1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
|
# 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 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')
|
