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# Copyright 2013-2022 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 Mxnet(CMakePackage, CudaPackage):
"""MXNet is a deep learning framework
designed for both efficiency and flexibility."""
homepage = "https://mxnet.apache.org"
url = "https://archive.apache.org/dist/incubator/mxnet/1.7.0/apache-mxnet-src-1.7.0-incubating.tar.gz"
list_url = "https://mxnet.apache.org/get_started/download"
git = "https://github.com/apache/incubator-mxnet.git"
maintainers = ["adamjstewart"]
import_modules = [
"mxnet",
"mxnet.numpy_extension",
"mxnet.optimizer",
"mxnet.module",
"mxnet.io",
"mxnet.cython",
"mxnet.ndarray",
"mxnet.gluon",
"mxnet.symbol",
"mxnet._cy3",
"mxnet.contrib",
"mxnet.numpy",
"mxnet._ffi",
"mxnet.image",
"mxnet.kvstore",
"mxnet.notebook",
"mxnet._ctypes",
"mxnet.rnn",
"mxnet.ndarray.numpy_extension",
"mxnet.ndarray.numpy",
"mxnet.gluon.nn",
"mxnet.gluon.model_zoo",
"mxnet.gluon.contrib",
"mxnet.gluon.data",
"mxnet.gluon.rnn",
"mxnet.gluon.model_zoo.vision",
"mxnet.gluon.contrib.nn",
"mxnet.gluon.contrib.estimator",
"mxnet.gluon.contrib.cnn",
"mxnet.gluon.contrib.data",
"mxnet.gluon.contrib.rnn",
"mxnet.gluon.data.vision",
"mxnet.symbol.numpy_extension",
"mxnet.symbol.numpy",
"mxnet.contrib.onnx",
"mxnet.contrib.svrg_optimization",
"mxnet.contrib.amp",
"mxnet.contrib.text",
"mxnet.contrib.onnx.mx2onnx",
"mxnet.contrib.onnx.onnx2mx",
"mxnet.contrib.amp.lists",
"mxnet._ffi._cy3",
"mxnet._ffi._ctypes",
]
version("master", branch="master", submodules=True)
version("1.master", branch="v1.x", submodules=True)
version("1.8.0", sha256="95aff985895aba409c08d5514510ae38b88490cfb6281ab3a5ff0f5826c8db54")
version("1.7.0", sha256="1d20c9be7d16ccb4e830e9ee3406796efaf96b0d93414d676337b64bc59ced18")
version("1.6.0", sha256="01eb06069c90f33469c7354946261b0a94824bbaf819fd5d5a7318e8ee596def")
version(
"1.3.0",
sha256="c00d6fbb2947144ce36c835308e603f002c1eb90a9f4c5a62f4d398154eed4d2",
deprecated=True,
)
variant(
"build_type",
default="Distribution",
description="CMake build type",
values=("Distribution", "Debug", "Release", "RelWithDebInfo", "MinSizeRel"),
)
variant("cuda", default=True, description="Enable CUDA support")
variant("cudnn", default=True, description="Build with cudnn support")
variant("nccl", default=False, description="Use NVidia NCCL with CUDA")
variant("opencv", default=True, description="Enable OpenCV support")
variant("openmp", default=False, description="Enable OpenMP support")
variant("lapack", default=True, description="Build with lapack support")
variant("mkldnn", default=False, description="Build with MKL-DNN support")
variant("python", default=True, description="Install python bindings")
depends_on("cmake@3.13:", type="build")
depends_on("ninja", type="build")
depends_on("pkgconfig", when="@1.6.0", type="build")
depends_on("blas")
depends_on("cuda@:10.2", when="@:1.8.0 +cuda")
depends_on("cuda@:11.3", when="@2.0.0: +cuda")
depends_on("cudnn", when="+cudnn")
depends_on("nccl", when="+nccl")
depends_on("opencv+highgui+imgproc+imgcodecs", when="+opencv")
depends_on("lapack", when="+lapack")
depends_on("onednn", when="+mkldnn")
