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
|
# 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)
from spack import *
import json
class PyChainer(PythonPackage):
"""
Chainer is a Python-based deep learning framework aiming at flexibility.
It provides automatic differentiation APIs based on the define-by-run
approach (a.k.a. dynamic computational graphs) as well as object-oriented
high-level APIs to build and train neural networks.
It also supports CUDA/cuDNN using CuPy for high performance training
and inference.
"""
homepage = "https://chainer.org/"
url = "https://github.com/chainer/chainer/archive/v7.2.0.tar.gz"
maintainers = ['adamjstewart']
version('7.2.0', sha256='6e2fba648cc5b8a5421e494385b76fe5ec154f1028a1c5908557f5d16c04f0b3')
version('6.7.0', sha256='87cb3378a35e7c5c695028ec91d58dc062356bc91412384ea939d71374610389')
variant("mn", default=False, description="run with ChainerMN")
depends_on('python@3.5.1:', when='@7:', type=('build', 'run'))
depends_on('py-setuptools', type=('build', 'run'))
depends_on('py-numpy@1.9:', type=('build', 'run'))
depends_on('py-six@1.9.0:', type=('build', 'run'))
depends_on('py-typing-extensions', type=('build', 'run'))
depends_on('py-typing-extensions@:3.6.6', when='@:6', type=('build', 'run'))
depends_on('py-filelock', type=('build', 'run'))
depends_on('py-protobuf@3:', type=('build', 'run'))
depends_on('py-typing@:3.6.6', when='@:6', type=('build', 'run'))
# Dependencies only required for test of ChainerMN
depends_on('py-matplotlib', type=('build', 'run'), when='+mn')
depends_on('py-mpi4py', type=('build', 'run'), when='+mn')
depends_on("mpi", type=("build", "run"), when='+mn')
@run_after('install')
def cache_test_sources(self):
if '+mn' in self.spec:
self.cache_extra_test_sources("examples")
def test(self):
if "+mn" in self.spec:
# Run test of ChainerMN
test_dir = self.test_suite.current_test_data_dir
mnist_dir = join_path(
self.install_test_root, "examples", "chainermn", "mnist"
)
mnist_file = join_path(mnist_dir, "train_mnist.py")
mpi_name = self.spec["mpi"].prefix.bin.mpirun
python_exe = self.spec["python"].command.path
opts = [
"-n",
"4",
python_exe,
mnist_file,
"-o",
test_dir,
]
env["OMP_NUM_THREADS"] = "4"
self.run_test(
mpi_name,
options=opts,
work_dir=test_dir,
)
# check results
json_open = open(join_path(test_dir, 'log'), 'r')
json_load = json.load(json_open)
v = dict([(d.get('epoch'), d.get('main/accuracy')) for d in json_load])
if 1 not in v or 20 not in v:
raise RuntimeError('Cannot find epoch 1 or epoch 20')
if abs(1.0 - v[1]) < abs(1.0 - v[20]):
raise RuntimeError('ChainerMN Test Failed !')
|
