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[Docker Release] Test if pytorch was compiled with CUDA before pushing to repo (#128852)

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Related to: https://github.com/pytorch/pytorch/issues/125879
Would check if we are compiled with CUDA before publishing CUDA Docker nightly image

Test
```
#18 [conda-installs 5/5] RUN IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())');    echo "Is torch compiled with cuda: ${IS_CUDA}";     if test "${IS_CUDA}" != "True" -a ! -z "12.4.0"; then 	exit 1;     fi
#18 1.656 Is torch compiled with cuda: False
#18 ERROR: process "/bin/sh -c IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())');    echo \"Is torch compiled with cuda: ${IS_CUDA}\";     if test \"${IS_CUDA}\" != \"True\" -a ! -z \"${CUDA_VERSION}\"; then \texit 1;     fi" did not complete successfully: exit code: 1
------
 > [conda-installs 5/5] RUN IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())');    echo "Is torch compiled with cuda: ${IS_CUDA}";     if test "${IS_CUDA}" != "True" -a ! -z "12.4.0"; then 	exit 1;     fi:
1.656 Is torch compiled with cuda: False
------
Dockerfile:80
--------------------
  79 |     RUN /opt/conda/bin/pip install torchelastic
  80 | >>> RUN IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())');\
  81 | >>>     echo "Is torch compiled with cuda: ${IS_CUDA}"; \
  82 | >>>     if test "${IS_CUDA}" != "True" -a ! -z "${CUDA_VERSION}"; then \
  83 | >>> 	exit 1; \
  84 | >>>     fi
  85 |
--------------------
ERROR: failed to solve: process "/bin/sh -c IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())');    echo \"Is torch compiled with cuda: ${IS_CUDA}\";     if test \"${IS_CUDA}\" != \"True\" -a ! -z \"${CUDA_VERSION}\"; then \texit 1;     fi" did not complete successfully: exit code: 1
(base) [ec2-user@ip-172-30-2-248 pytorch]$ docker buildx build --progress=plain  --platform="linux/amd64"  --target official -t ghcr.io/pytorch/pytorch:2.5.0.dev20240617-cuda12.4-cudnn9-devel --build-arg BASE_IMAGE=nvidia/cuda:12.4.0-devel-ubuntu22.04 --build-arg PYTHON_VERSION=3.11 --build-arg CUDA_VERSION= --build-arg CUDA_CHANNEL=nvidia --build-arg PYTORCH_VERSION=2.5.0.dev20240617 --build-arg INSTALL_CHANNEL=pytorch --build-arg TRITON_VERSION= --build-arg CMAKE_VARS="" .
#0 building with "default" instance using docker driver
```

Please note looks like we are installing from pytorch rather then nighlty channel on PR hence cuda 12.4 is failing since its not in pytorch channel yet:
https://github.com/pytorch/pytorch/actions/runs/9555354734/job/26338476741?pr=128852

Pull Request resolved: https://github.com/pytorch/pytorch/pull/128852
Approved by: https://github.com/malfet
This commit is contained in:
atalman
2024-06-17 22:51:12 +00:00
committed by PyTorch MergeBot
parent 1835e3beab
commit 3b8c9b8ab1
1 changed files with 5 additions and 0 deletions
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@ -77,6 +77,11 @@ RUN case ${TARGETPLATFORM} in \
esac && \
/opt/conda/bin/conda clean -ya
RUN /opt/conda/bin/pip install torchelastic
RUN IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())'); \
echo "Is torch compiled with cuda: ${IS_CUDA}"; \
if test "${IS_CUDA}" != "True" -a ! -z "${CUDA_VERSION}"; then \
exit 1; \
fi
FROM ${BASE_IMAGE} as official
ARG PYTORCH_VERSION