res/PyTorchExamples/examples/ConvTranspose2d/__init__.py


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import torch
import torch.nn as nn


# model
class net_ConvTranspose2d(nn.Module):
    def __init__(self):
        super().__init__()
        self.op = nn.ConvTranspose2d(2, 2, 1)

    def forward(self, input):
        return self.op(input)


_model_ = net_ConvTranspose2d()

# dummy input for onnx generation
_dummy_ = torch.randn(1, 2, 3, 3)