[arch-commits] Commit in python-pytorch/repos/community-x86_64 (8 files)
Sven-Hendrik Haase
svenstaro at archlinux.org
Thu Mar 19 16:46:35 UTC 2020
Date: Thursday, March 19, 2020 @ 16:46:30
Author: svenstaro
Revision: 600936
archrelease: copy trunk to community-x86_64
Added:
python-pytorch/repos/community-x86_64/PKGBUILD
(from rev 600935, python-pytorch/trunk/PKGBUILD)
python-pytorch/repos/community-x86_64/fix_include_system.patch
(from rev 600935, python-pytorch/trunk/fix_include_system.patch)
python-pytorch/repos/community-x86_64/nccl_version.patch
(from rev 600935, python-pytorch/trunk/nccl_version.patch)
python-pytorch/repos/community-x86_64/torch_cuda_api.patch
(from rev 600935, python-pytorch/trunk/torch_cuda_api.patch)
Deleted:
python-pytorch/repos/community-x86_64/PKGBUILD
python-pytorch/repos/community-x86_64/fix_include_system.patch
python-pytorch/repos/community-x86_64/nccl_version.patch
python-pytorch/repos/community-x86_64/torch_cuda_api.patch
--------------------------+
PKGBUILD | 378 ++++++++++++++++++++++-----------------------
fix_include_system.patch | 22 +-
nccl_version.patch | 92 +++++-----
torch_cuda_api.patch | 26 +--
4 files changed, 259 insertions(+), 259 deletions(-)
Deleted: PKGBUILD
===================================================================
--- PKGBUILD 2020-03-19 16:46:13 UTC (rev 600935)
+++ PKGBUILD 2020-03-19 16:46:30 UTC (rev 600936)
@@ -1,189 +0,0 @@
-# Maintainer: Sven-Hendrik Haase <svenstaro at gmail.com>
-# Contributor: Stephen Zhang <zsrkmyn at gmail dot com>
-
-pkgbase=python-pytorch
-pkgname=("python-pytorch" "python-pytorch-opt" "python-pytorch-cuda" "python-pytorch-opt-cuda")
-_pkgname="pytorch"
-pkgver=1.4.0
-pkgrel=6
-pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-arch=('x86_64')
-url="https://pytorch.org"
-license=('BSD')
-depends=('google-glog' 'gflags' 'opencv' 'openmp' 'nccl' 'pybind11' 'python' 'python-yaml'
- 'python-numpy' 'protobuf' 'ffmpeg' 'python-future' 'qt5-base' 'intel-dnnl' 'intel-mkl')
-makedepends=('python' 'python-setuptools' 'python-yaml' 'python-numpy' 'cmake' 'cuda'
- 'cudnn' 'git' 'magma' 'ninja' 'pkgconfig' 'doxygen')
-source=("${_pkgname}-${pkgver}::git+https://github.com/pytorch/pytorch.git#tag=v$pkgver"
- fix_include_system.patch
- nccl_version.patch
- torch_cuda_api.patch
- https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/30332.patch
- https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/30333.patch)
-sha256sums=('SKIP'
- '147bdaeac8ec46ea46382e6146878bd8f8d51e05d5bd6f930dfd8e2b520859b9'
- '1a276bd827a0c76dab908cbc6605fa4c9fc2cc2b9431b6578a41133ae27dba2b'
- '8965f003f5812c5ab1bd27ab66d916560ea4a644364727b9755dc0dea752ad77'
- '3170551116798dc496636a87f00b86c6463895bb6d174df616c5224adfb74ff3'
- 'c8c305c892be85c47872ae1f1ecd5b3b8af12876fbfe3641045c8c839e5126da')
-
-get_pyver () {
- python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))'
-}
-
-prepare() {
- cd "${_pkgname}-${pkgver}"
-
- # This is the lazy way since pytorch has sooo many submodules and they keep
- # changing them around but we've run into more problems so far doing it the
- # manual than the lazy way. This lazy way (not explicitly specifying all
- # submodules) will make building inefficient but for now I'll take it.
- # It will result in the same package, don't worry.
