapsed: 503s, ETA: 511s [>>>>>>>>>>>>> ] 2986/6019, 5.9 task/s, elapsed: 503s, ETA: 511s [>>>>>>>>>>>>> ] 2987/6019, 5.9 task/s, elapsed: 503s, ETA: 511s [>>>>>>>>>>>>> ] 2988/6019, 5.9 task/s, elapsed: 503s, ETA: 510s [>>>>>>>>>>>>> ] 2989/6019, 5.9 task/s, elapsed: 503s, ETA: 510s [>>>>>>>>>>>>> ] 2990/6019, 5.9 task/s, elapsed: 504s, ETA: 510s [>>>>>>>>>>>>> ] 2991/6019, 5.9 task/s, elapsed: 504s, ETA: 510s [>>>>>>>>>>>>> ] 2992/6019, 5.9 task/s, elapsed: 504s, ETA: 510s [>>>>>>>>>>>>> ] 2993/6019, 5.9 task/s, elapsed: 504s, ETA: 510s [>>>>>>>>>>>>> ] 2994/6019, 5.9 task/s, elapsed: 504s, ETA: 509s [>>>>>>>>>>>>> ] 2995/6019, 5.9 task/s, elapsed: 504s, ETA: 509s [>>>>>>>>>>>>> ] 2996/6019, 5.9 task/s, elapsed: 505s, ETA: 509s [>>>>>>>>>>>>> ] 2997/6019, 5.9 task/s, elapsed: 505s, ETA: 509s [>>>>>>>>>>>>> ] 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elapsed: 508s, ETA: 506s [>>>>>>>>>>>>> ] 3014/6019, 5.9 task/s, elapsed: 508s, ETA: 506s [>>>>>>>>>>>>> ] 3015/6019, 5.9 task/s, elapsed: 508s, ETA: 506s [>>>>>>>>>>>>> ] 3016/6019, 5.9 task/s, elapsed: 508s, ETA: 506s [>>>>>>>>>>>>> ] 3017/6019, 5.9 task/s, elapsed: 508s, ETA: 506s [>>>>>>>>>>>>> ] 3018/6019, 5.9 task/s, elapsed: 508s, ETA: 506s [>>>>>>>>>>>>> ] 3019/6019, 5.9 task/s, elapsed: 509s, ETA: 505s [>>>>>>>>>>>>> ] 3020/6019, 5.9 task/s, elapsed: 509s, ETA: 505s [>>>>>>>>>>>>> ] 3021/6019, 5.9 task/s, elapsed: 509s, ETA: 505s [>>>>>>>>>>>>> ] 3022/6019, 5.9 task/s, elapsed: 509s, ETA: 505s [>>>>>>>>>>>>> ] 3023/6019, 5.9 task/s, elapsed: 509s, ETA: 505s [>>>>>>>>>>>>> ] 3024/6019, 5.9 task/s, elapsed: 509s, ETA: 504s [>>>>>>>>>>>>> ] 3025/6019, 5.9 task/s, elapsed: 510s, ETA: 504s [>>>>>>>>>>>>> ] 3026/6019, 5.9 task/s, elapsed: 510s, ETA: 504s [>>>>>>>>>>>>> ] 3027/6019, 5.9 task/s, elapsed: 510s, ETA: 504s [>>>>>>>>>>>>> ] 3028/6019, 5.9 task/s, elapsed: 510s, ETA: 504s [>>>>>>>>>>>>> ] 3029/6019, 5.9 task/s, elapsed: 510s, ETA: 504s [>>>>>>>>>>>>> ] 3030/6019, 5.9 task/s, elapsed: 510s, ETA: 503s [>>>>>>>>>>>>> ] 3031/6019, 5.9 task/s, elapsed: 511s, ETA: 503s [>>>>>>>>>>>>> ] 3032/6019, 5.9 task/s, elapsed: 511s, ETA: 503s [>>>>>>>>>>>>> ] 3033/6019, 5.9 task/s, elapsed: 511s, ETA: 503s [>>>>>>>>>>>>> ] 3034/6019, 5.9 task/s, elapsed: 511s, ETA: 503s [>>>>>>>>>>>>> ] 3035/6019, 5.9 task/s, elapsed: 511s, ETA: 503s [>>>>>>>>>>>>> ] 3036/6019, 5.9 task/s, elapsed: 511s, ETA: 502s [>>>>>>>>>>>>> ] 3037/6019, 5.9 task/s, elapsed: 512s, ETA: 502s [>>>>>>>>>>>>> ] 3038/6019, 5.9 task/s, elapsed: 512s, ETA: 502s [>>>>>>>>>>>>> ] 3039/6019, 5.9 task/s, elapsed: 512s, ETA: 502s [>>>>>>>>>>>>> ] 3040/6019, 5.9 task/s, elapsed: 512s, ETA: 502s [>>>>>>>>>>>>> ] 3041/6019, 5.9 task/s, elapsed: 512s, ETA: 502s [>>>>>>>>>>>>> ] 3042/6019, 5.9 task/s, elapsed: 512s, ETA: 501s [>>>>>>>>>>>>> ] 3043/6019, 5.9 task/s, elapsed: 513s, ETA: 501s [>>>>>>>>>>>>> ] 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] 3876/6019, 5.9 task/s, elapsed: 654s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3877/6019, 5.9 task/s, elapsed: 654s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3878/6019, 5.9 task/s, elapsed: 654s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3879/6019, 5.9 task/s, elapsed: 654s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3880/6019, 5.9 task/s, elapsed: 654s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.9 task/s, elapsed: 655s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3883/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3884/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3885/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3886/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3887/6019, 5.9 task/s, elapsed: 656s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3888/6019, 5.9 task/s, elapsed: 656s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3889/6019, 5.9 task/s, elapsed: 656s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3890/6019, 5.9 task/s, elapsed: 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] 3934/6019, 5.9 task/s, elapsed: 664s, ETA: 352s [>>>>>>>>>>>>>>>>> ] 3935/6019, 5.9 task/s, elapsed: 664s, ETA: 352s [>>>>>>>>>>>>>>>>> ] 3936/6019, 5.9 task/s, elapsed: 664s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3937/6019, 5.9 task/s, elapsed: 664s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3938/6019, 5.9 task/s, elapsed: 664s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3939/6019, 5.9 task/s, elapsed: 664s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3940/6019, 5.9 task/s, elapsed: 665s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3941/6019, 5.9 task/s, elapsed: 665s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3942/6019, 5.9 task/s, elapsed: 665s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3943/6019, 5.9 task/s, elapsed: 665s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3944/6019, 5.9 task/s, elapsed: 665s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3945/6019, 5.9 task/s, elapsed: 665s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3946/6019, 5.9 task/s, elapsed: 666s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3947/6019, 5.9 task/s, elapsed: 666s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3948/6019, 5.9 task/s, elapsed: 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] 3963/6019, 5.9 task/s, elapsed: 668s, ETA: 347s [>>>>>>>>>>>>>>>>> ] 3964/6019, 5.9 task/s, elapsed: 668s, ETA: 347s [>>>>>>>>>>>>>>>>> ] 3965/6019, 5.9 task/s, elapsed: 669s, ETA: 346s [>>>>>>>>>>>>>>>>> ] 3966/6019, 5.9 task/s, elapsed: 669s, ETA: 346s [>>>>>>>>>>>>>>>>> ] 3967/6019, 5.9 task/s, elapsed: 669s, ETA: 346s [>>>>>>>>>>>>>>>>> ] 3968/6019, 5.9 task/s, elapsed: 669s, ETA: 346s [>>>>>>>>>>>>>>>>> ] 3969/6019, 5.9 task/s, elapsed: 669s, ETA: 346s [>>>>>>>>>>>>>>>>> ] 3970/6019, 5.9 task/s, elapsed: 669s, ETA: 345s [>>>>>>>>>>>>>>>>> ] 3971/6019, 5.9 task/s, elapsed: 670s, ETA: 345s [>>>>>>>>>>>>>>>>> ] 3972/6019, 5.9 task/s, elapsed: 670s, ETA: 345s [>>>>>>>>>>>>>>>>> ] 3973/6019, 5.9 task/s, elapsed: 670s, ETA: 345s [>>>>>>>>>>>>>>>>> ] 3974/6019, 5.9 task/s, elapsed: 670s, ETA: 345s [>>>>>>>>>>>>>>>>> ] 3975/6019, 5.9 task/s, elapsed: 670s, ETA: 345s [>>>>>>>>>>>>>>>>> ] 3976/6019, 5.9 task/s, elapsed: 670s, ETA: 344s [>>>>>>>>>>>>>>>>> ] 3977/6019, 5.9 task/s, elapsed: 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] 3992/6019, 5.9 task/s, elapsed: 673s, ETA: 342s [>>>>>>>>>>>>>>>>> ] 3993/6019, 5.9 task/s, elapsed: 673s, ETA: 342s [>>>>>>>>>>>>>>>>> ] 3994/6019, 5.9 task/s, elapsed: 673s, ETA: 341s [>>>>>>>>>>>>>>>>> ] 3995/6019, 5.9 task/s, elapsed: 673s, ETA: 341s [>>>>>>>>>>>>>>>>> ] 3996/6019, 5.9 task/s, elapsed: 674s, ETA: 341s [>>>>>>>>>>>>>>>>> ] 3997/6019, 5.9 task/s, elapsed: 674s, ETA: 341s [>>>>>>>>>>>>>>>>> ] 3998/6019, 5.9 task/s, elapsed: 674s, ETA: 341s [>>>>>>>>>>>>>>>>> ] 3999/6019, 5.9 task/s, elapsed: 674s, ETA: 340s [>>>>>>>>>>>>>>>>> ] 4000/6019, 5.9 task/s, elapsed: 674s, ETA: 340s [>>>>>>>>>>>>>>>>> ] 4001/6019, 5.9 task/s, elapsed: 674s, ETA: 340s [>>>>>>>>>>>>>>>>> ] 4002/6019, 5.9 task/s, elapsed: 675s, ETA: 340s [>>>>>>>>>>>>>>>>> ] 4003/6019, 5.9 task/s, elapsed: 675s, ETA: 340s [>>>>>>>>>>>>>>>>> ] 4004/6019, 5.9 task/s, elapsed: 675s, ETA: 340s [>>>>>>>>>>>>>>>>> ] 4005/6019, 5.9 task/s, elapsed: 675s, ETA: 339s [>>>>>>>>>>>>>>>>> ] 4006/6019, 5.9 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>> ] 4830/6019, 5.9 task/s, elapsed: 819s, ETA: 201s [>>>>>>>>>>>>>>>>>>>>> ] 4831/6019, 5.9 task/s, elapsed: 819s, ETA: 201s [>>>>>>>>>>>>>>>>>>>>> ] 4832/6019, 5.9 task/s, elapsed: 819s, ETA: 201s [>>>>>>>>>>>>>>>>>>>>> ] 4833/6019, 5.9 task/s, elapsed: 819s, ETA: 201s [>>>>>>>>>>>>>>>>>>>>> ] 4834/6019, 5.9 task/s, elapsed: 819s, ETA: 201s [>>>>>>>>>>>>>>>>>>>>> ] 4835/6019, 5.9 task/s, elapsed: 819s, ETA: 201s [>>>>>>>>>>>>>>>>>>>>> ] 4836/6019, 5.9 task/s, elapsed: 820s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4837/6019, 5.9 task/s, elapsed: 820s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4838/6019, 5.9 task/s, elapsed: 820s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4839/6019, 5.9 task/s, elapsed: 820s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4840/6019, 5.9 task/s, elapsed: 820s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4841/6019, 5.9 task/s, elapsed: 820s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4842/6019, 5.9 task/s, elapsed: 821s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4843/6019, 5.9 task/s, 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[>>>>>>>>>>>>>>>>>>>>> ] 4871/6019, 5.9 task/s, elapsed: 826s, ETA: 195s [>>>>>>>>>>>>>>>>>>>>> ] 4872/6019, 5.9 task/s, elapsed: 826s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4873/6019, 5.9 task/s, elapsed: 826s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4874/6019, 5.9 task/s, elapsed: 826s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4875/6019, 5.9 task/s, elapsed: 826s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4876/6019, 5.9 task/s, elapsed: 826s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4877/6019, 5.9 task/s, elapsed: 827s, ETA: 194s [>>>>>>>>>>>>>>>>>>>>> ] 4878/6019, 5.9 task/s, elapsed: 827s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>> ] 4879/6019, 5.9 task/s, elapsed: 827s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>> ] 4880/6019, 5.9 task/s, elapsed: 827s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>> ] 4881/6019, 5.9 task/s, elapsed: 827s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>> ] 4882/6019, 5.9 task/s, elapsed: 827s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>> ] 4883/6019, 5.9 task/s, elapsed: 828s, ETA: 193s [>>>>>>>>>>>>>>>>>>>>> ] 4884/6019, 5.9 task/s, 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] 5314/6019, 5.9 task/s, elapsed: 899s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5315/6019, 5.9 task/s, elapsed: 899s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5316/6019, 5.9 task/s, elapsed: 899s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5317/6019, 5.9 task/s, elapsed: 899s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5318/6019, 5.9 task/s, elapsed: 900s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5319/6019, 5.9 task/s, elapsed: 900s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5320/6019, 5.9 task/s, elapsed: 900s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5321/6019, 5.9 task/s, elapsed: 900s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5322/6019, 5.9 task/s, elapsed: 900s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5323/6019, 5.9 task/s, elapsed: 900s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5324/6019, 5.9 task/s, elapsed: 901s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5325/6019, 5.9 task/s, elapsed: 901s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5326/6019, 5.9 task/s, elapsed: 901s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5327/6019, 5.9 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.9 task/s, elapsed: 1009s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.9 task/s, elapsed: 1009s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.9 task/s, elapsed: 1009s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.9 task/s, elapsed: 1010s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.9 task/s, elapsed: 1010s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.9 task/s, elapsed: 1010s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.9 task/s, elapsed: 1010s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.9 task/s, elapsed: 1010s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.9 task/s, elapsed: 1010s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.9 task/s, elapsed: 1011s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.9 task/s, elapsed: 1011s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.9 task/s, elapsed: 1011s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.9 task/s, elapsed: 1011s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.9 task/s, elapsed: 1011s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.9 task/s, elapsed: 1011s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.9 task/s, elapsed: 1012s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.9 task/s, elapsed: 1012s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.9 task/s, elapsed: 1012s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.9 task/s, elapsed: 1012s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.9 task/s, elapsed: 1012s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.9 task/s, elapsed: 1013s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.9 task/s, elapsed: 1013s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.9 task/s, elapsed: 1013s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.9 task/s, elapsed: 1013s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.9 task/s, elapsed: 1013s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.9 task/s, elapsed: 1013s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.9 task/s, elapsed: 1014s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.9 task/s, elapsed: 