1/2 stride in Conv2d

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I am trying to implement a paper that uses a 1/2 stride CONV layer as in-network upsampling. However, when I enter 0.5 as value for stride in nn.Conv2d, it (obviously) throws an error. Any suggestions on this? This is a really popular paper, so I’m sure it has been done in PyTorch before!

Link to paper’s network architecture: http://cs.stanford.edu/people/jcjohns/papers/eccv16/JohnsonECCV16Supplementary.pdf

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You are looking for nn.Conv2dTransposed

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I’m in Justin Johnson’s Stanford course, and he happened to talk about that today. Thanks!