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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