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@yearofthewhopper
Created December 25, 2020 21:55
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model = Model()
model.eval()
random_input = torch.randn(1, 3, 512, 512, dtype=torch.float32)
input_names = ["image"]
output_names = ["outputImage"]
torch.onnx.export(model.netG, random_input, './model.onnx', verbose=False,
input_names=input_names, output_names=output_names,
opset_version=11)
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