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https://github.com/zebrajr/pytorch.git
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d01cb70497
Summary: build with mkl-dnn by default Pull Request resolved: https://github.com/pytorch/pytorch/pull/13303 Reviewed By: yinghai Differential Revision: D12979633 Pulled By: orionr fbshipit-source-id: 00d23fa27c0d13e82f7e5acb3ebd00ed7ba1d5dc
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
import argparse
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import os
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import shlex
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import subprocess
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import sys
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from setup_helpers.cuda import USE_CUDA
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from setup_helpers.env import check_env_flag
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if __name__ == '__main__':
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# Placeholder for future interface. For now just gives a nice -h.
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parser = argparse.ArgumentParser(description='Build libtorch')
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options = parser.parse_args()
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os.environ['BUILD_TORCH'] = 'ON'
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os.environ['BUILD_TEST'] = 'ON'
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os.environ['ONNX_NAMESPACE'] = 'onnx_torch'
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os.environ['PYTORCH_PYTHON'] = sys.executable
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tools_path = os.path.dirname(os.path.abspath(__file__))
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build_pytorch_libs = os.path.join(tools_path, 'build_pytorch_libs.sh')
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command = [build_pytorch_libs, '--use-nnpack']
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USE_MKLDNN = check_env_flag('USE_MKLDNN', 'ON')
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if USE_MKLDNN:
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command.append('--use-mkldnn')
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if USE_CUDA:
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command.append('--use-cuda')
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if os.environ.get('USE_CUDA_STATIC_LINK', False):
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command.append('--cuda-static-link')
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command.append('caffe2')
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sys.stdout.flush()
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sys.stderr.flush()
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subprocess.check_call(command, universal_newlines=True)
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