
- [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
136 lines
5.1 KiB
Python
136 lines
5.1 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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class PyDgl(CMakePackage):
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"""Deep Graph Library (DGL).
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DGL is an easy-to-use, high performance and scalable Python package for
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deep learning on graphs. DGL is framework agnostic, meaning if a deep graph
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model is a component of an end-to-end application, the rest of the logics
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can be implemented in any major frameworks, such as PyTorch, Apache MXNet
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or TensorFlow."""
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homepage = "https://www.dgl.ai/"
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git = "https://github.com/dmlc/dgl.git"
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maintainers = ['adamjstewart']
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version('master', branch='master', submodules=True)
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version('0.4.3', tag='0.4.3', submodules=True)
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version('0.4.2', tag='0.4.2', submodules=True)
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variant('cuda', default=True, description='Build with CUDA')
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variant('openmp', default=True, description='Build with OpenMP')
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variant('backend', default='pytorch', description='Default backend',
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values=['pytorch', 'mxnet', 'tensorflow'], multi=False)
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depends_on('cmake@3.5:', type='build')
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depends_on('cuda', when='+cuda')
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depends_on('llvm-openmp', when='%apple-clang +openmp')
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# Python dependencies
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# See python/setup.py
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extends('python')
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depends_on('python@3.5:', type=('build', 'run'))
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depends_on('py-setuptools', type='build')
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depends_on('py-cython', type='build')
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depends_on('py-numpy@1.14.0:', type=('build', 'run'))
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depends_on('py-scipy@1.1.0:', type=('build', 'run'))
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depends_on('py-networkx@2.1:', type=('build', 'run'))
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depends_on('py-requests@2.19.0:', when='@0.4.3:', type=('build', 'run'))
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# Backends
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# See https://github.com/dmlc/dgl#installation
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depends_on('py-torch@1.2.0:', when='@0.4.3: backend=pytorch', type='run')
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depends_on('py-torch@0.4.1:', when='backend=pytorch', type='run')
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depends_on('mxnet@1.5.1:', when='@0.4.3: backend=pytorch', type='run')
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depends_on('mxnet@1.5.0:', when='backend=mxnet', type='run')
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depends_on('py-tensorflow@2.1:', when='@0.4.3: backend=tensorflow', type='run')
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depends_on('py-tensorflow@2.0:', when='backend=tensorflow', type='run')
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depends_on('py-tfdlpack', when='backend=tensorflow', type='run')
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build_directory = 'build'
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# https://docs.dgl.ai/install/index.html#install-from-source
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def cmake_args(self):
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args = []
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if '+cuda' in self.spec:
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args.append('-DUSE_CUDA=ON')
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else:
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args.append('-DUSE_CUDA=OFF')
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if '+openmp' in self.spec:
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args.append('-DUSE_OPENMP=ON')
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if self.spec.satisfies('%apple-clang'):
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args.extend([
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'-DOpenMP_CXX_FLAGS=' +
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self.spec['llvm-openmp'].headers.include_flags,
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'-DOpenMP_CXX_LIB_NAMES=' +
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self.spec['llvm-openmp'].libs.names[0],
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'-DOpenMP_C_FLAGS=' +
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self.spec['llvm-openmp'].headers.include_flags,
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'-DOpenMP_C_LIB_NAMES=' +
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self.spec['llvm-openmp'].libs.names[0],
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'-DOpenMP_omp_LIBRARY=' +
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self.spec['llvm-openmp'].libs[0],
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])
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else:
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args.append('-DUSE_OPENMP=OFF')
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if self.run_tests:
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args.append('-DBUILD_CPP_TEST=ON')
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else:
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args.append('-DBUILD_CPP_TEST=OFF')
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return args
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def install(self, spec, prefix):
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with working_dir('python'):
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setup_py('install', '--prefix=' + prefix,
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'--single-version-externally-managed', '--root=/')
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# Work around installation bug: https://github.com/dmlc/dgl/issues/1379
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install_tree(prefix.dgl, prefix.lib)
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def setup_run_environment(self, env):
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# https://docs.dgl.ai/install/backend.html
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backend = self.spec.variants['backend'].value
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env.set('DGLBACKEND', backend)
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@property
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def import_modules(self):
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modules = [
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'dgl', 'dgl.nn', 'dgl.runtime', 'dgl.backend', 'dgl.function',
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'dgl.contrib', 'dgl._ffi', 'dgl.data', 'dgl.runtime.ir',
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'dgl.backend.numpy', 'dgl.contrib.sampling', 'dgl._ffi._cy2',
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'dgl._ffi._cy3', 'dgl._ffi._ctypes',
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]
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if 'backend=pytorch' in self.spec:
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modules.extend([
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'dgl.nn.pytorch', 'dgl.nn.pytorch.conv', 'dgl.backend.pytorch'
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])
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elif 'backend=mxnet' in self.spec:
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modules.extend([
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'dgl.nn.mxnet', 'dgl.nn.mxnet.conv', 'dgl.backend.mxnet'
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])
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elif 'backend=tensorflow' in self.spec:
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modules.extend([
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'dgl.nn.tensorflow', 'dgl.nn.tensorflow.conv',
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'dgl.backend.tensorflow'
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])
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return modules
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@run_after('install')
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@on_package_attributes(run_tests=True)
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def import_module_test(self):
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with working_dir('spack-test', create=True):
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for module in self.import_modules:
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python('-c', 'import {0}'.format(module))
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