How to change the size of in forward function?

I want to add a module in the network, the module is used to resize the size of 4-D tensor in the network, Do you know how to achieve it?

It seems like you haven’t finish the 60 min tutorials

def forward(self, x):
       x = x.view(....) # I think you mean reshape instead of resize
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I’m sorry that I don’t describe the problem clearly. I want to crop or resize the size of in the forward function.

resize op can not backpropagate.
do you mean index like variable[:100, :10]

Yes,I just want to crop the (such as 258258 -> 256256), is it feasible?

You can not do it directly in, It will raise error of size-dismatch when backward.
Try variable[1:257,1:257] if you know what you are doing.

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Thank you very much! I have solved the problem in this way.

By the way, I want to know that whether the tensor’s ops can be used for Variable, such as torch.add(), torch.sigmoid() and so on .

torch.add is overwrite in variable which made it an op on variable. So it is ok to use torch.func on variable in most cases.