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Hi all,
I run a TensorFlow model Inception with Intel MKL-DNN support.
The execution time of MKL operations in MKL (e.g. _MklConv2DBackpropFilter, _MklConv2D, _MklConv2DBackpropInput, etc) have no change when I change the number of intra-threads (means the number of threads running one operation). The results are as below. Does anyone know why the MKL the performance of MKL operations will not change when changing the number of threads running this operation? Or does anyone explain the implementation of MKL-DNN support for TensorFlow for this situation? Thank you!
Name Intra-threads Time
_MklConv2DBackpropFilter 8 470
17 466
34 468
68 467
_MklConv2DBackpropInput 8 354
17 344
34 347
68 347
_MklConv2D 8 300
17 304
34 311
68 311
Kevin
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Hi Kevin,
What is Hardware (processor) you running?
and Also like https://github.com/intel/mkl-dnn/issues/234 .. , i recommend you submit your issue to https://github.com/intel/mkl-dnn/issues where our developer will help you directly.
Best Regards,
Ying

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