[GitHub] squidszyd opened a new issue #8531: How to get the correlation result of two feature maps?

[GitBox <gi...@apache.org>]

squidszyd opened a new issue #8531: How to get the correlation result of two feature maps?
URL: https://github.com/apache/incubator-mxnet/issues/8531
 
 
   Suppose I have two feature maps F1 and F2 output by a network. I want to compute convolution of F1 and F2. Assume that F1 has shape (1, C, 10, 10) and F2 has shape (1, C, 3, 3) and the wanted result should have shape (1, C, 8, 8) if pad = 0, stride = 1 and dilate = 1.
   How to implement this using MXNet?
   I have come up with one possible way that use mx.sym.Correlation, but I cannot get the idea by reading the doc.
   Or, can I set the weight of a mx.sym.Convolution layer to F2, and data to F1? Would this interfere the propagation of grads when training?

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