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_res_old609.out
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_res_old609.out
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==========================================
SLURM_JOB_ID = 609
SLURM_NODELIST = virya4
==========================================
ERROR: Unable to locate a modulefile for 'anaconda/3.2023.03'
Wed Mar 20 21:32:23 2024
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 545.23.08 Driver Version: 545.23.08 CUDA Version: 12.3 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA A100-SXM4-40GB Off | 00000000:81:00.0 Off | On |
| N/A 27C P0 43W / 400W | 74MiB / 40960MiB | N/A Default |
| | | Enabled |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| MIG devices: |
+------------------+--------------------------------+-----------+-----------------------+
| GPU GI CI MIG | Memory-Usage | Vol| Shared |
| ID ID Dev | BAR1-Usage | SM Unc| CE ENC DEC OFA JPG |
| | | ECC| |
|==================+================================+===========+=======================|
| 0 2 0 0 | 37MiB / 19968MiB | 42 0 | 3 0 2 0 0 |
| | 0MiB / 32767MiB | | |
+------------------+--------------------------------+-----------+-----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+
Some weights of EsmModel were not initialized from the model checkpoint at ./finetuned_models//ESM-2_old/IC-IT and are newly initialized: ['esm.pooler.dense.bias', 'esm.pooler.dense.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
/home/h_ghazik/toot_bert_cnn_c/lr_cnn_generate_rep_old.py:215: 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).
X_train = [torch.tensor(x, dtype=torch.float32) for x in X_train]
/home/h_ghazik/toot_bert_cnn_c/lr_cnn_generate_rep_old.py:230: 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).
X_test = [torch.tensor(x, dtype=torch.float32) for x in X_test]
Traceback (most recent call last):
File "/home/h_ghazik/toot_bert_cnn_c/lr_cnn_generate_rep_old.py", line 240, in <module>
accuracy, mcc, sensitivity, specificity = test_cnn(
File "/home/h_ghazik/toot_bert_cnn_c/lr_cnn_generate_rep_old.py", line 89, in test_cnn
for data, targets in test_loader:
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 630, in __next__
data = self._next_data()
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 674, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 54, in fetch
return self.collate_fn(data)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py", line 265, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py", line 142, in collate
return [collate(samples, collate_fn_map=collate_fn_map) for samples in transposed] # Backwards compatibility.
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py", line 142, in <listcomp>
return [collate(samples, collate_fn_map=collate_fn_map) for samples in transposed] # Backwards compatibility.
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py", line 119, in collate
return collate_fn_map[elem_type](batch, collate_fn_map=collate_fn_map)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py", line 162, in collate_tensor_fn
return torch.stack(batch, 0, out=out)
RuntimeError: stack expects each tensor to be equal size, but got [389, 1280] at entry 0 and [250, 1280] at entry 1