Justobe commented 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-590068062 > @Justobe Actually, after closer examination of the shape inference of transpose, I believe the current version is correct and should fix your issue. Please try nightly build, which you can find e.g. here: https://repo.mxnet.io/dist/2019-12-30/dist/mxnet_cu101mkl-1.6.0b20191230-py2.py3-none-manylinux1_x86_64.whl It seems that mxnet has fixed the bug of transpose, but mxnet still does not support models trained by other backends. Could you share me more information about the bug in transpose? e.g. commit link or PR link . Looking forward to receiving your reply！ Thanks in advance.
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