From 4f9b539644eca96e27a28dd4e391145511f7f42b Mon Sep 17 00:00:00 2001
From: "Adam J. Stewart" <ajstewart426@gmail.com>
Date: Wed, 30 Jun 2021 11:38:53 -0500
Subject: py-torch: overhaul package (#24294)
* py-torch: patch no longer needed on master
* Overhaul PyTorch package
* py-torch: add v1.9.0
* Change defaults on macOS
* Submodules still needed...
* Add ONNX dependency
* System libs don't work for many submodules
* Silence CMake warning
* Add conflict for +cuda+rocm
* Add more deps
* Add more BLAS options
* Disable some broken system libs options
* Add patches to build older versions
* +mkldnn requires mkl
* Fix BLAS settings
---
.../packages/py-torch/cusparseGetErrorString.patch | 53 +++
.../repos/builtin/packages/py-torch/package.py | 376 +++++++++++++--------
.../repos/builtin/packages/py-torch/sleef.patch | 12 +
3 files changed, 299 insertions(+), 142 deletions(-)
create mode 100644 var/spack/repos/builtin/packages/py-torch/cusparseGetErrorString.patch
create mode 100644 var/spack/repos/builtin/packages/py-torch/sleef.patch
diff --git a/var/spack/repos/builtin/packages/py-torch/cusparseGetErrorString.patch b/var/spack/repos/builtin/packages/py-torch/cusparseGetErrorString.patch
new file mode 100644
index 0000000000..9cb136b3f8
--- /dev/null
+++ b/var/spack/repos/builtin/packages/py-torch/cusparseGetErrorString.patch
@@ -0,0 +1,53 @@
+diff --git a/aten/src/ATen/native/sparse/cuda/SparseCUDABlas.cu b/aten/src/ATen/native/sparse/cuda/SparseCUDABlas.cu
+index 1cee04c200..f46003d9a9 100644
+--- a/aten/src/ATen/native/sparse/cuda/SparseCUDABlas.cu
++++ b/aten/src/ATen/native/sparse/cuda/SparseCUDABlas.cu
+@@ -10,48 +10,6 @@
+ namespace at { namespace native { namespace sparse { namespace cuda {
+
+
+-std::string cusparseGetErrorString(cusparseStatus_t status) {
+- switch(status)
+- {
+- case CUSPARSE_STATUS_SUCCESS:
+- return "success";
+-
+- case CUSPARSE_STATUS_NOT_INITIALIZED:
+- return "library not initialized";
+-
+- case CUSPARSE_STATUS_ALLOC_FAILED:
+- return "resource allocation failed";
+-
+- case CUSPARSE_STATUS_INVALID_VALUE:
+- return "an invalid numeric value was used as an argument";
+-
+- case CUSPARSE_STATUS_ARCH_MISMATCH:
+- return "an absent device architectural feature is required";
+-
+- case CUSPARSE_STATUS_MAPPING_ERROR:
+- return "an access to GPU memory space failed";
+-
+- case CUSPARSE_STATUS_EXECUTION_FAILED:
+- return "the GPU program failed to execute";
+-
+- case CUSPARSE_STATUS_INTERNAL_ERROR:
+- return "an internal operation failed";
+-
+- case CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED:
+- return "the matrix type is not supported by this function";
+-
+- case CUSPARSE_STATUS_ZERO_PIVOT:
+- return "an entry of the matrix is either structural zero or numerical zero (singular block)";
+-
+- default:
+- {
+- std::ostringstream oss;
+- oss << "unknown error " << static_cast<int64_t>(status);
+- return oss.str();
+- }
+- }
+-}
+-
+ inline void CUSPARSE_CHECK(cusparseStatus_t status)
+ {
+ if (status != CUSPARSE_STATUS_SUCCESS) {
diff --git a/var/spack/repos/builtin/packages/py-torch/package.py b/var/spack/repos/builtin/packages/py-torch/package.py
index 4115f4baf3..065deb08d2 100644
--- a/var/spack/repos/builtin/packages/py-torch/package.py
+++ b/var/spack/repos/builtin/packages/py-torch/package.py
@@ -3,8 +3,10 @@
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
-from spack import *
import os
+import sys
+
+from spack import *
class PyTorch(PythonPackage, CudaPackage):
