Return-Path: X-Original-To: apmail-singa-dev-archive@minotaur.apache.org Delivered-To: apmail-singa-dev-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id F1363187A1 for ; Wed, 16 Dec 2015 12:11:49 +0000 (UTC) Received: (qmail 69579 invoked by uid 500); 16 Dec 2015 12:11:49 -0000 Delivered-To: apmail-singa-dev-archive@singa.apache.org Received: (qmail 69528 invoked by uid 500); 16 Dec 2015 12:11:49 -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 69449 invoked by uid 99); 16 Dec 2015 12:11:49 -0000 Received: from Unknown (HELO spamd2-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 16 Dec 2015 12:11:49 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd2-us-west.apache.org (ASF Mail Server at spamd2-us-west.apache.org) with ESMTP id 683C91A0646 for ; Wed, 16 Dec 2015 12:11:49 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd2-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 1.226 X-Spam-Level: * X-Spam-Status: No, score=1.226 tagged_above=-999 required=6.31 tests=[KAM_ASCII_DIVIDERS=0.8, KAM_LAZY_DOMAIN_SECURITY=1, RCVD_IN_MSPIKE_H3=-0.01, RCVD_IN_MSPIKE_WL=-0.01, RP_MATCHES_RCVD=-0.554] autolearn=disabled Received: from mx1-eu-west.apache.org ([10.40.0.8]) by localhost (spamd2-us-west.apache.org [10.40.0.9]) (amavisd-new, port 10024) with ESMTP id WnK05b_95Gq8 for ; Wed, 16 Dec 2015 12:11:48 +0000 (UTC) Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx1-eu-west.apache.org (ASF Mail Server at mx1-eu-west.apache.org) with SMTP id DEFA020C61 for ; Wed, 16 Dec 2015 12:11:47 +0000 (UTC) Received: (qmail 68841 invoked by uid 99); 16 Dec 2015 12:11:47 -0000 Received: from arcas.apache.org (HELO arcas) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 16 Dec 2015 12:11:47 +0000 Received: from arcas.apache.org (localhost [127.0.0.1]) by arcas (Postfix) with ESMTP id DA8A32C1F78 for ; Wed, 16 Dec 2015 12:11:46 +0000 (UTC) Date: Wed, 16 Dec 2015 12:11:46 +0000 (UTC) From: "ASF subversion and git services (JIRA)" To: dev@singa.incubator.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (SINGA-100) Implement layers using CUDNN for GPU training MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/SINGA-100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15059897#comment-15059897 ] ASF subversion and git services commented on SINGA-100: ------------------------------------------------------- Commit f9d42687a623e6f010aedeca14692baaadc8241d in incubator-singa's branch refs/heads/master from [~zhongle] [ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=f9d4268 ] SINGA-100 Implement layers using CUDNN for GPU training Automatically add library path when using `--with-cuda' and `--with-cudnn'. Users can pass the lib check even if they do not set cuda/cudnn library path in environment variables. > Implement layers using CUDNN for GPU training > --------------------------------------------- > > Key: SINGA-100 > URL: https://issues.apache.org/jira/browse/SINGA-100 > Project: Singa > Issue Type: New Feature > Reporter: wangwei > > NVIDIA has released the cudnn library optimized for CNN operations like convolution, pooling, etc. It has achieved overall good performance. Hence, it is essential to add cudnn supported layers in SINGA for efficient GPU training (SINGA-41). > We will use the cudnn library to implement CNN layers, namely, > cudnnConvolutionLayer, cudnnPoolingLayer, cudnnLRNLayer, cudnnSoftmaxLayer, cudnnReLULayer, cudnnSigmoidLayer, cudnnTanhLayer, cudnnDivNormLayer. > Data type float-16 will not be consider in this ticket. -- This message was sent by Atlassian JIRA (v6.3.4#6332)