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-rw-r--r--dev-cpp/tiny-dnn/Manifest1
-rw-r--r--dev-cpp/tiny-dnn/files/tiny-dnn-1.0.0_alpha3-system-libs.patch123
-rw-r--r--dev-cpp/tiny-dnn/files/tiny-dnn-add-sphinx-ext-autodoc-to-conf-py.patch11
-rw-r--r--dev-cpp/tiny-dnn/files/tiny-dnn-disable-gtest-download.patch29
-rw-r--r--dev-cpp/tiny-dnn/metadata.xml86
-rw-r--r--dev-cpp/tiny-dnn/tiny-dnn-1.0.0_alpha3-r2.ebuild90
6 files changed, 0 insertions, 340 deletions
diff --git a/dev-cpp/tiny-dnn/Manifest b/dev-cpp/tiny-dnn/Manifest
deleted file mode 100644
index 5cf90f42047c..000000000000
--- a/dev-cpp/tiny-dnn/Manifest
+++ /dev/null
@@ -1 +0,0 @@
-DIST tiny-dnn-1.0.0_alpha3.tar.gz 12885646 BLAKE2B 85c0715ab6c692b77522487775e70b0db645528baed1830c83c9f44d2b67a5207e4f7ea1709b35c6a4217d287199549304e9be19f4a5cec9a1183b0b5dccc562 SHA512 5f2c1a161771efa67e85b1fea395953b7744e29f61187ac5a6c54c912fb195b3aef9a5827135c3668bd0eeea5ae04a33cc433e1f6683e2b7955010a2632d168b
diff --git a/dev-cpp/tiny-dnn/files/tiny-dnn-1.0.0_alpha3-system-libs.patch b/dev-cpp/tiny-dnn/files/tiny-dnn-1.0.0_alpha3-system-libs.patch
deleted file mode 100644
index 5871abad7f6b..000000000000
--- a/dev-cpp/tiny-dnn/files/tiny-dnn-1.0.0_alpha3-system-libs.patch
+++ /dev/null
@@ -1,123 +0,0 @@
---- a/test/test_core.h
-+++ b/test/test_core.h
-@@ -35,7 +35,7 @@
- #include "tiny_dnn/tiny_dnn.h"
-
- #if defined(USE_OPENCL) || defined(USE_CUDA)
--#include "third_party/CLCudaAPI/clpp11.h"
-+#include "CLCudaAPI/clpp11.h"
- #endif // defined(USE_OPENCL) || defined(USE_CUDA)
-
- namespace tiny_dnn {
---- a/tiny_dnn/core/framework/device.fwd.h
-+++ b/tiny_dnn/core/framework/device.fwd.h
-@@ -46,9 +46,9 @@
-
- #if defined(USE_OPENCL) || defined(USE_CUDA)
- #ifdef USE_OPENCL
--#include "third_party/CLCudaAPI/clpp11.h"
-+#include "CLCudaAPI/clpp11.h"
- #else
--#include "third_party/CLCudaAPI/cupp11.h"
-+#include "CLCudaAPI/cupp11.h"
- #endif
- #endif
-
---- a/tiny_dnn/core/framework/program.h
-+++ b/tiny_dnn/core/framework/program.h
-@@ -49,9 +49,9 @@
-
- #if defined(USE_OPENCL) || defined(USE_CUDA)
- #ifdef USE_OPENCL
--#include "third_party/CLCudaAPI/clpp11.h"
-+#include "CLCudaAPI/clpp11.h"
- #else
--#include "third_party/CLCudaAPI/cupp11.h"
-+#include "CLCudaAPI/cupp11.h"
- #endif
- #endif
-
---- a/tiny_dnn/core/framework/program_manager.h
-+++ b/tiny_dnn/core/framework/program_manager.h
-@@ -51,9 +51,9 @@
-
- #if defined(USE_OPENCL) || defined(USE_CUDA)
- #ifdef USE_OPENCL
--#include "third_party/CLCudaAPI/clpp11.h"
-+#include "CLCudaAPI/clpp11.h"
- #else
--#include "third_party/CLCudaAPI/cupp11.h"
-+#include "CLCudaAPI/cupp11.h"
- #endif
- #endif
-
---- a/tiny_dnn/core/framework/tensor.h
-+++ b/tiny_dnn/core/framework/tensor.h
-@@ -53,9 +53,9 @@
-
- #if defined(USE_OPENCL) || defined(USE_CUDA)
- #ifdef USE_OPENCL
--#include "third_party/CLCudaAPI/clpp11.h"
-+#include "CLCudaAPI/clpp11.h"
- #else
--#include "third_party/CLCudaAPI/cupp11.h"
-+#include "CLCudaAPI/cupp11.h"
- #endif
- #endif
-
---- a/tiny_dnn/core/kernels/tiny_quantized_matmul_kernel.h
-+++ b/tiny_dnn/core/kernels/tiny_quantized_matmul_kernel.h
-@@ -15,7 +15,7 @@
-
- // Implements a quantized eight-bit version of the matmul operation.