@@ -21,6 +23,7 @@ class PyTorch(PythonPackage, CudaPackage):
import_modules = ['torch', 'torch.autograd', 'torch.nn', 'torch.utils']
version('master', branch='master', submodules=True)
+ version('1.9.0', tag='v1.9.0', submodules=True)
version('1.8.1', tag='v1.8.1', submodules=True)
version('1.8.0', tag='v1.8.0', submodules=True)
version('1.7.1', tag='v1.7.1', submodules=True)
@@ -29,7 +32,7 @@ class PyTorch(PythonPackage, CudaPackage):
version('1.5.1', tag='v1.5.1', submodules=True)
version('1.5.0', tag='v1.5.0', submodules=True)
version('1.4.1', tag='v1.4.1', submodules=True)
- version('1.4.0', tag='v1.4.0', submodules=True,
+ version('1.4.0', tag='v1.4.0', submodules=True, deprecated=True,
submodules_delete=['third_party/fbgemm'])
version('1.3.1', tag='v1.3.1', submodules=True)
version('1.3.0', tag='v1.3.0', submodules=True)
@@ -37,142 +40,180 @@ class PyTorch(PythonPackage, CudaPackage):
version('1.1.0', tag='v1.1.0', submodules=True)
version('1.0.1', tag='v1.0.1', submodules=True)
version('1.0.0', tag='v1.0.0', submodules=True)
- version('0.4.1', tag='v0.4.1', submodules=True,
+ version('0.4.1', tag='v0.4.1', submodules=True, deprecated=True,
submodules_delete=['third_party/nervanagpu'])
- version('0.4.0', tag='v0.4.0', submodules=True)
- version('0.3.1', tag='v0.3.1', submodules=True)
-
- variant('cuda', default=True, description='Build with CUDA')
- variant('cudnn', default=True, description='Enables the cuDNN build')
- variant('rocm', default=False, description='Build with ROCm build')
- variant('magma', default=False, description='Enables the MAGMA build')
- variant('fbgemm', default=False, description='Enables the FBGEMM build')
- variant('test', default=False, description='Enables the test build')
- variant('miopen', default=False, description='Enables the MIOpen build')
- variant('mkldnn', default=True, description='Enables use of MKLDNN')
- variant('nnpack', default=False, description='Enables NNPACK build')
- variant('qnnpack', default=False, description='Enables QNNPACK build (quantized 8-bit operators)')
- variant('xnnpack', default=False, description='Enables XNNPACK build')
- variant('distributed', default=False, description='Enables distributed (c10d, gloo, mpi, etc.) build')
- variant('nccl', default=True, description='Use Spack-installed NCCL')
- variant('caffe2', default=False, description='Enables Caffe2 operators build')
- variant('gloo', default=False, description='Enables features related to distributed support')
- variant('opencv', default=False, description='Enables use of OpenCV for additional operators')
- variant('openmp', default=True, description='Enables use of OpenMP for parallelization')
- variant('ffmpeg', default=False, description='Enables use of ffmpeg for additional operators')
- variant('leveldb', default=False, description='Enables use of LevelDB for storage')
- variant('lmdb', default=False, description='Enables use of LMDB for storage')
- variant('binary', default=False, description='Enables the additional binaries/ build')
- variant('redis', default=False, description='Use Redis for distributed workflows')
- variant('zstd', default=False, description='Enables use of ZSTD')
- variant('tbb', default=False, description='Enables TBB support')
-
+ version('0.4.0', tag='v0.4.0', submodules=True, deprecated=True)
+ version('0.3.1', tag='v0.3.1', submodules=True, deprecated=True)
+
+ is_darwin = sys.platform == 'darwin'
+
+ # All options are defined in CMakeLists.txt.
+ # Some are listed in setup.py, but not all.
+ variant('caffe2', default=True, description='Build Caffe2')
+ variant('cuda', default=not is_darwin, description='Use CUDA')
+ variant('rocm', default=False, description='Use ROCm')
+ variant('cudnn', default=not is_darwin, description='Use cuDNN')
+ variant('fbgemm', default=True, description='Use FBGEMM (quantized 8-bit server operators)')
+ variant('kineto', default=True, description='Use Kineto profiling library')
+ variant('magma', default=not is_darwin, description='Use MAGMA')
+ variant('metal', default=is_darwin, description='Use Metal for Caffe2 iOS build')
+ variant('nccl', default=not is_darwin, description='Use NCCL')
+ variant('nnpack', default=True, description='Use NNPACK')
+ variant('numa', default=not is_darwin, description='Use NUMA')
+ variant('numpy', default=True, description='Use NumPy')
+ variant('openmp', default=True, description='Use OpenMP for parallel code')
+ variant('qnnpack', default=True, description='Use QNNPACK (quantized 8-bit operators)')
+ variant('valgrind', default=not is_darwin, description='Use Valgrind')
+ variant('xnnpack', default=True, description='Use XNNPACK')
+ variant('mkldnn', default=True, description='Use MKLDNN')
+ variant('distributed', default=not is_darwin, description='Use distributed')
+ variant('mpi', default=not is_darwin, description='Use MPI for Caffe2')
+ variant('gloo', default=not is_darwin, description='Use Gloo')
+ variant('tensorpipe', default=not is_darwin, description='Use TensorPipe')
+ variant('onnx_ml', default=True, description='Enable traditional ONNX ML API')
+
+ conflicts('+cuda', when='+rocm')
conflicts('+cudnn', when='~cuda')
- conflicts('+magma', when='~cuda')
- conflicts('+fbgemm', when='@:0.4')
- conflicts('+miopen', when='@:0.4')
- conflicts('+mkldnn', when='@:0.3')
- conflicts('+qnnpack', when='@:0.4')
- conflicts('+xnnpack', when='@:1.4')
- conflicts('+nccl', when='~cuda')
- conflicts('+opencv', when='@:0.4')
- conflicts('+ffmpeg', when='@:0.4')
- conflicts('+leveldb', when='@:0.4')
- conflicts('+lmdb', when='@:0.4')
- conflicts('+binary', when='@:0.4')
- conflicts('+redis', when='@:1.0')
- conflicts('+zstd', when='@:1.0')
- conflicts('+tbb', when='@:1.1')
- # https://github.com/pytorch/pytorch/issues/35149
- conflicts('+fbgemm', when='@1.4.0')
+ conflicts('+nccl', when='~cuda~rocm')
+ conflicts('+nccl', when='platform=darwin')
+ conflicts('+numa', when='platform=darwin', msg='Only available on Linux')
+ conflicts('+valgrind', when='platform=darwin', msg='Only available on Linux')
+ conflicts('+mpi', when='~distributed')
+ conflicts('+gloo', when='~distributed')
+ conflicts('+tensorpipe', when='~distributed')
+ conflicts('+kineto', when='@:1.7.999')
+ conflicts('+valgrind', when='@:1.7.999')
+ conflicts('~caffe2', when='@0.4.0:1.6.999') # no way to disable caffe2?
+ conflicts('+caffe2', when='@:0.3.1') # caffe2 did not yet exist?
+ conflicts('+tensorpipe', when='@:1.5.999')
+ conflicts('+xnnpack', when='@:1.4.999')
+ conflicts('~onnx_ml', when='@:1.4.999') # no way to disable ONNX?
+ conflicts('+rocm', when='@:0.4.999')
+ conflicts('+cudnn', when='@:0.4.999')
+ conflicts('+fbgemm', when='@:0.4.999,1.4.0')
+ conflicts('+qnnpack', when='@:0.4.999')
+ conflicts('+mkldnn', when='@:0.4.999')
conflicts('cuda_arch=none', when='+cuda',
msg='Must specify CUDA compute capabilities of your GPU, see '
'https://developer.nvidia.com/cuda-gpus')
- conflicts('+rocm', when='+cuda')
# Required dependencies
depends_on('cmake@3.5:', type='build')
- # Use Ninja generator to speed up build times
- # Automatically used if found
- depends_on('ninja@1.5:', type='build')
+ # Use Ninja generator to speed up build times, automatically used if found
+ depends_on('ninja@1.5:', when='@1.1.0:', type='build')
+ # See python_min_version in setup.py
depends_on('python@3.6.2:', when='@1.7.1:', type=('build', 'link', 'run'))
- depends_on('python@3.6.1:', when='@1.6:', type=('build', 'link', 'run'))
- depends_on('python@3.5:', when='@1.5:', type=('build', 'link', 'run'))
- depends_on('python@2.7:2.8,3.5:', type=('build', 'link', 'run'))
+ depends_on('python@3.6.1:', when='@1.6.0:1.7.0', type=('build', 'link', 'run'))
+ depends_on('python@3.5:', when='@1.5.0:1.5.999', type=('build', 'link', 'run'))
+ depends_on('python@2.7:2.8,3.5:', when='@1.4.0:1.4.999', type=('build', 'link', 'run'))
+ depends_on('python@2.7:2.8,3.5:3.7.999', when='@:1.3.999', type=('build', 'link', 'run'))
depends_on('py-setuptools', type=('build', 'run'))
- depends_on('py-numpy', type=('build', 'run'))
depends_on('py-future', when='@1.5:', type=('build', 'run'))
depends_on('py-future', when='@1.1: ^python@:2', type=('build', 'run'))
depends_on('py-pyyaml', type=('build', 'run'))
depends_on('py-typing', when='@0.4: ^python@:3.4', type=('build', 'run'))
depends_on('py-typing-extensions', when='@1.7:', type=('build', 'run'))
- depends_on('py-pybind11', when='@0.4:', type=('build', 'link', 'run'))
+ depends_on('py-pybind11@master', when='@master', type=('build', 'link', 'run'))
+ depends_on('py-pybind11@2.6.2', when='@1.8.0:1.9.999', type=('build', 'link', 'run'))
+ depends_on('py-pybind11@2.3.0', when='@1.1.0:1.7.999', type=('build', 'link', 'run'))
+ depends_on('py-pybind11@2.2.4', when='@1.0.0:1.0.999', type=('build', 'link', 'run'))
+ depends_on('py-pybind11@2.2.2', when='@0.4.0:0.4.999', type=('build', 'link', 'run'))
depends_on('py-dataclasses', when='@1.7: ^python@3.6.0:3.6.999', type=('build', 'run'))
depends_on('py-tqdm', type='run')
+ depends_on('py-protobuf', when='@0.4:', type=('build', 'run'))
+ depends_on('protobuf', when='@0.4:')
depends_on('blas')
depends_on('lapack')
- depends_on('protobuf', when='@0.4:')
- depends_on('py-protobuf', when='@0.4:', type=('build', 'run'))
depends_on('eigen', when='@0.4:')
- # TODO: replace all third_party packages with Spack packages
+ # https://github.com/pytorch/pytorch/issues/60329
+ # depends_on('cpuinfo@master', when='@master')
+ # depends_on('cpuinfo@2020-12-17', when='@1.8.0:1.9.999')
+ # depends_on('cpuinfo@2020-06-11', when='@1.6.0:1.7.999')
+ depends_on('sleef@master', when='@master')
+ depends_on('sleef@3.5.1_2020-12-22', when='@1.8.0:1.9.999')
+ # https://github.com/pytorch/pytorch/issues/60334
+ # depends_on('sleef@3.4.0_2019-07-30', when='@1.6.0:1.7.999')
+ depends_on('fp16@master', when='@master')
+ depends_on('fp16@2020-05-14', when='@1.6.0:1.9.999')
+ depends_on('pthreadpool@master', when='@master')
+ depends_on('pthreadpool@2021-04-13', when='@1.9.0:1.9.999')
+ depends_on('pthreadpool@2020-10-05', when='@1.8.0:1.8.999')
+ depends_on('pthreadpool@2020-06-15', when='@1.6.0:1.7.999')
+ depends_on('psimd@master', when='@master')
+ depends_on('psimd@2020-05-17', when='@1.6.0:1.9.999')
+ depends_on('fxdiv@master', when='@master')
+ depends_on('fxdiv@2020-04-17', when='@1.6.0:1.9.999')
+ depends_on('benchmark', when='@1.6:')
# Optional dependencies
depends_on('cuda@7.5:', when='+cuda', type=('build', 'link', 'run'))
depends_on('cuda@9:', when='@1.1:+cuda', type=('build', 'link', 'run'))
- depends_on('cudnn@6:', when='+cudnn')
- depends_on('cudnn@7:', when='@1.1:+cudnn')
+ depends_on('cudnn@6.0:7.999', when='@:1.0.999+cudnn')
+ depends_on('cudnn@7.0:7.999', when='@1.1.0:1.5.999+cudnn')
+ depends_on('cudnn@7.0:', when='@1.6.0:+cudnn')
depends_on('magma', when='+magma')
- # TODO: add dependency: https://github.com/pytorch/FBGEMM
- # depends_on('fbgemm', when='+fbgemm')
- # TODO: add dependency: https://github.com/ROCmSoftwarePlatform/MIOpen
- # depends_on('miopen', when='+miopen')
- # TODO: See if there is a way to use an external mkldnn installation.
