Date: Wednesday, March 15, 2023 @ 20:35:11
Author: kgizdov
Revision: 1420964
archrelease: copy trunk to community-x86_64
Added:
torchvision/repos/community-x86_64/PKGBUILD
(from rev 1420963, torchvision/trunk/PKGBUILD)
Deleted:
torchvision/repos/community-x86_64/PKGBUILD
----------+
PKGBUILD | 365 ++++++++++++++++++++++++++++++-------------------------------
1 file changed, 183 insertions(+), 182 deletions(-)
Deleted: PKGBUILD
===================================================================
--- PKGBUILD 2023-03-15 20:35:05 UTC (rev 1420963)
+++ PKGBUILD 2023-03-15 20:35:11 UTC (rev 1420964)
@@ -1,182 +0,0 @@
-# Maintainer: Konstantin Gizdov <arch at kge dot pw>
-# Contributor: Butui Hu <[email protected]>
-# Contributor: Chih-Hsuan Yen <[email protected]>
-# Contributor: Jean Lucas <[email protected]>
-# Based on python-torchvision-git; original contributors:
-# Contributor: Stephen Zhang <zsrkmyn at gmail dot com>
-#
-# NOTE:
-# to build with GPU decoder, we use nvidia-sdk header files from
https://github.com/NVIDIA/DALI for convenience
-# you could also use https://aur.archlinux.org/packages/nvidia-sdk
-# just update environment variable `TORCHVISION_INCLUDE` and
`TORCHVISION_LIBRARY`
-# see also
https://github.com/pytorch/vision/blob/main/torchvision/csrc/io/decoder/gpu/README.rst
-#
-
-# update when available in pytorch
-_CUDA_ARCH_LIST="5.2;5.3;6.0;6.1;6.2;7.0;7.2;7.5;8.0;8.6;8.9;8.9+PTX"
#;9.0;9.0+PTX"
-_CUDA_ARCH_LIST_CMAKE="52-real;53-real;60-real;61-real;62-real;70-real;72-real;75-real;80-real;86-real;89-real;89-virtual"
#;90-real;90-virtual"
-_pkgname=vision
-pkgbase='torchvision'
-pkgname=('torchvision' 'torchvision-cuda' 'python-torchvision'
'python-torchvision-cuda')
-pkgver=0.14.1
-pkgrel=1
-pkgdesc='Datasets, transforms, and models specific to computer vision'
-arch=('x86_64')
-url='https://github.com/pytorch/vision'
-license=('BSD')
-depends=(
- python-numpy
- python-pillow
- python-requests
- python-scipy
-)
-optdepends=(
- 'ffmpeg4.4: video reader backend (the recommended one with better
performance)'
- 'python-pycocotools: support for MS-COCO dataset'
-)
-makedepends=(
- cmake
- ninja
- cuda
- ffmpeg4.4
- python-pytorch-opt-cuda
- python-setuptools
- qt5-base
- nvidia-utils
-)
-source=("${_pkgname}-${pkgver}.tar.gz::https://github.com/pytorch/vision/archive/v${pkgver}.tar.gz";
-
"https://github.com/NVIDIA/DALI/raw/main/dali/operators/reader/loader/video/nvdecode/cuviddec.h";
-
"https://github.com/NVIDIA/DALI/raw/main/dali/operators/reader/loader/video/nvdecode/nvcuvid.h";
-)
-b2sums=('0708635b00ac7c2cf4e54799f1190f01f3240f53233695819f691313b8a369b8922520e2f3cf96184bab671877b5826b84e0936d9ca5b58004d6e2a098c6cbbf'
-
'9ccff204a4e1e93340d8b12c2b1d17e01663c12957b4665c0043eccf76d507a7308745a5d9e4d89657840aaf8abf0aa8f51bd79d6e0d5dc57a376d54a754755a'
