From dev-return-5997-archive-asf-public=cust-asf.ponee.io@singa.apache.org Mon Jul 13 09:11:12 2020 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 81B7118037A for ; Mon, 13 Jul 2020 11:11:12 +0200 (CEST) Received: (qmail 47570 invoked by uid 500); 13 Jul 2020 09:11:11 -0000 Mailing-List: contact dev-help@singa.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@singa.apache.org Delivered-To: mailing list dev@singa.apache.org Received: (qmail 47559 invoked by uid 99); 13 Jul 2020 09:11:11 -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; Mon, 13 Jul 2020 09:11:11 +0000 From: =?utf-8?q?GitBox?= To: dev@singa.apache.org Subject: =?utf-8?q?=5BGitHub=5D_=5Bsinga=5D_chrishkchris_commented_on_pull_request_?= =?utf-8?q?=23763=3A_tensor_operation_type_lang_pair_-_kInt_CPU=2C_cuda?= Message-ID: <159463147174.29655.12744982170860775594.asfpy@gitbox.apache.org> Date: Mon, 13 Jul 2020 09:11:11 -0000 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 8bit In-Reply-To: References: chrishkchris commented on pull request #763: URL: https://github.com/apache/singa/pull/763#issuecomment-657429882 This PR is a problem (bug) fix to issue #744 , and can be merged after I complied and tested it with GPU. 1. test_onnx_backend.py ``` root@71ac539cda77:~/dcsysh/singa/test/python# python3 test_onnx_backend.py ss............................ssssssssssssssssssssssssssssssss................ssss..ss..ss............ssssssssss..ssssssssssssssss............ssss....................ssssssss........................ssss....ssssssssssssssssssssssssss........ssssssssssssssssssssssssssss..........ssssssssssssss.......s.sssssss....ssssss..................ssss....ssssss..ssss..........ss.s............ssss....ssssssssssssssssssss........ssssssssssss..............ssssssssssssssssssssssss......ss......ssss..ss..............ssssssssss............ssssssssssssssssssssssssss......ssss....ssssssssssssssssss..................................ss........ssssssssssssssss....ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss................ssssssssssssssssssssssssssssssss................ssssssssssssssssss....................ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss..........ssss......ssss........ssss..............ss..........................................ssssssssssss....................ssssssssssssssssssss....ssssssssssssssssssssssssssssss..................ssss................ ---------------------------------------------------------------------- Ran 1114 tests in 1.256s OK (skipped=603) ``` 2. simple training test (just to see if it introduces other serious bug) ``` root@71ac539cda77:~/dcsysh/singa/examples/cnn# python3 train_cnn.py cnn mnist Starting Epoch 0: Training loss = 582.622375, training accuracy = 0.792789 Evaluation accuracy = 0.933393, Elapsed Time = 3.197757s Starting Epoch 1: Training loss = 234.050247, training accuracy = 0.921675 Evaluation accuracy = 0.956430, Elapsed Time = 3.176632s Starting Epoch 2: Training loss = 167.452026, training accuracy = 0.944854 Evaluation accuracy = 0.969351, Elapsed Time = 3.174831s Starting Epoch 3: Training loss = 141.909851, training accuracy = 0.952591 Evaluation accuracy = 0.969752, Elapsed Time = 3.174302s Starting Epoch 4: Training loss = 121.488564, training accuracy = 0.959212 Evaluation accuracy = 0.970853, Elapsed Time = 3.173884s Starting Epoch 5: Training loss = 106.590233, training accuracy = 0.965181 Evaluation accuracy = 0.976362, Elapsed Time = 3.271060s Starting Epoch 6: Training loss = 97.972565, training accuracy = 0.967399 Evaluation accuracy = 0.976863, Elapsed Time = 3.177941s Starting Epoch 7: Training loss = 89.360428, training accuracy = 0.970484 Evaluation accuracy = 0.973658, Elapsed Time = 3.177838s Starting Epoch 8: Training loss = 82.499229, training accuracy = 0.972719 Evaluation accuracy = 0.977865, Elapsed Time = 3.312110s Starting Epoch 9: Training loss = 79.484062, training accuracy = 0.973252 Evaluation accuracy = 0.981070, Elapsed Time = 3.180323s ``` ---------------------------------------------------------------- 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: users@infra.apache.org