-
--#include "third_party/gemmlowp/public/gemmlowp.h"
-+#include "gemmlowp/public/gemmlowp.h"
- #include "tiny_dnn/core/kernels/tiny_quantization_kernel.h"
-
- namespace tiny_dnn {
---- a/tiny_dnn/util/image.h
-+++ b/tiny_dnn/util/image.h
-@@ -39,15 +39,15 @@
-
- #define STB_IMAGE_IMPLEMENTATION
- #define STB_IMAGE_INLINE // We need this define to avoid multiple definition
--#include "third_party/stb/stb_image.h"
-+#include "stb/stb_image.h"
-
- #define STB_IMAGE_RESIZE_IMPLEMENTATION
- #define STB_IMAGE_RESIZE_INLINE
--#include "third_party/stb/stb_image_resize.h"
-+#include "stb/stb_image_resize.h"
-
- #define STB_IMAGE_WRITE_IMPLEMENTATION
- #define STB_IMAGE_WRITE_INLINE
--#include "third_party/stb/stb_image_write.h"
-+#include "stb/stb_image_write.h"
-
-
- namespace tiny_dnn {
---- a/tiny_dnn/util/util.h
-+++ b/tiny_dnn/util/util.h
-@@ -52,9 +52,9 @@
-
- #if defined(USE_OPENCL) || defined(USE_CUDA)
- #ifdef USE_OPENCL
--#include "third_party/CLCudaAPI/clpp11.h"
-+#include "CLCudaAPI/clpp11.h"
- #else
--#include "third_party/CLCudaAPI/cupp11.h"
-+#include "CLCudaAPI/cupp11.h"
- #endif
- #endif
-
---- a/.travis/cpplint_test.sh
-+++ b/.travis/cpplint_test.sh
-@@ -1,6 +1,6 @@
- #!/bin/bash
-
--python third_party/cpplint.py \
-+cpplint.py \
- --extensions=cpp,h \
- --filter=-build/header_guard,-runtime/references \
- tiny_dnn/*/* examples/*/* test/*/*/*/*
diff --git a/dev-cpp/tiny-dnn/files/tiny-dnn-add-sphinx-ext-autodoc-to-conf-py.patch b/dev-cpp/tiny-dnn/files/tiny-dnn-add-sphinx-ext-autodoc-to-conf-py.patch
deleted file mode 100644
index 4fadeaa907c0..000000000000
--- a/dev-cpp/tiny-dnn/files/tiny-dnn-add-sphinx-ext-autodoc-to-conf-py.patch
+++ /dev/null
@@ -1,11 +0,0 @@
---- a/docs/conf.py
-+++ b/docs/conf.py
-@@ -32,7 +32,7 @@
- # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
- # ones.
