BSD Ports

misc/minidnn g20200330_1 FreeBSD

Header-only C++ library for deep neural networks

System
FreeBSD
Repository
FreeBSD ports
Maintainer
[email protected]
License
MPL20
Categories
misc
Package size
98.5 KiB, 511.4 KiB installed

Description

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.

In the other systems

SystemPortVersion
FreeBSDmisc/minidnng20200330_1
DragonFlymisc/minidnng20200330_1

Install

Binary package:

pkg install minidnn

From the ports tree:

cd /usr/ports/misc/minidnn/ && make install clean

To depend on this port in another port's Makefile:

RUN_DEPENDS=	minidnn>0:misc/minidnn

Packages

The version each package repository carries. “-” means the repository builds no package of it, “n/a” that there is no such repository.

Repositoryaarch64amd64armv6armv7i386
FreeBSD:14:latestg20200330_1g20200330_1-g20200330_1g20200330_1
FreeBSD:14:quarterlyg20200330_1g20200330_1n/ag20200330_1g20200330_1
FreeBSD:15:latestg20200330_1g20200330_1n/ag20200330_1g20200330_1
FreeBSD:15:quarterlyg20200330_1g20200330_1n/an/an/a
FreeBSD:16:latestg20200330_1g20200330_1n/an/an/a
FreeBSD:16:quarterlyn/an/an/an/an/a

Dependencies

The Makefile names none itself; they come from USES and USE_*.

The full lists below include those, and their dependencies in turn.

Run dependencies 11

No port depends on this one.

Configuration

No options to configure.

USES
eigen:3,run
Service scripts
none

Files

pkg-plist 43
  • 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/Enum.h
  • include/minidnn/Utils/Factory.h
  • include/minidnn/Utils/FindMax.h
  • include/minidnn/Utils/IO.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
distinfo 1
FileSizeSHA256
yixuan-MiniDNN-g20200330-525ff216a6b5f576d4d679aee6a4636994bd4f23_GH0.tar.gz139678778a2adfa72f3db7adb6d1ea5f719c5242c79e618c9c5f67e610f7d26d08dfc5

Commit history 0

No commits in the history this site was built from.