# python/setup.py
extends("python", when="+python")
depends_on("python@2.7:2.8,3.4:", when="@:1.8.0+python", type=("build", "run"))
depends_on("python@3.6:", when="@2.0.0:+python", type=("build", "run"))
depends_on("py-pip", when="+python", type="build")
depends_on("py-wheel", when="+python", type="build")
depends_on("py-contextvars", when="@2.0.0:+python ^python@3.6.0:3.6", type=("build", "run"))
depends_on("py-setuptools", when="+python", type="build")
depends_on("py-cython", when="+python", type="build")
depends_on("py-numpy@1.17:", when="@2.0.0:+python", type=("build", "run"))
depends_on("py-numpy@1.16.1:1", when="@1.6:1.8.0+python", type=("build", "run"))
depends_on("py-numpy@1.8.2:1.15.0", when="@1.3.0+python", type=("build", "run"))
depends_on("py-requests@2.20.0:2", when="@1.6:+python", type=("build", "run"))
depends_on("py-requests@2.18.4:2.18", when="@1.3.0+python", type=("build", "run"))
depends_on("py-graphviz@0.8.1:0.8", when="+python", type=("build", "run"))
conflicts("+cudnn", when="~cuda")
conflicts("+nccl", when="~cuda")
patch("openblas-1.7.0.patch", when="@1.7.0:1.master")
patch("openblas-1.6.0.patch", when="@1.6.0")
patch("cmake_cuda_flags.patch", when="@1.6:1.7")
patch("parallell_shuffle.patch", when="@1.6.0")
# python/setup.py assumes libs can be found in build directory
build_directory = "build"
generator = "Ninja"
def setup_run_environment(self, env):
env.set("MXNET_LIBRARY_PATH", self.spec["mxnet"].libs[0])
if self.spec.satisfies("+nccl ^nccl@2.1:"):
env.set("NCCL_LAUNCH_MODE", "PARALLEL")
def cmake_args(self):
# https://mxnet.apache.org/get_started/build_from_source
args = [
self.define_from_variant("USE_CUDA", "cuda"),
self.define_from_variant("USE_CUDNN", "cudnn"),
self.define_from_variant("USE_OPENCV", "opencv"),
self.define_from_variant("USE_OPENMP", "openmp"),
self.define_from_variant("USE_LAPACK", "lapack"),
]
if self.spec.satisfies("@:1.8.0"):
args.append(self.define_from_variant("USE_MKLDNN", "mkldnn"))
if self.spec.satisfies("@2.0.0:"):
args.append(self.define_from_variant("USE_ONEDNN", "mkldnn"))
args.append(self.define("USE_CUTENSOR", False))
if "+cuda" in self.spec:
if "cuda_arch=none" not in self.spec:
cuda_arch = ";".join(
"{0:.1f}".format(float(i) / 10.0)
for i in self.spec.variants["cuda_arch"].value
)
args.append(self.define("MXNET_CUDA_ARCH", cuda_arch))
args.append(self.define_from_variant("USE_NCCL", "nccl"))
# Workaround for bug in GCC 8+ and CUDA 10 on PowerPC
args.append(self.define("CMAKE_CUDA_FLAGS", self.compiler.cxx11_flag))
return args
@run_after("install")
def install_python(self):
if "+python" in self.spec:
with working_dir("python"):
args = std_pip_args + ["--prefix=" + prefix, "."]
pip(*args)
def test(self):
"""Attempts to import modules of the installed package."""
if "+python" in self.spec:
# Make sure we are importing the installed modules,
# not the ones in the source directory
for module in self.import_modules:
self.run_test(
self.spec["python"].command.path,
["-c", "import {0}".format(module)],
purpose="checking import of {0}".format(module),
work_dir="spack-test",
)
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