mxnet.base.MXNetError: Error in operator inception30_pool2_fwd: [17:46:54] src/operator/nn/./pooling-inl.h:215: Check failed: param_.kernel[0] <= dshape[2] + 2 * param_.pad[0] kernel size (8) exceeds input (5 padded to 5)


#1

I got this error when i run the train.py in “incubator-mxnet/tree/master/example/gluon/embedding_learning”, I replaced the argument “–model” from “resnet50” to “inceptionv3”. So what should i do to solve this error???
Thank you very much first!


#2

Hey @maomaochongchh, the problem is that the size of the data is too small for that specific network

update this line
change 256 to 300

update these 2 lines
change 224 to 300