- git submodule update --init --recursive
-
- # https://github.com/pytorch/pytorch/issues/26555
- sed -i 's#^ ${CMAKE_CURRENT_SOURCE_DIR}/tensor_iterator_test.cpp##g' aten/src/ATen/test/CMakeLists.txt
-
- # https://bugs.archlinux.org/task/64981
- patch -N torch/utils/cpp_extension.py "${srcdir}"/fix_include_system.patch
-
- # FindNCCL patch to export correct nccl version
- patch -Np1 -i "${srcdir}"/nccl_version.patch
-
- # correctly export torch cuda api for nccl runtime error
- patch -Np1 -i "${srcdir}"/torch_cuda_api.patch
-
- # https://github.com/pytorch/pytorch/issues/32277
- patch -Np1 -i "$srcdir"/30332.patch
- patch -Np1 -i "$srcdir"/30333.patch
-
- # remove local nccl
- rm -rf third_party/nccl/nccl
-
- cd ..
-
- cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-opt"
- cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-cuda"
- cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-opt-cuda"
-
- export VERBOSE=1
- export PYTORCH_BUILD_VERSION="${pkgver}"
- export PYTORCH_BUILD_NUMBER=1
-
- # Check tools/setup_helpers/cmake.py, setup.py and CMakeLists.txt for a list of flags that can be set via env vars.
- export USE_MKLDNN=ON
- # export BUILD_CUSTOM_PROTOBUF=OFF
- # export BUILD_SHARED_LIBS=OFF
- export USE_FFMPEG=ON
- export USE_GFLAGS=ON
- export USE_GLOG=ON
- export BUILD_BINARY=ON
- export USE_OPENCV=ON
- export USE_SYSTEM_NCCL=ON
- export NCCL_VERSION=$(pkg-config nccl --modversion)
- export NCCL_VER_CODE=$(sed -n 's/^#define NCCL_VERSION_CODE\s*\(.*\).*/\1/p' /usr/include/nccl.h)
- export CUDAHOSTCXX=g++-8
- export CUDA_HOME=/opt/cuda
- export CUDNN_LIB_DIR=/usr/lib
- export CUDNN_INCLUDE_DIR=/usr/include
- export TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
- export TORCH_CUDA_ARCH_LIST="3.2;3.5;3.7;5.0;5.2;5.3;6.0;6.0+PTX;6.1;6.1+PTX;6.2;6.2+PTX;7.0;7.0+PTX;7.2;7.2+PTX;7.5;7.5+PTX"
-}
-
-build() {
- echo "Building without cuda and without non-x86-64 optimizations"
- export USE_CUDA=0
- export USE_CUDNN=0
- cd "${srcdir}/${_pkgname}-${pkgver}"
- python setup.py build
-
-
- echo "Building without cuda and with non-x86-64 optimizations"
- export USE_CUDA=0
- export USE_CUDNN=0
- cd "${srcdir}/${_pkgname}-${pkgver}-opt"
- echo "add_definitions(-march=haswell)" >> cmake/MiscCheck.cmake
- python setup.py build
-
-
- echo "Building with cuda and without non-x86-64 optimizations"
- export USE_CUDA=1
- export USE_CUDNN=1
- cd "${srcdir}/${_pkgname}-${pkgver}-cuda"
- python setup.py build
-
-
- echo "Building with cuda and with non-x86-64 optimizations"
- export USE_CUDA=1
- export USE_CUDNN=1
- cd "${srcdir}/${_pkgname}-${pkgver}-opt-cuda"
- echo "add_definitions(-march=haswell)" >> cmake/MiscCheck.cmake
- python setup.py build
-}
-
-_package() {
- # Prevent setup.py from re-running CMake and rebuilding
- sed -e 's/RUN_BUILD_DEPS = True/RUN_BUILD_DEPS = False/g' -i setup.py
-
- python setup.py install --root="${pkgdir}"/ --optimize=1 --skip-build
-
- install -Dm644 LICENSE "${pkgdir}/usr/share/licenses/${pkgname}/LICENSE"
-
- pytorchpath="usr/lib/python$(get_pyver)/site-packages/torch"
- install -d "${pkgdir}/usr/lib"
-
- # put CMake files in correct place
- mv "${pkgdir}/${pytorchpath}/share/cmake" "${pkgdir}/usr/lib/cmake"
-
- # put C++ API in correct place
- mv "${pkgdir}/${pytorchpath}/include" "${pkgdir}/usr/include"
- mv "${pkgdir}/${pytorchpath}/lib"/*.so* "${pkgdir}/usr/lib/"
-
- # clean up duplicates
