chrishkchris commented on issue #651: Add new example APIs URL: https://github.com/apache/singa/pull/651#issuecomment-610168094 now it supports cifar 100 as well, we can train (mlp|cnn|resnet) + (cifar10|cifar100|mnist) ``` root@71ac539cda77:~/dcsysh/singa/examples/autograd# mpiexec -np 2 python3 train_mpi.py resnet cifar100 --lr 0.1 Starting Epoch 0: Training loss = 3123.622803, training accuracy = 0.094952 Evaluation accuracy = 0.151743, Elapsed Time = 71.773229s Starting Epoch 1: Training loss = 2569.560547, training accuracy = 0.197817 Evaluation accuracy = 0.273538, Elapsed Time = 72.339331s Starting Epoch 2: Training loss = 2142.290039, training accuracy = 0.299519 Evaluation accuracy = 0.367688, Elapsed Time = 72.516621s Starting Epoch 3: Training loss = 1766.168091, training accuracy = 0.395593 Evaluation accuracy = 0.455929, Elapsed Time = 72.540777s Starting Epoch 4: Training loss = 1488.601074, training accuracy = 0.478446 Evaluation accuracy = 0.503806, Elapsed Time = 72.693376s Starting Epoch 5: Training loss = 1302.042725, training accuracy = 0.535337 Evaluation accuracy = 0.536859, Elapsed Time = 72.012540s Starting Epoch 6: Training loss = 1148.359131, training accuracy = 0.583213 Evaluation accuracy = 0.583133, Elapsed Time = 72.194807s Starting Epoch 7: Training loss = 1035.075928, training accuracy = 0.620353 Evaluation accuracy = 0.606370, Elapsed Time = 72.698941s Starting Epoch 8: Training loss = 924.950745, training accuracy = 0.654067 Evaluation accuracy = 0.621194, Elapsed Time = 72.009050s Starting Epoch 9: Training loss = 834.806763, training accuracy = 0.685857 Evaluation accuracy = 0.643129, Elapsed Time = 72.860034s ```
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