-
'7db5d621f3099bc5455f1faeb7f4c3575a9cf70153ba56a6efc6d67d0ef2ac5438f6e117e621c5ef35c239eb3bce3fe17ce160e6b7765e8203d67a7299085429')
-
-prepare() {
- cd "${srcdir}/${_pkgname}-${pkgver}"
-
- # fix building with ffmpeg4.4 by manually setup include and lib dir
- # and remove other codes to find ffmpeg exe, as ffmpeg4.4 are only headers
and libs without ffmpeg cmd
- sed -e 's#ffmpeg_include_dir = os.path.join(ffmpeg_root,
"include")#ffmpeg_include_dir = "/usr/include/ffmpeg4.4"#' \
- -e 's#ffmpeg_library_dir = os.path.join(ffmpeg_root,
"lib")#ffmpeg_library_dir = "/usr/lib/ffmpeg4.4"#' \
- -e 's#has_ffmpeg = ffmpeg_exe is not None#has_ffmpeg = True#' \
- -e '/ffmpeg_exe/d' \
- -e '/ffmpeg_bin/d' \
- -e '/ffmpeg_root/d' \
- -i setup.py
-
- cp -a "${srcdir}/${_pkgname}-${pkgver}"
"${srcdir}/${_pkgname}-cuda-${pkgver}"
- cp -a "${srcdir}/${_pkgname}-${pkgver}"
"${srcdir}/python-${_pkgname}-${pkgver}"
- # need this to disable CUDA
- cd "${srcdir}/python-${_pkgname}-${pkgver}"
- sed -e 's#torch.cuda.is_available()#False#' -i setup.py
- cp -a "${srcdir}/${_pkgname}-${pkgver}"
"${srcdir}/python-${_pkgname}-cuda-${pkgver}"
-}
-
-build() {
- # build torchvision
- cd "${srcdir}/${_pkgname}-${pkgver}"
- rm -rf build
- mkdir build
- cd build
-
- cmake "../" \
- -DCMAKE_INSTALL_PREFIX=/usr \
- -DCMAKE_BUILD_TYPE=None \
- -DCMAKE_CXX_FLAGS="${CXXFLAGS} -O3" \
- -DCMAKE_SHARED_LINKER_FLAGS="${LDFLAGS}" \
- -DWITH_CUDA=OFF
- make
-
-
- # build torchvision-cuda
- cd "${srcdir}/${_pkgname}-cuda-${pkgver}"
- rm -rf build
- mkdir build
- cd build
-
- cmake "../" \
- -DCMAKE_INSTALL_PREFIX=/usr \
- -DCMAKE_BUILD_TYPE=None \
- -DCMAKE_CXX_FLAGS="${CXXFLAGS} -O3" \
- -DCMAKE_SHARED_LINKER_FLAGS="${LDFLAGS}" \
- -DWITH_CUDA=ON \
- -DTORCH_CUDA_ARCH_LIST="${_CUDA_ARCH_LIST}" \
- -DCUDA_ARCH_LIST="${_CUDA_ARCH_LIST}" \
- -DCMAKE_CUDA_ARCHITECTURES="${_CUDA_ARCH_LIST_CMAKE}"
- make
-
-
- # build python-torchvision
- cd "${srcdir}/python-${_pkgname}-${pkgver}"
- WITH_CUDA=0 \
- FORCE_CUDA=0 \
- TORCHVISION_USE_NVJPEG=0 \
- python setup.py build
-
-
- # build python-torchvision-cuda
- cd "${srcdir}/python-${_pkgname}-cuda-${pkgver}"
- TORCHVISION_INCLUDE=${srcdir} \
- TORCHVISION_LIBRARY=/usr/lib \
- FORCE_CUDA=1 \
- TORCH_CUDA_ARCH_LIST=${_CUDA_ARCH_LIST} \
- python setup.py build
-}
-
-check() {
- local python_version=$(python -c 'import sys; print("".join(map(str,
sys.version_info[:2])))')
- # check if VideoReader is build
- # VideoReader depends on ffmpeg
- cd "${srcdir}/python-${_pkgname}-${pkgver}"
- PYTHONPATH="${PWD}/build/lib.linux-${CARCH}-cpython-${python_version}" \
- python -c "from torchvision.io import VideoReader"
-
- cd "${srcdir}/python-${_pkgname}-cuda-${pkgver}"
- PYTHONPATH="${PWD}/build/lib.linux-${CARCH}-cpython-${python_version}" \
- python -c "from torchvision.io import VideoReader"
-}
-
-package_python-torchvision() {
- depends+=('python-pytorch')
-
- cd "${srcdir}/python-${_pkgname}-${pkgver}"
- python setup.py install --root="${pkgdir}" --optimize=1 --skip-build
- install -Dm644 LICENSE -t "${pkgdir}/usr/share/licenses/${pkgname}"
-}
-
-package_python-torchvision-cuda() {
- pkgdesc='Datasets, transforms, and models specific to computer vision (with
GPU support)'
- depends+=('python-pytorch-cuda')
- provides+=('python-torchvision')
- conflicts+=('python-torchvision')
-
- cd "${srcdir}/python-${_pkgname}-cuda-${pkgver}"
- TORCHVISION_INCLUDE=${srcdir} \
- TORCHVISION_LIBRARY=/usr/lib \
- FORCE_CUDA=1 \
- TORCH_CUDA_ARCH_LIST=${_CUDA_ARCH_LIST} \
- python setup.py install --root="${pkgdir}" --optimize=1 --skip-build
- install -Dm644 LICENSE -t "${pkgdir}/usr/share/licenses/${pkgname}"
-}
-
-package_torchvision() {
- pkgdesc='Datasets, transforms, and models specific to computer vision (C++
library only)'
- depends+=('python-pytorch-cuda')
-
- cd "${srcdir}/${_pkgname}-${pkgver}"
- make -C build install DESTDIR="$pkgdir"
- install -m644 -Dt "$pkgdir/usr/share/licenses/$pkgname" LICENSE
-}
-package_torchvision-cuda() {
- pkgdesc='Datasets, transforms, and models specific to computer vision (C++
library only with GPU support)'
- depends+=('python-pytorch-cuda')
- provides+=('torchvision')
- conflicts+=('torchvision')
-
- cd "${srcdir}/${_pkgname}-cuda-${pkgver}"
- make -C build install DESTDIR="$pkgdir"
- install -m644 -Dt "$pkgdir/usr/share/licenses/$pkgname" LICENSE
-}
-
-# vim:set ts=2 sw=2 et:
Copied: torchvision/repos/community-x86_64/PKGBUILD (from rev 1420963,
torchvision/trunk/PKGBUILD)
===================================================================
--- PKGBUILD (rev 0)
+++ PKGBUILD 2023-03-15 20:35:11 UTC (rev 1420964)
@@ -0,0 +1,183 @@
+# Maintainer: Konstantin Gizdov <arch at kge dot pw>
+# Contributor: Butui Hu <[email protected]>
+# Contributor: Chih-Hsuan Yen <[email protected]>
+# Contributor: Jean Lucas <[email protected]>
+# Based on python-torchvision-git; original contributors:
+# Contributor: Stephen Zhang <zsrkmyn at gmail dot com>
+#
+# NOTE:
+# to build with GPU decoder, we use nvidia-sdk header files from
https://github.com/NVIDIA/DALI for convenience
+# you could also use https://aur.archlinux.org/packages/nvidia-sdk
+# just update environment variable `TORCHVISION_INCLUDE` and
`TORCHVISION_LIBRARY`
+# see also
https://github.com/pytorch/vision/blob/main/torchvision/csrc/io/decoder/gpu/README.rst
+#
+
+# update when available in pytorch
+_CUDA_ARCH_LIST="5.2;5.3;6.0;6.1;6.2;7.0;7.2;7.5;8.0;8.6;8.9;8.9+PTX"
#;9.0;9.0+PTX"
+_CUDA_ARCH_LIST_CMAKE="52-real;53-real;60-real;61-real;62-real;70-real;72-real;75-real;80-real;86-real;89-real;89-virtual"
#;90-real;90-virtual"
+_pkgname=vision
+pkgbase='torchvision'
+pkgname=('torchvision' 'torchvision-cuda' 'python-torchvision'
'python-torchvision-cuda')
+pkgver=0.15.1
+pkgrel=1
+pkgdesc='Datasets, transforms, and models specific to computer vision'
+arch=('x86_64')
+url='https://github.com/pytorch/vision'
+license=('BSD')
+depends=(
+ python-numpy
+ python-pillow
+ python-requests
+ python-scipy
+ python-sympy
+)
+optdepends=(
+ 'ffmpeg4.4: video reader backend (the recommended one with better
performance)'
+ 'python-pycocotools: support for MS-COCO dataset'
+)
+makedepends=(
+ cmake
+ ninja
+ cuda
+ ffmpeg4.4
+ python-pytorch-opt-cuda
+ python-setuptools
+ qt5-base
+ nvidia-utils
+)
+source=("${_pkgname}-${pkgver}.tar.gz::https://github.com/pytorch/vision/archive/v${pkgver}.tar.gz";
+
"https://github.com/NVIDIA/DALI/raw/main/dali/operators/reader/loader/video/nvdecode/cuviddec.h";
+
"https://github.com/NVIDIA/DALI/raw/main/dali/operators/reader/loader/video/nvdecode/nvcuvid.h";
+)
+b2sums=('4a2cdfb1067c9e1ce86cc632803e86e7133e63a79c7124afa5c514b6fa2a1e056316bb29d66a6d16ec976899ab7218b79572ae8673df2566b4a7b0d6238e8551'
+
'e0e3637aae332c9c9ba0546597685b0368cb569f6d5a0ce2e792e1c204dc787b88d8f149fd0a3fba12527fa3048e41ba8605c3215df5062e6988f22fc5caabc8'
+
'7db5d621f3099bc5455f1faeb7f4c3575a9cf70153ba56a6efc6d67d0ef2ac5438f6e117e621c5ef35c239eb3bce3fe17ce160e6b7765e8203d67a7299085429')
+
+prepare() {
+ cd "${srcdir}/${_pkgname}-${pkgver}"
+
+ # fix building with ffmpeg4.4 by manually setup include and lib dir
+ # and remove other codes to find ffmpeg exe, as ffmpeg4.4 are only headers
and libs without ffmpeg cmd
+ sed -e 's#ffmpeg_include_dir = os.path.join(ffmpeg_root,
"include")#ffmpeg_include_dir = "/usr/include/ffmpeg4.4"#' \
+ -e 's#ffmpeg_library_dir = os.path.join(ffmpeg_root,
"lib")#ffmpeg_library_dir = "/usr/lib/ffmpeg4.4"#' \
+ -e 's#has_ffmpeg = ffmpeg_exe is not None#has_ffmpeg = True#' \
+ -e '/ffmpeg_exe/d' \
+ -e '/ffmpeg_bin/d' \
+ -e '/ffmpeg_root/d' \
+ -i setup.py
+
+ cp -a "${srcdir}/${_pkgname}-${pkgver}"
"${srcdir}/${_pkgname}-cuda-${pkgver}"
+ cp -a "${srcdir}/${_pkgname}-${pkgver}"
"${srcdir}/python-${_pkgname}-${pkgver}"
+ # need this to disable CUDA
+ cd "${srcdir}/python-${_pkgname}-${pkgver}"
+ sed -e 's#torch.cuda.is_available()#False#' -i setup.py
+ cp -a "${srcdir}/${_pkgname}-${pkgver}"
"${srcdir}/python-${_pkgname}-cuda-${pkgver}"
+}
+
+build() {
+ # build torchvision
+ cd "${srcdir}/${_pkgname}-${pkgver}"
+ rm -rf build
+ mkdir build
+ cd build
+
+ cmake "../" \
+ -DCMAKE_INSTALL_PREFIX=/usr \
+ -DCMAKE_BUILD_TYPE=None \
+ -DCMAKE_CXX_FLAGS="${CXXFLAGS} -O3" \
+ -DCMAKE_SHARED_LINKER_FLAGS="${LDFLAGS}" \
+ -DWITH_CUDA=OFF
+ make
+
+
+ # build torchvision-cuda
+ cd "${srcdir}/${_pkgname}-cuda-${pkgver}"
+ rm -rf build
+ mkdir build
+ cd build
+
+ cmake "../" \