- # TODO: move towards direct shared library dependecy of:
- # c10, caffe2, libcpuinfo, CUDA RT, gloo, GTest, Intel MKL,
- # NVRTC, ONNX, protobuf, libthreadpool, QNNPACK
- rm -rf "${pkgdir}/usr/include/pybind11"
-
- # python module is hardcoded to look there at runtime
- ln -s /usr/include "${pkgdir}/${pytorchpath}/include"
- find "${pkgdir}"/usr/lib -type f -name "*.so*" -print0 | while read -rd $'\0' _lib; do
- ln -s ${_lib#"$pkgdir"} "${pkgdir}/${pytorchpath}/lib/"
- done
-}
-
-package_python-pytorch() {
- cd "${srcdir}/${_pkgname}-${pkgver}"
- _package
-}
-
-package_python-pytorch-opt() {
- pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CPU optimizations)"
- conflicts=(python-pytorch)
- provides=(python-pytorch)
-
- cd "${srcdir}/${_pkgname}-${pkgver}-opt"
- _package
-}
-
-package_python-pytorch-cuda() {
- pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA)"
- depends+=(cuda cudnn magma)
- conflicts=(python-pytorch)
- provides=(python-pytorch)
-
- cd "${srcdir}/${_pkgname}-${pkgver}-cuda"
- _package
-}
-
-package_python-pytorch-opt-cuda() {
- pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and CPU optimizations)"
- depends+=(cuda cudnn magma)
- conflicts=(python-pytorch)
- provides=(python-pytorch python-pytorch-cuda)
-
- cd "${srcdir}/${_pkgname}-${pkgver}-opt-cuda"
- _package
-}
-
-# vim:set ts=2 sw=2 et:
Copied: python-pytorch/repos/community-x86_64/PKGBUILD (from rev 600935, python-pytorch/trunk/PKGBUILD)
===================================================================
--- PKGBUILD (rev 0)
+++ PKGBUILD 2020-03-19 16:46:30 UTC (rev 600936)
@@ -0,0 +1,189 @@
+# Maintainer: Sven-Hendrik Haase <svenstaro at gmail.com>
+# Contributor: Stephen Zhang <zsrkmyn at gmail dot com>
+
+pkgbase=python-pytorch
+pkgname=("python-pytorch" "python-pytorch-opt" "python-pytorch-cuda" "python-pytorch-opt-cuda")
+_pkgname="pytorch"
+pkgver=1.4.0
+pkgrel=7
+pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+arch=('x86_64')
+url="https://pytorch.org"
+license=('BSD')
+depends=('google-glog' 'gflags' 'opencv' 'openmp' 'nccl' 'pybind11' 'python' 'python-yaml'
+ 'python-numpy' 'protobuf' 'ffmpeg' 'python-future' 'qt5-base' 'intel-dnnl' 'intel-mkl')
+makedepends=('python' 'python-setuptools' 'python-yaml' 'python-numpy' 'cmake' 'cuda'
+ 'cudnn' 'git' 'magma' 'ninja' 'pkgconfig' 'doxygen')
+source=("${_pkgname}-${pkgver}::git+https://github.com/pytorch/pytorch.git#tag=v$pkgver"
+ fix_include_system.patch
+ nccl_version.patch
+ torch_cuda_api.patch
+ https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/30332.patch
+ https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/30333.patch)
+sha256sums=('SKIP'
+ '147bdaeac8ec46ea46382e6146878bd8f8d51e05d5bd6f930dfd8e2b520859b9'
+ '1a276bd827a0c76dab908cbc6605fa4c9fc2cc2b9431b6578a41133ae27dba2b'
+ '8965f003f5812c5ab1bd27ab66d916560ea4a644364727b9755dc0dea752ad77'
+ '3170551116798dc496636a87f00b86c6463895bb6d174df616c5224adfb74ff3'
+ 'c8c305c892be85c47872ae1f1ecd5b3b8af12876fbfe3641045c8c839e5126da')
+
+get_pyver () {
+ python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))'
+}
+
+prepare() {
+ cd "${_pkgname}-${pkgver}"
+
+ # This is the lazy way since pytorch has sooo many submodules and they keep
+ # changing them around but we've run into more problems so far doing it the
+ # manual than the lazy way. This lazy way (not explicitly specifying all
+ # submodules) will make building inefficient but for now I'll take it.