- extensions = [
-- 'sphinx.ext.mathjax'
-+ 'sphinx.ext.mathjax', 'sphinx.ext.autodoc'
- ]
-
- # Add any paths that contain templates here, relative to this directory.
diff --git a/dev-cpp/tiny-dnn/files/tiny-dnn-disable-gtest-download.patch b/dev-cpp/tiny-dnn/files/tiny-dnn-disable-gtest-download.patch
deleted file mode 100644
index 40b65ed23dfc..000000000000
--- a/dev-cpp/tiny-dnn/files/tiny-dnn-disable-gtest-download.patch
+++ /dev/null
@@ -1,29 +0,0 @@
---- a/test/CMakeLists.txt
-+++ b/test/CMakeLists.txt
-@@ -2,17 +2,6 @@
- enable_testing()
-
-
--include(../cmake/DownloadProject/DownloadProject.cmake)
--#set(gtest_disable_pthreads on) #TODO(randl): Windows?
--download_project(
-- PROJ googletest
-- GIT_REPOSITORY https://github.com/google/googletest.git
-- GIT_TAG master
-- UPDATE_DISCONNECTED 1
--)
--
--add_subdirectory(${googletest_SOURCE_DIR} ${googletest_BINARY_DIR})
--
- enable_testing()
-
- # in ../googletest-src/googletest/CMakeLists.txt, BUILD_SHARED_LIBS is set to OFF
-@@ -29,7 +18,7 @@
-
- add_executable(tiny_dnn_test test.cpp test_no_duplicate_symbols.cpp)
- target_link_libraries(tiny_dnn_test
-- ${project_library_target_name} ${REQUIRED_LIBRARIES} gtest gmock)
-+ ${project_library_target_name} ${REQUIRED_LIBRARIES})
-
- add_test(all_tests tiny_dnn_test)
- # workaround for https://gitlab.kitware.com/cmake/cmake/issues/8774
diff --git a/dev-cpp/tiny-dnn/metadata.xml b/dev-cpp/tiny-dnn/metadata.xml
deleted file mode 100644
index abe5e46975a6..000000000000
--- a/dev-cpp/tiny-dnn/metadata.xml
+++ /dev/null
@@ -1,86 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE pkgmetadata SYSTEM "https://liguros.gitlab.io/dtd/metadata.dtd">
-<pkgmetadata>
- <maintainer type="person">
- <email>lssndrbarbieri@gmail.com</email>
- <name>Alessandro Barbieri</name>
- </maintainer>
- <longdescription lang="en">
-Features
-
-Reasonably fast, without GPU:
-With TBB threading and SSE/AVX vectorization.
-98.8% accuracy on MNIST in 13 minutes training (@Core i7-3520M).
-Portable and header-only:
-Runs anywhere as long as you have a compiler which supports C++14.
-Just include tiny_dnn.h and write your model in C++. There is nothing to install.
-Easy to integrate with real applications:
-No output to stdout/stderr.
-A constant throughput (simple parallelization model, no garbage collection).
-Works without throwing an exception.
-Can import caffe's model.
-Simply implemented:
-A good library for learning neural networks.
