'cudnn': 'cudnn5-cuda8',
'nccl': 'none',
'requires': ['cython==0.28.3', 'numpy==1.9.3'],
}
volume = []
env = {}
argconfig.parse_args(args, env, build_conf, volume)
docker.run_with(build_conf,
'./build_sdist_cupy.sh',
volume=volume,
env=env)
conf = shuffle.make_shuffle_conf(params, args.id)
volume = []
env = {}
argconfig.parse_args(args, env, conf, volume)
if args.interactive:
docker.run_interactive(conf,
no_cache=args.no_cache,
volume=volume,
env=env,
use_root=args.root)
else:
docker.run_with(conf,
'./test_cupy_install.sh',
no_cache=args.no_cache,
volume=volume,
env=env,
timeout=args.timeout,
use_root=args.root)
def main():
parser = argparse.ArgumentParser(
description='Test script for multi-environment')
parser.add_argument('--test', choices=[
'chainer-py3', 'chainer-py35', 'chainer-slow',
'chainer-example', 'chainer-prev_example', 'chainer-doc',
'chainer-head',
'cupy-py3', 'cupy-py36', 'cupy-slow', 'cupy-py3-cub', 'cupy-py3-cutensor',
'cupy-example', 'cupy-doc',
'cupy-head',
], required=True)
parser.add_argument('--no-cache', action='store_true')
parser.add_argument('--timeout', default='3h')
parser.add_argument('-i', '--interactive', action='store_true')
parser.add_argument(
'--clone-cupy', action='store_true',
help='clone cupy repository based on chainer version. '
'this option is used for testing chainer.')
parser.add_argument(
'--clone-chainer', action='store_true',
help='clone chainer repository based on cupy version. '
'this option is used for testing cupy.')
parser.add_argument(
'--env', action='append', default=[],
help='inherit environment variable (like `docker run --env`)')
argconfig.setup_argument_parser(parser)
args = parser.parse_args()
if args.clone_cupy:
version.clone_cupy()
if args.clone_chainer:
version.clone_chainer()
is_cupy_8_or_later = (
version.get_cupy_version() >= (8,) or
# is_master_branch() is required because v8 beta branch has v7 as
# the version number in _version.py.
# After releasing v8 as stable, remove this condition.
version.is_master_branch('cupy'))
if not is_cupy_8_or_later:
# Required only for CUDA 11 (which bundles CUB) build.
use_gcc6_or_later = False
else:
# Always required as CUB is always available.
use_gcc6_or_later = True
ideep_min_version = version.get_ideep_version_from_chainer_docs()
if ideep_min_version is None:
ideep_req = None # could not determine
elif ideep_min_version.startswith('1.'):
ideep_req = '<1.1'
elif ideep_min_version.startswith('2.'):
ideep_req = '<2.1'
else:
raise RuntimeError('bad ideep version: {}'.format(ideep_min_version))
build_chainerx = False
cupy_accelerators = []
if args.test == 'chainer-py3':
conf = {
'base': 'ubuntu18_py38-pyenv',
'cuda': 'cuda101',
'cudnn': 'cudnn76-cuda101',
'nccl': 'nccl2.4-cuda101',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/chainer/chainer-test/issues/565
'setuptools<42', 'pip', 'cython==0.29.22',
'numpy==1.19.*', 'pillow',
],
}
script = './test.sh'
elif args.test == 'chainer-py35':
assert ideep_req is not None
conf = {
'base': 'ubuntu16_py35',
'cuda': 'cuda92',
'cudnn': 'cudnn71-cuda92',
'nccl': 'nccl2.2-cuda92',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'setuptools<50', 'cython==0.29.22',
'numpy==1.18.*', 'scipy==1.4.*',
'h5py', 'theano', 'protobuf<3',
'ideep4py{}'.format(ideep_req),
],
}
script = './test.sh'
elif args.test == 'chainer-head' or args.test == 'cupy-head':
assert ideep_req is not None
conf = {
'base': 'ubuntu16_py36-pyenv',
'cuda': 'cuda101',
'cudnn': 'cudnn76-cuda101',
'nccl': 'nccl2.4-cuda101',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# Use '>=0.0.dev0' to install the latest pre-release version
# available on PyPI.
# https://pip.pypa.io/en/stable/reference/pip_install/#pre-release-versions
# TODO(kmaehashi) rewrite iDeep constraints after v2.0 support
'setuptools>=0.0.dev0', 'cython>=0.0.dev0,<3', 'numpy>=0.0.dev0',
'scipy>=0.0.dev0', 'h5py>=0.0.dev0', 'theano>=0.0.dev0',
'protobuf>=0.0.dev0',
'ideep4py>=0.0.dev0, {}'.format(ideep_req),
],
}
if args.test == 'chainer-head':
script = './test.sh'
elif args.test == 'cupy-head':
script = './test_cupy.sh'
else:
assert False # should not reach
elif args.test == 'chainer-slow':
assert ideep_req is not None
conf = {
'base': 'ubuntu16_py35',
'cuda': 'cuda92',
'cudnn': 'cudnn76-cuda92',
'nccl': 'nccl2.4-cuda92',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'setuptools<50', 'cython==0.29.22',
'numpy==1.18.*', 'scipy==1.4.*',
'scipy<1.1', 'h5py', 'theano', 'protobuf<3', 'pillow',
'ideep4py{}'.format(ideep_req),
],
}
script = './test_slow.sh'
elif args.test == 'chainer-example':
base = 'ubuntu16_py36-pyenv'
conf = {
'base': base,
'cuda': 'cuda102',
'cudnn': 'cudnn76-cuda102',
'nccl': 'nccl2.5-cuda102',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'setuptools<50', 'cython==0.29.22', 'numpy==1.18.*',
],
}
script = './test_example.sh'
elif args.test == 'chainer-prev_example':
base = 'ubuntu16_py36-pyenv'
conf = {
'base': base,
'cuda': 'cuda92',
'cudnn': 'cudnn72-cuda92',
'nccl': 'none',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'setuptools<50', 'pip', 'cython==0.29.22', 'numpy==1.18.*',
],
}
script = './test_prev_example.sh'
elif args.test == 'chainer-doc':
# Note that NumPy 1.14 or later is required to run doctest, as
# the document uses new textual representation of arrays introduced in
# NumPy 1.14.
conf = {
'base': 'ubuntu16_py36-pyenv',
'cuda': 'cuda92',
'cudnn': 'cudnn76-cuda92',
'nccl': 'none',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'pip==9.0.1', 'setuptools<50', 'cython==0.29.22', 'matplotlib',
'numpy==1.18.*', 'scipy==1.4.*', 'theano', 'wheel', 'pytest',
] + SPHINX_REQUIREMENTS_CONDA
}
script = './test_doc.sh'
build_chainerx = True
elif args.test == 'cupy-py3':
requires = []
if is_cupy_8_or_later:
requires = ['optuna']
conf = {
'base': 'ubuntu18_py39-pyenv',
'cuda': 'cuda100',
'cudnn': 'cudnn76-cuda100',
'nccl': 'nccl2.4-cuda100',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
'setuptools<42', 'pip', 'cython==0.29.22',
'numpy==1.21.*', 'scipy==1.7.*',
] + requires,
}
script = './test_cupy.sh'
