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I use two gpu to run code on vqav2 dataset using movie_mcan model, the gpu memory is not enough so the batch_size is set to 16, but every time I run the code will cause the server abnormal lag, I use sar -d 3 5 to check the disk read and write, I found that the read speed is very fast, how to improve this problem, when the lag I can't do any operation.
This is my training code
CUDA_VISIBLE_DEVICES=2,3 mmf_run config=projects/movie_mcan/configsqa2/defaults.yaml model=movie_mcan dataset=vqa2 run_type=train env.cache_dir=/data/students/zzj/ env.data_dir=/data/students/zzj/ training.batch_size=16
Here are the read and write speeds
The text was updated successfully, but these errors were encountered:
❓ Questions and Help
I use two gpu to run code on vqav2 dataset using movie_mcan model, the gpu memory is not enough so the batch_size is set to 16, but every time I run the code will cause the server abnormal lag, I use sar -d 3 5 to check the disk read and write, I found that the read speed is very fast, how to improve this problem, when the lag I can't do any operation.
This is my training code
CUDA_VISIBLE_DEVICES=2,3 mmf_run config=projects/movie_mcan/configsqa2/defaults.yaml model=movie_mcan dataset=vqa2 run_type=train env.cache_dir=/data/students/zzj/ env.data_dir=/data/students/zzj/ training.batch_size=16
Here are the read and write speeds
The text was updated successfully, but these errors were encountered: