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Date:      Sat, 20 Jul 2019 21:57:30 +0000 (UTC)
From:      Yuri Victorovich <yuri@FreeBSD.org>
To:        ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org
Subject:   svn commit: r507024 - in head/science: . ncnn
Message-ID:  <201907202157.x6KLvUag046845@repo.freebsd.org>

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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 <bsd.port.mk>

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



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