429 lines
19 KiB
Python
429 lines
19 KiB
Python
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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import os
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import sys
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from spack import *
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class PyTorch(PythonPackage, CudaPackage):
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"""Tensors and Dynamic neural networks in Python
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with strong GPU acceleration."""
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homepage = "https://pytorch.org/"
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git = "https://github.com/pytorch/pytorch.git"
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maintainers = ['adamjstewart']
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# Exact set of modules is version- and variant-specific, just attempt to import the
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# core libraries to ensure that the package was successfully installed.
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import_modules = ['torch', 'torch.autograd', 'torch.nn', 'torch.utils']
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version('master', branch='master', submodules=True)
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version('1.9.0', tag='v1.9.0', submodules=True)
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version('1.8.1', tag='v1.8.1', submodules=True)
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version('1.8.0', tag='v1.8.0', submodules=True)
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version('1.7.1', tag='v1.7.1', submodules=True)
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version('1.7.0', tag='v1.7.0', submodules=True)
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version('1.6.0', tag='v1.6.0', submodules=True)
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version('1.5.1', tag='v1.5.1', submodules=True)
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version('1.5.0', tag='v1.5.0', submodules=True)
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version('1.4.1', tag='v1.4.1', submodules=True)
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version('1.4.0', tag='v1.4.0', submodules=True, deprecated=True,
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submodules_delete=['third_party/fbgemm'])
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version('1.3.1', tag='v1.3.1', submodules=True)
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version('1.3.0', tag='v1.3.0', submodules=True)
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version('1.2.0', tag='v1.2.0', submodules=True)
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version('1.1.0', tag='v1.1.0', submodules=True)
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version('1.0.1', tag='v1.0.1', submodules=True)
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version('1.0.0', tag='v1.0.0', submodules=True)
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version('0.4.1', tag='v0.4.1', submodules=True, deprecated=True,
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submodules_delete=['third_party/nervanagpu'])
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version('0.4.0', tag='v0.4.0', submodules=True, deprecated=True)
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version('0.3.1', tag='v0.3.1', submodules=True, deprecated=True)
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is_darwin = sys.platform == 'darwin'
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# All options are defined in CMakeLists.txt.
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# Some are listed in setup.py, but not all.
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variant('caffe2', default=True, description='Build Caffe2')
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variant('cuda', default=not is_darwin, description='Use CUDA')
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variant('rocm', default=False, description='Use ROCm')
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variant('cudnn', default=not is_darwin, description='Use cuDNN')
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variant('fbgemm', default=True, description='Use FBGEMM (quantized 8-bit server operators)')
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variant('kineto', default=True, description='Use Kineto profiling library')
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variant('magma', default=not is_darwin, description='Use MAGMA')
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variant('metal', default=is_darwin, description='Use Metal for Caffe2 iOS build')
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variant('nccl', default=not is_darwin, description='Use NCCL')
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variant('nnpack', default=True, description='Use NNPACK')
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variant('numa', default=not is_darwin, description='Use NUMA')
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variant('numpy', default=True, description='Use NumPy')
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variant('openmp', default=True, description='Use OpenMP for parallel code')
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variant('qnnpack', default=True, description='Use QNNPACK (quantized 8-bit operators)')
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variant('valgrind', default=not is_darwin, description='Use Valgrind')
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variant('xnnpack', default=True, description='Use XNNPACK')
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variant('mkldnn', default=True, description='Use MKLDNN')
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variant('distributed', default=not is_darwin, description='Use distributed')
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variant('mpi', default=not is_darwin, description='Use MPI for Caffe2')
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variant('gloo', default=not is_darwin, description='Use Gloo')
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variant('tensorpipe', default=not is_darwin, description='Use TensorPipe')
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variant('onnx_ml', default=True, description='Enable traditional ONNX ML API')
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conflicts('+cuda', when='+rocm')
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conflicts('+cudnn', when='~cuda')
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conflicts('+magma', when='~cuda')
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conflicts('+nccl', when='~cuda~rocm')
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conflicts('+nccl', when='platform=darwin')
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conflicts('+numa', when='platform=darwin', msg='Only available on Linux')
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conflicts('+valgrind', when='platform=darwin', msg='Only available on Linux')
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conflicts('+mpi', when='~distributed')
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conflicts('+gloo', when='~distributed')
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conflicts('+tensorpipe', when='~distributed')
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conflicts('+kineto', when='@:1.7.999')
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conflicts('+valgrind', when='@:1.7.999')
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conflicts('~caffe2', when='@0.4.0:1.6.999') # no way to disable caffe2?