1014s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.9 task/s, elapsed: 1014s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.9 task/s, elapsed: 1014s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.9 task/s, elapsed: 1014s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.9 task/s, elapsed: 1014s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.9 task/s, elapsed: 1015s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.9 task/s, elapsed: 1015s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.9 task/s, elapsed: 1015s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.9 task/s, elapsed: 1015s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.9 task/s, elapsed: 1015s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.9 task/s, elapsed: 1015s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.9 task/s, elapsed: 1016s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.9 task/s, elapsed: 1016s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.9 task/s, elapsed: 1016s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.9 task/s, elapsed: 1016s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.9 task/s, elapsed: 1016s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.9 task/s, elapsed: 1017s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.9 task/s, elapsed: 1017s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.9 task/s, elapsed: 1017s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.9 task/s, elapsed: 1017s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.9 task/s, elapsed: 1017s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.9 task/s, elapsed: 1017s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.9 task/s, elapsed: 1018s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.9 task/s, elapsed: 1018s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.9 task/s, elapsed: 1018s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.9 task/s, elapsed: 1018s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.9 task/s, elapsed: 1018s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.9 task/s, elapsed: 1018s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.9 task/s, elapsed: 1019s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.9 task/s, elapsed: 1019s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.9 task/s, elapsed: 1019s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.9 task/s, elapsed: 1019s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.9 task/s, elapsed: 1019s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.9 task/s, elapsed: 1020s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.9 task/s, elapsed: 1020s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.9 task/s, elapsed: 1020s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.9 task/s, elapsed: 1020s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.9 task/s, elapsed: 1020s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.9 task/s, elapsed: 1020s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.9 task/s, elapsed: 1021s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.9 task/s, elapsed: 1021s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.9 task/s, elapsed: 1021s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.9 task/s, elapsed: 1021s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.9 task/s, elapsed: 1021s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.9 task/s, elapsed: 1021s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.9 task/s, elapsed: 1022s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.9 task/s, elapsed: 1022s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.9 task/s, elapsed: 1022s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.9 task/s, elapsed: 1022s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.9 task/s, elapsed: 1022s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.9 task/s, elapsed: 1023s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.9 task/s, elapsed: 1023s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.9 task/s, elapsed: 1023s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.9 task/s, elapsed: 1023s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.9 task/s, elapsed: 1023s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.9 task/s, elapsed: 1023s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.9 task/s, elapsed: 1024s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.9 task/s, elapsed: 1024s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.9 task/s, elapsed: 1024s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.9 task/s, elapsed: 1024s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.9 task/s, elapsed: 1024s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.9 task/s, elapsed: 1024s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.9 task/s, elapsed: 1025s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.9 task/s, elapsed: 1025s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.9 task/s, elapsed: 1025s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.9 task/s, elapsed: 1025s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.9 task/s, elapsed: 1025s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.9 task/s, elapsed: 1026s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.9 task/s, elapsed: 1026s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.9 task/s, elapsed: 1026s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.9 task/s, elapsed: 1026s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.9 task/s, elapsed: 1026s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.9 task/s, elapsed: 1026s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.9 task/s, elapsed: 1027s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.9 task/s, elapsed: 1027s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.9 task/s, elapsed: 1027s, ETA: 0s +Results writes to /tmp/tmplhxmv8ms/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.0 task/s, elapsed: 35s, ETA: 967s [> ] 209/6019, 6.0 task/s, elapsed: 35s, ETA: 967s [> ] 210/6019, 6.0 task/s, elapsed: 35s, ETA: 967s [> ] 211/6019, 6.0 task/s, elapsed: 35s, ETA: 967s [> ] 212/6019, 6.0 task/s, elapsed: 35s, ETA: 966s [> ] 213/6019, 6.0 task/s, elapsed: 35s, ETA: 966s [> ] 214/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 215/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 216/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 217/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 218/6019, 6.0 task/s, elapsed: 36s, ETA: 966s [> ] 219/6019, 6.0 task/s, elapsed: 36s, ETA: 965s [> ] 220/6019, 6.0 task/s, elapsed: 37s, ETA: 965s [> ] 221/6019, 6.0 task/s, elapsed: 37s, ETA: 965s [> ] 222/6019, 6.0 task/s, elapsed: 37s, ETA: 965s [> ] 223/6019, 6.0 task/s, elapsed: 37s, ETA: 965s [> ] 224/6019, 6.0 task/s, elapsed: 37s, ETA: 965s [> ] 225/6019, 6.0 task/s, elapsed: 37s, ETA: 965s [> ] 226/6019, 6.0 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] 3844/6019, 5.9 task/s, elapsed: 649s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3845/6019, 5.9 task/s, elapsed: 650s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3846/6019, 5.9 task/s, elapsed: 650s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3847/6019, 5.9 task/s, elapsed: 650s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3848/6019, 5.9 task/s, elapsed: 650s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3849/6019, 5.9 task/s, elapsed: 650s, ETA: 367s [>>>>>>>>>>>>>>>>> ] 3850/6019, 5.9 task/s, elapsed: 650s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3851/6019, 5.9 task/s, elapsed: 651s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.9 task/s, elapsed: 651s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.9 task/s, elapsed: 651s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.9 task/s, elapsed: 651s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.9 task/s, elapsed: 651s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.9 task/s, elapsed: 651s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.9 task/s, elapsed: 652s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3858/6019, 5.9 task/s, elapsed: 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] 3873/6019, 5.9 task/s, elapsed: 654s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3874/6019, 5.9 task/s, elapsed: 655s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3875/6019, 5.9 task/s, elapsed: 655s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3876/6019, 5.9 task/s, elapsed: 655s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3877/6019, 5.9 task/s, elapsed: 655s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3878/6019, 5.9 task/s, elapsed: 655s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3879/6019, 5.9 task/s, elapsed: 655s, ETA: 362s [>>>>>>>>>>>>>>>>> ] 3880/6019, 5.9 task/s, elapsed: 656s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.9 task/s, elapsed: 656s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.9 task/s, elapsed: 656s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3883/6019, 5.9 task/s, elapsed: 656s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3884/6019, 5.9 task/s, elapsed: 656s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3885/6019, 5.9 task/s, elapsed: 656s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3886/6019, 5.9 task/s, elapsed: 657s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3887/6019, 5.9 task/s, elapsed: 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] 3902/6019, 5.9 task/s, elapsed: 659s, ETA: 358s [>>>>>>>>>>>>>>>>> ] 3903/6019, 5.9 task/s, elapsed: 659s, ETA: 358s [>>>>>>>>>>>>>>>>> ] 3904/6019, 5.9 task/s, elapsed: 660s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3905/6019, 5.9 task/s, elapsed: 660s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3906/6019, 5.9 task/s, elapsed: 660s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3907/6019, 5.9 task/s, elapsed: 660s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3908/6019, 5.9 task/s, elapsed: 660s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3909/6019, 5.9 task/s, elapsed: 661s, ETA: 357s [>>>>>>>>>>>>>>>>> ] 3910/6019, 5.9 task/s, elapsed: 661s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3911/6019, 5.9 task/s, elapsed: 661s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3912/6019, 5.9 task/s, elapsed: 661s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3913/6019, 5.9 task/s, elapsed: 661s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3914/6019, 5.9 task/s, elapsed: 661s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3915/6019, 5.9 task/s, elapsed: 662s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3916/6019, 5.9 task/s, elapsed: 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] 4203/6019, 5.9 task/s, elapsed: 709s, ETA: 306s [>>>>>>>>>>>>>>>>>> ] 4204/6019, 5.9 task/s, elapsed: 709s, ETA: 306s [>>>>>>>>>>>>>>>>>> ] 4205/6019, 5.9 task/s, elapsed: 709s, ETA: 306s [>>>>>>>>>>>>>>>>>> ] 4206/6019, 5.9 task/s, elapsed: 710s, ETA: 306s [>>>>>>>>>>>>>>>>>> ] 4207/6019, 5.9 task/s, elapsed: 710s, ETA: 306s [>>>>>>>>>>>>>>>>>> ] 4208/6019, 5.9 task/s, elapsed: 710s, ETA: 306s [>>>>>>>>>>>>>>>>>> ] 4209/6019, 5.9 task/s, elapsed: 710s, ETA: 305s [>>>>>>>>>>>>>>>>>> ] 4210/6019, 5.9 task/s, elapsed: 710s, ETA: 305s [>>>>>>>>>>>>>>>>>> ] 4211/6019, 5.9 task/s, elapsed: 710s, ETA: 305s [>>>>>>>>>>>>>>>>>> ] 4212/6019, 5.9 task/s, elapsed: 711s, ETA: 305s [>>>>>>>>>>>>>>>>>> ] 4213/6019, 5.9 task/s, elapsed: 711s, ETA: 305s [>>>>>>>>>>>>>>>>>> ] 4214/6019, 5.9 task/s, elapsed: 711s, ETA: 305s [>>>>>>>>>>>>>>>>>> ] 4215/6019, 5.9 task/s, elapsed: 711s, ETA: 304s [>>>>>>>>>>>>>>>>>> ] 4216/6019, 5.9 task/s, elapsed: 711s, ETA: 304s [>>>>>>>>>>>>>>>>>> ] 4217/6019, 5.9 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.9 task/s, elapsed: 1020s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.9 task/s, elapsed: 1020s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.9 task/s, elapsed: 1021s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.9 task/s, elapsed: 1021s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.9 task/s, elapsed: 1021s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.9 task/s, elapsed: 1021s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.9 task/s, elapsed: 1021s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.9 task/s, elapsed: 1021s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.9 task/s, elapsed: 1022s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.9 task/s, elapsed: 1022s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.9 task/s, elapsed: 1022s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.9 task/s, elapsed: 1022s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.9 task/s, elapsed: 1022s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.9 task/s, elapsed: 1023s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.9 task/s, elapsed: 1023s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.9 task/s, elapsed: 1023s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.9 task/s, elapsed: 1023s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.9 task/s, elapsed: 1023s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.9 task/s, elapsed: 1023s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.9 task/s, elapsed: 1024s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.9 task/s, elapsed: 1024s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.9 task/s, elapsed: 1024s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.9 task/s, elapsed: 1024s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.9 task/s, elapsed: 1024s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.9 task/s, elapsed: 1025s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.9 task/s, elapsed: 1025s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.9 task/s, elapsed: 1025s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.9 task/s, elapsed: 1025s, ETA: 0s +Results writes to /tmp/tmpvb0wf8dx/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.1 task/s, elapsed: 34s, ETA: 957s [> ] 209/6019, 6.1 task/s, elapsed: 34s, ETA: 956s [> ] 210/6019, 6.1 task/s, elapsed: 35s, ETA: 956s [> ] 211/6019, 6.1 task/s, elapsed: 35s, ETA: 956s [> ] 212/6019, 6.1 task/s, elapsed: 35s, ETA: 956s [> ] 213/6019, 6.1 task/s, elapsed: 35s, ETA: 956s [> ] 214/6019, 6.1 task/s, elapsed: 35s, ETA: 955s [> ] 215/6019, 6.1 task/s, elapsed: 35s, ETA: 955s [> ] 216/6019, 6.1 task/s, elapsed: 36s, ETA: 955s [> ] 217/6019, 6.1 task/s, elapsed: 36s, ETA: 955s [> ] 218/6019, 6.1 task/s, elapsed: 36s, ETA: 955s [> ] 219/6019, 6.1 task/s, elapsed: 36s, ETA: 955s [> ] 220/6019, 6.1 task/s, elapsed: 36s, ETA: 955s [> ] 221/6019, 6.1 task/s, elapsed: 36s, ETA: 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] 5572/6019, 5.9 task/s, elapsed: 937s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5573/6019, 5.9 task/s, elapsed: 938s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5574/6019, 5.9 task/s, elapsed: 938s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5575/6019, 5.9 task/s, elapsed: 938s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5576/6019, 5.9 task/s, elapsed: 938s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5577/6019, 5.9 task/s, elapsed: 938s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5578/6019, 5.9 task/s, elapsed: 938s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5579/6019, 5.9 task/s, elapsed: 939s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5580/6019, 5.9 task/s, elapsed: 939s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5581/6019, 5.9 task/s, elapsed: 939s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5582/6019, 5.9 task/s, elapsed: 939s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5583/6019, 5.9 task/s, elapsed: 939s, ETA: 73s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5584/6019, 5.9 task/s, elapsed: 939s, ETA: 73s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5585/6019, 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.9 task/s, elapsed: 1013s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.9 task/s, elapsed: 1013s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.9 task/s, elapsed: 1013s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.9 task/s, elapsed: 1013s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.9 task/s, elapsed: 1013s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.9 task/s, elapsed: 1014s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.9 task/s, elapsed: 1014s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.9 task/s, elapsed: 1014s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.9 task/s, elapsed: 1014s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.9 task/s, elapsed: 1014s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.9 task/s, elapsed: 1015s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.9 task/s, elapsed: 1015s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.9 task/s, elapsed: 1015s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.9 task/s, elapsed: 1015s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.9 task/s, elapsed: 1015s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.9 task/s, elapsed: 1015s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.9 task/s, elapsed: 1016s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.9 task/s, elapsed: 1016s, ETA: 0s +Results writes to /tmp/tmpn49xcgf4/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.1 task/s, elapsed: 34s, ETA: 953s [> ] 209/6019, 6.1 task/s, elapsed: 34s, ETA: 953s [> ] 210/6019, 6.1 task/s, elapsed: 34s, ETA: 953s [> ] 211/6019, 6.1 task/s, elapsed: 35s, ETA: 953s [> ] 212/6019, 6.1 task/s, elapsed: 35s, ETA: 953s [> ] 213/6019, 6.1 task/s, elapsed: 35s, ETA: 952s [> ] 214/6019, 6.1 task/s, elapsed: 35s, ETA: 952s [> ] 215/6019, 6.1 task/s, elapsed: 35s, ETA: 952s [> ] 216/6019, 6.1 task/s, elapsed: 35s, ETA: 952s [> ] 217/6019, 6.1 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] 883/6019, 6.2 task/s, elapsed: 143s, ETA: 832s [>>>> ] 884/6019, 6.2 task/s, elapsed: 143s, ETA: 832s [>>>> ] 885/6019, 6.2 task/s, elapsed: 143s, ETA: 831s [>>>> ] 886/6019, 6.2 task/s, elapsed: 143s, ETA: 831s [>>>> ] 887/6019, 6.2 task/s, elapsed: 144s, ETA: 831s [>>>> ] 888/6019, 6.2 task/s, elapsed: 144s, ETA: 831s [>>>> ] 889/6019, 6.2 task/s, elapsed: 144s, ETA: 831s [>>>> ] 890/6019, 6.2 task/s, elapsed: 144s, ETA: 831s [>>>> ] 891/6019, 6.2 task/s, elapsed: 144s, ETA: 830s [>>>> ] 892/6019, 6.2 task/s, elapsed: 144s, ETA: 830s [>>>> ] 893/6019, 6.2 task/s, elapsed: 145s, ETA: 830s [>>>> ] 894/6019, 6.2 task/s, elapsed: 145s, ETA: 830s [>>>> ] 895/6019, 6.2 task/s, elapsed: 145s, ETA: 830s [>>>> ] 896/6019, 6.2 task/s, elapsed: 145s, ETA: 830s [>>>> ] 897/6019, 6.2 task/s, elapsed: 145s, ETA: 829s [>>>> ] 898/6019, 6.2 task/s, elapsed: 145s, ETA: 829s [>>>> ] 899/6019, 6.2 task/s, elapsed: 146s, ETA: 829s [>>>> ] 900/6019, 6.2 task/s, elapsed: 146s, ETA: 829s [>>>> ] 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] 3997/6019, 6.0 task/s, elapsed: 669s, ETA: 338s [>>>>>>>>>>>>>>>>> ] 3998/6019, 6.0 task/s, elapsed: 669s, ETA: 338s [>>>>>>>>>>>>>>>>> ] 3999/6019, 6.0 task/s, elapsed: 669s, ETA: 338s [>>>>>>>>>>>>>>>>> ] 4000/6019, 6.0 task/s, elapsed: 669s, ETA: 338s [>>>>>>>>>>>>>>>>> ] 4001/6019, 6.0 task/s, elapsed: 670s, ETA: 338s [>>>>>>>>>>>>>>>>> ] 4002/6019, 6.0 task/s, elapsed: 670s, ETA: 338s [>>>>>>>>>>>>>>>>> ] 4003/6019, 6.0 task/s, elapsed: 670s, ETA: 337s [>>>>>>>>>>>>>>>>> ] 4004/6019, 6.0 task/s, elapsed: 670s, ETA: 337s [>>>>>>>>>>>>>>>>> ] 4005/6019, 6.0 task/s, elapsed: 670s, ETA: 337s [>>>>>>>>>>>>>>>>> ] 4006/6019, 6.0 task/s, elapsed: 670s, ETA: 337s [>>>>>>>>>>>>>>>>> ] 4007/6019, 6.0 task/s, elapsed: 671s, ETA: 337s [>>>>>>>>>>>>>>>>> ] 4008/6019, 6.0 task/s, elapsed: 671s, ETA: 337s [>>>>>>>>>>>>>>>>> ] 4009/6019, 6.0 task/s, elapsed: 671s, ETA: 336s [>>>>>>>>>>>>>>>>> ] 4010/6019, 6.0 task/s, elapsed: 671s, ETA: 336s [>>>>>>>>>>>>>>>>> ] 4011/6019, 6.0 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>> ] 4753/6019, 5.9 task/s, elapsed: 800s, ETA: 213s [>>>>>>>>>>>>>>>>>>>>> ] 4754/6019, 5.9 task/s, elapsed: 800s, ETA: 213s [>>>>>>>>>>>>>>>>>>>>> ] 4755/6019, 5.9 task/s, elapsed: 800s, ETA: 213s [>>>>>>>>>>>>>>>>>>>>> ] 4756/6019, 5.9 task/s, elapsed: 800s, ETA: 213s [>>>>>>>>>>>>>>>>>>>>> ] 4757/6019, 5.9 task/s, elapsed: 801s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4758/6019, 5.9 task/s, elapsed: 801s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4759/6019, 5.9 task/s, elapsed: 801s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4760/6019, 5.9 task/s, elapsed: 801s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4761/6019, 5.9 task/s, elapsed: 801s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4762/6019, 5.9 task/s, elapsed: 801s, ETA: 212s [>>>>>>>>>>>>>>>>>>>>> ] 4763/6019, 5.9 task/s, elapsed: 801s, ETA: 211s [>>>>>>>>>>>>>>>>>>>>> ] 4764/6019, 5.9 task/s, elapsed: 802s, ETA: 211s [>>>>>>>>>>>>>>>>>>>>> ] 4765/6019, 5.9 task/s, elapsed: 802s, ETA: 211s [>>>>>>>>>>>>>>>>>>>>> ] 4766/6019, 5.9 task/s, 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[>>>>>>>>>>>>>>>>>>>>> ] 4794/6019, 5.9 task/s, elapsed: 807s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4795/6019, 5.9 task/s, elapsed: 807s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4796/6019, 5.9 task/s, elapsed: 807s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4797/6019, 5.9 task/s, elapsed: 807s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4798/6019, 5.9 task/s, elapsed: 807s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4799/6019, 5.9 task/s, elapsed: 808s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4800/6019, 5.9 task/s, elapsed: 808s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4801/6019, 5.9 task/s, elapsed: 808s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4802/6019, 5.9 task/s, elapsed: 808s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4803/6019, 5.9 task/s, elapsed: 808s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4804/6019, 5.9 task/s, elapsed: 808s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4805/6019, 5.9 task/s, elapsed: 809s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4806/6019, 5.9 task/s, elapsed: 809s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4807/6019, 5.9 task/s, elapsed: 809s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4808/6019, 5.9 task/s, elapsed: 809s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4809/6019, 5.9 task/s, elapsed: 809s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4810/6019, 5.9 task/s, elapsed: 810s, ETA: 203s [>>>>>>>>>>>>>>>>>>>>> ] 4811/6019, 5.9 task/s, elapsed: 810s, ETA: 203s [>>>>>>>>>>>>>>>>>>>>> ] 4812/6019, 5.9 task/s, elapsed: 810s, ETA: 203s [>>>>>>>>>>>>>>>>>>>>> ] 4813/6019, 5.9 task/s, elapsed: 810s, ETA: 203s [>>>>>>>>>>>>>>>>>>>>> ] 4814/6019, 5.9 task/s, elapsed: 810s, ETA: 203s [>>>>>>>>>>>>>>>>>>>>> ] 4815/6019, 5.9 task/s, elapsed: 810s, ETA: 203s [>>>>>>>>>>>>>>>>>>>>> ] 4816/6019, 5.9 task/s, elapsed: 811s, ETA: 202s [>>>>>>>>>>>>>>>>>>>>> ] 4817/6019, 5.9 task/s, elapsed: 811s, ETA: 202s [>>>>>>>>>>>>>>>>>>>>> ] 4818/6019, 5.9 task/s, elapsed: 811s, ETA: 202s [>>>>>>>>>>>>>>>>>>>>> ] 4819/6019, 5.9 task/s, elapsed: 811s, ETA: 202s [>>>>>>>>>>>>>>>>>>>>> ] 4820/6019, 5.9 task/s, elapsed: 811s, ETA: 202s [>>>>>>>>>>>>>>>>>>>>> ] 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[>>>>>>>>>>>>>>>>>>>>> ] 4835/6019, 5.9 task/s, elapsed: 814s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4836/6019, 5.9 task/s, elapsed: 814s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4837/6019, 5.9 task/s, elapsed: 814s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4838/6019, 5.9 task/s, elapsed: 814s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4839/6019, 5.9 task/s, elapsed: 814s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4840/6019, 5.9 task/s, elapsed: 815s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4841/6019, 5.9 task/s, elapsed: 815s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4842/6019, 5.9 task/s, elapsed: 815s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4843/6019, 5.9 task/s, elapsed: 815s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4844/6019, 5.9 task/s, elapsed: 815s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4845/6019, 5.9 task/s, elapsed: 815s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4846/6019, 5.9 task/s, elapsed: 816s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4847/6019, 5.9 task/s, elapsed: 816s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4848/6019, 5.9 task/s, 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[>>>>>>>>>>>>>>>>>>>>> ] 4876/6019, 5.9 task/s, elapsed: 821s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>> ] 4877/6019, 5.9 task/s, elapsed: 821s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>> ] 4878/6019, 5.9 task/s, elapsed: 821s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>> ] 4879/6019, 5.9 task/s, elapsed: 821s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>> ] 4880/6019, 5.9 task/s, elapsed: 821s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>> ] 4881/6019, 5.9 task/s, elapsed: 822s, ETA: 192s [>>>>>>>>>>>>>>>>>>>>> ] 4882/6019, 5.9 task/s, elapsed: 822s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>> ] 4883/6019, 5.9 task/s, elapsed: 822s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>> ] 4884/6019, 5.9 task/s, elapsed: 822s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>> ] 4885/6019, 5.9 task/s, elapsed: 822s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>> ] 4886/6019, 5.9 task/s, elapsed: 822s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>> ] 4887/6019, 5.9 task/s, elapsed: 823s, ETA: 191s [>>>>>>>>>>>>>>>>>>>>> ] 4888/6019, 5.9 task/s, elapsed: 823s, ETA: 190s [>>>>>>>>>>>>>>>>>>>>> ] 4889/6019, 5.9 task/s, elapsed: 823s, ETA: 190s [>>>>>>>>>>>>>>>>>>>>> ] 4890/6019, 5.9 task/s, elapsed: 823s, ETA: 190s [>>>>>>>>>>>>>>>>>>>>> ] 4891/6019, 5.9 task/s, elapsed: 823s, ETA: 190s [>>>>>>>>>>>>>>>>>>>>> ] 4892/6019, 5.9 task/s, elapsed: 823s, ETA: 190s [>>>>>>>>>>>>>>>>>>>>> ] 4893/6019, 5.9 task/s, elapsed: 824s, ETA: 190s [>>>>>>>>>>>>>>>>>>>>> ] 4894/6019, 5.9 task/s, elapsed: 824s, ETA: 189s [>>>>>>>>>>>>>>>>>>>>> ] 4895/6019, 5.9 task/s, elapsed: 824s, ETA: 189s [>>>>>>>>>>>>>>>>>>>>> ] 4896/6019, 5.9 task/s, elapsed: 824s, ETA: 189s [>>>>>>>>>>>>>>>>>>>>> ] 4897/6019, 5.9 task/s, elapsed: 824s, ETA: 189s [>>>>>>>>>>>>>>>>>>>>> ] 4898/6019, 5.9 task/s, elapsed: 824s, ETA: 189s [>>>>>>>>>>>>>>>>>>>>> ] 4899/6019, 5.9 task/s, elapsed: 825s, ETA: 189s [>>>>>>>>>>>>>>>>>>>>> ] 4900/6019, 5.9 task/s, elapsed: 825s, ETA: 188s [>>>>>>>>>>>>>>>>>>>>> ] 4901/6019, 5.9 task/s, elapsed: 825s, ETA: 188s [>>>>>>>>>>>>>>>>>>>>> ] 4902/6019, 5.9 task/s, elapsed: 825s, ETA: 188s [>>>>>>>>>>>>>>>>>>>>> ] 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5701/6019, 5.9 task/s, elapsed: 965s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5702/6019, 5.9 task/s, elapsed: 965s, ETA: 54s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5703/6019, 5.9 task/s, elapsed: 965s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5704/6019, 5.9 task/s, elapsed: 965s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5705/6019, 5.9 task/s, elapsed: 966s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5706/6019, 5.9 task/s, elapsed: 966s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5707/6019, 5.9 task/s, elapsed: 966s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5708/6019, 5.9 task/s, elapsed: 966s, ETA: 53s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5709/6019, 5.9 task/s, elapsed: 966s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5710/6019, 5.9 task/s, elapsed: 967s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5711/6019, 5.9 task/s, elapsed: 967s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5712/6019, 5.9 task/s, elapsed: 967s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5713/6019, 5.9 task/s, elapsed: 967s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5714/6019, 5.9 task/s, elapsed: 967s, ETA: 52s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5715/6019, 5.9 task/s, elapsed: 967s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5716/6019, 5.9 task/s, elapsed: 968s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5717/6019, 5.9 task/s, elapsed: 968s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5718/6019, 5.9 task/s, elapsed: 968s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5719/6019, 5.9 task/s, elapsed: 968s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5720/6019, 5.9 task/s, elapsed: 968s, ETA: 51s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5721/6019, 5.9 task/s, elapsed: 968s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5722/6019, 5.9 task/s, elapsed: 969s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5723/6019, 5.9 task/s, elapsed: 969s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5724/6019, 5.9 task/s, elapsed: 969s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5725/6019, 5.9 task/s, elapsed: 969s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5726/6019, 5.9 task/s, elapsed: 969s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5727/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5728/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5729/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5730/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5731/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5732/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5733/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5734/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5735/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5736/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5737/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5738/6019, 5.9 task/s, elapsed: 972s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5739/6019, 5.9 task/s, elapsed: 972s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5740/6019, 5.9 task/s, elapsed: 972s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5741/6019, 5.9 task/s, elapsed: 972s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5742/6019, 5.9 task/s, elapsed: 972s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5743/6019, 5.9 task/s, elapsed: 972s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5744/6019, 5.9 task/s, elapsed: 973s, ETA: 47s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5745/6019, 5.9 task/s, elapsed: 973s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5746/6019, 5.9 task/s, elapsed: 973s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5747/6019, 5.9 task/s, elapsed: 973s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5748/6019, 5.9 task/s, elapsed: 973s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5749/6019, 5.9 task/s, elapsed: 973s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5750/6019, 5.9 task/s, elapsed: 974s, ETA: 46s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5751/6019, 5.9 task/s, elapsed: 974s, ETA: 45s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5752/6019, 5.9 task/s, elapsed: 974s, ETA: 45s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.9 task/s, elapsed: 1006s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.9 task/s, elapsed: 1006s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.9 task/s, elapsed: 1007s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.9 task/s, elapsed: 1007s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.9 task/s, elapsed: 1007s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.9 task/s, elapsed: 1007s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.9 task/s, elapsed: 1007s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.9 task/s, elapsed: 1007s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.9 task/s, elapsed: 1008s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.9 task/s, elapsed: 1008s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.9 task/s, elapsed: 1008s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.9 task/s, elapsed: 1008s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.9 task/s, elapsed: 1008s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.9 task/s, elapsed: 1008s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.9 task/s, elapsed: 1009s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.9 task/s, elapsed: 1009s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.9 task/s, elapsed: 1009s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.9 task/s, elapsed: 1009s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.9 task/s, elapsed: 1009s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.9 task/s, elapsed: 1009s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.9 task/s, elapsed: 1010s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.9 task/s, elapsed: 1010s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.9 task/s, elapsed: 1010s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.9 task/s, elapsed: 1010s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.9 task/s, elapsed: 1010s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.9 task/s, elapsed: 1011s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.9 task/s, elapsed: 1011s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.9 task/s, elapsed: 1011s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.9 task/s, elapsed: 1011s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.9 task/s, elapsed: 1011s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.9 task/s, elapsed: 1011s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.9 task/s, elapsed: 1012s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.9 task/s, elapsed: 1012s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.9 task/s, elapsed: 1012s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.9 task/s, elapsed: 1012s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.9 task/s, elapsed: 1012s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.9 task/s, elapsed: 1012s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.9 task/s, elapsed: 1013s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.9 task/s, elapsed: 1013s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.9 task/s, elapsed: 1013s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.9 task/s, elapsed: 1013s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.9 task/s, elapsed: 1013s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.9 task/s, elapsed: 1014s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.9 task/s, elapsed: 1014s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.9 task/s, elapsed: 1014s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.9 task/s, elapsed: 1014s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.9 task/s, elapsed: 1014s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.9 task/s, elapsed: 1014s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.9 task/s, elapsed: 1015s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.9 task/s, elapsed: 1015s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.9 task/s, elapsed: 1015s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.9 task/s, elapsed: 1015s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.9 task/s, elapsed: 1015s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.9 task/s, elapsed: 1015s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.9 task/s, elapsed: 1016s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.9 task/s, elapsed: 1016s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.9 task/s, elapsed: 1016s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.9 task/s, elapsed: 1016s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.9 task/s, elapsed: 1016s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.9 task/s, elapsed: 1017s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.9 task/s, elapsed: 1017s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.9 task/s, elapsed: 1017s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.9 task/s, elapsed: 1017s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.9 task/s, elapsed: 1017s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.9 task/s, elapsed: 1017s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.9 task/s, elapsed: 1018s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.9 task/s, elapsed: 1021s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.9 task/s, elapsed: 1021s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.9 task/s, elapsed: 1021s, ETA: 0s +Results writes to /tmp/tmphum8d0si/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 5.8 task/s, elapsed: 36s, ETA: 1008s [> ] 209/6019, 5.8 task/s, elapsed: 36s, ETA: 1007s [> ] 210/6019, 5.8 task/s, elapsed: 36s, ETA: 1007s [> ] 211/6019, 5.8 task/s, elapsed: 37s, ETA: 1007s [> ] 212/6019, 5.8 task/s, elapsed: 37s, ETA: 1006s [> ] 213/6019, 5.8 task/s, elapsed: 37s, ETA: 1006s [> ] 214/6019, 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[>>>>>>>>> ] 2016/6019, 5.9 task/s, elapsed: 339s, ETA: 674s [>>>>>>>>> ] 2017/6019, 5.9 task/s, elapsed: 340s, ETA: 674s [>>>>>>>>> ] 2018/6019, 5.9 task/s, elapsed: 340s, ETA: 674s [>>>>>>>>> ] 2019/6019, 5.9 task/s, elapsed: 340s, ETA: 673s [>>>>>>>>> ] 2020/6019, 5.9 task/s, elapsed: 340s, ETA: 673s [>>>>>>>>> ] 2021/6019, 5.9 task/s, elapsed: 340s, ETA: 673s [>>>>>>>>> ] 2022/6019, 5.9 task/s, elapsed: 340s, ETA: 673s [>>>>>>>>> ] 2023/6019, 5.9 task/s, elapsed: 341s, ETA: 673s [>>>>>>>>> ] 2024/6019, 5.9 task/s, elapsed: 341s, ETA: 673s [>>>>>>>>> ] 2025/6019, 5.9 task/s, elapsed: 341s, ETA: 673s [>>>>>>>>> ] 2026/6019, 5.9 task/s, elapsed: 341s, ETA: 672s [>>>>>>>>> ] 2027/6019, 5.9 task/s, elapsed: 341s, ETA: 672s [>>>>>>>>> ] 2028/6019, 5.9 task/s, elapsed: 341s, ETA: 672s [>>>>>>>>> ] 2029/6019, 5.9 task/s, elapsed: 342s, ETA: 672s [>>>>>>>>> ] 2030/6019, 5.9 task/s, elapsed: 342s, ETA: 672s [>>>>>>>>> ] 2031/6019, 5.9 task/s, elapsed: 342s, ETA: 672s [>>>>>>>>> ] 2032/6019, 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] 3820/6019, 5.9 task/s, elapsed: 645s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3821/6019, 5.9 task/s, elapsed: 645s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3822/6019, 5.9 task/s, elapsed: 645s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3823/6019, 5.9 task/s, elapsed: 645s, ETA: 371s [>>>>>>>>>>>>>>>>> ] 3824/6019, 5.9 task/s, elapsed: 645s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3825/6019, 5.9 task/s, elapsed: 645s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3826/6019, 5.9 task/s, elapsed: 646s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3827/6019, 5.9 task/s, elapsed: 646s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3828/6019, 5.9 task/s, elapsed: 646s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3829/6019, 5.9 task/s, elapsed: 646s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3830/6019, 5.9 task/s, elapsed: 646s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3831/6019, 5.9 task/s, elapsed: 646s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3832/6019, 5.9 task/s, elapsed: 647s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3833/6019, 5.9 task/s, elapsed: 647s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3834/6019, 5.9 task/s, elapsed: 