mirror of
https://github.com/pytorch/pytorch.git
synced 2025-11-04 08:00:58 +08:00
295162ec3a
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
115 lines
4.0 KiB
Bash
Executable File
115 lines
4.0 KiB
Bash
Executable File
#!/bin/bash
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OUTPUT_SCRIPT=${OUTPUT_SCRIPT:-/home/circleci/project/ci_test_script.sh}
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# only source if file exists
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if [[ -f /home/circleci/project/env ]]; then
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source /home/circleci/project/env
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fi
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cat >"${OUTPUT_SCRIPT}" <<EOL
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# =================== The following code will be executed inside Docker container ===================
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set -eux -o pipefail
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retry () {
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"\$@" || (sleep 1 && "\$@") || (sleep 2 && "\$@")
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}
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# Source binary env file here if exists
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if [[ -e "${BINARY_ENV_FILE:-/nofile}" ]]; then
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source "${BINARY_ENV_FILE:-/nofile}"
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fi
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python_nodot="\$(echo $DESIRED_PYTHON | tr -d m.u)"
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# Set up Python
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if [[ "$PACKAGE_TYPE" != libtorch ]]; then
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python_path="/opt/python/cp\$python_nodot-cp\${python_nodot}"
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if [[ "\$python_nodot" = *t ]]; then
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python_digits="\$(echo $DESIRED_PYTHON | tr -cd [:digit:])"
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python_path="/opt/python/cp\$python_digits-cp\${python_digits}t"
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fi
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export PATH="\${python_path}/bin:\$PATH"
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fi
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EXTRA_CONDA_FLAGS=""
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NUMPY_PIN=""
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PROTOBUF_PACKAGE="defaults::protobuf"
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if [[ "\$python_nodot" = *310* ]]; then
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# There's an issue with conda channel priority where it'll randomly pick 1.19 over 1.20
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# we set a lower boundary here just to be safe
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NUMPY_PIN=">=1.21.2"
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PROTOBUF_PACKAGE="protobuf>=3.19.0"
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fi
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if [[ "\$python_nodot" = *39* ]]; then
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# There's an issue with conda channel priority where it'll randomly pick 1.19 over 1.20
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# we set a lower boundary here just to be safe
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NUMPY_PIN=">=1.20"
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fi
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# Move debug wheels out of the package dir so they don't get installed
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mkdir -p /tmp/debug_final_pkgs
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mv /final_pkgs/debug-*.zip /tmp/debug_final_pkgs || echo "no debug packages to move"
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# Install the package
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# These network calls should not have 'retry's because they are installing
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# locally and aren't actually network calls
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# Pick only one package of multiple available (which happens as result of workflow re-runs)
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pkg="/final_pkgs/\$(ls -1 /final_pkgs|sort|tail -1)"
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if [[ "\$PYTORCH_BUILD_VERSION" == *dev* ]]; then
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CHANNEL="nightly"
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else
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CHANNEL="test"
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fi
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if [[ "$PACKAGE_TYPE" != libtorch ]]; then
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if [[ "\$BUILD_ENVIRONMENT" != *s390x* ]]; then
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if [[ "$USE_SPLIT_BUILD" == "true" ]]; then
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pkg_no_python="$(ls -1 /final_pkgs/torch_no_python* | sort |tail -1)"
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pkg_torch="$(ls -1 /final_pkgs/torch-* | sort |tail -1)"
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# todo: after folder is populated use the pypi_pkg channel instead
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pip install "\$pkg_no_python" "\$pkg_torch" --index-url "https://download.pytorch.org/whl/\${CHANNEL}/${DESIRED_CUDA}_pypi_pkg"
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retry pip install -q numpy protobuf typing-extensions
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else
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pip install "\$pkg" --index-url "https://download.pytorch.org/whl/\${CHANNEL}/${DESIRED_CUDA}"
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retry pip install -q numpy protobuf typing-extensions
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fi
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else
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pip install "\$pkg"
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retry pip install -q numpy protobuf typing-extensions
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fi
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fi
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if [[ "$PACKAGE_TYPE" == libtorch ]]; then
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pkg="\$(ls /final_pkgs/*-latest.zip)"
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unzip "\$pkg" -d /tmp
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cd /tmp/libtorch
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fi
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# Test the package
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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* && "$PACKAGE_TYPE" != libtorch ]]; then
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torch_pkg_size="$(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 $extra_parameters
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fi
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fi
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# Clean temp files
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cd /pytorch/.ci/pytorch/ && git clean -ffdx
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# =================== The above code will be executed inside Docker container ===================
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EOL
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echo
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echo
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echo "The script that will run in the next step is:"
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cat "${OUTPUT_SCRIPT}"
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