+ # It will result in the same package, don't worry.
+ git submodule update --init --recursive
+
+ # https://github.com/pytorch/pytorch/issues/26555
+ sed -i 's#^ ${CMAKE_CURRENT_SOURCE_DIR}/tensor_iterator_test.cpp##g' aten/src/ATen/test/CMakeLists.txt
+
+ # https://bugs.archlinux.org/task/64981
+ patch -N torch/utils/cpp_extension.py "${srcdir}"/fix_include_system.patch
+
+ # FindNCCL patch to export correct nccl version
+ patch -Np1 -i "${srcdir}"/nccl_version.patch
+
+ # correctly export torch cuda api for nccl runtime error
+ patch -Np1 -i "${srcdir}"/torch_cuda_api.patch
+
+ # https://github.com/pytorch/pytorch/issues/32277
+ patch -Np1 -i "$srcdir"/30332.patch
+ patch -Np1 -i "$srcdir"/30333.patch
+
+ # remove local nccl
+ rm -rf third_party/nccl/nccl
+
+ cd ..
+
+ cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-opt"
+ cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-cuda"
+ cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-opt-cuda"
+
+ export VERBOSE=1
+ export PYTORCH_BUILD_VERSION="${pkgver}"
+ export PYTORCH_BUILD_NUMBER=1
+
+ # Check tools/setup_helpers/cmake.py, setup.py and CMakeLists.txt for a list of flags that can be set via env vars.
+ export USE_MKLDNN=ON
+ # export BUILD_CUSTOM_PROTOBUF=OFF
+ # export BUILD_SHARED_LIBS=OFF
+ export USE_FFMPEG=ON
+ export USE_GFLAGS=ON
+ export USE_GLOG=ON
+ export BUILD_BINARY=ON
+ export USE_OPENCV=ON
+ export USE_SYSTEM_NCCL=ON
+ export NCCL_VERSION=$(pkg-config nccl --modversion)
+ export NCCL_VER_CODE=$(sed -n 's/^#define NCCL_VERSION_CODE\s*\(.*\).*/\1/p' /usr/include/nccl.h)
+ export CUDAHOSTCXX=g++-8
+ export CUDA_HOME=/opt/cuda
+ export CUDNN_LIB_DIR=/usr/lib
+ export CUDNN_INCLUDE_DIR=/usr/include
+ export TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
+ export TORCH_CUDA_ARCH_LIST="3.2;3.5;3.7;5.0;5.2;5.3;6.0;6.0+PTX;6.1;6.1+PTX;6.2;6.2+PTX;7.0;7.0+PTX;7.2;7.2+PTX;7.5;7.5+PTX"
+}
+
+build() {
+ echo "Building without cuda and without non-x86-64 optimizations"
+ export USE_CUDA=0
+ export USE_CUDNN=0
+ cd "${srcdir}/${_pkgname}-${pkgver}"
+ python setup.py build
+
+
+ echo "Building without cuda and with non-x86-64 optimizations"
+ export USE_CUDA=0
+ export USE_CUDNN=0
+ cd "${srcdir}/${_pkgname}-${pkgver}-opt"
+ echo "add_definitions(-march=haswell)" >> cmake/MiscCheck.cmake
+ python setup.py build
+
+
+ echo "Building with cuda and without non-x86-64 optimizations"
+ export USE_CUDA=1
+ export USE_CUDNN=1
+ cd "${srcdir}/${_pkgname}-${pkgver}-cuda"
+ python setup.py build
+
+
+ echo "Building with cuda and with non-x86-64 optimizations"
+ export USE_CUDA=1
+ export USE_CUDNN=1
+ cd "${srcdir}/${_pkgname}-${pkgver}-opt-cuda"
+ echo "add_definitions(-march=haswell)" >> cmake/MiscCheck.cmake
+ python setup.py build
+}
+
+_package() {
+ # Prevent setup.py from re-running CMake and rebuilding
+ sed -e 's/RUN_BUILD_DEPS = True/RUN_BUILD_DEPS = False/g' -i setup.py
+
+ python setup.py install --root="${pkgdir}"/ --optimize=1 --skip-build
+
+ install -Dm644 LICENSE "${pkgdir}/usr/share/licenses/${pkgname}/LICENSE"
+
+ pytorchpath="usr/lib/python$(get_pyver)/site-packages/torch"
+ install -d "${pkgdir}/usr/lib"