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] 3849/6019, 5.9 task/s, elapsed: 649s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3850/6019, 5.9 task/s, elapsed: 650s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3851/6019, 5.9 task/s, elapsed: 650s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.9 task/s, elapsed: 650s, ETA: 366s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.9 task/s, elapsed: 650s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.9 task/s, elapsed: 650s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.9 task/s, elapsed: 650s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.9 task/s, elapsed: 651s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.9 task/s, elapsed: 651s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3858/6019, 5.9 task/s, elapsed: 651s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3859/6019, 5.9 task/s, elapsed: 651s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3860/6019, 5.9 task/s, elapsed: 651s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3861/6019, 5.9 task/s, elapsed: 652s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3862/6019, 5.9 task/s, elapsed: 652s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3863/6019, 5.9 task/s, elapsed: 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] 3878/6019, 5.9 task/s, elapsed: 654s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3879/6019, 5.9 task/s, elapsed: 655s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3880/6019, 5.9 task/s, elapsed: 655s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.9 task/s, elapsed: 655s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.9 task/s, elapsed: 655s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3883/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3884/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3885/6019, 5.9 task/s, elapsed: 656s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3886/6019, 5.9 task/s, elapsed: 656s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3887/6019, 5.9 task/s, elapsed: 656s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3888/6019, 5.9 task/s, elapsed: 656s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3889/6019, 5.9 task/s, elapsed: 656s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3890/6019, 5.9 task/s, elapsed: 656s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3891/6019, 5.9 task/s, elapsed: 657s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3892/6019, 5.9 task/s, elapsed: 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] 5447/6019, 5.9 task/s, elapsed: 921s, ETA: 97s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5448/6019, 5.9 task/s, elapsed: 921s, ETA: 97s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5449/6019, 5.9 task/s, elapsed: 921s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5450/6019, 5.9 task/s, elapsed: 921s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5451/6019, 5.9 task/s, elapsed: 921s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5452/6019, 5.9 task/s, elapsed: 922s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5453/6019, 5.9 task/s, elapsed: 922s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5454/6019, 5.9 task/s, elapsed: 922s, ETA: 96s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5455/6019, 5.9 task/s, elapsed: 922s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5456/6019, 5.9 task/s, elapsed: 922s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5457/6019, 5.9 task/s, elapsed: 923s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5458/6019, 5.9 task/s, elapsed: 923s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5459/6019, 5.9 task/s, elapsed: 923s, ETA: 95s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5460/6019, 5.9 task/s, 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] 5567/6019, 5.9 task/s, elapsed: 942s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5568/6019, 5.9 task/s, elapsed: 942s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5569/6019, 5.9 task/s, elapsed: 942s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5570/6019, 5.9 task/s, elapsed: 943s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5571/6019, 5.9 task/s, elapsed: 943s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5572/6019, 5.9 task/s, elapsed: 943s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5573/6019, 5.9 task/s, elapsed: 943s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5574/6019, 5.9 task/s, elapsed: 943s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5575/6019, 5.9 task/s, elapsed: 943s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5576/6019, 5.9 task/s, elapsed: 944s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5577/6019, 5.9 task/s, elapsed: 944s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5578/6019, 5.9 task/s, elapsed: 944s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5579/6019, 5.9 task/s, elapsed: 944s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5580/6019, 5.9 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.9 task/s, elapsed: 1015s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.9 task/s, elapsed: 1016s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.9 task/s, elapsed: 1016s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.9 task/s, elapsed: 1016s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.9 task/s, elapsed: 1016s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.9 task/s, elapsed: 1016s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.9 task/s, elapsed: 1017s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.9 task/s, elapsed: 1017s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.9 task/s, elapsed: 1017s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.9 task/s, elapsed: 1017s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.9 task/s, elapsed: 1017s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.9 task/s, elapsed: 1017s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.9 task/s, elapsed: 1018s, ETA: 8s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.9 task/s, elapsed: 1022s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.9 task/s, elapsed: 1023s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.9 task/s, elapsed: 1023s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.9 task/s, elapsed: 1023s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.9 task/s, elapsed: 1023s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.9 task/s, elapsed: 1023s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.9 task/s, elapsed: 1023s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.9 task/s, elapsed: 1024s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.9 task/s, elapsed: 1024s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.9 task/s, elapsed: 1024s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.9 task/s, elapsed: 1024s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.9 task/s, elapsed: 1024s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.9 task/s, elapsed: 1024s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.9 task/s, elapsed: 1025s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.9 task/s, elapsed: 1025s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.9 task/s, elapsed: 1025s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.9 task/s, elapsed: 1025s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.9 task/s, elapsed: 1025s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.9 task/s, elapsed: 1026s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.9 task/s, elapsed: 1026s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.9 task/s, elapsed: 1026s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.9 task/s, elapsed: 1026s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.9 task/s, elapsed: 1026s, ETA: 0s +Results writes to /tmp/tmp_w8mxet6/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.1 task/s, elapsed: 34s, ETA: 953s [> ] 209/6019, 6.1 task/s, elapsed: 34s, ETA: 952s 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] 940/6019, 5.6 task/s, elapsed: 168s, ETA: 909s [>>>> ] 941/6019, 5.6 task/s, elapsed: 168s, ETA: 909s [>>>> ] 942/6019, 5.6 task/s, elapsed: 169s, ETA: 909s [>>>> ] 943/6019, 5.6 task/s, elapsed: 169s, ETA: 909s [>>>> ] 944/6019, 5.6 task/s, elapsed: 169s, ETA: 908s [>>>> ] 945/6019, 5.6 task/s, elapsed: 169s, ETA: 908s [>>>> ] 946/6019, 5.6 task/s, elapsed: 169s, ETA: 908s [>>>> ] 947/6019, 5.6 task/s, elapsed: 170s, ETA: 908s [>>>> ] 948/6019, 5.6 task/s, elapsed: 170s, ETA: 908s [>>>> ] 949/6019, 5.6 task/s, elapsed: 170s, ETA: 907s [>>>> ] 950/6019, 5.6 task/s, elapsed: 170s, ETA: 907s [>>>> ] 951/6019, 5.6 task/s, elapsed: 170s, ETA: 907s [>>>> ] 952/6019, 5.6 task/s, elapsed: 170s, ETA: 907s [>>>> ] 953/6019, 5.6 task/s, elapsed: 171s, ETA: 907s [>>>> ] 954/6019, 5.6 task/s, elapsed: 171s, ETA: 906s [>>>> ] 955/6019, 5.6 task/s, elapsed: 171s, ETA: 906s [>>>> ] 956/6019, 5.6 task/s, elapsed: 171s, ETA: 906s [>>>> ] 957/6019, 5.6 task/s, elapsed: 171s, ETA: 906s [>>>> ] 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] 4027/6019, 5.9 task/s, elapsed: 688s, ETA: 340s [>>>>>>>>>>>>>>>>>> ] 4028/6019, 5.9 task/s, elapsed: 688s, ETA: 340s [>>>>>>>>>>>>>>>>>> ] 4029/6019, 5.9 task/s, elapsed: 688s, ETA: 340s [>>>>>>>>>>>>>>>>>> ] 4030/6019, 5.9 task/s, elapsed: 688s, ETA: 340s [>>>>>>>>>>>>>>>>>> ] 4031/6019, 5.9 task/s, elapsed: 688s, ETA: 340s [>>>>>>>>>>>>>>>>>> ] 4032/6019, 5.9 task/s, elapsed: 689s, ETA: 339s [>>>>>>>>>>>>>>>>>> ] 4033/6019, 5.9 task/s, elapsed: 689s, ETA: 339s [>>>>>>>>>>>>>>>>>> ] 4034/6019, 5.9 task/s, elapsed: 689s, ETA: 339s [>>>>>>>>>>>>>>>>>> ] 4035/6019, 5.9 task/s, elapsed: 689s, ETA: 339s [>>>>>>>>>>>>>>>>>> ] 4036/6019, 5.9 task/s, elapsed: 689s, ETA: 339s [>>>>>>>>>>>>>>>>>> ] 4037/6019, 5.9 task/s, elapsed: 689s, ETA: 338s [>>>>>>>>>>>>>>>>>> ] 4038/6019, 5.9 task/s, elapsed: 690s, ETA: 338s [>>>>>>>>>>>>>>>>>> ] 4039/6019, 5.9 task/s, elapsed: 690s, ETA: 338s [>>>>>>>>>>>>>>>>>> ] 4040/6019, 5.9 task/s, elapsed: 690s, ETA: 338s [>>>>>>>>>>>>>>>>>> ] 4041/6019, 5.9 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] 5320/6019, 5.9 task/s, elapsed: 907s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5321/6019, 5.9 task/s, elapsed: 907s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5322/6019, 5.9 task/s, elapsed: 907s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5323/6019, 5.9 task/s, elapsed: 907s, ETA: 119s [>>>>>>>>>>>>>>>>>>>>>>> ] 5324/6019, 5.9 task/s, elapsed: 907s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5325/6019, 5.9 task/s, elapsed: 907s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5326/6019, 5.9 task/s, elapsed: 908s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5327/6019, 5.9 task/s, elapsed: 908s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5328/6019, 5.9 task/s, elapsed: 908s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5329/6019, 5.9 task/s, elapsed: 908s, ETA: 118s [>>>>>>>>>>>>>>>>>>>>>>> ] 5330/6019, 5.9 task/s, elapsed: 908s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5331/6019, 5.9 task/s, elapsed: 908s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5332/6019, 5.9 task/s, elapsed: 909s, ETA: 117s [>>>>>>>>>>>>>>>>>>>>>>> ] 5333/6019, 5.9 task/s, 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[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5819/6019, 5.9 task/s, elapsed: 994s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5820/6019, 5.9 task/s, elapsed: 994s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5821/6019, 5.9 task/s, elapsed: 994s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5822/6019, 5.9 task/s, elapsed: 995s, ETA: 34s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5823/6019, 5.9 task/s, elapsed: 995s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5824/6019, 5.9 task/s, elapsed: 995s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5825/6019, 5.9 task/s, elapsed: 995s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5826/6019, 5.9 task/s, elapsed: 995s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5827/6019, 5.9 task/s, elapsed: 995s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5828/6019, 5.9 task/s, elapsed: 996s, ETA: 33s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5829/6019, 5.9 task/s, elapsed: 996s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5830/6019, 5.9 task/s, elapsed: 996s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>>> ] 5831/6019, 5.9 task/s, elapsed: 996s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5832/6019, 5.8 task/s, elapsed: 1000s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5833/6019, 5.8 task/s, elapsed: 1001s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5834/6019, 5.8 task/s, elapsed: 1001s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5835/6019, 5.8 task/s, elapsed: 1001s, ETA: 32s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5836/6019, 5.8 task/s, elapsed: 1001s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5837/6019, 5.8 task/s, elapsed: 1001s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5838/6019, 5.8 task/s, elapsed: 1001s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5839/6019, 5.8 task/s, elapsed: 1002s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5840/6019, 5.8 task/s, elapsed: 1002s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5841/6019, 5.8 task/s, elapsed: 1002s, ETA: 31s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5842/6019, 5.8 task/s, elapsed: 1002s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5843/6019, 5.8 task/s, elapsed: 1002s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5844/6019, 5.8 task/s, elapsed: 1003s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5845/6019, 5.8 task/s, elapsed: 1003s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5846/6019, 5.8 task/s, elapsed: 1003s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5847/6019, 5.8 task/s, elapsed: 1003s, ETA: 30s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5848/6019, 5.8 task/s, elapsed: 1003s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5849/6019, 5.8 task/s, elapsed: 1003s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5850/6019, 5.8 task/s, elapsed: 1004s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5851/6019, 5.8 task/s, elapsed: 1004s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5852/6019, 5.8 task/s, elapsed: 1004s, ETA: 29s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5853/6019, 5.8 task/s, elapsed: 1004s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5854/6019, 5.8 task/s, elapsed: 1004s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5855/6019, 5.8 task/s, elapsed: 1004s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5856/6019, 5.8 task/s, elapsed: 1005s, ETA: 28s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5857/6019, 5.8 task/s, elapsed: 1005s, ETA: 28s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5897/6019, 5.8 task/s, elapsed: 1012s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5898/6019, 5.8 task/s, elapsed: 1012s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5899/6019, 5.8 task/s, elapsed: 1012s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5900/6019, 5.8 task/s, elapsed: 1012s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5901/6019, 5.8 task/s, elapsed: 1012s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5902/6019, 5.8 task/s, elapsed: 1013s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5903/6019, 5.8 task/s, elapsed: 1013s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5904/6019, 5.8 task/s, elapsed: 1013s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5905/6019, 5.8 task/s, elapsed: 1013s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5906/6019, 5.8 task/s, elapsed: 1013s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5907/6019, 5.8 task/s, elapsed: 1013s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5908/6019, 5.8 task/s, elapsed: 1014s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5909/6019, 5.8 task/s, elapsed: 1014s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.8 task/s, elapsed: 1014s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.8 task/s, elapsed: 1014s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.8 task/s, elapsed: 1014s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.8 task/s, elapsed: 1015s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.8 task/s, elapsed: 1015s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.8 task/s, elapsed: 1015s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.8 task/s, elapsed: 1015s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.8 task/s, elapsed: 1015s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.8 task/s, elapsed: 1015s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.8 task/s, elapsed: 1016s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.8 task/s, elapsed: 1016s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.8 task/s, elapsed: 1016s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.8 task/s, elapsed: 1016s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.8 task/s, elapsed: 1016s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.8 task/s, elapsed: 1017s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.8 task/s, elapsed: 1017s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.8 task/s, elapsed: 1017s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.8 task/s, elapsed: 1017s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.8 task/s, elapsed: 1017s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.8 task/s, elapsed: 1018s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.8 task/s, elapsed: 1018s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.8 task/s, elapsed: 1018s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.8 task/s, elapsed: 1018s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.8 task/s, elapsed: 1018s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.8 task/s, elapsed: 1018s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.8 task/s, elapsed: 1019s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.8 task/s, elapsed: 1019s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.8 task/s, elapsed: 1019s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.8 task/s, elapsed: 1019s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.8 task/s, elapsed: 1019s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.8 task/s, elapsed: 1019s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.8 task/s, elapsed: 1020s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.8 task/s, elapsed: 1020s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.8 task/s, elapsed: 1020s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.8 task/s, elapsed: 1020s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.8 task/s, elapsed: 1020s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.8 task/s, elapsed: 1020s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.8 task/s, elapsed: 1021s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.8 task/s, elapsed: 1021s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.8 task/s, elapsed: 1021s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.8 task/s, elapsed: 1021s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.8 task/s, elapsed: 1021s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.8 task/s, elapsed: 1022s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.8 task/s, elapsed: 1022s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.8 task/s, elapsed: 1022s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.8 task/s, elapsed: 1022s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.8 task/s, elapsed: 1022s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.8 task/s, elapsed: 1022s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.8 task/s, elapsed: 1023s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.8 task/s, elapsed: 1023s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.8 task/s, elapsed: 1023s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.8 task/s, elapsed: 1023s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.8 task/s, elapsed: 1023s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.8 task/s, elapsed: 1023s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.8 task/s, elapsed: 1024s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.8 task/s, elapsed: 1024s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.8 task/s, elapsed: 1024s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.8 task/s, elapsed: 1024s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.8 task/s, elapsed: 1024s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.8 task/s, elapsed: 1025s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.8 task/s, elapsed: 1025s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.8 task/s, elapsed: 1025s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.8 task/s, elapsed: 1025s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.8 task/s, elapsed: 1025s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.8 task/s, elapsed: 1025s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.8 task/s, elapsed: 1026s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.8 task/s, elapsed: 1026s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.8 task/s, elapsed: 1026s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.8 task/s, elapsed: 1026s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.8 task/s, elapsed: 1026s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.8 task/s, elapsed: 1026s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.8 task/s, elapsed: 1027s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.8 task/s, elapsed: 1027s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.8 task/s, elapsed: 1027s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.8 task/s, elapsed: 1027s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.8 task/s, elapsed: 1027s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.8 task/s, elapsed: 1027s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.8 task/s, elapsed: 1028s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.8 task/s, elapsed: 1028s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.8 task/s, elapsed: 1028s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.8 task/s, elapsed: 1028s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.8 task/s, elapsed: 1028s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.8 task/s, elapsed: 1029s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.8 task/s, elapsed: 1029s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.8 task/s, elapsed: 1029s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.8 task/s, elapsed: 1029s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.8 task/s, elapsed: 1029s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.8 task/s, elapsed: 1029s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.8 task/s, elapsed: 1030s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.8 task/s, elapsed: 1030s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.8 task/s, elapsed: 1030s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.8 task/s, elapsed: 1030s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.8 task/s, elapsed: 1030s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.8 task/s, elapsed: 1030s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.8 task/s, elapsed: 1031s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.8 task/s, elapsed: 1031s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.8 task/s, elapsed: 1031s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.8 task/s, elapsed: 1031s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.8 task/s, elapsed: 1031s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.8 task/s, elapsed: 1032s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.8 task/s, elapsed: 1032s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.8 task/s, elapsed: 1032s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.8 task/s, elapsed: 1032s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.8 task/s, elapsed: 1032s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.8 task/s, elapsed: 1032s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.8 task/s, elapsed: 1033s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.8 task/s, elapsed: 1033s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.8 task/s, elapsed: 1033s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.8 task/s, elapsed: 1033s, ETA: 0s +Results writes to /tmp/tmp32jmwhoq/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 6.1 task/s, elapsed: 34s, ETA: 952s [> ] 209/6019, 6.1 task/s, elapsed: 34s, ETA: 952s [> ] 210/6019, 6.1 task/s, elapsed: 34s, ETA: 952s [> ] 211/6019, 6.1 task/s, elapsed: 35s, ETA: 952s [> ] 212/6019, 6.1 task/s, elapsed: 35s, ETA: 952s [> ] 213/6019, 6.1 task/s, elapsed: 35s, ETA: 952s [> ] 214/6019, 6.1 task/s, elapsed: 35s, ETA: 951s [> ] 215/6019, 6.1 task/s, elapsed: 35s, ETA: 951s [> ] 216/6019, 6.1 task/s, elapsed: 35s, ETA: 951s [> ] 217/6019, 6.1 task/s, elapsed: 36s, ETA: 951s [> ] 218/6019, 6.1 task/s, elapsed: 36s, ETA: 951s [> ] 219/6019, 6.1 task/s, elapsed: 36s, ETA: 951s [> ] 220/6019, 6.1 task/s, elapsed: 36s, ETA: 951s [> ] 221/6019, 6.1 task/s, elapsed: 36s, ETA: 951s [> ] 222/6019, 6.1 task/s, elapsed: 36s, ETA: 951s [> ] 223/6019, 6.1 task/s, elapsed: 37s, ETA: 951s [> ] 224/6019, 6.1 task/s, elapsed: 37s, ETA: 950s [> ] 225/6019, 6.1 task/s, elapsed: 37s, ETA: 950s [> ] 226/6019, 6.1 task/s, elapsed: 37s, ETA: 950s [> ] 227/6019, 6.1 task/s, elapsed: 37s, ETA: 950s [> ] 228/6019, 6.1 task/s, elapsed: 37s, ETA: 950s [> ] 229/6019, 6.1 task/s, elapsed: 38s, ETA: 950s [> ] 230/6019, 6.1 task/s, elapsed: 38s, ETA: 950s [> ] 231/6019, 6.1 task/s, elapsed: 38s, ETA: 950s [> ] 232/6019, 6.1 task/s, elapsed: 38s, ETA: 950s [> ] 233/6019, 6.1 task/s, elapsed: 38s, ETA: 950s [> ] 234/6019, 6.1 task/s, elapsed: 38s, ETA: 950s [> ] 235/6019, 6.1 task/s, 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] 3822/6019, 5.9 task/s, elapsed: 644s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3823/6019, 5.9 task/s, elapsed: 644s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3824/6019, 