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Smoke Test - disable pypi package validation for binaries that package cuda libs (#150194)
Smoke Test - disable pypi package validation for binaries that package cuda libs. These binaries do not install packages via pypi.
Should Resolve this from `linux-binary-manywheel / manywheel-py3_11-cuda12_6-full-test / test`:
```
Traceback (most recent call last):
File "/pytorch/.ci/pytorch/smoke_test/smoke_test.py", line 468, in <module>
main()
File "/pytorch/.ci/pytorch/smoke_test/smoke_test.py", line 462, in main
smoke_test_cuda(
File "/pytorch/.ci/pytorch/smoke_test/smoke_test.py", line 274, in smoke_test_cuda
compare_pypi_to_torch_versions(
File "/pytorch/.ci/pytorch/smoke_test/smoke_test.py", line 220, in compare_pypi_to_torch_versions
raise RuntimeError(f"Can't find {package} in PyPI for Torch: {torch_version}")
RuntimeError: Can't find cudnn in PyPI for Torch: 9.5.1
```
Link: https://github.com/pytorch/pytorch/actions/runs/14101221665/job/39505479587#step:15:982
Pull Request resolved: https://github.com/pytorch/pytorch/pull/150194
Approved by: https://github.com/ZainRizvi
This commit is contained in:
parent
d2ad9aa2f2
commit
295162ec3a
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@ -227,7 +227,10 @@ def compare_pypi_to_torch_versions(
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def smoke_test_cuda(
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package: str, runtime_error_check: str, torch_compile_check: str
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package: str,
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runtime_error_check: str,
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torch_compile_check: str,
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pypi_pkg_check: str,
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) -> None:
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if not torch.cuda.is_available() and is_cuda_system:
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raise RuntimeError(f"Expected CUDA {gpu_arch_ver}. However CUDA is not loaded.")
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@ -268,13 +271,14 @@ def smoke_test_cuda(
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print(f"cuDNN enabled? {torch.backends.cudnn.enabled}")
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torch_cudnn_version = cudnn_to_version_str(torch.backends.cudnn.version())
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print(f"Torch cuDNN version: {torch_cudnn_version}")
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torch_nccl_version = ".".join(str(v) for v in torch.cuda.nccl.version())
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print(f"Torch nccl; version: {torch_nccl_version}")
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# Pypi dependencies are installed on linux ony and nccl is availbale only on Linux.
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if sys.platform in ["linux", "linux2"]:
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if pypi_pkg_check == "enabled" and sys.platform in ["linux", "linux2"]:
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compare_pypi_to_torch_versions(
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"cudnn", find_pypi_package_version("nvidia-cudnn"), torch_cudnn_version
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)
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torch_nccl_version = ".".join(str(v) for v in torch.cuda.nccl.version())
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compare_pypi_to_torch_versions(
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"nccl", find_pypi_package_version("nvidia-nccl"), torch_nccl_version
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)
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@ -436,6 +440,13 @@ def parse_args():
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choices=["enabled", "disabled"],
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default="enabled",
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)
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parser.add_argument(
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"--pypi-pkg-check",
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help="Check pypi package versions cudnn and nccl",
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type=str,
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choices=["enabled", "disabled"],
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default="enabled",
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)
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return parser.parse_args()
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@ -460,7 +471,10 @@ def main() -> None:
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smoke_test_modules()
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smoke_test_cuda(
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options.package, options.runtime_error_check, options.torch_compile_check
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options.package,
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options.runtime_error_check,
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options.torch_compile_check,
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options.pypi_pkg_check,
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)
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@ -90,8 +90,17 @@ fi
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/pytorch/.ci/pytorch/check_binary.sh
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if [[ "\$GPU_ARCH_TYPE" != *s390x* && "\$GPU_ARCH_TYPE" != *xpu* && "\$GPU_ARCH_TYPE" != *rocm* && "$PACKAGE_TYPE" != libtorch ]]; then
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# Exclude s390, xpu, rocm and libtorch builds from smoke testing
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python /pytorch/.ci/pytorch/smoke_test/smoke_test.py --package=torchonly --torch-compile-check disabled
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torch_pkg_size="$(ls -1 /final_pkgs/torch-* | sort |tail -1 |xargs wc -c |cut -d ' ' -f1)"
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# todo: implement check for large binaries
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# if the package is larger than 1.5GB, we disable the pypi check.
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# this package contains all libraries packaged in torch libs folder
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# example of such package is https://download.pytorch.org/whl/cu126_full/torch
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if [[ "\$torch_pkg_size" -gt 1500000000 ]]; then
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python /pytorch/.ci/pytorch/smoke_test/smoke_test.py --package=torchonly --torch-compile-check disabled --pypi-pkg-check disabled
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else
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python /pytorch/.ci/pytorch/smoke_test/smoke_test.py --package=torchonly --torch-compile-check disabled $extra_parameters
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fi
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fi
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# Clean temp files
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