From dev-return-3539-archive-asf-public=cust-asf.ponee.io@singa.incubator.apache.org Tue Aug 27 07:46:08 2019 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [207.244.88.153]) by mx-eu-01.ponee.io (Postfix) with SMTP id 4500D18065E for ; Tue, 27 Aug 2019 09:46:08 +0200 (CEST) Received: (qmail 56686 invoked by uid 500); 27 Aug 2019 07:46:07 -0000 Mailing-List: contact dev-help@singa.incubator.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@singa.incubator.apache.org Delivered-To: mailing list dev@singa.incubator.apache.org Received: (qmail 56675 invoked by uid 99); 27 Aug 2019 07:46:07 -0000 Received: from ec2-52-202-80-70.compute-1.amazonaws.com (HELO gitbox.apache.org) (52.202.80.70) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 27 Aug 2019 07:46:07 +0000 From: GitBox To: dev@singa.apache.org Subject: [GitHub] [incubator-singa] chrishkchris commented on a change in pull request #468: Distributted module Message-ID: <156689196761.17891.12087878572901827703.gitbox@gitbox.apache.org> Date: Tue, 27 Aug 2019 07:46:07 -0000 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 8bit 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 ``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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