elif args.test == 'cupy-py3-cutensor':
conf = {
'base': 'ubuntu18_py38-pyenv',
'cuda': 'cuda102',
'cudnn': 'cudnn76-cuda102',
'nccl': 'nccl2.5-cuda102',
'cutensor': 'cutensor1.3.1-cuda102',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/chainer/chainer-test/issues/565
'setuptools<42', 'pip', 'cython==0.29.22', 'numpy==1.21.*',
],
}
script = './test_cupy.sh'
cupy_accelerators += ['cutensor']
elif args.test == 'cupy-py3-cub':
conf = {
'base': 'ubuntu18_py38-pyenv',
'cuda': 'cuda100',
'cudnn': 'cudnn76-cuda100',
'nccl': 'nccl2.4-cuda100',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/chainer/chainer-test/issues/565
'setuptools<42', 'pip', 'cython==0.29.22', 'numpy==1.21.*',
],
}
script = './test_cupy.sh'
cupy_accelerators += ['cub']
elif args.test == 'cupy-py36':
if not is_cupy_8_or_later:
numpy_requires = 'numpy==1.9.*'
scipy_requires = 'scipy==0.18.*'
else:
numpy_requires = 'numpy==1.16.*'
scipy_requires = 'scipy==1.4.*'
conf = {
'base': 'ubuntu18_py36',
'cuda': 'cuda113',
'cudnn': 'cudnn82-cuda113',
'nccl': 'nccl2.9-cuda113',
'cutensor': 'none',
'cusparselt': 'cusparselt0.1.0-cuda112',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'setuptools<50', 'cython==0.29.22',
numpy_requires, scipy_requires,
],
}
script = './test_cupy.sh'
use_gcc6_or_later = True
elif args.test == 'cupy-slow':
if not is_cupy_8_or_later:
numpy_requires = 'numpy==1.10.*'
scipy_requires = 'scipy==0.18.*'
else:
numpy_requires = 'numpy==1.16.*'
scipy_requires = 'scipy==1.4.*'
conf = {
'base': 'ubuntu18_py36',
'cuda': 'cuda112',
'cudnn': 'cudnn81-cuda112',
'nccl': 'none',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'setuptools<50', 'cython==0.29.22',
numpy_requires, scipy_requires,
],
}
script = './test_cupy_slow.sh'
elif args.test == 'cupy-example':
if not is_cupy_8_or_later:
conf = {
'base': 'ubuntu18_py36',
'cuda': 'cuda92',
'cudnn': 'cudnn76-cuda92',
'nccl': 'nccl2.2-cuda92',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'setuptools<50', 'cython==0.29.22',
'numpy==1.12.*', 'scipy==0.18.*',
],
}
else:
conf = {
'base': 'ubuntu18_py38-pyenv',
'cuda': 'cuda102',
'cudnn': 'cudnn76-cuda102',
'nccl': 'nccl2.5-cuda102',
'cutensor': 'cutensor1.2.0-cuda102',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'setuptools<50', 'cython==0.29.22',
'numpy==1.21.*', 'scipy==1.6.*',
],
}
script = './test_cupy_example.sh'
elif args.test == 'cupy-doc':
requires = []
if is_cupy_8_or_later:
requires = ['optuna<2']