- # Currently, only older versions of py-torch use an external mkldnn
- # library.
- depends_on('onednn', when='@0.4:0.4.1+mkldnn')
- # TODO: add dependency: https://github.com/Maratyszcza/NNPACK
- # depends_on('nnpack', when='+nnpack')
- depends_on('qnnpack', when='+qnnpack')
- # TODO: add dependency: https://github.com/google/XNNPACK
- # depends_on('xnnpack', when='+xnnpack')
- depends_on('mpi', when='+distributed')
depends_on('nccl', when='+nccl')
- depends_on('gloo', when='+gloo')
- depends_on('opencv', when='+opencv')
+ depends_on('numactl', when='+numa')
+ depends_on('py-numpy', when='+numpy', type=('build', 'run'))
depends_on('llvm-openmp', when='%apple-clang +openmp')
- depends_on('ffmpeg', when='+ffmpeg')
- depends_on('leveldb', when='+leveldb')
- depends_on('lmdb', when='+lmdb')
- depends_on('redis', when='+redis')
- depends_on('zstd', when='+zstd')
- depends_on('tbb', when='+tbb')
+ depends_on('valgrind', when='+valgrind')
+ # https://github.com/pytorch/pytorch/issues/60332
+ # depends_on('xnnpack@master', when='@master+xnnpack')
+ # depends_on('xnnpack@2021-02-22', when='@1.8.0:1.9.999+xnnpack')
+ # depends_on('xnnpack@2020-03-23', when='@1.6.0:1.7.999+xnnpack')
+ depends_on('mpi', when='+mpi')
+ # https://github.com/pytorch/pytorch/issues/60270
+ # depends_on('gloo@master', when='@master+gloo')
+ # depends_on('gloo@2021-05-04', when='@1.9.0:1.9.999+gloo')
+ # depends_on('gloo@2020-09-18', when='@1.7.0:1.8.999+gloo')
+ # depends_on('gloo@2020-03-17', when='@1.6.0:1.6.999+gloo')
+ # https://github.com/pytorch/pytorch/issues/60331
+ # depends_on('onnx@master', when='@master+onnx_ml')
+ # depends_on('onnx@1.8.0_2020-11-03', when='@1.8.0:1.9.999+onnx_ml')
+ # depends_on('onnx@1.7.0_2020-05-31', when='@1.6.0:1.7.999+onnx_ml')
+ depends_on('mkl', when='+mkldnn')
# Test dependencies
depends_on('py-hypothesis', type='test')
depends_on('py-six', type='test')
depends_on('py-psutil', type='test')
+ # Fix BLAS being overridden by MKL
+ # https://github.com/pytorch/pytorch/issues/60328
+ patch('https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/59220.patch',
+ sha256='e37afffe45cf7594c22050109942370e49983ad772d12ebccf508377dc9dcfc9',
+ when='@1.2.0:')
+
# Fixes build on older systems with glibc <2.12
patch('https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/55063.patch',
sha256='e17eaa42f5d7c18bf0d7c37d7b0910127a01ad53fdce3e226a92893356a70395',
- when='@1.1.0:')
+ when='@1.1.0:1.8.1')
+ # Fixes CMake configuration error when XNNPACK is disabled
# https://github.com/pytorch/pytorch/pull/35607
# https://github.com/pytorch/pytorch/pull/37865
- # Fixes CMake configuration error when XNNPACK is disabled
patch('xnnpack.patch', when='@1.5.0:1.5.999')
- # Fixes Build error for when ROCm is enable for pytorch-1.5 release
+ # Fixes build error when ROCm is enabled for pytorch-1.5 release
patch('rocm.patch', when='@1.5.0:1.5.999+rocm')
- # https://github.com/pytorch/pytorch/pull/37086
+ # Fixes fatal error: sleef.h: No such file or directory
+ # https://github.com/pytorch/pytorch/pull/35359
+ # https://github.com/pytorch/pytorch/issues/26555
+ patch('sleef.patch', when='@1.0.0:1.5.999')
+
# Fixes compilation with Clang 9.0.0 and Apple Clang 11.0.3
+ # https://github.com/pytorch/pytorch/pull/37086
patch('https://github.com/pytorch/pytorch/commit/e921cd222a8fbeabf5a3e74e83e0d8dfb01aa8b5.patch',
sha256='17561b16cd2db22f10c0fe1fdcb428aecb0ac3964ba022a41343a6bb8cba7049',
when='@1.1:1.5')
- # Fix for 'FindOpenMP.cmake'
+ # Removes duplicate definition of getCusparseErrorString
+ # https://github.com/pytorch/pytorch/issues/32083
+ patch('cusparseGetErrorString.patch', when='@0.4.1:1.0.999^cuda@10.1.243:')
+
+ # Fixes 'FindOpenMP.cmake'