+ -DCMAKE_INSTALL_PREFIX=/usr \
+ -DCMAKE_BUILD_TYPE=None \
+ -DCMAKE_CXX_FLAGS="${CXXFLAGS} -O3" \
+ -DCMAKE_SHARED_LINKER_FLAGS="${LDFLAGS}" \
+ -DWITH_CUDA=ON \
+ -DTORCH_CUDA_ARCH_LIST="${_CUDA_ARCH_LIST}" \
+ -DCUDA_ARCH_LIST="${_CUDA_ARCH_LIST}" \
+ -DCMAKE_CUDA_ARCHITECTURES="${_CUDA_ARCH_LIST_CMAKE}"
+ make
+
+
+ # build python-torchvision
+ cd "${srcdir}/python-${_pkgname}-${pkgver}"
+ WITH_CUDA=0 \
+ FORCE_CUDA=0 \
+ TORCHVISION_USE_NVJPEG=0 \
+ python setup.py build
+
+
+ # build python-torchvision-cuda
+ cd "${srcdir}/python-${_pkgname}-cuda-${pkgver}"
+ TORCHVISION_INCLUDE=${srcdir} \
+ TORCHVISION_LIBRARY=/usr/lib \
+ FORCE_CUDA=1 \
+ TORCH_CUDA_ARCH_LIST=${_CUDA_ARCH_LIST} \
+ python setup.py build
+}
+
+check() {
+ local python_version=$(python -c 'import sys; print("".join(map(str,
sys.version_info[:2])))')
+ # check if VideoReader is build
+ # VideoReader depends on ffmpeg
+ cd "${srcdir}/python-${_pkgname}-${pkgver}"
+ PYTHONPATH="${PWD}/build/lib.linux-${CARCH}-cpython-${python_version}" \
+ python -c "from torchvision.io import VideoReader"
+
+ cd "${srcdir}/python-${_pkgname}-cuda-${pkgver}"
+ PYTHONPATH="${PWD}/build/lib.linux-${CARCH}-cpython-${python_version}" \
+ python -c "from torchvision.io import VideoReader"
+}
+
+package_python-torchvision() {
+ depends+=('python-pytorch')
+
+ cd "${srcdir}/python-${_pkgname}-${pkgver}"
+ python setup.py install --root="${pkgdir}" --optimize=1 --skip-build
+ install -Dm644 LICENSE -t "${pkgdir}/usr/share/licenses/${pkgname}"
+}
+
+package_python-torchvision-cuda() {
+ pkgdesc='Datasets, transforms, and models specific to computer vision (with
GPU support)'
+ depends+=('python-pytorch-cuda')
+ provides+=('python-torchvision')
+ conflicts+=('python-torchvision')
+
+ cd "${srcdir}/python-${_pkgname}-cuda-${pkgver}"
+ TORCHVISION_INCLUDE=${srcdir} \
+ TORCHVISION_LIBRARY=/usr/lib \
+ FORCE_CUDA=1 \
+ TORCH_CUDA_ARCH_LIST=${_CUDA_ARCH_LIST} \
+ python setup.py install --root="${pkgdir}" --optimize=1 --skip-build
+ install -Dm644 LICENSE -t "${pkgdir}/usr/share/licenses/${pkgname}"
+}
+
+package_torchvision() {
+ pkgdesc='Datasets, transforms, and models specific to computer vision (C++
library only)'
+ depends+=('python-pytorch-cuda')
+
+ cd "${srcdir}/${_pkgname}-${pkgver}"
+ make -C build install DESTDIR="$pkgdir"
+ install -m644 -Dt "$pkgdir/usr/share/licenses/$pkgname" LICENSE
+}
+package_torchvision-cuda() {
+ pkgdesc='Datasets, transforms, and models specific to computer vision (C++
library only with GPU support)'
+ depends+=('python-pytorch-cuda')
+ provides+=('torchvision')
+ conflicts+=('torchvision')
+
+ cd "${srcdir}/${_pkgname}-cuda-${pkgver}"
+ make -C build install DESTDIR="$pkgdir"
+ install -m644 -Dt "$pkgdir/usr/share/licenses/$pkgname" LICENSE
+}
+
+# vim:set ts=2 sw=2 et:
