zixuanweeei commented on issue #17479: Bug in RNN and LSTM with multiple layers for mxnet-mkl URL: https://github.com/apache/incubator-mxnet/issues/17479#issuecomment-580277044 Hi @icemelon9 , thanks for reporting this issue. I have a test on v1.6x branch (commit-id 6eec9da) for 3-layer LSTM. The differences between the results of those two releases are less than 1e-5. Could you give a try on v1.6.x? It would be highly appreciated. Further investigation of v1.5.x is in progress. I will confirm the result later. Sorry for the inconvenience. > mxnet: make -j USE_MKLDNN=0 USE_BLAS=mkl USE_INTEL_PATH=/opt/intel USE_OPENMP=1 USE_OPENCV=0 ``` [[[ 0.11122619 0.18695417 0.036056 0.18501873 0.00461666 0.19519787 0.11368521 0.22313197 0.16217268 0.19069287]] [[ 0.05666452 0.09940925 0.02025517 0.0998227 -0.00323086 0.10185727 0.05466421 0.12510833 0.09242072 0.10603023]] [[ 0.03004576 0.05036608 0.01141703 0.05086566 -0.00455239 0.05140195 0.02738635 0.06676298 0.05007396 0.05527211]]] [[[ 0.05855561 0.0166911 -0.02148632 0.02531915 -0.04765372 -0.00133875 -0.00242618 0.07877947 0.00234905 0.03731738]] [[ 0.00935058 0.02891479 0.01008102 0.04661271 0.01876344 -0.00332517 -0.00967842 0.03273115 0.02256259 0.02182308]] [[ 0.03004576 0.05036608 0.01141703 0.05086566 -0.00455239 0.05140195 0.02738635 0.06676298 0.05007396 0.05527211]]] ``` > mxnet-mkl: make -j USE_MKLDNN=1 USE_BLAS=mkl USE_INTEL_PATH=/opt/intel USE_OPENMP=1 USE_OPENCV=0 ``` [[[ 0.1112262 0.18695419 0.036056 0.18501873 0.00461666 0.19519788 0.11368521 0.22313201 0.16217265 0.19069287]] [[ 0.05666453 0.09940924 0.02025516 0.09982269 -0.00323086 0.10185728 0.05466421 0.12510836 0.0924207 0.10603023]] [[ 0.03004576 0.05036609 0.01141703 0.05086566 -0.00455239 0.05140197 0.02738635 0.066763 0.05007394 0.05527212]]] [[[ 0.05855562 0.01669111 -0.02148631 0.02531913 -0.04765372 -0.00133875 -0.00242618 0.07877947 0.00234905 0.03731737]] [[ 0.00935059 0.02891479 0.01008102 0.04661271 0.01876344 -0.00332517 -0.00967842 0.03273115 0.02256259 0.02182308]] [[ 0.03004576 0.05036609 0.01141703 0.05086566 -0.00455239 0.05140197 0.02738635 0.066763 0.05007394 0.05527212]]] ```
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