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Hello Im trying to fine-tune your nice model with LRS2 datasets
I tried to do this with single GPU but i faced this error
With your answer here #22, I tried again with 4 GPUs but it doesn't work without any logs.
I didn't modify any codes but only the path for the files. Could you check what is wrong with my options? This is my sbatch file to run the code.
` #!/bin/bash
#SBATCH --job-name=rundata #SBATCH --gres=gpu:4 #SBATCH --cpus-per-gpu=8 #SBATCH --mem-per-gpu=10G #SBATCH --time 1-0 #SBATCH --partition batch_ce_ugrad #SBATCH -o slurm/logs/slurm-%A.out
singularity exec --cleanenv -H $PWD:/home --nv tensorflow.sif /bin/bash CUDA_VISIBLE_DEVICES=0,1,2,3 python run_dataparallel.py --config config/vox-adv-256.yaml --device_ids 0,1,2,3 --name DaGAN_voxceleb2_depth --rgbd --batchsize 12 --kp_num 15 --generator DepthAwareGenerator tensorboard --logdir log/DaGAN/log
exit 0 `
Thanks in advance!
The text was updated successfully, but these errors were encountered:
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Hello
Im trying to fine-tune your nice model with LRS2 datasets
I tried to do this with single GPU but i faced this error
With your answer here #22,
I tried again with 4 GPUs but it doesn't work without any logs.
I didn't modify any codes but only the path for the files.
Could you check what is wrong with my options?
This is my sbatch file to run the code.
` #!/bin/bash
#SBATCH --job-name=rundata
#SBATCH --gres=gpu:4
#SBATCH --cpus-per-gpu=8
#SBATCH --mem-per-gpu=10G
#SBATCH --time 1-0
#SBATCH --partition batch_ce_ugrad
#SBATCH -o slurm/logs/slurm-%A.out
singularity exec --cleanenv -H $PWD:/home --nv tensorflow.sif /bin/bash
CUDA_VISIBLE_DEVICES=0,1,2,3 python run_dataparallel.py
--config config/vox-adv-256.yaml
--device_ids 0,1,2,3
--name DaGAN_voxceleb2_depth
--rgbd
--batchsize 12
--kp_num 15
--generator DepthAwareGenerator
tensorboard --logdir log/DaGAN/log
exit 0 `
Thanks in advance!
The text was updated successfully, but these errors were encountered: