science/ncnn: Move to misc/ncnn; Update 20200226 -> 20200413

Reported by:	portscout (update)

5 files changed, 0 insertions, 63 deletions

diff --git a/science/Makefile b/science/Makefile
index 9920647199f6..c93ad3cd5057 100644
--- a/science/Makefile
+++ b/science/Makefile
@@ -163,7 +163,6 @@
     SUBDIR += msms
     SUBDIR += multiwfn
     SUBDIR += namd
-    SUBDIR += ncnn
     SUBDIR += nest
     SUBDIR += netcdf
     SUBDIR += netcdf-cxx
diff --git a/science/ncnn/Makefile b/science/ncnn/Makefile
deleted file mode 100644
index dafb2dfc619c..000000000000
--- a/science/ncnn/Makefile
+++ /dev/null
@@ -1,26 +0,0 @@
-# $FreeBSD$
-
-PORTNAME=	ncnn
-DISTVERSION=	20200226
-CATEGORIES=	science # machine-learning
-
-MAINTAINER=	yuri@FreeBSD.org
-COMMENT=	High-performance neural network inference framework
-
-LICENSE=	BSD3CLAUSE
-LICENSE_FILE=	${WRKSRC}/LICENSE.txt
-
-USES=		cmake compiler:c11
-USE_GITHUB=	yes
-GH_ACCOUNT=	Tencent
-
-OPTIONS_DEFINE=		VULKAN
-OPTIONS_DEFAULT=	VULKAN
-
-VULKAN_DESC=		Vulkan compute support
-VULKAN_CMAKE_BOOL=	NCNN_VULKAN
-VULKAN_BUILD_DEPENDS=	glslangValidator:devel/glslang \
-			${LOCALBASE}/include/vulkan/vulkan.h:devel/vulkan-headers \
-			${LOCALBASE}/lib/libvulkan.so:graphics/vulkan-loader
-
-.include <bsd.port.mk>
diff --git a/science/ncnn/distinfo b/science/ncnn/distinfo
deleted file mode 100644
index 867686209e43..000000000000
--- a/science/ncnn/distinfo
+++ /dev/null
@@ -1,3 +0,0 @@
-TIMESTAMP = 1582953414
-SHA256 (Tencent-ncnn-20200226_GH0.tar.gz) = 02acb078e67ee98b00631318398b8444023321c6b2fd257f3dce93c7fd2387d1
-SIZE (Tencent-ncnn-20200226_GH0.tar.gz) = 10363010
diff --git a/science/ncnn/pkg-descr b/science/ncnn/pkg-descr
deleted file mode 100644
index 6fb369b8f07a..000000000000
--- a/science/ncnn/pkg-descr
+++ /dev/null
@@ -1,11 +0,0 @@
-ncnn is a high-performance neural network inference computing framework
-optimized for mobile platforms. ncnn is deeply concerned about its deployment
-and use on mobile phones from the beginning of its design. ncnn does not have
-third party dependencies. It is cross-platform, and runs faster than all known
-open-source frameworks on mobile phone CPUs. Developers can easily deploy deep
-learning algorithm models to mobile platforms by using the efficient ncnn
-implementation. They can 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
diff --git a/science/ncnn/pkg-plist b/science/ncnn/pkg-plist
deleted file mode 100644
index d04585d83f04..000000000000
--- a/science/ncnn/pkg-plist
+++ /dev/null
@@ -1,22 +0,0 @@
-include/ncnn/allocator.h
-include/ncnn/benchmark.h
-include/ncnn/blob.h
-include/ncnn/command.h
-include/ncnn/cpu.h
-include/ncnn/datareader.h
-include/ncnn/gpu.h
-include/ncnn/layer.h
-include/ncnn/layer_type.h
-include/ncnn/layer_type_enum.h
-include/ncnn/mat.h
-include/ncnn/modelbin.h
-include/ncnn/net.h
-include/ncnn/opencv.h
-include/ncnn/option.h
-include/ncnn/paramdict.h
-include/ncnn/pipeline.h
-include/ncnn/platform.h
-lib/cmake/ncnn/ncnn-%%CMAKE_BUILD_TYPE%%.cmake
-lib/cmake/ncnn/ncnn.cmake
-lib/cmake/ncnn/ncnnConfig.cmake
-lib/libncnn.a