chrishkchris commented on issue #577: SINGA-502 Avoid moving data between host and gpu in SoftmaxCrossEntropy URL: https://github.com/apache/singa/pull/577#issuecomment-576577786 Some examples running: ``` ubuntu@ip-172-31-17-75:~/singa/examples/autograd$ python3 mlp.py train_data_shape: (400, 2) train_label_shape: (400, 2) training loss = 0.6908968 training loss = 0.59333104 training loss = 0.5687339 training loss = 0.5405281 training loss = 0.46624574 training loss = 0.35966498 training loss = 0.28517348 training loss = 0.23358232 training loss = 0.19751398 training loss = 0.17123318 training loss = 0.15162155 ubuntu@ip-172-31-17-75:~/singa/examples/autograd$ python3 mnist_cnn.py Starting Epoch 0: Training loss = 585.281616, training accuracy = 0.791572 Evaluation accuracy = 0.940204, Elapsed Time = 2.901998s Starting Epoch 1: Training loss = 234.667984, training accuracy = 0.920758 Evaluation accuracy = 0.961839, Elapsed Time = 2.898471s Starting Epoch 2: Training loss = 168.530197, training accuracy = 0.943420 Evaluation accuracy = 0.970753, Elapsed Time = 2.903471s Starting Epoch 3: Training loss = 137.636353, training accuracy = 0.953875 Evaluation accuracy = 0.974860, Elapsed Time = 2.908554s Starting Epoch 4: Training loss = 118.752136, training accuracy = 0.959779 Evaluation accuracy = 0.971955, Elapsed Time = 2.916549s Starting Epoch 5: Training loss = 105.220406, training accuracy = 0.964131 Evaluation accuracy = 0.974359, Elapsed Time = 2.926336s Starting Epoch 6: Training loss = 95.145279, training accuracy = 0.968350 Evaluation accuracy = 0.980569, Elapsed Time = 2.918108s Starting Epoch 7: Training loss = 86.757538, training accuracy = 0.971251 Evaluation accuracy = 0.982572, Elapsed Time = 2.920413s Starting Epoch 8: Training loss = 81.706383, training accuracy = 0.972252 Evaluation accuracy = 0.984075, Elapsed Time = 2.924388s Starting Epoch 9: Training loss = 77.409966, training accuracy = 0.973769 Evaluation accuracy = 0.981270, Elapsed Time = 2.929271s ubuntu@ip-172-31-17-75:~/singa/examples/autograd$ python3 resnet.py Start intialization............ 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:29<00:00, 3.45it/s] Throughput = 110.30029570709767 per second Total=0.2901170825958252, forward=0.09263657093048096, softmax=0.0016593122482299804, backward=0.19582119941711426, sgd=0.009393131732940674 ```
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
