62 lines
2.8 KiB
Python
62 lines
2.8 KiB
Python
# *****************************************************************************
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# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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# * Neither the name of the NVIDIA CORPORATION nor the
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# names of its contributors may be used to endorse or promote products
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# derived from this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
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# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#
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# *****************************************************************************
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import argparse
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import torch
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from inference import load_and_setup_model
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def parse_args(parser):
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parser.add_argument('--generator-name', type=str, required=True,
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choices=('Tacotron2', 'FastPitch'), help='model name')
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parser.add_argument('--generator-checkpoint', type=str, required=True,
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help='full path to the generator checkpoint file')
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parser.add_argument('-o', '--output', type=str, default="trtis_repo/tacotron/1/model.pt",
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help='filename for the Tacotron 2 TorchScript model')
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parser.add_argument('--amp', action='store_true',
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help='inference with AMP')
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return parser
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def main():
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parser = argparse.ArgumentParser(description='Export models to TorchScript')
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parser = parse_args(parser)
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args = parser.parse_args()
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model = load_and_setup_model(
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args.generator_name, parser, args.generator_checkpoint,
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args.amp, device='cpu', forward_is_infer=True, polyak=False,
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jitable=True)
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torch.jit.save(torch.jit.script(model), args.output)
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if __name__ == '__main__':
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main()
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