5.9 task/s, elapsed: 645s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3825/6019, 5.9 task/s, elapsed: 645s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3826/6019, 5.9 task/s, elapsed: 645s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3827/6019, 5.9 task/s, elapsed: 645s, ETA: 370s [>>>>>>>>>>>>>>>>> ] 3828/6019, 5.9 task/s, elapsed: 645s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3829/6019, 5.9 task/s, elapsed: 645s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3830/6019, 5.9 task/s, elapsed: 646s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3831/6019, 5.9 task/s, elapsed: 646s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3832/6019, 5.9 task/s, elapsed: 646s, ETA: 369s [>>>>>>>>>>>>>>>>> ] 3833/6019, 5.9 task/s, elapsed: 646s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3834/6019, 5.9 task/s, elapsed: 646s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3835/6019, 5.9 task/s, elapsed: 646s, ETA: 368s [>>>>>>>>>>>>>>>>> ] 3836/6019, 5.9 task/s, elapsed: 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] 3851/6019, 5.9 task/s, elapsed: 649s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3852/6019, 5.9 task/s, elapsed: 649s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3853/6019, 5.9 task/s, elapsed: 650s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3854/6019, 5.9 task/s, elapsed: 650s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3855/6019, 5.9 task/s, elapsed: 650s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3856/6019, 5.9 task/s, elapsed: 650s, ETA: 365s [>>>>>>>>>>>>>>>>> ] 3857/6019, 5.9 task/s, elapsed: 650s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3858/6019, 5.9 task/s, elapsed: 650s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3859/6019, 5.9 task/s, elapsed: 651s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3860/6019, 5.9 task/s, elapsed: 651s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3861/6019, 5.9 task/s, elapsed: 651s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3862/6019, 5.9 task/s, elapsed: 651s, ETA: 364s [>>>>>>>>>>>>>>>>> ] 3863/6019, 5.9 task/s, elapsed: 651s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3864/6019, 5.9 task/s, elapsed: 651s, ETA: 363s [>>>>>>>>>>>>>>>>> ] 3865/6019, 5.9 task/s, elapsed: 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] 3880/6019, 5.9 task/s, elapsed: 654s, ETA: 361s [>>>>>>>>>>>>>>>>> ] 3881/6019, 5.9 task/s, elapsed: 654s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3882/6019, 5.9 task/s, elapsed: 654s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3883/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3884/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3885/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3886/6019, 5.9 task/s, elapsed: 655s, ETA: 360s [>>>>>>>>>>>>>>>>> ] 3887/6019, 5.9 task/s, elapsed: 655s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3888/6019, 5.9 task/s, elapsed: 655s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3889/6019, 5.9 task/s, elapsed: 656s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3890/6019, 5.9 task/s, elapsed: 656s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3891/6019, 5.9 task/s, elapsed: 656s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3892/6019, 5.9 task/s, elapsed: 656s, ETA: 359s [>>>>>>>>>>>>>>>>> ] 3893/6019, 5.9 task/s, elapsed: 656s, ETA: 358s [>>>>>>>>>>>>>>>>> ] 3894/6019, 5.9 task/s, elapsed: 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] 3909/6019, 5.9 task/s, elapsed: 659s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3910/6019, 5.9 task/s, elapsed: 659s, ETA: 356s [>>>>>>>>>>>>>>>>> ] 3911/6019, 5.9 task/s, elapsed: 659s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3912/6019, 5.9 task/s, elapsed: 660s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3913/6019, 5.9 task/s, elapsed: 660s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3914/6019, 5.9 task/s, elapsed: 660s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3915/6019, 5.9 task/s, elapsed: 660s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3916/6019, 5.9 task/s, elapsed: 660s, ETA: 355s [>>>>>>>>>>>>>>>>> ] 3917/6019, 5.9 task/s, elapsed: 660s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3918/6019, 5.9 task/s, elapsed: 661s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3919/6019, 5.9 task/s, elapsed: 661s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3920/6019, 5.9 task/s, elapsed: 661s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3921/6019, 5.9 task/s, elapsed: 661s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3922/6019, 5.9 task/s, elapsed: 661s, ETA: 354s [>>>>>>>>>>>>>>>>> ] 3923/6019, 5.9 task/s, elapsed: 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] 3938/6019, 5.9 task/s, elapsed: 664s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3939/6019, 5.9 task/s, elapsed: 664s, ETA: 351s [>>>>>>>>>>>>>>>>> ] 3940/6019, 5.9 task/s, elapsed: 664s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3941/6019, 5.9 task/s, elapsed: 664s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3942/6019, 5.9 task/s, elapsed: 664s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3943/6019, 5.9 task/s, elapsed: 665s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3944/6019, 5.9 task/s, elapsed: 665s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3945/6019, 5.9 task/s, elapsed: 665s, ETA: 350s [>>>>>>>>>>>>>>>>> ] 3946/6019, 5.9 task/s, elapsed: 665s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3947/6019, 5.9 task/s, elapsed: 665s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3948/6019, 5.9 task/s, elapsed: 665s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3949/6019, 5.9 task/s, elapsed: 666s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3950/6019, 5.9 task/s, elapsed: 666s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3951/6019, 5.9 task/s, elapsed: 666s, ETA: 349s [>>>>>>>>>>>>>>>>> ] 3952/6019, 5.9 task/s, elapsed: 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[>>>>>>>>>>>>>>>>>>>>> ] 4793/6019, 5.9 task/s, elapsed: 807s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4794/6019, 5.9 task/s, elapsed: 807s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4795/6019, 5.9 task/s, elapsed: 807s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4796/6019, 5.9 task/s, elapsed: 807s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4797/6019, 5.9 task/s, elapsed: 808s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4798/6019, 5.9 task/s, elapsed: 808s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4799/6019, 5.9 task/s, elapsed: 808s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4800/6019, 5.9 task/s, elapsed: 808s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4801/6019, 5.9 task/s, elapsed: 808s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4802/6019, 5.9 task/s, elapsed: 808s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4803/6019, 5.9 task/s, elapsed: 809s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4804/6019, 5.9 task/s, elapsed: 813s, ETA: 206s [>>>>>>>>>>>>>>>>>>>>> ] 4805/6019, 5.9 task/s, elapsed: 813s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4806/6019, 5.9 task/s, elapsed: 813s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4807/6019, 5.9 task/s, elapsed: 813s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4808/6019, 5.9 task/s, elapsed: 814s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4809/6019, 5.9 task/s, elapsed: 814s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4810/6019, 5.9 task/s, elapsed: 814s, ETA: 205s [>>>>>>>>>>>>>>>>>>>>> ] 4811/6019, 5.9 task/s, elapsed: 814s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4812/6019, 5.9 task/s, elapsed: 814s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4813/6019, 5.9 task/s, elapsed: 815s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4814/6019, 5.9 task/s, elapsed: 815s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4815/6019, 5.9 task/s, elapsed: 815s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4816/6019, 5.9 task/s, elapsed: 815s, ETA: 204s [>>>>>>>>>>>>>>>>>>>>> ] 4817/6019, 5.9 task/s, elapsed: 815s, ETA: 203s [>>>>>>>>>>>>>>>>>>>>> ] 4818/6019, 5.9 task/s, elapsed: 815s, ETA: 203s [>>>>>>>>>>>>>>>>>>>>> ] 4819/6019, 5.9 task/s, elapsed: 816s, ETA: 203s [>>>>>>>>>>>>>>>>>>>>> ] 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[>>>>>>>>>>>>>>>>>>>>> ] 4834/6019, 5.9 task/s, elapsed: 818s, ETA: 201s [>>>>>>>>>>>>>>>>>>>>> ] 4835/6019, 5.9 task/s, elapsed: 818s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4836/6019, 5.9 task/s, elapsed: 818s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4837/6019, 5.9 task/s, elapsed: 819s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4838/6019, 5.9 task/s, elapsed: 819s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4839/6019, 5.9 task/s, elapsed: 819s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4840/6019, 5.9 task/s, elapsed: 819s, ETA: 200s [>>>>>>>>>>>>>>>>>>>>> ] 4841/6019, 5.9 task/s, elapsed: 819s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4842/6019, 5.9 task/s, elapsed: 819s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4843/6019, 5.9 task/s, elapsed: 820s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4844/6019, 5.9 task/s, elapsed: 820s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4845/6019, 5.9 task/s, elapsed: 820s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4846/6019, 5.9 task/s, elapsed: 820s, ETA: 199s [>>>>>>>>>>>>>>>>>>>>> ] 4847/6019, 5.9 task/s, elapsed: 820s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4848/6019, 5.9 task/s, elapsed: 820s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4849/6019, 5.9 task/s, elapsed: 821s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4850/6019, 5.9 task/s, elapsed: 821s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4851/6019, 5.9 task/s, elapsed: 821s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4852/6019, 5.9 task/s, elapsed: 821s, ETA: 198s [>>>>>>>>>>>>>>>>>>>>> ] 4853/6019, 5.9 task/s, elapsed: 821s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4854/6019, 5.9 task/s, elapsed: 821s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4855/6019, 5.9 task/s, elapsed: 822s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4856/6019, 5.9 task/s, elapsed: 822s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4857/6019, 5.9 task/s, elapsed: 822s, ETA: 197s [>>>>>>>>>>>>>>>>>>>>> ] 4858/6019, 5.9 task/s, elapsed: 822s, ETA: 196s [>>>>>>>>>>>>>>>>>>>>> ] 4859/6019, 5.9 task/s, elapsed: 822s, ETA: 196s [>>>>>>>>>>>>>>>>>>>>> ] 4860/6019, 5.9 task/s, elapsed: 822s, ETA: 196s [>>>>>>>>>>>>>>>>>>>>> ] 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] 5238/6019, 5.9 task/s, elapsed: 885s, ETA: 132s [>>>>>>>>>>>>>>>>>>>>>>> ] 5239/6019, 5.9 task/s, elapsed: 885s, ETA: 132s [>>>>>>>>>>>>>>>>>>>>>>> ] 5240/6019, 5.9 task/s, elapsed: 886s, ETA: 132s [>>>>>>>>>>>>>>>>>>>>>>> ] 5241/6019, 5.9 task/s, elapsed: 886s, ETA: 131s [>>>>>>>>>>>>>>>>>>>>>>> ] 5242/6019, 5.9 task/s, elapsed: 886s, ETA: 131s [>>>>>>>>>>>>>>>>>>>>>>> ] 5243/6019, 5.9 task/s, elapsed: 886s, ETA: 131s [>>>>>>>>>>>>>>>>>>>>>>> ] 5244/6019, 5.9 task/s, elapsed: 886s, ETA: 131s [>>>>>>>>>>>>>>>>>>>>>>> ] 5245/6019, 5.9 task/s, elapsed: 886s, ETA: 131s [>>>>>>>>>>>>>>>>>>>>>>> ] 5246/6019, 5.9 task/s, elapsed: 887s, ETA: 131s [>>>>>>>>>>>>>>>>>>>>>>> ] 5247/6019, 5.9 task/s, elapsed: 887s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5248/6019, 5.9 task/s, elapsed: 887s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5249/6019, 5.9 task/s, elapsed: 887s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5250/6019, 5.9 task/s, elapsed: 887s, ETA: 130s [>>>>>>>>>>>>>>>>>>>>>>> ] 5251/6019, 5.9 task/s, 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] 5278/6019, 5.9 task/s, elapsed: 892s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5279/6019, 5.9 task/s, elapsed: 892s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5280/6019, 5.9 task/s, elapsed: 892s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5281/6019, 5.9 task/s, elapsed: 892s, ETA: 125s [>>>>>>>>>>>>>>>>>>>>>>> ] 5282/6019, 5.9 task/s, elapsed: 892s, ETA: 124s [>>>>>>>>>>>>>>>>>>>>>>> ] 5283/6019, 5.9 task/s, elapsed: 892s, ETA: 124s [>>>>>>>>>>>>>>>>>>>>>>> ] 5284/6019, 5.9 task/s, elapsed: 892s, ETA: 124s [>>>>>>>>>>>>>>>>>>>>>>> ] 5285/6019, 5.9 task/s, elapsed: 893s, ETA: 124s [>>>>>>>>>>>>>>>>>>>>>>> ] 5286/6019, 5.9 task/s, elapsed: 893s, ETA: 124s [>>>>>>>>>>>>>>>>>>>>>>> ] 5287/6019, 5.9 task/s, elapsed: 893s, ETA: 124s [>>>>>>>>>>>>>>>>>>>>>>> ] 5288/6019, 5.9 task/s, elapsed: 893s, ETA: 123s [>>>>>>>>>>>>>>>>>>>>>>> ] 5289/6019, 5.9 task/s, elapsed: 893s, ETA: 123s [>>>>>>>>>>>>>>>>>>>>>>> ] 5290/6019, 5.9 task/s, elapsed: 893s, ETA: 123s [>>>>>>>>>>>>>>>>>>>>>>> ] 5291/6019, 5.9 task/s, 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] 5569/6019, 5.9 task/s, elapsed: 942s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5570/6019, 5.9 task/s, elapsed: 