First feature map is 150x150, I use convolution with stride=2, and then deconvolution with scale=2, the feature map size is 148x148. How can I make 148x148 be 150x150? And then I use mx.symbol.Crop, in module.fit(), after executing self.forward(), there are error in self.update(). The error is the following :
/home/travis/build/dmlc/mxnet-distro/mxnet-build/dmlc-core/include/dmlc/logging.h:308: [11:17:01] src/operator/./crop-inl.h:126: Check failed: data_shape >= out_shape (148 vs. 150) data_shape’height should be larger than that of out_shape
Any advice will be appreciated. Thank you very much!