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package.py
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package.py
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# Copyright 2013-2024 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)
from spack.package import *
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", "thomas-bouvier")
license("Apache-2.0")
version("master", branch="master", submodules=True)
version(
"0.28.1", tag="v0.28.1", commit="1d217b59949986d025f6db93c49943fb6b6cc78f", submodules=True
)
version(
"0.28.0", tag="v0.28.0", commit="587d72004736209a93ebda8cec0acdb7870db583", submodules=True
)
version(
"0.27.0", tag="v0.27.0", commit="bfaca90d5cf66780a97d8799d4e1573855b64560", submodules=True
)
version(
"0.26.1", tag="v0.26.1", commit="34604870eabd9dc670c222deb1da9acc6b9d7c03", submodules=True
)
version(
"0.26.0", tag="v0.26.0", commit="c638dcec972750d4a75b229bc208cff9dc76b00a", submodules=True
)
version(
"0.25.0", tag="v0.25.0", commit="48e0affcba962831668cd1222866af2d632920c2", submodules=True
)
version(
"0.24.3", tag="v0.24.3", commit="a2d9e280c1210a8e364a7dc83ca6c2182fefa99d", submodules=True
)
version(
"0.24.2", tag="v0.24.2", commit="b4c191c8d05086842517b3836285a85c6f96ab22", submodules=True
)
version(
"0.24.1", tag="v0.24.1", commit="ebd135098571722469bb6290a6d098a9e1c96574", submodules=True
)
version(
"0.24.0", tag="v0.24.0", commit="b089df66a29d3ba6672073eef3d42714d9d3626b", submodules=True
)
version(
"0.23.0", tag="v0.23.0", commit="66ad6d5a3586decdac356e8ec95c204990bbc3d6", submodules=True
)
version(
"0.22.1", tag="v0.22.1", commit="93a2f2583ed63391a904aaeb03b602729be90f15", submodules=True
)
version(
"0.22.0", tag="v0.22.0", commit="3ff94801fbb4dbf6bc47c23888c93cad4887435f", submodules=True
)
version(
"0.21.3", tag="v0.21.3", commit="6916985c9df111f36864724e2611827f64de8e11", submodules=True
)
version(
"0.21.2", tag="v0.21.2", commit="c64b1d60c6bad7834f3315f12707f8ebf11c9c3d", submodules=True
)
version(
"0.21.1", tag="v0.21.1", commit="a9dea74abc1f0b8e81cd2b6dd9fe81e2c4244e39", submodules=True
)
version(
"0.21.0", tag="v0.21.0", commit="7d71874258fc8625ad8952defad0ea5b24531248", submodules=True
)
version(
"0.20.3", tag="v0.20.3", commit="b3c4d81327590c9064d544622b6250d9a19ce2c2", submodules=True
)
version(
"0.20.2", tag="v0.20.2", commit="cef4393eb980d4137bb91256da4dd847b7f44d1c", submodules=True
)
version(
"0.20.1", tag="v0.20.1", commit="4099c2b7f34f709f0db1c09f06b2594d7b4b9615", submodules=True
)
version(
"0.20.0", tag="v0.20.0", commit="396c1319876039ad8f5a56c007a020605ccb8277", submodules=True
)
version(
"0.19.5", tag="v0.19.5", commit="b52e4b3e6ce5b1b494b77052878a0aad05c2e3ce", submodules=True
)
version(
"0.19.4", tag="v0.19.4", commit="31f1f700b8fa6d3b6df284e291e302593fbb4fa3", submodules=True
)
version(
"0.19.3", tag="v0.19.3", commit="ad63bbe9da8b41d0940260a2dd6935fa0486505f", submodules=True
)
version(
"0.19.2", tag="v0.19.2", commit="f8fb21e0ceebbdc6ccc069c43239731223d2961d", submodules=True
)
version(
"0.19.1", tag="v0.19.1", commit="9ad69e78e83c34568743e8e97b1504c6c7af34c3", submodules=True
)
version(
"0.19.0", tag="v0.19.0", commit="1a805d9b20224069b294f361e47f5d9b55f426ff", submodules=True
)
version(
"0.18.2", tag="v0.18.2", commit="bb2134b427e0e0c5a83624d02fafa4f14de623d9", submodules=True
)
version(
"0.18.1", tag="v0.18.1", commit="0008191b3e61b5dfccddabe0129bbed7cd544c56", submodules=True
)
version(
"0.18.0", tag="v0.18.0", commit="a639de51e9a38d5c1f99f458c045aeaebe70351e", submodules=True
)
version(
"0.17.1", tag="v0.17.1", commit="399e70adc0f74184b5848d9a46b9b6ad67b5fe6d", submodules=True
)
version(
"0.17.0", tag="v0.17.0", commit="2fed0410774b480ad19057320be9027be06b309e", submodules=True
)
version(
"0.16.4", tag="v0.16.4", commit="2aac48c95c035bee7d68f9aff30e59319f46c21e", submodules=True
)
version(
"0.16.3", tag="v0.16.3", commit="30a2148784478415dc31d65a6aa08d237f364b42", submodules=True
)
version(
"0.16.2", tag="v0.16.2", commit="217774652eeccfcd60aa6e268dfd6b766d71b768", 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", "keras", "pytorch", "mxnet", "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")
# Build dependencies
depends_on("cmake@3.13:", type="build", when="@0.24:")
depends_on("cmake@2.8.12:", type="build", when="@0.20:")
depends_on("pkgconfig", type="build")
# 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-packaging", type=("build", "run"), when="@0.26:")
# 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-tensorflow-estimator", type=("build", "run"), when="frameworks=tensorflow")
depends_on("py-keras@2.0.8,2.1.2:", type=("build", "run"), when="frameworks=keras")
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-torch@1.5:", type=("build", "link", "run"), when="frameworks=pytorch @0.25:")
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("py-pytorch-lightning", type=("build", "run"), when="frameworks=pytorch @0.22:0.23")
depends_on(
"py-pytorch-lightning@1.3.8", type=("build", "run"), when="frameworks=pytorch @0.24"
)
depends_on(
"py-pytorch-lightning@1.3.8:1.5.9", type=("build", "run"), when="frameworks=pytorch @0.25:"
)
depends_on("mxnet@1.4.1:+python", type=("build", "link", "run"), when="frameworks=mxnet")
depends_on("py-h5py@:2", type=("build", "run"), when="frameworks=spark @:0.23")
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-petastorm@0.11:", type=("build", "run"), when="frameworks=spark @0.22:")
depends_on("py-petastorm@0.12:", type=("build", "run"), when="frameworks=spark @0.26:")
depends_on("py-pyarrow@0.15.0:10", 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-fsspec", type=("build", "run"), when="frameworks=spark @0.22.1:0.24.1")
depends_on("py-fsspec@2021.07:", type=("build", "run"), when="frameworks=spark @0.24.2:")
depends_on("py-ray", type=("build", "run"), when="frameworks=ray")
depends_on("py-aioredis@:1", type=("build", "run"), when="frameworks=ray @0.23:")
depends_on("py-google-api-core@:2.8", type=("build", "run"), when="frameworks=ray @0.26:")
# Controller dependencies
depends_on("mpi", when="controllers=mpi")
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")
depends_on("cmake", type="build", when="tensor_ops=gloo")
depends_on("libuv@1.26:", when="tensor_ops=gloo platform=darwin")
depends_on("intel-oneapi-ccl", when="tensor_ops=ccl")
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/issues/3996
conflicts("^py-torch@2.1:")
# https://github.com/horovod/horovod/pull/1835
patch("fma.patch", when="@0.19.0:0.19.1")
# Patch vendored copy of eigen to fix build on aarch64
# https://github.com/horovod/horovod/issues/3605
# https://gitlab.com/libeigen/eigen/-/commit/fd1dcb6b45a2c797ad4c4d6cc7678ee70763b4ed
patch("eigen.patch", when="@0.21:0.25 target=aarch64:")
@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.elastic"])
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 or "tensor_ops=mpi" in self.spec:
env.set("HOROVOD_WITH_MPI", 1)
else:
env.set("HOROVOD_WITHOUT_MPI", 1)
if "controllers=gloo" in self.spec or "tensor_ops=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_check_build(self):
"""run horovodrun --check-build"""
horovodrun = which(self.prefix.bin.horovodrun)
horovodrun("--check-build")