# to detect openmp settings used by Fujitsu compiler.
patch('detect_omp_of_fujitsu_compiler.patch', when='%fj')
@@ -182,16 +223,12 @@ class PyTorch(PythonPackage, CudaPackage):
@property
def libs(self):
- root = join_path(
- self.prefix, self.spec['python'].package.site_packages_dir,
- 'torch', 'lib')
+ root = join_path(site_packages_dir, 'torch', 'lib')
return find_libraries('libtorch', root)
@property
def headers(self):
- root = join_path(
- self.prefix, self.spec['python'].package.site_packages_dir,
- 'torch', 'include')
+ root = join_path(site_packages_dir, 'torch', 'include')
headers = find_all_headers(root)
headers.directories = [root]
return headers
@@ -204,6 +241,16 @@ class PyTorch(PythonPackage, CudaPackage):
'caffe2/CMakeLists.txt')
def setup_build_environment(self, env):
+ """Set environment variables used to control the build.
+
+ PyTorch's ``setup.py`` is a thin wrapper around ``cmake``.
+ In ``tools/setup_helpers/cmake.py``, you can see that all
+ environment variables that start with ``BUILD_``, ``USE_``,
+ or ``CMAKE_``, plus a few more explicitly specified variable
+ names, are passed directly to the ``cmake`` call. Therefore,
+ most flags defined in ``CMakeLists.txt`` can be specified as
+ environment variables.
+ """
def enable_or_disable(variant, keyword='USE', var=None, newer=False):
"""Set environment variable to enable or disable support for a
particular variant.
@@ -236,84 +283,129 @@ class PyTorch(PythonPackage, CudaPackage):
# Spack logs have trouble handling colored output
env.set('COLORIZE_OUTPUT', 'OFF')
- # Don't use vendored third-party libraries
- env.set('BUILD_CUSTOM_PROTOBUF', 'OFF')
- env.set('USE_PYTORCH_QNNPACK', 'OFF')
- env.set('USE_SYSTEM_EIGEN_INSTALL', 'ON')
- env.set('pybind11_DIR', self.spec['py-pybind11'].prefix)
- env.set('pybind11_INCLUDE_DIR',
- self.spec['py-pybind11'].prefix.include)
+ if self.spec.satisfies('@1.7:'):
+ enable_or_disable('caffe2', keyword='BUILD')
enable_or_disable('cuda')
if '+cuda' in self.spec:
- env.set('CUDA_HOME', self.spec['cuda'].prefix)
+ # cmake/public/cuda.cmake
+ # cmake/Modules_CUDA_fix/upstream/FindCUDA.cmake
+ env.unset('CUDA_ROOT')
torch_cuda_arch = ';'.join('{0:.1f}'.format(float(i) / 10.0) for i
in
self.spec.variants['cuda_arch'].value)
env.set('TORCH_CUDA_ARCH_LIST', torch_cuda_arch)
+ enable_or_disable('rocm')
+
enable_or_disable('cudnn')
if '+cudnn' in self.spec:
- env.set('CUDNN_LIB_DIR', self.spec['cudnn'].libs.directories[0])
+ # cmake/Modules_CUDA_fix/FindCUDNN.cmake
env.set('CUDNN_INCLUDE_DIR', self.spec['cudnn'].prefix.include)
env.set('CUDNN_LIBRARY', self.spec['cudnn'].libs[0])
enable_or_disable('fbgemm')
- enable_or_disable('test', keyword='BUILD')
- enable_or_disable('rocm')
- if '+rocm' in self.spec:
- env.set('USE_MKLDNN', 0)
- if '+miopen' in self.spec:
- env.set('MIOPEN_LIB_DIR', self.spec['miopen'].libs.directories[0])
- env.set('MIOPEN_INCLUDE_DIR', self.spec['miopen'].prefix.include)
- env.set('MIOPEN_LIBRARY', self.spec['miopen'].libs[0])
-
- enable_or_disable('mkldnn')
- if '@0.4:0.4.1+mkldnn' in self.spec:
- env.set('MKLDNN_HOME', self.spec['onednn'].prefix)
-
- enable_or_disable('nnpack')
- enable_or_disable('qnnpack')
- enable_or_disable('xnnpack')
- enable_or_disable('distributed')
+ if self.spec.satisfies('@1.8:'):
+ enable_or_disable('kineto')
+ enable_or_disable('magma')
+ enable_or_disable('metal')
enable_or_disable('nccl')
- enable_or_disable('nccl', var='SYSTEM_NCCL')
if '+nccl' in self.spec:
- env.set('NCCL_ROOT', self.spec['nccl'].prefix)
env.set('NCCL_LIB_DIR', self.spec['nccl'].libs.directories[0])
env.set('NCCL_INCLUDE_DIR', self.spec['nccl'].prefix.include)
- enable_or_disable('caffe2', keyword='BUILD', var='CAFFE2_OPS')
- enable_or_disable('gloo', newer=True)
- enable_or_disable('opencv', newer=True)
+ # cmake/External/nnpack.cmake
+ enable_or_disable('nnpack')
+
+ enable_or_disable('numa')
+ if '+numa' in self.spec:
+ # cmake/Modules/FindNuma.cmake
+ env.set('NUMA_ROOT_DIR', self.spec['numactl'].prefix)
+
+ # cmake/Modules/FindNumPy.cmake
+ enable_or_disable('numpy')
+ # cmake/Modules/FindOpenMP.cmake
enable_or_disable('openmp', newer=True)
- enable_or_disable('ffmpeg', newer=True)
- enable_or_disable('leveldb', newer=True)
- enable_or_disable('lmdb', newer=True)
- enable_or_disable('binary', keyword='BUILD', newer=True)
+ enable_or_disable('qnnpack')
+ if self.spec.satisfies('@1.3:'):
+ enable_or_disable('qnnpack', var='PYTORCH_QNNPACK')
+ if self.spec.satisfies('@1.8:'):
+ enable_or_disable('valgrind')
+ if self.spec.satisfies('@1.5:'):
+ enable_or_disable('xnnpack')
+ enable_or_disable('mkldnn')
+ enable_or_disable('distributed')
+ enable_or_disable('mpi')
+ # cmake/Modules/FindGloo.cmake
+ enable_or_disable('gloo', newer=True)
+ if self.spec.satisfies('@1.6:'):
+ enable_or_disable('tensorpipe')
+
+ if '+onnx_ml' in self.spec:
+ env.set('ONNX_ML', 'ON')
+ else:
+ env.set('ONNX_ML', 'OFF')
if not self.spec.satisfies('@master'):
env.set('PYTORCH_BUILD_VERSION', self.version)
env.set('PYTORCH_BUILD_NUMBER', 0)
# BLAS to be used by Caffe2
- if '^mkl' in self.spec:
- env.set('BLAS', 'MKL')
- elif '^atlas' in self.spec:
+ # Options defined in cmake/Dependencies.cmake and cmake/Modules/FindBLAS.cmake
+ if self.spec['blas'].name == 'atlas':
env.set('BLAS', 'ATLAS')
- elif '^openblas' in self.spec:
+ env.set('WITH_BLAS', 'atlas')
+ elif self.spec['blas'].name in ['blis', 'amdblis']:
+ env.set('BLAS', 'BLIS')
+ env.set('WITH_BLAS', 'blis')
+ elif self.spec['blas'].name == 'eigen':
+ env.set('BLAS', 'Eigen')
+ elif self.spec['lapack'].name in ['libflame', 'amdlibflame']:
+ env.set('BLAS', 'FLAME')
+ env.set('WITH_BLAS', 'FLAME')
+ elif self.spec['blas'].name in [
+ 'intel-mkl', 'intel-parallel-studio', 'intel-oneapi-mkl']:
+ env.set('BLAS', 'MKL')
+ env.set('WITH_BLAS', 'mkl')
+ elif self.spec['blas'].name == 'openblas':
env.set('BLAS', 'OpenBLAS')
- elif '^veclibfort' in self.spec:
+ env.set('WITH_BLAS', 'open')
+ elif self.spec['blas'].name == 'veclibfort':
env.set('BLAS', 'vecLib')
- elif '^libflame' in self.spec:
- env.set('BLAS', 'FLAME')
- elif '^eigen' in self.spec:
- env.set('BLAS', 'Eigen')
+ env.set('WITH_BLAS', 'veclib')
+ else:
+ env.set('BLAS', 'Generic')
+ env.set('WITH_BLAS', 'generic')
- enable_or_disable('redis', newer=True)
- enable_or_disable('zstd', newer=True)
- enable_or_disable('tbb', newer=True)
+ # Don't use vendored third-party libraries when possible
+ env.set('BUILD_CUSTOM_PROTOBUF', 'OFF')
+ env.set('USE_SYSTEM_NCCL', 'ON')
+ env.set('USE_SYSTEM_EIGEN_INSTALL', 'ON')
+ if self.spec.satisfies('@0.4:'):
+ env.set('pybind11_DIR', self.spec['py-pybind11'].prefix)
+ env.set('pybind11_INCLUDE_DIR',
+ self.spec['py-pybind11'].prefix.include)
+ if self.spec.satisfies('@1.10:'):
+ env.set('USE_SYSTEM_PYBIND11', 'ON')
+ # https://github.com/pytorch/pytorch/issues/60334
+ if self.spec.satisfies('@1.8:'):
+ env.set('USE_SYSTEM_SLEEF', 'ON')
+ if self.spec.satisfies('@1.6:'):
+ # env.set('USE_SYSTEM_LIBS', 'ON')
+ # https://github.com/pytorch/pytorch/issues/60329
+ # env.set('USE_SYSTEM_CPUINFO', 'ON')
+ # https://github.com/pytorch/pytorch/issues/60270
+ # env.set('USE_SYSTEM_GLOO', 'ON')
+ env.set('USE_SYSTEM_FP16', 'ON')
+ env.set('USE_SYSTEM_PTHREADPOOL', 'ON')
+ env.set('USE_SYSTEM_PSIMD', 'ON')
+ env.set('USE_SYSTEM_FXDIV', 'ON')
+ env.set('USE_SYSTEM_BENCHMARK', 'ON')
+ # https://github.com/pytorch/pytorch/issues/60331
+ # env.set('USE_SYSTEM_ONNX', 'ON')
+ # https://github.com/pytorch/pytorch/issues/60332
+ # env.set('USE_SYSTEM_XNNPACK', 'ON')
@run_before('install')
def build_amd(self):
diff --git a/var/spack/repos/builtin/packages/py-torch/sleef.patch b/var/spack/repos/builtin/packages/py-torch/sleef.patch
new file mode 100644
index 0000000000..67f0234162
--- /dev/null
+++ b/var/spack/repos/builtin/packages/py-torch/sleef.patch
@@ -0,0 +1,12 @@
+diff --git a/caffe2/CMakeLists.txt b/caffe2/CMakeLists.txt
+index 8025a7de3c..2e5cdbb5c9 100644
+--- a/caffe2/CMakeLists.txt
++++ b/caffe2/CMakeLists.txt
+@@ -1232,6 +1232,7 @@ if (BUILD_TEST)
+ add_executable(${test_name} "${test_src}")
+ target_link_libraries(${test_name} ${Caffe2_MAIN_LIBS} gtest_main)
+ target_include_directories(${test_name} PRIVATE $<INSTALL_INTERFACE:include>)
++ target_include_directories(${test_name} PRIVATE $<BUILD_INTERFACE:${CMAKE_BINARY_DIR}/include>)
+ target_include_directories(${test_name} PRIVATE ${Caffe2_CPU_INCLUDE})
+ add_test(NAME ${test_name} COMMAND $<TARGET_FILE:${test_name}>)
+ if (INSTALL_TEST)
--
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