942s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5571/6019, 5.9 task/s, elapsed: 942s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5572/6019, 5.9 task/s, elapsed: 942s, ETA: 76s [>>>>>>>>>>>>>>>>>>>>>>>> ] 5573/6019, 5.9 task/s, elapsed: 942s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5574/6019, 5.9 task/s, elapsed: 943s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5575/6019, 5.9 task/s, elapsed: 943s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5576/6019, 5.9 task/s, elapsed: 943s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5577/6019, 5.9 task/s, elapsed: 943s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5578/6019, 5.9 task/s, elapsed: 943s, ETA: 75s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5579/6019, 5.9 task/s, elapsed: 943s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5580/6019, 5.9 task/s, elapsed: 944s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5581/6019, 5.9 task/s, elapsed: 944s, ETA: 74s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5582/6019, 5.9 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5726/6019, 5.9 task/s, elapsed: 969s, ETA: 50s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5727/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5728/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5729/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5730/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5731/6019, 5.9 task/s, elapsed: 970s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5732/6019, 5.9 task/s, elapsed: 971s, ETA: 49s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5733/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5734/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5735/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5736/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5737/6019, 5.9 task/s, elapsed: 971s, ETA: 48s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5738/6019, 5.9 task/s, elapsed: 972s, ETA: 48s 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.9 task/s, elapsed: 1017s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.9 task/s, elapsed: 1018s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.9 task/s, elapsed: 1019s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.9 task/s, elapsed: 1020s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.9 task/s, elapsed: 1021s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.9 task/s, elapsed: 1021s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.9 task/s, elapsed: 1021s, ETA: 0s +Results writes to /tmp/tmpoh6idkpk/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00 ] 208/6019, 5.4 task/s, elapsed: 38s, ETA: 1075s [> ] 209/6019, 5.4 task/s, elapsed: 39s, ETA: 1075s [> ] 210/6019, 5.4 task/s, elapsed: 39s, ETA: 1075s [> ] 211/6019, 5.4 task/s, elapsed: 39s, ETA: 1075s [> ] 212/6019, 5.4 task/s, elapsed: 39s, ETA: 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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 5910/6019, 5.3 task/s, elapsed: 1118s, ETA: 21s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5911/6019, 5.3 task/s, elapsed: 1119s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5912/6019, 5.3 task/s, elapsed: 1119s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5913/6019, 5.3 task/s, elapsed: 1119s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5914/6019, 5.3 task/s, elapsed: 1119s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5915/6019, 5.3 task/s, elapsed: 1119s, ETA: 20s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5916/6019, 5.3 task/s, elapsed: 1120s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5917/6019, 5.3 task/s, elapsed: 1120s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5918/6019, 5.3 task/s, elapsed: 1120s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5919/6019, 5.3 task/s, elapsed: 1120s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5920/6019, 5.3 task/s, elapsed: 1120s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5921/6019, 5.3 task/s, elapsed: 1121s, ETA: 19s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5922/6019, 5.3 task/s, elapsed: 1121s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5923/6019, 5.3 task/s, elapsed: 1121s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5924/6019, 5.3 task/s, elapsed: 1121s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5925/6019, 5.3 task/s, elapsed: 1121s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5926/6019, 5.3 task/s, elapsed: 1122s, ETA: 18s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5927/6019, 5.3 task/s, elapsed: 1122s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5928/6019, 5.3 task/s, elapsed: 1122s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5929/6019, 5.3 task/s, elapsed: 1122s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5930/6019, 5.3 task/s, elapsed: 1122s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5931/6019, 5.3 task/s, elapsed: 1123s, ETA: 17s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5932/6019, 5.3 task/s, elapsed: 1123s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5933/6019, 5.3 task/s, elapsed: 1123s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5934/6019, 5.3 task/s, elapsed: 1123s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5935/6019, 5.3 task/s, elapsed: 1123s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5936/6019, 5.3 task/s, elapsed: 1124s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5937/6019, 5.3 task/s, elapsed: 1124s, ETA: 16s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5938/6019, 5.3 task/s, elapsed: 1124s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5939/6019, 5.3 task/s, elapsed: 1124s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5940/6019, 5.3 task/s, elapsed: 1124s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5941/6019, 5.3 task/s, elapsed: 1125s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5942/6019, 5.3 task/s, elapsed: 1125s, ETA: 15s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5943/6019, 5.3 task/s, elapsed: 1125s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5944/6019, 5.3 task/s, elapsed: 1125s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5945/6019, 5.3 task/s, elapsed: 1125s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5946/6019, 5.3 task/s, elapsed: 1126s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5947/6019, 5.3 task/s, elapsed: 1126s, ETA: 14s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5948/6019, 5.3 task/s, elapsed: 1126s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5949/6019, 5.3 task/s, elapsed: 1126s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5950/6019, 5.3 task/s, elapsed: 1126s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5951/6019, 5.3 task/s, elapsed: 1127s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5952/6019, 5.3 task/s, elapsed: 1127s, ETA: 13s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5953/6019, 5.3 task/s, elapsed: 1127s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5954/6019, 5.3 task/s, elapsed: 1127s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5955/6019, 5.3 task/s, elapsed: 1127s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5956/6019, 5.3 task/s, elapsed: 1127s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5957/6019, 5.3 task/s, elapsed: 1128s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5958/6019, 5.3 task/s, elapsed: 1128s, ETA: 12s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5959/6019, 5.3 task/s, elapsed: 1128s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5960/6019, 5.3 task/s, elapsed: 1128s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5961/6019, 5.3 task/s, elapsed: 1128s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5962/6019, 5.3 task/s, elapsed: 1129s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5963/6019, 5.3 task/s, elapsed: 1129s, ETA: 11s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5964/6019, 5.3 task/s, elapsed: 1129s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5965/6019, 5.3 task/s, elapsed: 1129s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5966/6019, 5.3 task/s, elapsed: 1129s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5967/6019, 5.3 task/s, elapsed: 1130s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5968/6019, 5.3 task/s, elapsed: 1130s, ETA: 10s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5969/6019, 5.3 task/s, elapsed: 1130s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5970/6019, 5.3 task/s, elapsed: 1130s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5971/6019, 5.3 task/s, elapsed: 1130s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5972/6019, 5.3 task/s, elapsed: 1131s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5973/6019, 5.3 task/s, elapsed: 1131s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5974/6019, 5.3 task/s, elapsed: 1131s, ETA: 9s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5975/6019, 5.3 task/s, elapsed: 1131s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5976/6019, 5.3 task/s, elapsed: 1131s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5977/6019, 5.3 task/s, elapsed: 1132s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5978/6019, 5.3 task/s, elapsed: 1132s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5979/6019, 5.3 task/s, elapsed: 1132s, ETA: 8s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5980/6019, 5.3 task/s, elapsed: 1132s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5981/6019, 5.3 task/s, elapsed: 1132s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5982/6019, 5.3 task/s, elapsed: 1133s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5983/6019, 5.3 task/s, elapsed: 1133s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5984/6019, 5.3 task/s, elapsed: 1133s, ETA: 7s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5985/6019, 5.3 task/s, elapsed: 1133s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5986/6019, 5.3 task/s, elapsed: 1133s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5987/6019, 5.3 task/s, elapsed: 1134s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5988/6019, 5.3 task/s, elapsed: 1134s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5989/6019, 5.3 task/s, elapsed: 1134s, ETA: 6s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5990/6019, 5.3 task/s, elapsed: 1134s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5991/6019, 5.3 task/s, elapsed: 1134s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5992/6019, 5.3 task/s, elapsed: 1135s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5993/6019, 5.3 task/s, elapsed: 1135s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5994/6019, 5.3 task/s, elapsed: 1135s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5995/6019, 5.3 task/s, elapsed: 1135s, ETA: 5s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5996/6019, 5.3 task/s, elapsed: 1135s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5997/6019, 5.3 task/s, elapsed: 1136s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5998/6019, 5.3 task/s, elapsed: 1136s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 5999/6019, 5.3 task/s, elapsed: 1136s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6000/6019, 5.3 task/s, elapsed: 1136s, ETA: 4s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6001/6019, 5.3 task/s, elapsed: 1136s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6002/6019, 5.3 task/s, elapsed: 1137s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6003/6019, 5.3 task/s, elapsed: 1137s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6004/6019, 5.3 task/s, elapsed: 1137s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6005/6019, 5.3 task/s, elapsed: 1137s, ETA: 3s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6006/6019, 5.3 task/s, elapsed: 1137s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6007/6019, 5.3 task/s, elapsed: 1138s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6008/6019, 5.3 task/s, elapsed: 1138s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6009/6019, 5.3 task/s, elapsed: 1138s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6010/6019, 5.3 task/s, elapsed: 1138s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6011/6019, 5.3 task/s, elapsed: 1138s, ETA: 2s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6012/6019, 5.3 task/s, elapsed: 1139s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6013/6019, 5.3 task/s, elapsed: 1139s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6014/6019, 5.3 task/s, elapsed: 1139s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6015/6019, 5.3 task/s, elapsed: 1139s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 5.3 task/s, elapsed: 1139s, ETA: 1s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 5.3 task/s, elapsed: 1140s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 5.3 task/s, elapsed: 1140s, ETA: 0s [>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 5.3 task/s, elapsed: 1140s, ETA: 0s +Results writes to /tmp/tmp5rs9ud50/results/pred_instances_3d/results_nusc.json +Evaluating bboxes of pred_instances_3d + 0%| | 0/6019 [00:00