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conflicts('+caffe2', when='@:0.3.1') # caffe2 did not yet exist?
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conflicts('+tensorpipe', when='@:1.5.999')
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conflicts('+xnnpack', when='@:1.4.999')
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conflicts('~onnx_ml', when='@:1.4.999') # no way to disable ONNX?
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conflicts('+rocm', when='@:0.4.999')
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conflicts('+cudnn', when='@:0.4.999')
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conflicts('+fbgemm', when='@:0.4.999,1.4.0')
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conflicts('+qnnpack', when='@:0.4.999')
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conflicts('+mkldnn', when='@:0.4.999')
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conflicts('cuda_arch=none', when='+cuda',
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msg='Must specify CUDA compute capabilities of your GPU, see '
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'https://developer.nvidia.com/cuda-gpus')
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# Required dependencies
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depends_on('cmake@3.5:', type='build')
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# Use Ninja generator to speed up build times, automatically used if found
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depends_on('ninja@1.5:', when='@1.1.0:', type='build')
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# See python_min_version in setup.py
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depends_on('python@3.6.2:', when='@1.7.1:', type=('build', 'link', 'run'))
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depends_on('python@3.6.1:', when='@1.6.0:1.7.0', type=('build', 'link', 'run'))
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depends_on('python@3.5:', when='@1.5.0:1.5.999', type=('build', 'link', 'run'))
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depends_on('python@2.7:2.8,3.5:', when='@1.4.0:1.4.999', type=('build', 'link', 'run'))
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depends_on('python@2.7:2.8,3.5:3.7.999', when='@:1.3.999', type=('build', 'link', 'run'))
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depends_on('py-setuptools', type=('build', 'run'))
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depends_on('py-future', when='@1.5:', type=('build', 'run'))
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depends_on('py-future', when='@1.1: ^python@:2', type=('build', 'run'))
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depends_on('py-pyyaml', type=('build', 'run'))
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depends_on('py-typing', when='@0.4: ^python@:3.4', type=('build', 'run'))
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depends_on('py-typing-extensions', when='@1.7:', type=('build', 'run'))
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depends_on('py-pybind11@master', when='@master', type=('build', 'link', 'run'))
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depends_on('py-pybind11@2.6.2', when='@1.8.0:1.9.999', type=('build', 'link', 'run'))
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depends_on('py-pybind11@2.3.0', when='@1.1.0:1.7.999', type=('build', 'link', 'run'))
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depends_on('py-pybind11@2.2.4', when='@1.0.0:1.0.999', type=('build', 'link', 'run'))
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depends_on('py-pybind11@2.2.2', when='@0.4.0:0.4.999', type=('build', 'link', 'run'))
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depends_on('py-dataclasses', when='@1.7: ^python@3.6.0:3.6.999', type=('build', 'run'))
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depends_on('py-tqdm', type='run')
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depends_on('py-protobuf', when='@0.4:', type=('build', 'run'))
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depends_on('protobuf', when='@0.4:')
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depends_on('blas')
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depends_on('lapack')
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depends_on('eigen', when='@0.4:')
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# https://github.com/pytorch/pytorch/issues/60329
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# depends_on('cpuinfo@master', when='@master')
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# depends_on('cpuinfo@2020-12-17', when='@1.8.0:1.9.999')
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# depends_on('cpuinfo@2020-06-11', when='@1.6.0:1.7.999')
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depends_on('sleef@master', when='@master')
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depends_on('sleef@3.5.1_2020-12-22', when='@1.8.0:1.9.999')
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# https://github.com/pytorch/pytorch/issues/60334
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# depends_on('sleef@3.4.0_2019-07-30', when='@1.6.0:1.7.999')
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depends_on('fp16@master', when='@master')
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depends_on('fp16@2020-05-14', when='@1.6.0:1.9.999')
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depends_on('pthreadpool@master', when='@master')
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depends_on('pthreadpool@2021-04-13', when='@1.9.0:1.9.999')
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depends_on('pthreadpool@2020-10-05', when='@1.8.0:1.8.999')
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depends_on('pthreadpool@2020-06-15', when='@1.6.0:1.7.999')
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depends_on('psimd@master', when='@master')
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depends_on('psimd@2020-05-17', when='@1.6.0:1.9.999')
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depends_on('fxdiv@master', when='@master')
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depends_on('fxdiv@2020-04-17', when='@1.6.0:1.9.999')
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depends_on('benchmark', when='@1.6:')
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# Optional dependencies
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depends_on('cuda@7.5:', when='+cuda', type=('build', 'link', 'run'))
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depends_on('cuda@9:', when='@1.1:+cuda', type=('build', 'link', 'run'))
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depends_on('cuda@9.2:', when='@1.6:+cuda', type=('build', 'link', 'run'))
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depends_on('cudnn@6.0:7.999', when='@:1.0.999+cudnn')
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depends_on('cudnn@7.0:7.999', when='@1.1.0:1.5.999+cudnn')
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depends_on('cudnn@7.0:', when='@1.6.0:+cudnn')
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depends_on('magma', when='+magma')
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depends_on('nccl', when='+nccl')
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depends_on('numactl', when='+numa')
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depends_on('py-numpy', when='+numpy', type=('build', 'run'))
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depends_on('llvm-openmp', when='%apple-clang +openmp')
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depends_on('valgrind', when='+valgrind')
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# https://github.com/pytorch/pytorch/issues/60332
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# depends_on('xnnpack@master', when='@master+xnnpack')
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# depends_on('xnnpack@2021-02-22', when='@1.8.0:1.9.999+xnnpack')
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# depends_on('xnnpack@2020-03-23', when='@1.6.0:1.7.999+xnnpack')
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depends_on('mpi', when='+mpi')
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# https://github.com/pytorch/pytorch/issues/60270
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# depends_on('gloo@master', when='@master+gloo')
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# depends_on('gloo@2021-05-04', when='@1.9.0:1.9.999+gloo')
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# depends_on('gloo@2020-09-18', when='@1.7.0:1.8.999+gloo')
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# depends_on('gloo@2020-03-17', when='@1.6.0:1.6.999+gloo')
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# https://github.com/pytorch/pytorch/issues/60331
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# depends_on('onnx@master', when='@master+onnx_ml')
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# depends_on('onnx@1.8.0_2020-11-03', when='@1.8.0:1.9.999+onnx_ml')
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# depends_on('onnx@1.7.0_2020-05-31', when='@1.6.0:1.7.999+onnx_ml')
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depends_on('mkl', when='+mkldnn')
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# Test dependencies
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depends_on('py-hypothesis', type='test')
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depends_on('py-six', type='test')
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depends_on('py-psutil', type='test')
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# Fix BLAS being overridden by MKL
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# https://github.com/pytorch/pytorch/issues/60328
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patch('https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/59220.patch',
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sha256='e37afffe45cf7594c22050109942370e49983ad772d12ebccf508377dc9dcfc9',
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when='@1.2.0:')
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# Fixes build on older systems with glibc <2.12
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patch('https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/55063.patch',
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sha256='e17eaa42f5d7c18bf0d7c37d7b0910127a01ad53fdce3e226a92893356a70395',
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when='@1.1.0:1.8.1')
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# Fixes CMake configuration error when XNNPACK is disabled
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# https://github.com/pytorch/pytorch/pull/35607
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# https://github.com/pytorch/pytorch/pull/37865
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patch('xnnpack.patch', when='@1.5.0:1.5.999')
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# Fixes build error when ROCm is enabled for pytorch-1.5 release
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patch('rocm.patch', when='@1.5.0:1.5.999+rocm')
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# Fixes fatal error: sleef.h: No such file or directory
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# https://github.com/pytorch/pytorch/pull/35359
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# https://github.com/pytorch/pytorch/issues/26555
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patch('sleef.patch', when='@1.0.0:1.5.999')
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# Fixes compilation with Clang 9.0.0 and Apple Clang 11.0.3
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# https://github.com/pytorch/pytorch/pull/37086
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patch('https://github.com/pytorch/pytorch/commit/e921cd222a8fbeabf5a3e74e83e0d8dfb01aa8b5.patch',
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sha256='17561b16cd2db22f10c0fe1fdcb428aecb0ac3964ba022a41343a6bb8cba7049',
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when='@1.1:1.5')
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# Removes duplicate definition of getCusparseErrorString
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# https://github.com/pytorch/pytorch/issues/32083
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patch('cusparseGetErrorString.patch', when='@0.4.1:1.0.999^cuda@10.1.243:')
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# Fixes 'FindOpenMP.cmake'
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# to detect openmp settings used by Fujitsu compiler.
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patch('detect_omp_of_fujitsu_compiler.patch', when='%fj')
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# Both build and install run cmake/make/make install
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# Only run once to speed up build times
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phases = ['install']
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@property
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def libs(self):
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root = join_path(self.prefix, self.spec['python'].package.site_packages_dir,
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'torch', 'lib')
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return find_libraries('libtorch', root)
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@property
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def headers(self):
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root = join_path(self.prefix, self.spec['python'].package.site_packages_dir,
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'torch', 'include')
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headers = find_all_headers(root)
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headers.directories = [root]
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return headers
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@when('@1.5.0:')
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def patch(self):
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# https://github.com/pytorch/pytorch/issues/52208
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filter_file('torch_global_deps PROPERTIES LINKER_LANGUAGE C',
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'torch_global_deps PROPERTIES LINKER_LANGUAGE CXX',
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'caffe2/CMakeLists.txt')
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def setup_build_environment(self, env):
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"""Set environment variables used to control the build.
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PyTorch's ``setup.py`` is a thin wrapper around ``cmake``.
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In ``tools/setup_helpers/cmake.py``, you can see that all
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environment variables that start with ``BUILD_``, ``USE_``,
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or ``CMAKE_``, plus a few more explicitly specified variable
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names, are passed directly to the ``cmake`` call. Therefore,
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most flags defined in ``CMakeLists.txt`` can be specified as
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environment variables.
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"""
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def enable_or_disable(variant, keyword='USE', var=None, newer=False):
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"""Set environment variable to enable or disable support for a
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particular variant.
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Parameters:
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variant (str): the variant to check
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keyword (str): the prefix to use for enabling/disabling
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var (str): CMake variable to set. Defaults to variant.upper()
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newer (bool): newer variants that never used NO_*
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"""
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if var is None:
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var = variant.upper()
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# Version 1.1.0 switched from NO_* to USE_* or BUILD_*
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# But some newer variants have always used USE_* or BUILD_*
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if self.spec.satisfies('@1.1:') or newer:
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if '+' + variant in self.spec:
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env.set(keyword + '_' + var, 'ON')
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else:
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env.set(keyword + '_' + var, 'OFF')
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else:
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if '+' + variant in self.spec:
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env.unset('NO_' + var)
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else:
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env.set('NO_' + var, 'ON')
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# Build in parallel to speed up build times
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env.set('MAX_JOBS', make_jobs)
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# Spack logs have trouble handling colored output
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env.set('COLORIZE_OUTPUT', 'OFF')
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if self.spec.satisfies('@1.7:'):
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enable_or_disable('caffe2', keyword='BUILD')
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enable_or_disable('cuda')
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if '+cuda' in self.spec:
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# cmake/public/cuda.cmake
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# cmake/Modules_CUDA_fix/upstream/FindCUDA.cmake
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env.unset('CUDA_ROOT')
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torch_cuda_arch = ';'.join('{0:.1f}'.format(float(i) / 10.0) for i
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in
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self.spec.variants['cuda_arch'].value)
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env.set('TORCH_CUDA_ARCH_LIST', torch_cuda_arch)
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enable_or_disable('rocm')
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enable_or_disable('cudnn')
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if '+cudnn' in self.spec:
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# cmake/Modules_CUDA_fix/FindCUDNN.cmake
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env.set('CUDNN_INCLUDE_DIR', self.spec['cudnn'].prefix.include)
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env.set('CUDNN_LIBRARY', self.spec['cudnn'].libs[0])
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enable_or_disable('fbgemm')
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if self.spec.satisfies('@1.8:'):
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enable_or_disable('kineto')
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enable_or_disable('magma')
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enable_or_disable('metal')
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enable_or_disable('nccl')
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if '+nccl' in self.spec:
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env.set('NCCL_LIB_DIR', self.spec['nccl'].libs.directories[0])
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env.set('NCCL_INCLUDE_DIR', self.spec['nccl'].prefix.include)
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# cmake/External/nnpack.cmake
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enable_or_disable('nnpack')
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enable_or_disable('numa')
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if '+numa' in self.spec:
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# cmake/Modules/FindNuma.cmake
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env.set('NUMA_ROOT_DIR', self.spec['numactl'].prefix)
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# cmake/Modules/FindNumPy.cmake
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enable_or_disable('numpy')
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# cmake/Modules/FindOpenMP.cmake
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enable_or_disable('openmp', newer=True)
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enable_or_disable('qnnpack')
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if self.spec.satisfies('@1.3:'):
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enable_or_disable('qnnpack', var='PYTORCH_QNNPACK')
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if self.spec.satisfies('@1.8:'):
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enable_or_disable('valgrind')
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if self.spec.satisfies('@1.5:'):
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enable_or_disable('xnnpack')
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enable_or_disable('mkldnn')
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enable_or_disable('distributed')
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enable_or_disable('mpi')
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# cmake/Modules/FindGloo.cmake
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enable_or_disable('gloo', newer=True)
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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
|
|
# Options defined in cmake/Dependencies.cmake and cmake/Modules/FindBLAS.cmake
|
|
if self.spec['blas'].name == 'atlas':
|
|
env.set('BLAS', 'ATLAS')
|
|
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')
|
|
env.set('WITH_BLAS', 'open')
|
|
elif self.spec['blas'].name == 'veclibfort':
|
|
env.set('BLAS', 'vecLib')
|
|
env.set('WITH_BLAS', 'veclib')
|
|
else:
|
|
env.set('BLAS', 'Generic')
|
|
env.set('WITH_BLAS', 'generic')
|
|
|
|
# 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):
|
|
if '+rocm' in self.spec:
|
|
python(os.path.join('tools', 'amd_build', 'build_amd.py'))
|
|
|
|
@run_after('install')
|
|
@on_package_attributes(run_tests=True)
|
|
def install_test(self):
|
|
with working_dir('test'):
|
|
python('run_test.py')
|
|
|
|
# Tests need to be re-added since `phases` was overridden
|
|
run_after('install')(
|
|
PythonPackage._run_default_install_time_test_callbacks)
|
|
run_after('install')(PythonPackage.sanity_check_prefix)
|