+
+ # put CMake files in correct place
+ mv "${pkgdir}/${pytorchpath}/share/cmake" "${pkgdir}/usr/lib/cmake"
+
+ # put C++ API in correct place
+ mv "${pkgdir}/${pytorchpath}/include" "${pkgdir}/usr/include"
+ mv "${pkgdir}/${pytorchpath}/lib"/*.so* "${pkgdir}/usr/lib/"
+
+ # clean up duplicates
+ # TODO: move towards direct shared library dependecy of:
+ # c10, caffe2, libcpuinfo, CUDA RT, gloo, GTest, Intel MKL,
+ # NVRTC, ONNX, protobuf, libthreadpool, QNNPACK
+ rm -rf "${pkgdir}/usr/include/pybind11"
+
+ # python module is hardcoded to look there at runtime
+ ln -s /usr/include "${pkgdir}/${pytorchpath}/include"
+ find "${pkgdir}"/usr/lib -type f -name "*.so*" -print0 | while read -rd $'\0' _lib; do
+ ln -s ${_lib#"$pkgdir"} "${pkgdir}/${pytorchpath}/lib/"
+ done
+}
+
+package_python-pytorch() {
+ cd "${srcdir}/${_pkgname}-${pkgver}"
+ _package
+}
+
+package_python-pytorch-opt() {
+ pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CPU optimizations)"
+ conflicts=(python-pytorch)
+ provides=(python-pytorch)
+
+ cd "${srcdir}/${_pkgname}-${pkgver}-opt"
+ _package
+}
+
+package_python-pytorch-cuda() {
+ pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA)"
+ depends+=(cuda cudnn magma)
+ conflicts=(python-pytorch)
+ provides=(python-pytorch)
+
+ cd "${srcdir}/${_pkgname}-${pkgver}-cuda"
+ _package
+}
+
+package_python-pytorch-opt-cuda() {
+ pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and CPU optimizations)"
+ depends+=(cuda cudnn magma)
+ conflicts=(python-pytorch)
+ provides=(python-pytorch python-pytorch-cuda)
+
+ cd "${srcdir}/${_pkgname}-${pkgver}-opt-cuda"
+ _package
+}
+
+# vim:set ts=2 sw=2 et:
Deleted: fix_include_system.patch
===================================================================
--- fix_include_system.patch 2020-03-19 16:46:13 UTC (rev 600935)
+++ fix_include_system.patch 2020-03-19 16:46:30 UTC (rev 600936)
@@ -1,11 +0,0 @@
---- a/utils/cpp_extension.py 2019-12-29 12:59:36.083692770 -0300
-+++ b/utils/cpp_extension.py 2020-01-08 09:52:16.435316701 -0300
-@@ -1098,7 +1098,7 @@
- if BUILD_NAMEDTENSOR:
- common_cflags.append('-DBUILD_NAMEDTENSOR')
- common_cflags += ['-I{}'.format(include) for include in user_includes]
-- common_cflags += ['-isystem {}'.format(include) for include in system_includes]
-+ common_cflags += ['-I{}'.format(include) for include in system_includes]
-
- common_cflags += ['-D_GLIBCXX_USE_CXX11_ABI=' + str(int(torch._C._GLIBCXX_USE_CXX11_ABI))]
-
Copied: python-pytorch/repos/community-x86_64/fix_include_system.patch (from rev 600935, python-pytorch/trunk/fix_include_system.patch)
===================================================================
--- fix_include_system.patch (rev 0)
+++ fix_include_system.patch 2020-03-19 16:46:30 UTC (rev 600936)
@@ -0,0 +1,11 @@
+--- a/utils/cpp_extension.py 2019-12-29 12:59:36.083692770 -0300
++++ b/utils/cpp_extension.py 2020-01-08 09:52:16.435316701 -0300
+@@ -1098,7 +1098,7 @@
+ if BUILD_NAMEDTENSOR:
+ common_cflags.append('-DBUILD_NAMEDTENSOR')
+ common_cflags += ['-I{}'.format(include) for include in user_includes]
+- common_cflags += ['-isystem {}'.format(include) for include in system_includes]
