Comments (1)
shreyaannshh
commented on June 9, 2024
Make sure you've got the latest version of CUDA and cuDNN installed along with the latest NVIDIA GPU drivers.
Install CUDA toolkit and make sure to match the CUDA version with the one supported by your PyTorch installation.
You can try Anaconda or Miniconda to manage your python environment as they help avoid conflicts with system packages.
Install PyTorch with GPU support using the appropriate version for your CUDA installation
If you're using multiple GPUs, consider installing NVIDIA NCCL (NVIDIA Collective Communication Library) for optimized GPU communication
Set the following environment variables in your training script to enable multi-GPU training
Execute your training script with the necessary commands to utilize multiple GPUs
Hope it Helps!!!
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