chrishkchris opened a new pull request #694: URL: https://github.com/apache/singa/pull/694
Work in Progress, a trial of test: ``` root@71ac539cda77:~/dcsysh/singa/examples/cnn# python3 train.py cnn mnist Starting Epoch 0: Training loss = 578.907959, training accuracy = 0.796141 Evaluation accuracy = 0.937400, Elapsed Time = 3.780531s Starting Epoch 1: Training loss = 232.124695, training accuracy = 0.922609 Evaluation accuracy = 0.962841, Elapsed Time = 4.049076s Starting Epoch 2: Training loss = 167.437912, training accuracy = 0.944220 Evaluation accuracy = 0.971855, Elapsed Time = 3.651554s Starting Epoch 3: Training loss = 138.634125, training accuracy = 0.953392 Evaluation accuracy = 0.966747, Elapsed Time = 3.441150s Starting Epoch 4: Training loss = 117.458504, training accuracy = 0.961096 Evaluation accuracy = 0.973057, Elapsed Time = 3.560500s Starting Epoch 5: Training loss = 104.992790, training accuracy = 0.965198 Evaluation accuracy = 0.979267, Elapsed Time = 3.463262s Starting Epoch 6: Training loss = 96.263885, training accuracy = 0.967249 Evaluation accuracy = 0.980369, Elapsed Time = 3.448452s Starting Epoch 7: Training loss = 89.073364, training accuracy = 0.970051 Evaluation accuracy = 0.975561, Elapsed Time = 4.008111s Starting Epoch 8: Training loss = 82.311523, training accuracy = 0.972385 Evaluation accuracy = 0.980369, Elapsed Time = 4.038986s Starting Epoch 9: Training loss = 78.408806, training accuracy = 0.974270 Evaluation accuracy = 0.979968, Elapsed Time = 3.464626s cudnnConvForward : 5.03911e-05 cudnnAddTensor : 1.75784e-05 ReLU : 1.76721e-05 GpuPoolingForward : 1.79932e-05 cudnnConvForward : 8.69407e-05 cudnnAddTensor : 1.26756e-05 ReLU : 1.21277e-05 GpuPoolingForward : 1.33688e-05 GEMM : 3.86448e-05 SetValue : 1.50594e-05 GEMM : 2.04786e-05 ReLU : 1.08824e-05 GEMM : 2.76666e-05 SetValue : 1.17772e-05 GEMM : 1.52262e-05 SoftMax : 1.74641e-05 ComputeCrossEntropy : 1.15164e-05 SetValue : 1.14181e-05 SumAll : 2.52074e-05 Div : 9.46707e-06 CopyDataToFrom : 1.36201e-05 SoftmaxCrossEntropyBackward : 1.03136e-05 Div : 9.12541e-06 SetValue : 1.14424e-05 GEMV : 1.30881e-05 Axpy : 1.0157e-05 EltwiseMult : 1.07198e-05 Axpy : 9.32879e-06 Axpy : 9.56493e-06 GEMM : 2.18145e-05 GEMM : 1.80916e-05 Axpy : 9.61272e-06 EltwiseMult : 9.28487e-06 Axpy : 1.01875e-05 Axpy : 9.85858e-06 ReLUBackward : 1.11622e-05 SetValue : 1.15455e-05 GEMV : 1.23761e-05 Axpy : 9.40337e-06 EltwiseMult : 9.53304e-06 Axpy : 9.34529e-06 Axpy : 9.59296e-06 GEMM : 3.12802e-05 GEMM : 2.18544e-05 Axpy : 1.56967e-05 EltwiseMult : 1.50189e-05 Axpy : 1.54643e-05 Axpy : 1.82553e-05 GpuPoolingBackward : 2.87581e-05 ReLUBackward : 1.45246e-05 cudnnConvolutionBackwardData : 8.92449e-05 cudnnConvolutionBackwardFilter : 8.9869e-05 cudnnConvolutionBackwardBias : 3.91475e-05 Axpy : 1.09387e-05 EltwiseMult : 9.88989e-06 Axpy : 1.10044e-05 Axpy : 1.1091e-05 Axpy : 9.35806e-06 EltwiseMult : 8.96863e-06 Axpy : 9.43876e-06 Axpy : 9.37369e-06 GpuPoolingBackward : 2.98794e-05 ReLUBackward : 2.63507e-05 cudnnConvolutionBackwardData : 7.08184e-05 cudnnConvolutionBackwardFilter : 0.000111166 cudnnConvolutionBackwardBias : 0.000126415 Axpy : 9.51455e-06 EltwiseMult : 9.19408e-06 Axpy : 9.24186e-06 Axpy : 9.65924e-06 Axpy : 9.2399e-06 EltwiseMult : 8.93243e-06 Axpy : 9.3894e-06 Axpy : 9.24875e-06 ``` ---------------------------------------------------------------- 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]
