py-dgl: add new package (#15594)

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Adam J. Stewart 2020-03-20 13:42:24 -04:00 committed by GitHub
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# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
class PyDgl(CMakePackage):
"""Deep Graph Library (DGL).
DGL is an easy-to-use, high performance and scalable Python package for
deep learning on graphs. DGL is framework agnostic, meaning if a deep graph
model is a component of an end-to-end application, the rest of the logics
can be implemented in any major frameworks, such as PyTorch, Apache MXNet
or TensorFlow."""
homepage = "https://www.dgl.ai/"
git = "https://github.com/dmlc/dgl.git"
maintainers = ['adamjstewart']
version('master', branch='master', submodules=True)
version('0.4.2', tag='0.4.2', submodules=True)
variant('cuda', default=True, description='Build with CUDA')
variant('openmp', default=True, description='Build with OpenMP')
variant('backend', default='pytorch', description='Default backend',
values=['pytorch', 'mxnet', 'tensorflow'], multi=False)
depends_on('cmake@3.5:', type='build')
depends_on('cuda', when='+cuda')
depends_on('llvm-openmp', when='%clang platform=darwin +openmp')
# Python dependencies
extends('python')
depends_on('python@3.5:', type=('build', 'run'))
depends_on('py-setuptools', type='build')
depends_on('py-cython', type='build')
depends_on('py-numpy@1.14.0:', type=('build', 'run'))
depends_on('py-scipy@1.1.0:', type=('build', 'run'))
depends_on('py-networkx@2.1:', type=('build', 'run'))
# Backends
depends_on('py-torch@0.4.1:', when='backend=pytorch', type='run')
depends_on('mxnet@1.5:', when='backend=mxnet', type='run')
depends_on('py-tensorflow@2.0:', when='backend=tensorflow', type='run')
depends_on('py-tfdlpack', when='backend=tensorflow', type='run')
build_directory = 'build'
def cmake_args(self):
args = []
if '+cuda' in self.spec:
args.append('-DUSE_CUDA=ON')
else:
args.append('-DUSE_CUDA=OFF')
if '+openmp' in self.spec:
args.append('-DUSE_OPENMP=ON')
if self.spec.satisfies('%clang platform=darwin'):
args.extend([
'-DOpenMP_CXX_FLAGS=' +
self.spec['llvm-openmp'].headers.include_flags,
'-DOpenMP_CXX_LIB_NAMES=' +
self.spec['llvm-openmp'].libs.names[0],
'-DOpenMP_C_FLAGS=' +
self.spec['llvm-openmp'].headers.include_flags,
'-DOpenMP_C_LIB_NAMES=' +
self.spec['llvm-openmp'].libs.names[0],
'-DOpenMP_omp_LIBRARY=' +
self.spec['llvm-openmp'].libs[0],
])
else:
args.append('-DUSE_OPENMP=OFF')
if self.run_tests:
args.append('-DBUILD_CPP_TEST=ON')
else:
args.append('-DBUILD_CPP_TEST=OFF')
return args
def install(self, spec, prefix):
with working_dir('python'):
import os
print('Current dir:', os.getcwd())
setup_py('install', '--prefix=' + prefix,
'--single-version-externally-managed', '--root=/')
def setup_run_environment(self, env):
# https://docs.dgl.ai/install/backend.html
backend = self.spec.variants['backend'].value
env.set('DGLBACKEND', backend)