++ common_cflags += ['-I{}'.format(include) for include in system_includes]
+
+ common_cflags += ['-D_GLIBCXX_USE_CXX11_ABI=' + str(int(torch._C._GLIBCXX_USE_CXX11_ABI))]
+
Deleted: nccl_version.patch
===================================================================
--- nccl_version.patch 2020-03-19 16:46:13 UTC (rev 600935)
+++ nccl_version.patch 2020-03-19 16:46:30 UTC (rev 600936)
@@ -1,46 +0,0 @@
-diff --git a/cmake/Modules/FindNCCL.cmake b/cmake/Modules/FindNCCL.cmake
-index 5bd3ccd606..f92eda98f5 100644
---- a/cmake/Modules/FindNCCL.cmake
-+++ b/cmake/Modules/FindNCCL.cmake
-@@ -48,37 +48,39 @@ find_library(NCCL_LIBRARIES
-
- include(FindPackageHandleStandardArgs)
- find_package_handle_standard_args(NCCL DEFAULT_MSG NCCL_INCLUDE_DIRS NCCL_LIBRARIES)
-
- if(NCCL_FOUND) # obtaining NCCL version and some sanity checks
- set (NCCL_HEADER_FILE "${NCCL_INCLUDE_DIRS}/nccl.h")
- message (STATUS "Determining NCCL version from ${NCCL_HEADER_FILE}...")
- set (OLD_CMAKE_REQUIRED_INCLUDES ${CMAKE_REQUIRED_INCLUDES})
- list (APPEND CMAKE_REQUIRED_INCLUDES ${NCCL_INCLUDE_DIRS})
- include(CheckCXXSymbolExists)
-- check_cxx_symbol_exists(NCCL_VERSION_CODE nccl.h NCCL_VERSION_DEFINED)
-+ set(NCCL_VERSION_CODE $ENV{NCCL_VER_CODE})
-+ set(NCCL_VERSION_DEFINED $ENV{NCCL_VER_CODE})
-
-- if (NCCL_VERSION_DEFINED)
-+ if (DEFINED NCCL_VERSION_DEFINED)
- set(file "${PROJECT_BINARY_DIR}/detect_nccl_version.cc")
- file(WRITE ${file} "
- #include <iostream>
- #include <nccl.h>
- int main()
- {
- std::cout << NCCL_MAJOR << '.' << NCCL_MINOR << '.' << NCCL_PATCH << std::endl;
-
- int x;
- ncclGetVersion(&x);
- return x == NCCL_VERSION_CODE;
- }
- ")
- try_run(NCCL_VERSION_MATCHED compile_result ${PROJECT_BINARY_DIR} ${file}
-+ CMAKE_FLAGS -DINCLUDE_DIRECTORIES=/opt/cuda/include
- RUN_OUTPUT_VARIABLE NCCL_VERSION_FROM_HEADER
- LINK_LIBRARIES ${NCCL_LIBRARIES})
- if (NOT NCCL_VERSION_MATCHED)
- message(FATAL_ERROR "Found NCCL header version and library version do not match! \
- (include: ${NCCL_INCLUDE_DIRS}, library: ${NCCL_LIBRARIES}) Please set NCCL_INCLUDE_DIR and NCCL_LIB_DIR manually.")
- endif()
- message(STATUS "NCCL version: ${NCCL_VERSION_FROM_HEADER}")
- else()
- message(STATUS "NCCL version < 2.3.5-5")
- endif ()
Copied: python-pytorch/repos/community-x86_64/nccl_version.patch (from rev 600935, python-pytorch/trunk/nccl_version.patch)
===================================================================
--- nccl_version.patch (rev 0)
+++ nccl_version.patch 2020-03-19 16:46:30 UTC (rev 600936)
@@ -0,0 +1,46 @@
+diff --git a/cmake/Modules/FindNCCL.cmake b/cmake/Modules/FindNCCL.cmake
+index 5bd3ccd606..f92eda98f5 100644
+--- a/cmake/Modules/FindNCCL.cmake
++++ b/cmake/Modules/FindNCCL.cmake
+@@ -48,37 +48,39 @@ find_library(NCCL_LIBRARIES
+
+ include(FindPackageHandleStandardArgs)
+ find_package_handle_standard_args(NCCL DEFAULT_MSG NCCL_INCLUDE_DIRS NCCL_LIBRARIES)
+
+ if(NCCL_FOUND) # obtaining NCCL version and some sanity checks
+ set (NCCL_HEADER_FILE "${NCCL_INCLUDE_DIRS}/nccl.h")
+ message (STATUS "Determining NCCL version from ${NCCL_HEADER_FILE}...")
