'Meaning of stacklevel in PyTorch
I came across many function in PyTorch that have _stacklevel as argument. Here an example of the Softmax modules forward()` method where it is used:
def forward(self, input: Tensor) -> Tensor:
return F.softmax(input, self.dim, _stacklevel=5)
What does _stacklevel mean? What is it good for?
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