forked from mrq/DL-Art-School
17 lines
637 B
Python
17 lines
637 B
Python
import argparse
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import options.options as option
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from models.networks import define_G
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import torch
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('-opt', type=str, help='Path to options YMAL file.', default='options/test/test_ESRGAN_adrianna_full.yml')
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opt = option.parse(parser.parse_args().opt, is_train=False)
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opt = option.dict_to_nonedict(opt)
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netG = define_G(opt)
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print("Tracing generator network..")
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dummyInput = torch.rand(1, 3, 8, 8)
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traced_netG = torch.jit.trace(netG, dummyInput)
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traced_netG.save('../results/traced_generator.zip')
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print(traced_netG) |