# Note that NumPy 1.14 or later is required to run doctest, as
# the document uses new textual representation of arrays introduced in
# NumPy 1.14.
conf = {
'base': 'ubuntu18_py38-pyenv',
'cuda': 'cuda100',
'cudnn': 'cudnn76-cuda100',
'nccl': 'nccl2.4-cuda100',
'cutensor': 'none',
'cusparselt': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/pypa/setuptools/issues/2352
'pip==9.0.1', 'setuptools<50', 'cython==0.29.22',
'numpy==1.21.*', 'scipy==1.7.*', 'wheel==0.36.2'
] + requires + SPHINX_REQUIREMENTS_PIP
}
script = './test_cupy_doc.sh'
else:
raise
use_ideep = any(['ideep4py' in req for req in conf['requires']])
volume = []
env = {
'USE_GCC6_OR_LATER': '1' if use_gcc6_or_later else '0',
'CUDNN': conf['cudnn'],
'IDEEP': 'ideep4py' if use_ideep else 'none',
'CHAINER_BUILD_CHAINERX': '1' if build_chainerx else '0',
'CUPY_ACCELERATORS': ','.join(cupy_accelerators),
}
argconfig.parse_args(args, env, conf, volume)
# inherit specified environment variable
for key in args.env:
env[key] = os.environ[key]
# coverage result is reported when the same type of a test is executed
if args.coverage_repo and args.coverage_repo in args.test:
argconfig.setup_coverage(args, env)
if args.interactive:
docker.run_interactive(
conf, no_cache=args.no_cache, volume=volume, env=env,
use_root=args.root)
else:
docker.run_with(
conf, script, no_cache=args.no_cache, volume=volume, env=env,
timeout=args.timeout, gpu_id=args.gpu_id, use_root=args.root)
conf['requires'].append('h5py<2.6')
conf['requires'] += [
'nose',
'mock',
'coverage',
]
if args.cache:
volume.append(args.cache)
env['CUPY_CACHE_DIR'] = os.path.join(args.cache, '.cupy')
env['CCACHE_DIR'] = os.path.join(args.cache, '.ccache')
if args.type == 'cpu':
script = './test_cpu.sh'
elif args.type == 'gpu':
script = './test.sh'
if args.http_proxy:
conf['http_proxy'] = args.http_proxy
if args.https_proxy:
conf['https_proxy'] = args.https_proxy
if args.interactive:
docker.run_interactive(
conf, no_cache=args.no_cache, volume=volume, env=env)
else:
docker.run_with(
conf, script, no_cache=args.no_cache, volume=volume, env=env,
timeout=args.timeout)
volume = []
env = {
'CUDNN': conf['cudnn'],
'IDEEP': 'ideep4py' if use_ideep else 'none',
}
if args.cache:
volume.append(args.cache)
env['CUDA_CACHE_PATH'] = os.path.join(args.cache, '.nv')
env['CUPY_CACHE_DIR'] = os.path.join(args.cache, '.cupy')
env['CCACHE_DIR'] = os.path.join(args.cache, '.ccache')
if args.type == 'cpu':
script = './test_cpu.sh'
elif args.type == 'gpu':
script = './test.sh'
conf['requires'].append('cupy')
if args.http_proxy:
conf['http_proxy'] = args.http_proxy
if args.https_proxy:
conf['https_proxy'] = args.https_proxy
if args.interactive:
docker.run_interactive(
conf, no_cache=args.no_cache, volume=volume, env=env)
else:
docker.run_with(
conf, script, no_cache=args.no_cache, volume=volume, env=env,
timeout=args.timeout, gpu_id=args.gpu_id)
def main():
parser = argparse.ArgumentParser(
description='Test script for multi-environment')
parser.add_argument('--test', choices=[
'chainer-py3', 'chainer-py35', 'chainer-slow',
'chainer-example', 'chainer-prev_example', 'chainer-doc',
'chainer-head',
'cupy-py3', 'cupy-py35', 'cupy-slow', 'cupy-py3-cub', 'cupy-py3-cutensor',
'cupy-example', 'cupy-doc',
'cupy-head',
], required=True)
parser.add_argument('--no-cache', action='store_true')
parser.add_argument('--timeout', default='2h')
parser.add_argument('-i', '--interactive', action='store_true')
parser.add_argument(
'--clone-cupy', action='store_true',
help='clone cupy repository based on chainer version. '
'this option is used for testing chainer.')
parser.add_argument(
'--clone-chainer', action='store_true',
help='clone chainer repository based on cupy version. '
'this option is used for testing cupy.')
parser.add_argument(
'--env', action='append', default=[],
help='inherit environment variable (like `docker run --env`)')
argconfig.setup_argument_parser(parser)
args = parser.parse_args()
if args.clone_cupy:
version.clone_cupy()
if args.clone_chainer:
version.clone_chainer()
