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From GitBox <...@apache.org>
Subject [GitHub] [singa] chrishkchris commented on issue #605: Dnnl perf issue
Date Thu, 20 Feb 2020 11:37:03 GMT
chrishkchris commented on issue #605: Dnnl perf issue
URL: https://github.com/apache/singa/pull/605#issuecomment-588977133
 
 
   @dcslin I have retested your branch after you recleaned the code. I think this is ready
for merge.
   
   The CPU mnist cnn result is below:
   
   root@71b7b910ae0b:~/dcsysh/singa/examples/autograd# python3 mnist_cnn.py
   Starting Epoch 0:
   Training loss = 582.440613, training accuracy = 0.794307
   Evaluation accuracy = 0.926983, Elapsed Time = 138.448628s
   Starting Epoch 1:
   Training loss = 233.955933, training accuracy = 0.921958
   Evaluation accuracy = 0.961038, Elapsed Time = 139.953837s
   Starting Epoch 2:
   Training loss = 167.640701, training accuracy = 0.944003
   Evaluation accuracy = 0.970853, Elapsed Time = 149.805821s
   Starting Epoch 3:
   Training loss = 136.292664, training accuracy = 0.955176
   Evaluation accuracy = 0.974159, Elapsed Time = 141.567021s
   Starting Epoch 4:
   Training loss = 116.591469, training accuracy = 0.961196
   Evaluation accuracy = 0.971655, Elapsed Time = 139.504096s
   Starting Epoch 5:
   Training loss = 105.760490, training accuracy = 0.965015
   Evaluation accuracy = 0.978966, Elapsed Time = 139.674059s
   Starting Epoch 6:
   Training loss = 93.552238, training accuracy = 0.968733
   Evaluation accuracy = 0.977764, Elapsed Time = 140.324435s
   Starting Epoch 7:
   Training loss = 85.340057, training accuracy = 0.970818
   Evaluation accuracy = 0.978365, Elapsed Time = 139.976697s
   Starting Epoch 8:
   Training loss = 84.529572, training accuracy = 0.971752
   Evaluation accuracy = 0.981270, Elapsed Time = 138.948784s
   Starting Epoch 9:
   Training loss = 77.371544, training accuracy = 0.974019
   Evaluation accuracy = 0.982572, Elapsed Time = 139.120852s
   
   I think the issue #591 is totally resolved after merging this PR. Thanks a lot for your
help @dcslin 

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