From owner-svn-ports-all@freebsd.org Sun Mar 15 18:01:14 2020 Return-Path: Delivered-To: svn-ports-all@mailman.nyi.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2610:1c1:1:606c::19:1]) by mailman.nyi.freebsd.org (Postfix) with ESMTP id 2139327506D; Sun, 15 Mar 2020 18:01:14 +0000 (UTC) (envelope-from yuri@FreeBSD.org) Received: from mxrelay.nyi.freebsd.org (mxrelay.nyi.freebsd.org [IPv6:2610:1c1:1:606c::19:3]) (using TLSv1.3 with cipher TLS_AES_256_GCM_SHA384 (256/256 bits) server-signature RSA-PSS (4096 bits) client-signature RSA-PSS (4096 bits) client-digest SHA256) (Client CN "mxrelay.nyi.freebsd.org", Issuer "Let's Encrypt Authority X3" (verified OK)) by mx1.freebsd.org (Postfix) with ESMTPS id 48gS0p07bbz4Fj8; Sun, 15 Mar 2020 18:01:14 +0000 (UTC) (envelope-from yuri@FreeBSD.org) Received: from repo.freebsd.org (repo.freebsd.org [IPv6:2610:1c1:1:6068::e6a:0]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client did not present a certificate) by mxrelay.nyi.freebsd.org (Postfix) with ESMTPS id F40B5B768; Sun, 15 Mar 2020 18:01:13 +0000 (UTC) (envelope-from yuri@FreeBSD.org) Received: from repo.freebsd.org ([127.0.1.37]) by repo.freebsd.org (8.15.2/8.15.2) with ESMTP id 02FI1DJH002428; Sun, 15 Mar 2020 18:01:13 GMT (envelope-from yuri@FreeBSD.org) Received: (from yuri@localhost) by repo.freebsd.org (8.15.2/8.15.2/Submit) id 02FI1CNd002423; Sun, 15 Mar 2020 18:01:12 GMT (envelope-from yuri@FreeBSD.org) Message-Id: <202003151801.02FI1CNd002423@repo.freebsd.org> X-Authentication-Warning: repo.freebsd.org: yuri set sender to yuri@FreeBSD.org using -f From: Yuri Victorovich Date: Sun, 15 Mar 2020 18:01:12 +0000 (UTC) To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r528496 - in head/misc: . minidnn X-SVN-Group: ports-head X-SVN-Commit-Author: yuri X-SVN-Commit-Paths: in head/misc: . minidnn X-SVN-Commit-Revision: 528496 X-SVN-Commit-Repository: ports MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit X-BeenThere: svn-ports-all@freebsd.org X-Mailman-Version: 2.1.29 Precedence: list List-Id: SVN commit messages for the ports tree List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 15 Mar 2020 18:01:14 -0000 Author: yuri Date: Sun Mar 15 18:01:12 2020 New Revision: 528496 URL: https://svnweb.freebsd.org/changeset/ports/528496 Log: New port: misc/minidnn: Header-only C++ library for deep neural networks Added: head/misc/minidnn/ head/misc/minidnn/Makefile (contents, props changed) head/misc/minidnn/distinfo (contents, props changed) head/misc/minidnn/pkg-descr (contents, props changed) head/misc/minidnn/pkg-plist (contents, props changed) Modified: head/misc/Makefile Modified: head/misc/Makefile ============================================================================== --- head/misc/Makefile Sun Mar 15 17:43:20 2020 (r528495) +++ head/misc/Makefile Sun Mar 15 18:01:12 2020 (r528496) @@ -239,6 +239,7 @@ SUBDIR += metalink-checker SUBDIR += metalink-tools SUBDIR += mime-support + SUBDIR += minidnn SUBDIR += mirmon SUBDIR += mmdnn SUBDIR += mmv Added: head/misc/minidnn/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/misc/minidnn/Makefile Sun Mar 15 18:01:12 2020 (r528496) @@ -0,0 +1,24 @@ +# $FreeBSD$ + +PORTNAME= minidnn +DISTVERSION= g20191209 +CATEGORIES= misc # machine-learning + +MAINTAINER= yuri@FreeBSD.org +COMMENT= Header-only C++ library for deep neural networks + +LICENSE= MPL20 + +USES= eigen:3,run +USE_GITHUB= yes +GH_ACCOUNT= yixuan +GH_PROJECT= MiniDNN +GH_TAGNAME= 57f1653c28859c689e5d8706b35d591a00e37a56 + +NO_BUILD= yes +NO_ARCH= yes + +do-install: + @cd ${WRKSRC}/include && ${COPYTREE_SHARE} . ${STAGEDIR}${PREFIX}/include/${PORTNAME} + +.include Added: head/misc/minidnn/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/misc/minidnn/distinfo Sun Mar 15 18:01:12 2020 (r528496) @@ -0,0 +1,3 @@ +TIMESTAMP = 1584294694 +SHA256 (yixuan-MiniDNN-g20191209-57f1653c28859c689e5d8706b35d591a00e37a56_GH0.tar.gz) = e473a9d74de96bfe9a5dcd1f52b9e87cec8e287132f151570cd9a0c6ef01b8ea +SIZE (yixuan-MiniDNN-g20191209-57f1653c28859c689e5d8706b35d591a00e37a56_GH0.tar.gz) = 138014 Added: head/misc/minidnn/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/misc/minidnn/pkg-descr Sun Mar 15 18:01:12 2020 (r528496) @@ -0,0 +1,5 @@ +MiniDNN is a C++ library that implements a number of popular deep neural network +(DNN) models. It has a mini codebase but is fully functional to construct +different types of feed-forward neural networks. + +WWW: https://github.com/yixuan/MiniDNN Added: head/misc/minidnn/pkg-plist ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/misc/minidnn/pkg-plist Sun Mar 15 18:01:12 2020 (r528496) @@ -0,0 +1,40 @@ +include/minidnn/Activation/Identity.h +include/minidnn/Activation/Mish.h +include/minidnn/Activation/ReLU.h +include/minidnn/Activation/Sigmoid.h +include/minidnn/Activation/Softmax.h +include/minidnn/Activation/Tanh.h +include/minidnn/Callback.h +include/minidnn/Callback/VerboseCallback.h +include/minidnn/Config.h +include/minidnn/Layer.h +include/minidnn/Layer/Convolutional.h +include/minidnn/Layer/FullyConnected.h +include/minidnn/Layer/MaxPooling.h +include/minidnn/MiniDNN.h +include/minidnn/Network.h +include/minidnn/Optimizer.h +include/minidnn/Optimizer/AdaGrad.h +include/minidnn/Optimizer/Adam.h +include/minidnn/Optimizer/RMSProp.h +include/minidnn/Optimizer/SGD.h +include/minidnn/Output.h +include/minidnn/Output/BinaryClassEntropy.h +include/minidnn/Output/MultiClassEntropy.h +include/minidnn/Output/RegressionMSE.h +include/minidnn/RNG.h +include/minidnn/Utils/Assert.h +include/minidnn/Utils/Convolution.h +include/minidnn/Utils/FindMax.h +include/minidnn/Utils/MiniDNNStream.h +include/minidnn/Utils/Random.h +include/minidnn/Utils/cnpy.h +include/minidnn/external/sparsepp/spp.h +include/minidnn/external/sparsepp/spp_config.h +include/minidnn/external/sparsepp/spp_dlalloc.h +include/minidnn/external/sparsepp/spp_memory.h +include/minidnn/external/sparsepp/spp_smartptr.h +include/minidnn/external/sparsepp/spp_stdint.h +include/minidnn/external/sparsepp/spp_timer.h +include/minidnn/external/sparsepp/spp_traits.h +include/minidnn/external/sparsepp/spp_utils.h