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https://github.com/saymrwulf/onnxruntime.git
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Fix Nuget GPU pipeline (#4462)
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parent
9b4c54bcef
commit
26ebcfab88
2 changed files with 21 additions and 3 deletions
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@ -486,6 +486,14 @@ def install_python_deps(numpy_version=""):
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'files.pythonhosted.org'] + dep_packages)
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# We need to install Torch to test certain functionalities of the ORT Python package
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def install_torch():
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# Command works for both Windows
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run_subprocess([sys.executable, '-m', 'pip', 'install', '--trusted-host',
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'files.pythonhosted.org', 'torch===1.5.1+cu101', 'torchvision===0.6.1+cu101',
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'-f', 'https://download.pytorch.org/whl/torch_stable.html'])
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def check_md5(filename, expected_md5):
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if not os.path.exists(filename):
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return False
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@ -1214,10 +1222,19 @@ def run_onnxruntime_tests(args, source_dir, ctest_path, build_dir, configs):
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[sys.executable, 'onnxruntime_test_python.py'],
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cwd=cwd, dll_path=dll_path)
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iobinding_test = False
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# For CUDA enabled builds test IOBinding feature
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if args.use_cuda:
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# Limit testing to Windows non-ARM builds for now
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iobinding_test = False
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if args.use_cuda and not (args.arm or args.arm64):
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# We need to have Torch installed to test the IOBinding feature
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# which currently uses Torch's allocator to allocate GPU memory for testing
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iobinding_test = True
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# Try install Torch on Windows
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if is_windows():
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log.info("Attempting to install Torch to test ORT's IOBinding feature")
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install_torch()
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try:
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import torch # noqa
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except ImportError as error:
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@ -1228,6 +1245,7 @@ def run_onnxruntime_tests(args, source_dir, ctest_path, build_dir, configs):
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"The IOBinding tests will be skipped as it requires Torch.")
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if iobinding_test:
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log.info("Testing IOBinding feature")
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run_subprocess([sys.executable, 'onnxruntime_test_python_iobinding.py'], cwd=cwd, dll_path=dll_path)
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if not args.disable_ml_ops:
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@ -113,8 +113,8 @@ if [ $DEVICE_TYPE = "Normal" ]; then
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${PYTHON_EXE} -m pip install sympy==1.1.1
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elif [ $DEVICE_TYPE = "gpu" ]; then
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${PYTHON_EXE} -m pip install sympy==1.1.1
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${PYTHON_EXE} -m pip install --upgrade --pre torch==1.6.0.dev20200610 torchvision==0.7.0.dev20200610 -f https://download.pytorch.org/whl/nightly/cu101/torch_nightly.html
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if [[ $BUILD_EXTR_PAR = *--enable_training* ]]; then
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${PYTHON_EXE} -m pip install --upgrade --pre torch==1.6.0.dev20200610 torchvision==0.7.0.dev20200610 -f https://download.pytorch.org/whl/nightly/cu101/torch_nightly.html
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${PYTHON_EXE} -m pip install transformers==v2.10.0
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# transformers requires sklearn
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${PYTHON_EXE} -m pip install sklearn
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