Date: Sun, 15 Mar 2020 18:01:12 +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: r528496 - in head/misc: . minidnn Message-ID: <202003151801.02FI1CNd002423@repo.freebsd.org>
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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 <bsd.port.mk> 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
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