Justobe edited a comment on issue #17250: mxnet.base.MXNetError: Error in operator transpose176: [02:14:06] src/operator/tensor/./matrix_op-inl.h:354: Check failed: shp.ndim() == param.axes.ndim() (-1 vs. 4) URL: https://github.com/apache/incubator-mxnet/issues/17250#issuecomment-572847927 Hello @roywei, thanks for your reply. 1. These models are trained under TensorFlow and can be run correctly under CNTK and Theano. I have a lot of models, and only a few models (including this one) throw exceptions under the MXNET. I wonder if this is a bug in currently mxnet. I'm really looking forward that it could be fix if it's a bug. I enjoy using keras under the mxnet backend (this [Issue17258](https://github.com/apache/incubator-mxnet/issues/17258) may have the same reason) 2. I do notice that you have made a lot of changes in keras-mxnet for mxnet. Will this affect other backends in keras-mxnet?(e.g. TensorFlow, CNTK). This is very exciting if keras-mxnet will not affect other backend and can support mxnet at the same time 3. Besides, I have another [problem](https://github.com/apache/incubator-mxnet/issues/17260).I fail to use inceptionV3 (provided by keras) under mxnet, but it works fine with other backends. It seems that mxnet might have some unexpected behavior when I use API of keras.
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