is_cupy_8_or_later = (
version.get_cupy_version() >= (8,) or
# is_master_branch() is required because v8 beta branch has v7 as
# the version number in _version.py.
# After releasing v8 as stable, remove this condition.
version.is_master_branch('cupy'))
skip_chainer_test = _get_job_name() == 'cupy_pr' and is_cupy_8_or_later
if not is_cupy_8_or_later:
numpy_min_version = '1.9'
numpy_newest_upper_version = '1.18'
scipy_min_version = '0.18'
scipy_newest_upper_version = '1.5'
else:
numpy_min_version = '1.15'
numpy_newest_upper_version = '1.19'
scipy_min_version = '1.1'
scipy_newest_upper_version = '1.5'
ideep_min_version = version.get_ideep_version_from_chainer_docs()
if ideep_min_version is None:
ideep_req = None # could not determine
elif ideep_min_version.startswith('1.'):
ideep_req = '<1.1'
elif ideep_min_version.startswith('2.'):
ideep_req = '<2.1'
else:
raise RuntimeError('bad ideep version: {}'.format(ideep_min_version))
build_chainerx = False
use_cub = False
if args.test == 'chainer-py3':
if skip_chainer_test:
print('Skipping chainer test for CuPy>=8')
return
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_newest_upper_version)
conf = {
'base': 'ubuntu18_py38-pyenv',
'cuda': 'cuda101',
'cudnn': 'cudnn75-cuda101',
'nccl': 'nccl2.4-cuda101',
'cutensor': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/chainer/chainer-test/issues/565
'setuptools<42', 'pip', 'cython==0.29.13',
numpy_requires, 'pillow',
],
}
script = './test.sh'
elif args.test == 'chainer-py35':
assert ideep_req is not None
if skip_chainer_test:
print('Skipping chainer test for CuPy>=8')
return
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_newest_upper_version)
scipy_requires = 'scipy>={},<{}'.format(
scipy_min_version, scipy_newest_upper_version)
conf = {
'base': 'ubuntu16_py35',
'cuda': 'cuda92',
'cudnn': 'cudnn71-cuda92',
'nccl': 'nccl2.2-cuda92',
'cutensor': 'none',
'requires': [
'setuptools', 'cython==0.29.13',
numpy_requires, scipy_requires,
'h5py', 'theano', 'protobuf<3',
'ideep4py{}'.format(ideep_req),
],
}
script = './test.sh'
elif args.test == 'chainer-head' or args.test == 'cupy-head':
assert ideep_req is not None
conf = {
'base': 'ubuntu16_py36-pyenv',
'cuda': 'cuda101',
'cudnn': 'cudnn75-cuda101',
'nccl': 'nccl2.4-cuda101',
'cutensor': 'none',
'requires': [
# Use '>=0.0.dev0' to install the latest pre-release version
# available on PyPI.
# https://pip.pypa.io/en/stable/reference/pip_install/#pre-release-versions
# TODO(kmaehashi) rewrite iDeep constraints after v2.0 support
'setuptools>=0.0.dev0', 'cython>=0.0.dev0', 'numpy>=0.0.dev0',
'scipy>=0.0.dev0', 'h5py>=0.0.dev0', 'theano>=0.0.dev0',
'protobuf>=0.0.dev0',
'ideep4py>=0.0.dev0, {}'.format(ideep_req),
],
}
if args.test == 'chainer-head':
script = './test.sh'
elif args.test == 'cupy-head':
script = './test_cupy.sh'
else:
assert False # should not reach
elif args.test == 'chainer-slow':
assert ideep_req is not None
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_newest_upper_version)
scipy_requires = 'scipy>={},<{}'.format(
scipy_min_version, scipy_newest_upper_version)
conf = {
'base': 'ubuntu16_py35',
'cuda': 'cuda80',
'cudnn': 'cudnn6-cuda8',
'nccl': 'nccl1.3',
'cutensor': 'none',
'requires': [
'setuptools', 'cython==0.29.13',
numpy_requires, scipy_requires,
'scipy<1.1', 'h5py', 'theano', 'protobuf<3', 'pillow',
'ideep4py{}'.format(ideep_req),
],
}
script = './test_slow.sh'
elif args.test == 'chainer-example':
if skip_chainer_test:
print('Skipping chainer test for CuPy>=8')
return
base = 'ubuntu16_py35'
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_newest_upper_version)
conf = {
'base': base,
'cuda': 'cuda90',
'cudnn': 'cudnn73-cuda9',
'nccl': 'nccl2.2-cuda9',
'cutensor': 'none',
'requires': [
'setuptools', 'cython==0.29.13', numpy_requires,
],
}
script = './test_example.sh'
elif args.test == 'chainer-prev_example':
if skip_chainer_test:
print('Skipping chainer test for CuPy>=8')
return
base = 'ubuntu16_py35'
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_newest_upper_version)
conf = {
'base': base,
'cuda': 'cuda92',
'cudnn': 'cudnn72-cuda92',
'nccl': 'none',
'cutensor': 'none',
'requires': [
'setuptools', 'pip', 'cython==0.29.13', numpy_requires,
],
}
script = './test_prev_example.sh'
elif args.test == 'chainer-doc':
if skip_chainer_test:
print('Skipping chainer test for CuPy>=8')
