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py-torchvision: add variant to set image backend (#18500)

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Adam J. Stewart 2020-09-09 03:16:50 -05:00 committed by GitHub
parent 96364235e3
commit ba47a057f0
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1 changed files with 22 additions and 16 deletions
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var/spack/repos/builtin/packages/py-torchvision/package.py
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@ -3,8 +3,6 @@
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyTorchvision(PythonPackage):
"""The torchvision package consists of popular datasets, model
@ -12,6 +10,7 @@ class PyTorchvision(PythonPackage):
homepage = "https://github.com/pytorch/vision"
url = "https://github.com/pytorch/vision/archive/v0.7.0.tar.gz"
git = "https://github.com/pytorch/vision.git"
maintainers = ['adamjstewart']
import_modules = [
@ -21,6 +20,7 @@ class PyTorchvision(PythonPackage):
'torchvision.models.detection'
]
version('master', branch='master')
version('0.7.0', sha256='fa0a6f44a50451115d1499b3f2aa597e0092a07afce1068750260fa7dd2c85cb')
version('0.6.1', sha256='8173680a976c833640ecbd0d7e6f0a11047bf8833433e2147180efc905e48656')
version('0.6.0', sha256='02de11b3abe6882de4032ce86dab9c7794cbc84369b44d04e667486580f0f1f7')
@ -30,7 +30,11 @@ class PyTorchvision(PythonPackage):
version('0.4.0', sha256='c270d74e568bad4559fed4544f6dd1e22e2eb1c60b088e04a5bd5787c4150589')
version('0.3.0', sha256='c205f0618c268c6ed2f8abb869ef6eb83e5339c1336c243ad321a2f2a85195f0')
# See README.rst
# https://github.com/pytorch/vision#image-backend
variant('backend', default='pil', description='Image backend',
values=('pil', 'accimage', 'png', 'jpeg'), multi=False)
# https://github.com/pytorch/vision#installation
depends_on('python@3.6:', when='@0.7:', type=('build', 'run'))
depends_on('python@3.5:', when='@0.6.0:0.6.999', type=('build', 'run'))
depends_on('python@2.7:2.8,3.5:3.8', when='@0.5.0', type=('build', 'run'))
@ -41,7 +45,7 @@ class PyTorchvision(PythonPackage):
depends_on('py-numpy', type=('build', 'run'))
depends_on('py-six', when='@:0.5', type=('build', 'run'))
# See README.rst
# https://github.com/pytorch/vision#installation
depends_on('py-torch@1.6.0', when='@0.7.0', type=('build', 'link', 'run'))
depends_on('py-torch@1.5.1', when='@0.6.1', type=('build', 'link', 'run'))
depends_on('py-torch@1.5.0', when='@0.6.0', type=('build', 'link', 'run'))
@ -52,16 +56,12 @@ class PyTorchvision(PythonPackage):
depends_on('py-torch@1.1.0', when='@0.3.0', type=('build', 'link', 'run'))
depends_on('py-torch@:1.0.1', when='@0.2.2', type=('build', 'link', 'run'))
# TODO: Torchvision supports the following backends:
# * pillow
# * pillow-simd
# * accimage
# * libpng
# * libjpeg
# https://github.com/pytorch/vision/issues/1712
depends_on('pil@4.1.1:6', when='@:0.4', type=('build', 'run'))
depends_on('pil@4.1.1:', when='@0.5:', type=('build', 'run'))
depends_on('pil@4.1.1:6', when='@:0.4 backend=pil', type=('build', 'run'))
depends_on('pil@4.1.1:', when='@0.5: backend=pil', type=('build', 'run'))
depends_on('py-accimage', when='backend=accimage', type=('build', 'run'))
depends_on('libpng', when='backend=png')
depends_on('jpeg', when='backend=jpeg')
# Many of the datasets require additional dependencies to use.
# These can be installed after the fact.
@ -69,6 +69,9 @@ class PyTorchvision(PythonPackage):
depends_on('ffmpeg@3.1:', when='@0.4.2:')
conflicts('backend=png', when='@:0.7')
conflicts('backend=jpeg', when='@:0.7')
def setup_build_environment(self, env):
include = []
library = []
@ -78,9 +81,12 @@ def setup_build_environment(self, env):
library.extend(query.libs.directories)
# README says to use TORCHVISION_INCLUDE and TORCHVISION_LIBRARY,
# but these do not work. Build uses a mix of Spack's compiler wrapper
# and the actual compiler, so this is needed to get parts of the build
# working. See https://github.com/pytorch/vision/issues/2591
# but these do not work for older releases. Build uses a mix of
# Spack's compiler wrapper and the actual compiler, so this is
# needed to get parts of the build working.
# See https://github.com/pytorch/vision/issues/2591
env.set('TORCHVISION_INCLUDE', ':'.join(include))
env.set('TORCHVISION_LIBRARY', ':'.join(library))
env.set('CPATH', ':'.join(include))
env.set('LIBRARY_PATH', ':'.join(library))