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Subject [GitHub] [singa] chrishkchris edited a comment on issue #591: Dev branch cpu training problem (with conv and pool)
Date Tue, 18 Feb 2020 04:32:30 GMT
chrishkchris edited a comment on issue #591: Dev branch cpu training problem (with conv and
pool)
URL: https://github.com/apache/singa/issues/591#issuecomment-587273343
 
 
   I have found that the reason, the format of the memory tag should be any in order to use
the direct algorithm, otherwise the implementation will silently fall back to an explicit
GEMM algorithm which is slower:
   https://intel.github.io/mkl-dnn/dev_guide_convolution.html
   
   An example code of the correct implementation is:
   https://intel.github.io/mkl-dnn/cpu_cnn_training_f32_8c-example.html
   
   @dcslin I will try to modify the code myself first. If I find it too complex I will ask
for your help because you are more familiar with the dnnl library. Thanks!

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