+ set (OLD_CMAKE_REQUIRED_INCLUDES ${CMAKE_REQUIRED_INCLUDES})
+ list (APPEND CMAKE_REQUIRED_INCLUDES ${NCCL_INCLUDE_DIRS})
+ include(CheckCXXSymbolExists)
+- check_cxx_symbol_exists(NCCL_VERSION_CODE nccl.h NCCL_VERSION_DEFINED)
++ set(NCCL_VERSION_CODE $ENV{NCCL_VER_CODE})
++ set(NCCL_VERSION_DEFINED $ENV{NCCL_VER_CODE})
+
+- if (NCCL_VERSION_DEFINED)
++ if (DEFINED NCCL_VERSION_DEFINED)
+ set(file "${PROJECT_BINARY_DIR}/detect_nccl_version.cc")
+ file(WRITE ${file} "
+ #include <iostream>
+ #include <nccl.h>
+ int main()
+ {
+ std::cout << NCCL_MAJOR << '.' << NCCL_MINOR << '.' << NCCL_PATCH << std::endl;
+
+ int x;
+ ncclGetVersion(&x);
+ return x == NCCL_VERSION_CODE;
+ }
+ ")
+ try_run(NCCL_VERSION_MATCHED compile_result ${PROJECT_BINARY_DIR} ${file}
++ CMAKE_FLAGS -DINCLUDE_DIRECTORIES=/opt/cuda/include
+ RUN_OUTPUT_VARIABLE NCCL_VERSION_FROM_HEADER
+ LINK_LIBRARIES ${NCCL_LIBRARIES})
+ if (NOT NCCL_VERSION_MATCHED)
+ message(FATAL_ERROR "Found NCCL header version and library version do not match! \
+ (include: ${NCCL_INCLUDE_DIRS}, library: ${NCCL_LIBRARIES}) Please set NCCL_INCLUDE_DIR and NCCL_LIB_DIR manually.")
+ endif()
+ message(STATUS "NCCL version: ${NCCL_VERSION_FROM_HEADER}")
+ else()
+ message(STATUS "NCCL version < 2.3.5-5")
+ endif ()
Deleted: torch_cuda_api.patch
===================================================================
--- torch_cuda_api.patch 2020-03-19 16:46:13 UTC (rev 600935)
+++ torch_cuda_api.patch 2020-03-19 16:46:30 UTC (rev 600936)
@@ -1,13 +0,0 @@
-diff --git a/torch/csrc/cuda/nccl.h b/torch/csrc/cuda/nccl.h
-index 9f276f76fa..8a9062e857 100644
---- a/torch/csrc/cuda/nccl.h
-+++ b/torch/csrc/cuda/nccl.h
-@@ -19,7 +21,7 @@ namespace nccl {
- // Don't use them outside of these files.
- namespace detail {
-
--void throw_nccl_error(ncclResult_t status);
-+TORCH_CUDA_API void throw_nccl_error(ncclResult_t status);
-
- static inline void NCCL_CHECK(ncclResult_t status) {
- if (status != ncclSuccess) {
Copied: python-pytorch/repos/community-x86_64/torch_cuda_api.patch (from rev 600935, python-pytorch/trunk/torch_cuda_api.patch)
===================================================================
--- torch_cuda_api.patch (rev 0)
+++ torch_cuda_api.patch 2020-03-19 16:46:30 UTC (rev 600936)
@@ -0,0 +1,13 @@
+diff --git a/torch/csrc/cuda/nccl.h b/torch/csrc/cuda/nccl.h
+index 9f276f76fa..8a9062e857 100644
+--- a/torch/csrc/cuda/nccl.h
++++ b/torch/csrc/cuda/nccl.h
+@@ -19,7 +21,7 @@ namespace nccl {
+ // Don't use them outside of these files.
+ namespace detail {
+
+-void throw_nccl_error(ncclResult_t status);
++TORCH_CUDA_API void throw_nccl_error(ncclResult_t status);
+
+ static inline void NCCL_CHECK(ncclResult_t status) {
+ if (status != ncclSuccess) {
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