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# 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 PyHorovod(PythonPackage, CudaPackage):
"""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', 'aweits', 'tgaddair']
version('master', branch='master', submodules=True)
version('0.21.3', tag='v0.21.3', submodules=True)
version('0.21.2', tag='v0.21.2', submodules=True)
version('0.21.1', tag='v0.21.1', submodules=True)
version('0.21.0', tag='v0.21.0', submodules=True)
version('0.20.3', tag='v0.20.3', submodules=True)
version('0.20.2', tag='v0.20.2', submodules=True)
version('0.20.1', tag='v0.20.1', submodules=True)
version('0.20.0', tag='v0.20.0', submodules=True)
version('0.19.5', tag='v0.19.5', submodules=True)
version('0.19.4', tag='v0.19.4', 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', 'ray'),
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)
variant('cuda', default=True, description='Build with CUDA')
variant('rocm', default=False, description='Build with ROCm')
# Required dependencies
depends_on('python@3.6:', type=('build', 'run'), when='@0.20:')
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'), when='@:0.19')
depends_on('py-dataclasses', type=('build', 'run'), when='@0.20: ^python@:3.6')
# Framework dependencies
depends_on('py-tensorflow@1.1.0:', type=('build', 'link', 'run'), when='frameworks=tensorflow')
depends_on('py-tensorflow@1.15:', type=('build', 'link', 'run'), when='frameworks=tensorflow @0.20:')
depends_on('py-torch@0.4.0:', type=('build', 'link', 'run'), when='frameworks=pytorch')
depends_on('py-torch@1.2:', type=('build', 'link', 'run'), when='frameworks=pytorch @0.20:')
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@:2.999', 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 @0.19.2:0.21.0')
depends_on('py-petastorm@0.9.8:', type=('build', 'run'), when='frameworks=spark @0.21.1:')
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 ^python@:3.7')
depends_on('py-pyspark@3.0.0:', type=('build', 'run'), when='frameworks=spark ^python@3.8:')
depends_on('py-ray', type=('build', 'run'), when='frameworks=ray')
# Build dependencies
depends_on('cmake@2.8.12:', type='build', when='@0.20:')
depends_on('pkgconfig', type='build')
# 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')
depends_on('libuv@1.26:', when='controllers=gloo platform=darwin')
# 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')
conflicts('cuda_arch=none', when='+cuda',
msg='Must specify CUDA compute capabilities of your GPU, see '
'https://developer.nvidia.com/cuda-gpus')
conflicts('tensor_ops=nccl', when='~cuda~rocm', msg='NCCL requires either CUDA or ROCm support')
conflicts('frameworks=ray', when='@:0.19', msg='Ray integration was added in 0.20.X')
conflicts('controllers=gloo', when='@:0.20.0 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')
@property
def import_modules(self):
modules = [
'horovod', 'horovod.runner', 'horovod.runner.util',
'horovod.runner.elastic', 'horovod.runner.driver',
'horovod.runner.common', 'horovod.runner.common.util',
'horovod.runner.common.service', 'horovod.runner.http',
'horovod.runner.task', 'horovod.common'
]
if 'frameworks=tensorflow' in self.spec:
modules.append('horovod.tensorflow')
if 'frameworks=pytorch' in self.spec:
modules.extend([
'horovod.torch', 'horovod.torch.mpi_lib',
'horovod.torch.elastic', 'horovod.torch.mpi_lib_impl'
])
if 'frameworks=mxnet' in self.spec:
modules.append('horovod.mxnet')
if 'frameworks=keras' in self.spec:
modules.extend(['horovod.keras', 'horovod._keras'])
if 'frameworks=spark' in self.spec:
modules.extend([
'horovod.spark', 'horovod.spark.driver',
'horovod.spark.common', 'horovod.spark.task'
])
if 'frameworks=ray' in self.spec:
modules.append('horovod.ray')
if 'frameworks=tensorflow,keras' in self.spec:
modules.append('horovod.tensorflow.keras')
if 'frameworks=spark,pytorch' in self.spec:
modules.append('horovod.spark.torch')
if 'frameworks=spark,keras' in self.spec:
modules.append('horovod.spark.keras')
return modules
def setup_build_environment(self, env):
# https://github.com/horovod/horovod/blob/master/docs/install.rst#environment-variables
# Build system
env.set('PKG_CONFIG_EXECUTABLE',
self.spec['pkgconfig'].prefix.bin.join('pkg-config'))
if '^cmake' in self.spec:
env.set('HOROVOD_CMAKE', self.spec['cmake'].command.path)
env.set('MAKEFLAGS', '-j{0}'.format(make_jobs))
# 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)
env.set('MXNET_INCLUDE_PATH', self.spec['mxnet'].prefix.include)
env.set('MXNET_LIBRARY_PATH', join_path(self.spec['mxnet'].libs[0]))
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_ALLREDUCE', 'NCCL')
env.set('HOROVOD_GPU_ALLGATHER', 'NCCL')
env.set('HOROVOD_GPU_BROADCAST', 'NCCL')
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])
if '+cuda' in self.spec:
env.set('HOROVOD_GPU', 'CUDA')
env.set('HOROVOD_CUDA_HOME', self.spec['cuda'].prefix)
cuda_cc_list = ','.join(self.spec.variants['cuda_arch'].value)
env.set('HOROVOD_BUILD_CUDA_CC_LIST', cuda_cc_list)
env.set('HOROVOD_CUDA_INCLUDE',
self.spec['cuda'].headers.directories[0])
env.set('HOROVOD_CUDA_LIB',
self.spec['cuda'].libs.directories[0])
elif '+rocm' in self.spec:
env.set('HOROVOD_GPU', 'ROCM')
# env.set('HOROVOD_ROCM_HOME', self.spec['rocm'].prefix)
else:
env.set('HOROVOD_CPU_OPERATIONS',
self.spec.variants['tensor_ops'].value.upper())
def test(self):
super(PyHorovod, self).test()
run_test(self.prefix.bin.horovodrun, '--check-build')
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