FreeBSD Ports

misc/caffe 1.0.136_29

Fast open framework for deep learning

Repository
FreeBSD ports
Maintainer
[email protected]
Last update
Commit
85ba298b7e
License
BSD2CLAUSE
Categories
misc
Package size
1628.4 KiB, 8749.3 KiB installed

Description

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.

Install

As a binary package — by origin, or by package name:

pkg install misc/caffe
pkg install caffe

From the ports tree:

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

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

RUN_DEPENDS=	caffe>0:misc/caffe
LIB_DEPENDS=	libcaffe.so:misc/caffe

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:latest1.0.136_281.0.136_28-1.0.136_191.0.136_28
FreeBSD:14:quarterly1.0.136_281.0.136_28n/a1.0.136_191.0.136_28
FreeBSD:15:latest1.0.136_281.0.136_28n/a1.0.136_191.0.136_19
FreeBSD:15:quarterly1.0.136_281.0.136_28n/an/an/a
FreeBSD:16:latest1.0.136_281.0.136_28n/an/an/a
FreeBSD:16:quarterlyn/an/an/an/an/a

Dependencies

As this port's Makefile names them.

Build 2

Library 10

Runtime 7

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

All build dependencies 131

The first 100 are listed.

All run dependencies 221

The first 100 are listed.

No port depends on this one.

Configuration

No options to configure.

USES
cmake compiler:c++17-lang fortran localbase:ldflags pkgconfig python
Service scripts
none

Files

pkg-plist 141
  • bin/caffe
  • bin/classification
  • bin/compute_image_mean
  • bin/convert_cifar_data
  • bin/convert_imageset
  • bin/convert_mnist_data
  • bin/convert_mnist_siamese_data
  • bin/extract_features
  • bin/upgrade_net_proto_binary
  • bin/upgrade_net_proto_text
  • bin/upgrade_solver_proto_text
  • include/caffe/blob.hpp
  • include/caffe/caffe.hpp
  • include/caffe/common.hpp
  • include/caffe/data_transformer.hpp
  • include/caffe/filler.hpp
  • include/caffe/internal_thread.hpp
  • include/caffe/layer.hpp
  • include/caffe/layer_factory.hpp
  • include/caffe/layers/absval_layer.hpp
  • include/caffe/layers/accuracy_layer.hpp
  • include/caffe/layers/argmax_layer.hpp
  • include/caffe/layers/base_conv_layer.hpp
  • include/caffe/layers/base_data_layer.hpp
  • include/caffe/layers/batch_norm_layer.hpp
  • include/caffe/layers/batch_reindex_layer.hpp
  • include/caffe/layers/bias_layer.hpp
  • include/caffe/layers/bnll_layer.hpp
  • include/caffe/layers/clip_layer.hpp
  • include/caffe/layers/concat_layer.hpp
  • include/caffe/layers/contrastive_loss_layer.hpp
  • include/caffe/layers/conv_layer.hpp
  • include/caffe/layers/crop_layer.hpp
  • include/caffe/layers/cudnn_conv_layer.hpp
  • include/caffe/layers/cudnn_deconv_layer.hpp
  • include/caffe/layers/cudnn_lcn_layer.hpp
  • include/caffe/layers/cudnn_lrn_layer.hpp
  • include/caffe/layers/cudnn_pooling_layer.hpp
  • include/caffe/layers/cudnn_relu_layer.hpp
  • include/caffe/layers/cudnn_sigmoid_layer.hpp
  • include/caffe/layers/cudnn_softmax_layer.hpp
  • include/caffe/layers/cudnn_tanh_layer.hpp
  • include/caffe/layers/data_layer.hpp
  • include/caffe/layers/deconv_layer.hpp
  • include/caffe/layers/dropout_layer.hpp
  • include/caffe/layers/dummy_data_layer.hpp
  • include/caffe/layers/eltwise_layer.hpp
  • include/caffe/layers/elu_layer.hpp
  • include/caffe/layers/embed_layer.hpp
  • include/caffe/layers/euclidean_loss_layer.hpp
  • include/caffe/layers/exp_layer.hpp
  • include/caffe/layers/filter_layer.hpp
  • include/caffe/layers/flatten_layer.hpp
  • include/caffe/layers/hdf5_data_layer.hpp
  • include/caffe/layers/hdf5_output_layer.hpp
  • include/caffe/layers/hinge_loss_layer.hpp
  • include/caffe/layers/im2col_layer.hpp
  • include/caffe/layers/image_data_layer.hpp
  • include/caffe/layers/infogain_loss_layer.hpp
  • include/caffe/layers/inner_product_layer.hpp
  • include/caffe/layers/input_layer.hpp
  • include/caffe/layers/log_layer.hpp
  • include/caffe/layers/loss_layer.hpp
  • include/caffe/layers/lrn_layer.hpp
  • include/caffe/layers/lstm_layer.hpp
  • include/caffe/layers/memory_data_layer.hpp
  • include/caffe/layers/multinomial_logistic_loss_layer.hpp
  • include/caffe/layers/mvn_layer.hpp
  • include/caffe/layers/neuron_layer.hpp
  • include/caffe/layers/parameter_layer.hpp
  • include/caffe/layers/pooling_layer.hpp
  • include/caffe/layers/power_layer.hpp
  • include/caffe/layers/prelu_layer.hpp
  • include/caffe/layers/python_layer.hpp
  • include/caffe/layers/recurrent_layer.hpp
  • include/caffe/layers/reduction_layer.hpp
  • include/caffe/layers/relu_layer.hpp
  • include/caffe/layers/reshape_layer.hpp
  • include/caffe/layers/rnn_layer.hpp
  • include/caffe/layers/scale_layer.hpp
  • include/caffe/layers/sigmoid_cross_entropy_loss_layer.hpp
  • include/caffe/layers/sigmoid_layer.hpp
  • include/caffe/layers/silence_layer.hpp
  • include/caffe/layers/slice_layer.hpp
  • include/caffe/layers/softmax_layer.hpp
  • include/caffe/layers/softmax_loss_layer.hpp
  • include/caffe/layers/split_layer.hpp
  • include/caffe/layers/spp_layer.hpp
  • include/caffe/layers/swish_layer.hpp
  • include/caffe/layers/tanh_layer.hpp
  • include/caffe/layers/threshold_layer.hpp
  • include/caffe/layers/tile_layer.hpp
  • include/caffe/layers/window_data_layer.hpp
  • include/caffe/net.hpp
  • include/caffe/parallel.hpp
  • include/caffe/proto/caffe.pb.h
  • include/caffe/sgd_solvers.hpp
  • include/caffe/solver.hpp
  • include/caffe/solver_factory.hpp
  • include/caffe/syncedmem.hpp

