def module_cls(self):
"""Return a simple module that concatenates its 2 inputs in
forward step.
"""
class MyModule(nn.Module):
def __init__(self):
super(MyModule, self).__init__()
self.dense = nn.Linear(20, 2)
# pylint: disable=arguments-differ
def forward(self, X0, X1):
X = torch.cat((X0, X1), 1)
X = F.softmax(self.dense(X), dim=-1)
return X
return MyModule
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