From owner-svn-ports-all@freebsd.org Sat Jul 20 21:57:32 2019 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 2D8B7A13B3; Sat, 20 Jul 2019 21:57:32 +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 E37AB9125B; Sat, 20 Jul 2019 21:57:31 +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 B9A3818E95; Sat, 20 Jul 2019 21:57:31 +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 x6KLvVv9046850; Sat, 20 Jul 2019 21:57:31 GMT (envelope-from yuri@FreeBSD.org) Received: (from yuri@localhost) by repo.freebsd.org (8.15.2/8.15.2/Submit) id x6KLvUag046845; Sat, 20 Jul 2019 21:57:30 GMT (envelope-from yuri@FreeBSD.org) Message-Id: <201907202157.x6KLvUag046845@repo.freebsd.org> X-Authentication-Warning: repo.freebsd.org: yuri set sender to yuri@FreeBSD.org using -f From: Yuri Victorovich Date: Sat, 20 Jul 2019 21:57:30 +0000 (UTC) To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r507024 - in head/science: . ncnn X-SVN-Group: ports-head X-SVN-Commit-Author: yuri X-SVN-Commit-Paths: in head/science: . ncnn X-SVN-Commit-Revision: 507024 X-SVN-Commit-Repository: ports MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit X-Rspamd-Queue-Id: E37AB9125B X-Spamd-Bar: -- Authentication-Results: mx1.freebsd.org X-Spamd-Result: default: False [-2.96 / 15.00]; local_wl_from(0.00)[FreeBSD.org]; NEURAL_HAM_MEDIUM(-1.00)[-1.000,0]; NEURAL_HAM_SHORT(-0.96)[-0.959,0]; ASN(0.00)[asn:11403, ipnet:2610:1c1:1::/48, country:US]; NEURAL_HAM_LONG(-1.00)[-1.000,0] 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: Sat, 20 Jul 2019 21:57:32 -0000 Author: yuri Date: Sat Jul 20 21:57:30 2019 New Revision: 507024 URL: https://svnweb.freebsd.org/changeset/ports/507024 Log: New port: science/ncnn: High-performance neural network inference framework Added: head/science/ncnn/ head/science/ncnn/Makefile (contents, props changed) head/science/ncnn/distinfo (contents, props changed) head/science/ncnn/pkg-descr (contents, props changed) head/science/ncnn/pkg-plist (contents, props changed) Modified: head/science/Makefile Modified: head/science/Makefile ============================================================================== --- head/science/Makefile Sat Jul 20 21:46:29 2019 (r507023) +++ head/science/Makefile Sat Jul 20 21:57:30 2019 (r507024) @@ -163,6 +163,7 @@ SUBDIR += msms SUBDIR += multiwfn SUBDIR += namd + SUBDIR += ncnn SUBDIR += nest SUBDIR += netcdf SUBDIR += netcdf-cxx Added: head/science/ncnn/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/ncnn/Makefile Sat Jul 20 21:57:30 2019 (r507024) @@ -0,0 +1,23 @@ +# $FreeBSD$ + +PORTNAME= ncnn +DISTVERSION= 20190611-40 +DISTVERSIONSUFFIX= -gd3be711 +CATEGORIES= science + +MAINTAINER= yuri@FreeBSD.org +COMMENT= High-performance neural network inference framework + +LICENSE= BSD3CLAUSE +LICENSE_FILE= ${WRKSRC}/LICENSE.txt + +USES= cmake +USE_GITHUB= yes +GH_ACCOUNT= Tencent + +post-install: # https://github.com/Tencent/ncnn/issues/1130 + @${MKDIR} ${STAGEDIR}${PREFIX}/lib/cmake/${PORTNAME} + @${MV} ${STAGEDIR}${DATADIR}/* ${STAGEDIR}${PREFIX}/lib/cmake/${PORTNAME} + @${RMDIR} ${STAGEDIR}${DATADIR} + +.include Added: head/science/ncnn/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/ncnn/distinfo Sat Jul 20 21:57:30 2019 (r507024) @@ -0,0 +1,3 @@ +TIMESTAMP = 1563657937 +SHA256 (Tencent-ncnn-20190611-40-gd3be711_GH0.tar.gz) = ce06ba95e68074a2e9c063bf0b3c60301d1836cf590ee0e47fabf811f98f99ce +SIZE (Tencent-ncnn-20190611-40-gd3be711_GH0.tar.gz) = 10064158 Added: head/science/ncnn/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/ncnn/pkg-descr Sat Jul 20 21:57:30 2019 (r507024) @@ -0,0 +1,11 @@ +ncnn is a high-performance neural network inference computing framework +optimized for mobile platforms. ncnn is deeply considerate about deployment and +uses on mobile phones from the beginning of design. ncnn does not have third +party dependencies. it is cross-platform, and runs faster than all known open +source frameworks on mobile phone cpu. Developers can easily deploy deep +learning algorithm models to the mobile platform by using efficient ncnn +implementation, create intelligent APPs, and bring the artificial intelligence +to your fingertips. ncnn is currently being used in many Tencent applications, +such as QQ, Qzone, WeChat, Pitu and so on. + +WWW: https://github.com/Tencent/ncnn Added: head/science/ncnn/pkg-plist ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/ncnn/pkg-plist Sat Jul 20 21:57:30 2019 (r507024) @@ -0,0 +1,21 @@ +include/allocator.h +include/benchmark.h +include/blob.h +include/command.h +include/cpu.h +include/gpu.h +include/layer.h +include/layer_type.h +include/layer_type_enum.h +include/mat.h +include/modelbin.h +include/net.h +include/opencv.h +include/option.h +include/paramdict.h +include/pipeline.h +include/platform.h +lib/cmake/ncnn/ncnn-%%CMAKE_BUILD_TYPE%%.cmake +lib/cmake/ncnn/ncnn.cmake +lib/cmake/ncnn/ncnnConfig.cmake +lib/libncnn.a