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* [refactor][API2.0] Add onnx export and jit trace (#419) * first commit * add async call * add new api onnx export and jit trace * add decorator * fix ci * fix torchscript ci * fix loader * better pipemanager * remove comment, better import * add kwargs * remove comment * better pipeline manager * remove print * [Refactor][API2.0] Api partition calibration (#433) * first commit * add async call * add new api onnx export and jit trace * add decorator * fix ci * fix torchscript ci * fix loader * better pipemanager * remove comment, better import * add partition * move calibration * Better create_calib_table * better deploy * add kwargs * remove comment * better pipeline manager * rename api, remove reduant variable, and misc * [Refactor][API2.0] Api ncnn openvino (#435) * first commit * add async call * add new api onnx export and jit trace * add decorator * fix ci * fix torchscript ci * fix loader * better pipemanager * remove comment, better import * add ncnn api * finish ncnn api * add openvino support * add kwargs * remove comment * better pipeline manager * merge fix * merge util and onnx2ncnn * fix docstring * [Refactor][API2.0] API for TensorRT (#519) * first commit * add async call * add new api onnx export and jit trace * add decorator * fix ci * fix torchscript ci * fix loader * better pipemanager * remove comment, better import * add partition * move calibration * Better create_calib_table * better deploy * add kwargs * remove comment * Add tensorrt API * better pipeline manager * add tensorrt new api * remove print * rename api, remove reduant variable, and misc * add docstring * [Refactor][API2.0] Api ppl other (#528) * first commit * add async call * add new api onnx export and jit trace * add decorator * fix ci * fix torchscript ci * fix loader * better pipemanager * remove comment, better import * add kwargs * Add new APIS for pplnn sdk and misc * remove comment * better pipeline manager * merge fix * update tools/onnx2pplnn.py * rename function
41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import argparse
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import logging
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from mmdeploy.apis.ncnn import from_onnx
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from mmdeploy.utils import get_root_logger
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def parse_args():
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parser = argparse.ArgumentParser(description='Convert ONNX to ncnn.')
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parser.add_argument('onnx_path', help='ONNX model path')
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parser.add_argument('output_prefix', help='output ncnn model path')
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parser.add_argument(
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'--log-level',
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help='set log level',
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default='INFO',
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choices=list(logging._nameToLevel.keys()))
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args = parser.parse_args()
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return args
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def main():
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args = parse_args()
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logger = get_root_logger(log_level=args.log_level)
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onnx_path = args.onnx_path
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output_prefix = args.output_prefix
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logger.info(f'onnx2ncnn: \n\tonnx_path: {onnx_path} ')
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try:
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from_onnx(onnx_path, output_prefix)
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logger.info('onnx2ncnn success.')
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except Exception as e:
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logger.error(e)
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logger.error('onnx2ncnn failed.')
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if __name__ == '__main__':
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main()
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