return
# Note that NumPy 1.14 or later is required to run doctest, as
# the document uses new textual representation of arrays introduced in
# NumPy 1.14.
numpy_requires = 'numpy>={},<{}'.format(
'1.15', numpy_newest_upper_version)
scipy_requires = 'scipy>={},<{}'.format(
scipy_min_version, scipy_newest_upper_version)
conf = {
'base': 'ubuntu16_py35',
'cuda': 'cuda80',
'cudnn': 'cudnn6-cuda8',
'nccl': 'none',
'cutensor': 'none',
'requires': [
'pip==9.0.1', 'setuptools', 'cython==0.29.13', 'matplotlib',
numpy_requires, scipy_requires, 'theano',
] + SPHINX_REQUIREMENTS_CONDA
}
script = './test_doc.sh'
build_chainerx = True
elif args.test == 'cupy-py3':
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_newest_upper_version)
conf = {
'base': 'ubuntu18_py38-pyenv',
'cuda': 'cuda100',
'cudnn': 'cudnn75-cuda100',
'nccl': 'nccl2.4-cuda100',
'cutensor': 'none',
'requires': [
'setuptools<42', 'pip', 'cython==0.28.0',
'numpy>={},<1.18'.format(numpy_min_version),
],
}
script = './test_cupy.sh'
elif args.test == 'cupy-py3-cutensor':
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_newest_upper_version)
conf = {
'base': 'ubuntu18_py38-pyenv',
'cuda': 'cuda100',
'cudnn': 'cudnn75-cuda100',
'nccl': 'nccl2.4-cuda100',
'cutensor': 'cutensor1.0.1-cuda10',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/chainer/chainer-test/issues/565
'setuptools<42', 'pip', 'cython==0.28.0', numpy_requires
],
}
script = './test_cupy.sh'
elif args.test == 'cupy-py3-cub':
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_newest_upper_version)
conf = {
'base': 'ubuntu18_py38-pyenv',
'cuda': 'cuda100',
'cudnn': 'cudnn75-cuda100',
'nccl': 'nccl2.4-cuda100',
'cutensor': 'none',
'requires': [
# TODO(kmaehashi): Remove setuptools version restrictions
# https://github.com/chainer/chainer-test/issues/565
'setuptools<42', 'pip', 'cython==0.28.0', numpy_requires
],
}
script = './test_cupy.sh'
use_cub = True
elif args.test == 'cupy-py35':
if not is_cupy_8_or_later:
numpy_upper_version = '1.10'
scipy_upper_version = '0.19'
else:
# CuPy v8 dropped NumPy<1.15
numpy_upper_version = '1.16'
scipy_upper_version = '1.2'
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_upper_version)
scipy_requires = 'scipy>={},<{}'.format(
scipy_min_version, scipy_upper_version)
conf = {
'base': 'ubuntu16_py35',
'cuda': 'cuda102',
'cudnn': 'cudnn76-cuda102',
'nccl': 'nccl2.5-cuda102',
'cutensor': 'none',
'requires': [
'setuptools', 'cython==0.29.13',
numpy_requires, scipy_requires,
],
}
script = './test_cupy.sh'
elif args.test == 'cupy-slow':
if not is_cupy_8_or_later:
numpy_upper_version = '1.11'
scipy_upper_version = '0.19'
else:
# CuPy v8 dropped NumPy<1.15
numpy_upper_version = '1.16'
