chrishkchris commented on issue #651: [WIP ]Simply example APIs URL: https://github.com/apache/singa/pull/651#issuecomment-609423668 I followed the new design of API, now can run (i) cnn+mnist, (ii) resnet+cifar10 ``` root@877a3759b148:~/dcsysh/singa/examples/autograd# python3 train_multiprocess.py cnn mnist --lr 0.01 Starting Epoch 0: Training loss = 625.124268, training accuracy = 0.777227 Evaluation accuracy = 0.941206, Elapsed Time = 1.721721s Starting Epoch 1: Training loss = 235.566132, training accuracy = 0.920757 Evaluation accuracy = 0.945413, Elapsed Time = 1.685381s Starting Epoch 2: Training loss = 171.600082, training accuracy = 0.942258 Evaluation accuracy = 0.969852, Elapsed Time = 1.703893s Starting Epoch 3: Training loss = 139.339203, training accuracy = 0.953476 Evaluation accuracy = 0.972857, Elapsed Time = 1.695866s Starting Epoch 4: Training loss = 120.622467, training accuracy = 0.959118 Evaluation accuracy = 0.971254, Elapsed Time = 1.703533s Starting Epoch 5: Training loss = 105.304459, training accuracy = 0.964777 Evaluation accuracy = 0.978466, Elapsed Time = 1.702236s Starting Epoch 6: Training loss = 99.502411, training accuracy = 0.966964 Evaluation accuracy = 0.975761, Elapsed Time = 1.694606s Starting Epoch 7: Training loss = 88.000076, training accuracy = 0.969985 Evaluation accuracy = 0.977364, Elapsed Time = 1.700657s Starting Epoch 8: Training loss = 85.234161, training accuracy = 0.971004 Evaluation accuracy = 0.976262, Elapsed Time = 1.690182s Starting Epoch 9: Training loss = 79.724716, training accuracy = 0.973591 Evaluation accuracy = 0.983073, Elapsed Time = 1.701022s root@877a3759b148:~/dcsysh/singa/examples/autograd# python3 train_multiprocess.py resnet cifar10 --lr 0.01 --bs 32 Check the shape of dataset: Starting Epoch 0: Training loss = 3112.784912, training accuracy = 0.317702 Evaluation accuracy = 0.464543, Elapsed Time = 151.415575s Starting Epoch 1: Training loss = 2140.442383, training accuracy = 0.500840 Evaluation accuracy = 0.568710, Elapsed Time = 156.812310s Starting Epoch 2: Training loss = 1680.163208, training accuracy = 0.616997 Evaluation accuracy = 0.681891, Elapsed Time = 157.775971s Starting Epoch 3: Training loss = 1395.033936, training accuracy = 0.688500 Evaluation accuracy = 0.711939, Elapsed Time = 157.391661s Starting Epoch 4: Training loss = 1174.264160, training accuracy = 0.738916 Evaluation accuracy = 0.756711, Elapsed Time = 157.423720s Starting Epoch 5: Training loss = 1028.127197, training accuracy = 0.773007 Evaluation accuracy = 0.779948, Elapsed Time = 157.615884s Starting Epoch 6: Training loss = 910.041748, training accuracy = 0.796935 Evaluation accuracy = 0.803886, Elapsed Time = 157.282300s Starting Epoch 7: Training loss = 829.032227, training accuracy = 0.817882 Evaluation accuracy = 0.810296, Elapsed Time = 157.427150s Starting Epoch 8: Training loss = 761.830078, training accuracy = 0.832686 Evaluation accuracy = 0.825621, Elapsed Time = 157.431677s Starting Epoch 9: Training loss = 703.944153, training accuracy = 0.846791 Evaluation accuracy = 0.825421, Elapsed Time = 157.413234s ```
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