chowkamlee81 opened a new issue #7907: Dense upsamling operation rather than deconvolution implementation URL: https://github.com/apache/incubator-mxnet/issues/7907 I developed a small snippet to replace deconvolution by Dense-up sampling operation according to mxnet example incubator-mxnet/example/gluon/super_resolution.py. My i/p is 1024*48*64 My o/p required is 19*768*1024. Hence i did conv to produce (19*16*16)*48*64. Here upsampling factor is 16, num_classes=19 Through your technique i got 19*768*1024 which is desired accordingly when i ran using jupyter notebook graphically diagram of network. But when i give this symbol for training, exception thrown below Kindly suggest and help pls " src/operator/./crop-inl.h:139: Check failed: param_.offset[1] <= data_shape[3]-out_shape[3] (8 vs. 0) offset[1] should be less than the residual space of width" ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
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