Comments (2)
I'm afraid that's far too large an example for us to help you debug. Moreover it's not clear that this is actually an issue to do with torchsde at all (indeed you mention that using linear layers seems to work correctly).
Your basic approach of reshaping from (batch, channels * height * width)
to (batch, channels, height, width)
, and back again, sounds essentially correct, however.
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Thanks Ms @patrick-kidger, whenever I raise a issue and got your answers, I find out what happen in my work.
I have done more Experiments, and the issue cause by the Adaptive Average Pooling, I dont really know why.
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