scipy_upper_version = '1.2'
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_upper_version)
scipy_requires = 'scipy>={},<{}'.format(
scipy_min_version, scipy_upper_version)
conf = {
'base': 'ubuntu16_py35',
'cuda': 'cuda80',
'cudnn': 'cudnn6-cuda8',
'nccl': 'none',
'cutensor': 'none',
'requires': [
'setuptools', 'cython==0.29.13',
numpy_requires, scipy_requires,
],
}
script = './test_cupy_slow.sh'
elif args.test == 'cupy-example':
if not is_cupy_8_or_later:
numpy_upper_version = '1.13'
scipy_upper_version = '0.19'
else:
# CuPy v8 dropped NumPy<1.15
numpy_upper_version = '1.16'
scipy_upper_version = '1.2'
numpy_requires = 'numpy>={},<{}'.format(
numpy_min_version, numpy_upper_version)
scipy_requires = 'scipy>={},<{}'.format(
scipy_min_version, scipy_upper_version)
base = 'ubuntu16_py35'
conf = {
'base': base,
'cuda': 'cuda80',
'cudnn': 'cudnn5-cuda8',
'nccl': 'nccl1.3',
'cutensor': 'none',
'requires': [
'setuptools', 'cython==0.29.13',
numpy_requires, scipy_requires,
],
}
script = './test_cupy_example.sh'
elif args.test == 'cupy-doc':
# Note that NumPy 1.14 or later is required to run doctest, as
# the document uses new textual representation of arrays introduced in
# NumPy 1.14.
numpy_requires = 'numpy>={},<{}'.format(
'1.15', numpy_newest_upper_version)
scipy_requires = 'scipy>={},<{}'.format(
scipy_min_version, '1.4')
conf = {
'base': 'ubuntu16_py35',
'cuda': 'cuda80',
'cudnn': 'cudnn6-cuda8',
'nccl': 'nccl1.3',
'cutensor': 'none',
'requires': [
'pip==9.0.1', 'setuptools', 'cython==0.29.13',
numpy_requires, scipy_requires,
] + SPHINX_REQUIREMENTS_PIP
}
script = './test_cupy_doc.sh'
else:
raise
use_ideep = any(['ideep4py' in req for req in conf['requires']])
volume = []
env = {
'CUDNN': conf['cudnn'],
'IDEEP': 'ideep4py' if use_ideep else 'none',
'CHAINER_BUILD_CHAINERX': '1' if build_chainerx else '0',
'CUB_DISABLED': '0' if use_cub else '1',
}
conf['requires'] += [
'attrs<19.2.0',
'pytest<4.2',
'pytest-timeout', # For timeout
'pytest-cov', # For coverage report
'nose',
'mock',
# coverage 5.0 causes error:
# "ModuleNotFoundError: No module named '_sqlite3'"
'coverage<5',
'coveralls',
'codecov',
]
argconfig.parse_args(args, env, conf, volume)
# inherit specified environment variable
for key in args.env:
env[key] = os.environ[key]
# coverage result is reported when the same type of a test is executed
if args.coverage_repo and args.coverage_repo in args.test:
argconfig.setup_coverage(args, env)
if args.interactive:
docker.run_interactive(
conf, no_cache=args.no_cache, volume=volume, env=env,
use_root=args.root)
else:
docker.run_with(
conf, script, no_cache=args.no_cache, volume=volume, env=env,
timeout=args.timeout, gpu_id=args.gpu_id, use_root=args.root)