-
-Supported networks
-
-layer-types
-
-core
-fully connected
-dropout
-linear operation
-zero padding
-power
-convolution
-convolutional
-average pooling
-max pooling
-deconvolutional
-average unpooling
-max unpooling
-normalization
-contrast normalization (only forward pass)
-batch normalization
-split/merge
-concat
-slice
-elementwise-add
-activation functions
-
-tanh
-asinh
-sigmoid
-softmax
-softplus
-softsign
-rectified linear(relu)
-leaky relu
-identity
-scaled tanh
-exponential linear units(elu)
-scaled exponential linear units (selu)
-loss functions
-
-cross-entropy
-mean squared error
-mean absolute error
-mean absolute error with epsilon range
-optimization algorithms
-
-stochastic gradient descent (with/without L2 normalization)
-momentum and Nesterov momentum
-adagrad
-rmsprop
-adam
-adamax
- </longdescription>
-
- <use>
- <flag name="double-precision">Build tiny-dnn with double precision computations</flag>
- <flag name="opencl">Build tiny-dnn with OpenCL library support</flag>
- <flag name="serialization">Build tiny-dnn with Serialization support</flag>
- <flag name="tbb">Build tiny-dnn with TBB library support</flag>
- </use>
- <origin>gentoo-guru-overlay</origin>
-</pkgmetadata> \ No newline at end of file
diff --git a/dev-cpp/tiny-dnn/tiny-dnn-1.0.0_alpha3-r2.ebuild b/dev-cpp/tiny-dnn/tiny-dnn-1.0.0_alpha3-r2.ebuild
deleted file mode 100644
index 479c6d93e461..000000000000
--- a/dev-cpp/tiny-dnn/tiny-dnn-1.0.0_alpha3-r2.ebuild
+++ /dev/null
@@ -1,90 +0,0 @@
-# Copyright 1999-2022 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-DOCS_BUILDER="sphinx"
-DOCS_DEPEND="dev-python/recommonmark"
-DOCS_DIR="docs"
-MYPV="${PV/_alpha/a}"
-PYTHON_COMPAT=( python3_{8,9,10,11,12} )
-
-inherit cmake python-any-r1 docs
-
-DESCRIPTION="header only, dependency-free deep learning framework in C++14"
-HOMEPAGE="https://github.com/tiny-dnn/tiny-dnn"
-SRC_URI="https://github.com/${PN}/${PN}/archive/refs/tags/v${MYPV}.tar.gz -> ${P}.tar.gz"
-S="${WORKDIR}/${PN}-${MYPV}"
-
-LICENSE="BSD"
-SLOT="0/${PV}"
-KEYWORDS="~amd64"
-IUSE="cpu_flags_x86_avx cpu_flags_x86_avx2 cpu_flags_x86_sse double-precision opencl openmp +serialization tbb test" # TODO: cuda
-
-# headers as rdepend because this is also an header only library
-RDEPEND="
- dev-cpp/gemmlowp
- dev-libs/stb
- opencl? (
- dev-util/opencl-headers
- virtual/opencl
- )
- serialization? ( dev-libs/cereal )
- tbb? ( dev-cpp/tbb )
-"
-DEPEND="
- ${RDEPEND}
- test? (
- dev-cpp/catch:0
- dev-cpp/gtest
- )
-"
-
-REQUIRED_USE="^^ ( openmp tbb )"
-RESTRICT="test" #tests doesn't build ...
-PATCHES=(
- "${FILESDIR}/${PN}-add-sphinx-ext-autodoc-to-conf-py.patch"
- "${FILESDIR}/${PN}-disable-gtest-download.patch"
- "${FILESDIR}/${P}-system-libs.patch"
-)
-
-src_prepare() {
- #remove bundled cereal
- rm -r cereal || die
- rm -r third_party || die
- cmake_src_prepare
-}
-
-src_configure() {
- local mycmakeargs=(
- -DBUILD_DOCS=OFF
- -DBUILD_EXAMPLES=OFF
- -DCOVERALLS=OFF
- -DUSE_LIBDNN=OFF
- -DUSE_NNPACK=OFF
-
- -DBUILD_TESTS=$(usex test)
- -DUSE_AVX=$(usex cpu_flags_x86_avx)
- -DUSE_AVX2=$(usex cpu_flags_x86_avx2)
- -DUSE_DOUBLE=$(usex double-precision)
- -DUSE_OMP=$(usex openmp)
- -DUSE_OPENCL=$(usex opencl)
- -DUSE_SERIALIZER=$(usex serialization)
- -DUSE_SSE=$(usex cpu_flags_x86_sse)
- -DUSE_TBB=$(usex tbb)
- )
- cmake_src_configure
-}
-
-src_compile() {
- cmake_src_compile
- docs_compile
-}
-
-src_install() {
- cmake_src_install
- if use doc; then
- dodoc -r _build/html
- docompress -x "/usr/share/doc/${PF}/html"
- fi
-}