The first 100 are listed.

distinfo 3
FileSizeSHA256
BVLC-caffe-1.0-136-g9b891540_GH0.tar.gz8.519353e+06c3fc96788aece6e90978c914382df3e8dbdb5482a6ba76a5d62147984a7ff598
7f503bd9a19758a173064e299ab9d4cac65ed60f.patch46452072c8ca1393b53ef280a15c43af940cc9bf1419ae32b3d8a6541b10b8cb50e9
1b317bab3f6413a1b5d87c9d3a300d785a4173f9.patch93665be5a646ab32e9b277b4352b702a57ac6c79af5258e12e33b9751f07d1031aa

Commit history 4

DateCommitCreditsLog message
85ba298b7e Baptiste Daroussin databases/lmdb: allow to install both 0.x and 1.x together
LMDB 1.0 and the legacy 0.9 ABI cannot be mixed, the datanase format are incompatibles as well. Rename or relocate everything databases/lmdb0 installs so that it no longer overlaps with databases/lmdb: - the utilities are now mdb_copy0, mdb_dump0, mdb_load0 and mdb_stat0 - the header is include/lmdb0/lmdb.h - the linker name is liblmdb0.so, the shared object keeps its ABI name liblmdb.so.0 so already linked programs are unaffected - the pkg-config file is lmdb0.pc A compatibility prefix holding the previous layout is also installed under ${PREFIX}/lmdb0/ (include/, lib/ and libdata/pkgconfig/) so that build systems which expect to find lmdb.h and -llmdb relative to a single directory only need a path change. Now all ports should migrate to lmdb 1.X and use the lmdb 0.9 port to ease …
ad9d649bd0 Yuri Victorovich */*: CMake 4.5 compatibility
PR: 295319
97a84ef467 Dima Panov */*: update boost consumers after boost-1.92
5f9d389f29 Xin LI databases/lmdb0: Add port for LMDB 0.9.x legacy ABI
LMDB 1.0 introduced an incompatible on-disk format change and subtle API breakage: applications that compiled cleanly against 1.0 headers could fail silently at run time. Known affected ports include dns/knot3, mail/bogofilter, and mail/postfix; the postfix issue has been confirmed upstream. Linux distributions such as Arch Linux have observed the same breakage. Samba can also be affected in certain configurations. Because the regression is not detectable in an -exp build run -- the postfix failure only manifests at run time, and bogofilter was caught only because post-build self-tests happen to exercise this path -- we cannot rely on package builds to validate the 1.0 upgrade. This commit introduces databases/lmdb0 as a holding port for the 0.9.35 …