spack/var/spack/repos/builtin/packages/py-dgl/package.py
Todd Gamblin a8ccb8e116 copyrights: update all files with license headers for 2021
- [x] add `concretize.lp`, `spack.yaml`, etc. to licensed files
- [x] update all licensed files to say 2013-2021 using
      `spack license update-copyright-year`
- [x] appease mypy with some additions to package.py that needed
      for oneapi.py
2021-01-02 12:12:00 -08:00

136 lines
5.1 KiB
Python

# Copyright 2013-2021 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('0.4.3', tag='0.4.3', 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='%apple-clang +openmp')
# Python dependencies
# See python/setup.py
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'))
depends_on('py-requests@2.19.0:', when='@0.4.3:', type=('build', 'run'))
# Backends
# See https://github.com/dmlc/dgl#installation
depends_on('py-torch@1.2.0:', when='@0.4.3: backend=pytorch', type='run')
depends_on('py-torch@0.4.1:', when='backend=pytorch', type='run')
depends_on('mxnet@1.5.1:', when='@0.4.3: backend=pytorch', type='run')
depends_on('mxnet@1.5.0:', when='backend=mxnet', type='run')
depends_on('py-tensorflow@2.1:', when='@0.4.3: backend=tensorflow', 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'
# https://docs.dgl.ai/install/index.html#install-from-source
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('%apple-clang'):
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'):
setup_py('install', '--prefix=' + prefix,
'--single-version-externally-managed', '--root=/')
# Work around installation bug: https://github.com/dmlc/dgl/issues/1379
install_tree(prefix.dgl, prefix.lib)
def setup_run_environment(self, env):
# https://docs.dgl.ai/install/backend.html
backend = self.spec.variants['backend'].value
env.set('DGLBACKEND', backend)
@property
def import_modules(self):
modules = [
'dgl', 'dgl.nn', 'dgl.runtime', 'dgl.backend', 'dgl.function',
'dgl.contrib', 'dgl._ffi', 'dgl.data', 'dgl.runtime.ir',
'dgl.backend.numpy', 'dgl.contrib.sampling', 'dgl._ffi._cy2',
'dgl._ffi._cy3', 'dgl._ffi._ctypes',
]
if 'backend=pytorch' in self.spec:
modules.extend([
'dgl.nn.pytorch', 'dgl.nn.pytorch.conv', 'dgl.backend.pytorch'
])
elif 'backend=mxnet' in self.spec:
modules.extend([
'dgl.nn.mxnet', 'dgl.nn.mxnet.conv', 'dgl.backend.mxnet'
])
elif 'backend=tensorflow' in self.spec:
modules.extend([
'dgl.nn.tensorflow', 'dgl.nn.tensorflow.conv',
'dgl.backend.tensorflow'
])
return modules
@run_after('install')
@on_package_attributes(run_tests=True)
def import_module_test(self):
with working_dir('spack-test', create=True):
for module in self.import_modules:
python('-c', 'import {0}'.format(module))