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# Copyright 2013-2019 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 PyHorovod(PythonPackage):
"""Horovod is a distributed deep learning training framework for
TensorFlow, Keras, PyTorch, and Apache MXNet."""
homepage = "https://github.com/horovod"
git = "https://github.com/horovod/horovod.git"
maintainers = ['adamjstewart']
version('master', branch='master', submodules=True)
version('0.19.3', tag='v0.19.3', submodules=True)
version('0.19.2', tag='v0.19.2', submodules=True)
version('0.19.1', tag='v0.19.1', submodules=True)
version('0.19.0', tag='v0.19.0', submodules=True)
version('0.18.2', tag='v0.18.2', submodules=True)
version('0.18.1', tag='v0.18.1', submodules=True)
version('0.18.0', tag='v0.18.0', submodules=True)
version('0.17.1', tag='v0.17.1', submodules=True)
version('0.17.0', tag='v0.17.0', submodules=True)
version('0.16.4', tag='v0.16.4', submodules=True)
version('0.16.3', tag='v0.16.3', submodules=True)
version('0.16.2', tag='v0.16.2', submodules=True)
# https://github.com/horovod/horovod/blob/master/docs/install.rst
variant('frameworks', default='pytorch',
description='Deep learning frameworks to build support for',
values=('tensorflow', 'pytorch', 'mxnet', 'keras', 'spark'),
multi=True)
variant('controllers', default='mpi',
description='Controllers to coordinate work between processes',
values=('mpi', 'gloo'), multi=True)
variant('tensor_ops', default='nccl',
description='Framework to use for GPU/CPU operations',
values=('nccl', 'mpi', 'gloo', 'ccl'), multi=False)
# Required dependencies
depends_on('py-setuptools', type='build')
depends_on('py-cloudpickle', type=('build', 'run'))
depends_on('py-psutil', type=('build', 'run'))
depends_on('py-pyyaml', type=('build', 'run'))
depends_on('py-six', type=('build', 'run'))
# Framework dependencies
depends_on('py-tensorflow@1.1.0:', type=('build', 'link', 'run'), when='frameworks=tensorflow')
depends_on('py-torch@0.4.0:', type=('build', 'link', 'run'), when='frameworks=pytorch')
depends_on('py-torchvision', type=('build', 'run'), when='frameworks=pytorch @:0.19.1')
depends_on('py-cffi@1.4.0:', type=('build', 'run'), when='frameworks=pytorch')
depends_on('mxnet@1.4.1:+python', type=('build', 'link', 'run'), when='frameworks=mxnet')
depends_on('py-keras@2.0.8,2.1.2:', type=('build', 'run'), when='frameworks=keras')
depends_on('py-h5py@2.9:', type=('build', 'run'), when='frameworks=spark')
depends_on('py-numpy', type=('build', 'run'), when='frameworks=spark')
depends_on('py-petastorm@0.8.2', type=('build', 'run'), when='frameworks=spark @:0.19.1')
depends_on('py-petastorm@0.9.0:', type=('build', 'run'), when='frameworks=spark @0.19.2:')
depends_on('py-pyarrow@0.15.0:', type=('build', 'run'), when='frameworks=spark')
depends_on('py-pyspark@2.3.2:', type=('build', 'run'), when='frameworks=spark')
# Controller dependencies
depends_on('mpi', when='controllers=mpi')
# There does not appear to be a way to use an external Gloo installation
depends_on('cmake', type='build', when='controllers=gloo')
# Tensor Operations dependencies
depends_on('nccl@2:', when='tensor_ops=nccl')
depends_on('mpi', when='tensor_ops=mpi')
# There does not appear to be a way to use an external Gloo installation
depends_on('cmake', type='build', when='tensor_ops=gloo')
# Test dependencies
depends_on('py-mock', type='test')
depends_on('py-pytest', type='test')
depends_on('py-pytest-forked', type='test')
conflicts('controllers=gloo', when='platform=darwin', msg='Gloo cannot be compiled on MacOS')
# https://github.com/horovod/horovod/pull/1835
patch('fma.patch', when='@0.19.0:0.19.1')
def setup_build_environment(self, env):
# Frameworks
if 'frameworks=tensorflow' in self.spec:
env.set('HOROVOD_WITH_TENSORFLOW', 1)
else:
env.set('HOROVOD_WITHOUT_TENSORFLOW', 1)
if 'frameworks=pytorch' in self.spec:
env.set('HOROVOD_WITH_PYTORCH', 1)
else:
env.set('HOROVOD_WITHOUT_PYTORCH', 1)
if 'frameworks=mxnet' in self.spec:
env.set('HOROVOD_WITH_MXNET', 1)
else:
env.set('HOROVOD_WITHOUT_MXNET', 1)
# Controllers
if 'controllers=mpi' in self.spec:
env.set('HOROVOD_WITH_MPI', 1)
else:
env.set('HOROVOD_WITHOUT_MPI', 1)
if 'controllers=gloo' in self.spec:
env.set('HOROVOD_WITH_GLOO', 1)
else:
env.set('HOROVOD_WITHOUT_GLOO', 1)
# Tensor Operations
if 'tensor_ops=nccl' in self.spec:
env.set('HOROVOD_GPU', 'CUDA')
env.set('HOROVOD_CUDA_HOME', self.spec['cuda'].prefix)
env.set('HOROVOD_CUDA_INCLUDE',
self.spec['cuda'].headers.directories[0])
env.set('HOROVOD_CUDA_LIB', self.spec['cuda'].libs.directories[0])
env.set('HOROVOD_NCCL_HOME', self.spec['nccl'].prefix)
env.set('HOROVOD_NCCL_INCLUDE',
self.spec['nccl'].headers.directories[0])
env.set('HOROVOD_NCCL_LIB', self.spec['nccl'].libs.directories[0])
env.set('HOROVOD_GPU_ALLREDUCE', 'NCCL')
env.set('HOROVOD_GPU_BROADCAST', 'NCCL')
else:
env.set('HOROVOD_CPU_OPERATIONS',
self.spec.variants['tensor_ops'].value.upper())
@run_after('install')
@on_package_attributes(run_tests=True)
def install_test(self):
horovodrun = Executable(self.prefix.bin.horovodrun)
horovodrun('--check-build')
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