Hi, The following code is from PyTorch master documentation but I can not understand it; because I expect when we have an input with dimension [batch size, 1 , 3, 3], a filter tensor with dimension of [1, 1, 2, 2] should exist. As I think, F.conv2d would generate a tensor with dimension [batch_size…

Hi, The only way to have a output such [batch, 1, 1, 1] is to have a filter with same_size as input when padding=0 and stride=1. The output have to be [batch, 1, 2, 2] for your example input and filters. And the reason is you can have four 2x2 squares in a 3x3 matrix. step one: [[x, x, 0], [x, x…

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F.conv2d functionality

zahra (zahra) July 31, 2019, 11:01am 4

Thanks, it could help me.

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