We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Describe the bug Torch does not find Cuda on GPU instance and official SageMaker training container
To reproduce
sudo docker pull 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:1.10.0-gpu-py38-cu113-ubuntu20.04-sagemaker sudo docker run -it --entrypoint /bin/bash 709fa9395949 python -c "import torch; print(torch.cuda.is_available()) -> False"
Expected behavior python -c "import torch; print(torch.cuda.is_available()) -> True
python -c "import torch; print(torch.cuda.is_available()) -> True
System information This command was run on SageMaker Notebook instance ml.p3.2xlarge (docker pull from console) and EC2 instance p3.2xlarge
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Describe the bug
Torch does not find Cuda on GPU instance and official SageMaker training container
To reproduce
Expected behavior
python -c "import torch; print(torch.cuda.is_available()) -> True
System information
This command was run on SageMaker Notebook instance ml.p3.2xlarge (docker pull from console) and EC2 instance p3.2xlarge
The text was updated successfully, but these errors were encountered: