| import argparse |
| import os |
| import shlex |
| import subprocess |
| import sys |
| |
| from setup_helpers.cuda import USE_CUDA |
| |
| if __name__ == '__main__': |
| # Placeholder for future interface. For now just gives a nice -h. |
| parser = argparse.ArgumentParser(description='Build libtorch') |
| args = parser.parse_args() |
| |
| os.environ['BUILD_TORCH'] = 'ON' |
| os.environ['ONNX_NAMESPACE'] = 'onnx_torch' |
| os.environ['PYTORCH_PYTHON'] = sys.executable |
| |
| tools_path = os.path.dirname(os.path.abspath(__file__)) |
| build_pytorch_libs = os.path.join(tools_path, 'build_pytorch_libs.sh') |
| |
| command = '{} --use-nnpack '.format(build_pytorch_libs) |
| if USE_CUDA: |
| command += '--use-cuda ' |
| command += 'caffe2' |
| |
| sys.stdout.flush() |
| sys.stderr.flush() |
| subprocess.check_call(shlex.split(command), universal_newlines=True) |