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From GitBox <...@apache.org>
Subject [GitHub] [incubator-singa] chrishkchris commented on a change in pull request #468: Distributted module
Date Tue, 27 Aug 2019 08:25:18 GMT
chrishkchris commented on a change in pull request #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#discussion_r317937233
 
 

 ##########
 File path: examples/autograd/mnist_dist.py
 ##########
 @@ -0,0 +1,251 @@
+#
 
 Review comment:
   Has modified mnist_cnn.py and mnist_dist.py:
   1. the model construction, data preprocessing and training code are in mnist_cnn.py
   2. mnist_dist.py import mnist_cnn functions and passes the dist opt into train_mnist_cnn()
to conduct dist training (needs MPI).
   3. the download_mnist.py is used to download the dataset before the training. It is separated
out to prevent different process downloading data at the same time.
   
   Here is the log of running the code:
   ```
   ubuntu@ip-172-31-21-218:~/incubator-singa/examples/autograd$ python3 download_mnist.py
      
   Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
   Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
   Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
   Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
   ubuntu@ip-172-31-21-218:~/incubator-singa/examples/autograd$ python3 mnist_cnn.py     
      
   Starting Epoch 0:
   Training loss = 586.417175, training accuracy = 0.792840
   Evaluation accuracy = 0.940104, Elapsed Time = 5.638494s
   Starting Epoch 1:
   Training loss = 235.360107, training accuracy = 0.922292
   Evaluation accuracy = 0.955429, Elapsed Time = 5.563161s
   Starting Epoch 2:
   Training loss = 170.056442, training accuracy = 0.943270
   Evaluation accuracy = 0.963942, Elapsed Time = 5.579273s
   Starting Epoch 3:
   Training loss = 135.514252, training accuracy = 0.954476
   Evaluation accuracy = 0.967248, Elapsed Time = 5.562721s
   Starting Epoch 4:
   Training loss = 116.975700, training accuracy = 0.960812
   Evaluation accuracy = 0.978265, Elapsed Time = 5.583826s
   Starting Epoch 5:
   Training loss = 103.893723, training accuracy = 0.965065
   Evaluation accuracy = 0.982372, Elapsed Time = 5.585272s
   Starting Epoch 6:
   Training loss = 95.044586, training accuracy = 0.967266
   Evaluation accuracy = 0.981671, Elapsed Time = 5.580424s
   Starting Epoch 7:
   Training loss = 89.102654, training accuracy = 0.971118
   Evaluation accuracy = 0.980268, Elapsed Time = 5.583646s
   Starting Epoch 8:
   Training loss = 80.395744, training accuracy = 0.972969
   Evaluation accuracy = 0.983273, Elapsed Time = 5.600029s
   Starting Epoch 9:
   Training loss = 78.355209, training accuracy = 0.973119
   Evaluation accuracy = 0.979267, Elapsed Time = 5.587740s
   ubuntu@ip-172-31-21-218:~/incubator-singa/examples/autograd$ /home/ubuntu/mpich-3.3/build/bin/mpiexec
--hostfile host_file python3 mnist_dist.py
   Starting Epoch 0:
   Training loss = 781.167480, training accuracy = 0.719017
   Evaluation accuracy = 0.918586, Elapsed Time = 1.255623s
   Starting Epoch 1:
   Training loss = 259.223297, training accuracy = 0.912276
   Evaluation accuracy = 0.950863, Elapsed Time = 1.216926s
   Starting Epoch 2:
   Training loss = 179.333084, training accuracy = 0.940605
   Evaluation accuracy = 0.968030, Elapsed Time = 1.206751s
   Starting Epoch 3:
   Training loss = 137.840988, training accuracy = 0.954243
   Evaluation accuracy = 0.975946, Elapsed Time = 1.202503s
   Starting Epoch 4:
   Training loss = 119.743629, training accuracy = 0.959836
   Evaluation accuracy = 0.973581, Elapsed Time = 1.208274s
   Starting Epoch 5:
   Training loss = 102.545876, training accuracy = 0.965595
   Evaluation accuracy = 0.980572, Elapsed Time = 1.205539s
   Starting Epoch 6:
   Training loss = 93.249054, training accuracy = 0.969401
   Evaluation accuracy = 0.978207, Elapsed Time = 1.203708s
   Starting Epoch 7:
   Training loss = 84.655556, training accuracy = 0.971104
   Evaluation accuracy = 0.980777, Elapsed Time = 1.206410s
   Starting Epoch 8:
   Training loss = 77.996643, training accuracy = 0.973691
   Evaluation accuracy = 0.985609, Elapsed Time = 1.207295s
   Starting Epoch 9:
   Training loss = 75.888077, training accuracy = 0.974442
   Evaluation accuracy = 0.982319, Elapsed Time = 1.203693s
   ```

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