From dev-return-6373-archive-asf-public=cust-asf.ponee.io@singa.apache.org Fri Sep 25 13:47:40 2020 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mailroute1-lw-us.apache.org (mailroute1-lw-us.apache.org [207.244.88.153]) by mx-eu-01.ponee.io (Postfix) with ESMTPS id 2387C180636 for ; Fri, 25 Sep 2020 15:47:40 +0200 (CEST) Received: from mail.apache.org (localhost [127.0.0.1]) by mailroute1-lw-us.apache.org (ASF Mail Server at mailroute1-lw-us.apache.org) with SMTP id 551541250D8 for ; Fri, 25 Sep 2020 13:47:39 +0000 (UTC) Received: (qmail 12999 invoked by uid 500); 25 Sep 2020 13:47:39 -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 12984 invoked by uid 99); 25 Sep 2020 13:47:39 -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; Fri, 25 Sep 2020 13:47:39 +0000 From: =?utf-8?q?GitBox?= To: dev@singa.apache.org Subject: =?utf-8?q?=5BGitHub=5D_=5Bsinga=5D_dcslin_edited_a_comment_on_issue_=23784?= =?utf-8?q?=3A_Preparation_for_V3=2E1_release?= Message-ID: <160104165902.32230.17314356284698773904.asfpy@gitbox.apache.org> Date: Fri, 25 Sep 2020 13:47:39 -0000 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 8bit In-Reply-To: References: dcslin edited a comment on issue #784: URL: https://github.com/apache/singa/issues/784#issuecomment-698093681 * BiLSTM model on [InsuranceQA](https://github.com/shuzi/insuranceQA) example training script. The baseline model is inspired by Tan, Ming, et al. "Lstm-based deep learning models for non-factoid answer selection." arXiv preprint arXiv:1511.04108 (2015). * Tensor Refactoring and Enhancement - Tensor transformation (reshape, transpose) supports up to 6 dimensions. - Implemented traverse_unary_transform in Cuda backend, which is similar to CPP backend one. - Added tensor operation erf, rounde (round even). - Fix Tensor operation Mult on Broadcasting use cases. - Gaussian function on Tensor now can run on Tensor with odd size. * autograd - Added some sanity check on autograd input to prevent fatal error caused by unexpected input shape. - Updated a testing helper function gradients() in autograd to lookup param gradient by param python object id for testing purpose. ---------------------------------------------------------------- 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