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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 PyTorchvision(PythonPackage):
"""The torchvision package consists of popular datasets, model
architectures, and common image transformations for computer vision."""
homepage = "https://github.com/pytorch/vision"
url = "https://github.com/pytorch/vision/archive/v0.8.2.tar.gz"
git = "https://github.com/pytorch/vision.git"
maintainers = ["adamjstewart"]
version("main", branch="main")
version("0.14.0", sha256="be1621c85c56eb40537cb74e6ec5d8e58ed8b69f8374a58bcb6ec413cb540c8b")
version("0.13.1", sha256="c32fab734e62c7744dadeb82f7510ff58cc3bca1189d17b16aa99b08afc42249")
version("0.13.0", sha256="2fe9139150800820d02c867a0b64b7c7fbc964d48d76fae235d6ef9215eabcf4")
version("0.12.0", sha256="99e6d3d304184895ff4f6152e2d2ec1cbec89b3e057d9c940ae0125546b04e91")
version("0.11.3", sha256="b4c51d27589783e6e6941ecaa67b55f6f41633874ec37f80b64a0c92c3196e0c")
version("0.11.2", sha256="55689c57c29f82438a133d0af3315991037be59c8e02471bdcaa31731154a714")
version("0.11.1", sha256="32a06ccf755e4d75006ce03701f207652747a63dbfdf65f0f20a1b6f93a2e834")
version("0.11.0", sha256="8e85acf8f5d39f27e92e610ccb506dac0bf4412bb366a318d2aa5f384cbd4d2c")
version("0.10.1", sha256="4d595cf0214c8adc817f8e3cd0043a027b52b481e05d67b04f4947fcb43d4277")
version("0.10.0", sha256="82bb2c2b03d8a65f4ea74bb0ee5566b0876a1992aceefb1e11475c7b5d2e857b")
version("0.9.2", sha256="b41fc99bbf18450750bcd1804393e7c09dc8d4873c6b7e544b11c70fda59cbc8")
version("0.9.1", sha256="79964773729880e0eee0e6af13f336041121d4cc8491a3e2c0e5f184cac8a718")
version("0.9.0", sha256="9351ed92aded632f8c7f59dfadac13c191a834babe682f5785ea47e6fcf6b472")
version("0.8.2", sha256="9a866c3c8feb23b3221ce261e6153fc65a98ce9ceaa71ccad017016945c178bf")
version("0.8.1", sha256="c46734c679c99f93e5c06654f4295a05a6afe6c00a35ebd26a2cce507ae1ccbd")
version("0.8.0", sha256="b5f040faffbfc7bac8d4687d8665bd1196937334589b3fb5fcf15bb69ca25391")
version("0.7.0", sha256="fa0a6f44a50451115d1499b3f2aa597e0092a07afce1068750260fa7dd2c85cb")
version("0.6.1", sha256="8173680a976c833640ecbd0d7e6f0a11047bf8833433e2147180efc905e48656")
version("0.6.0", sha256="02de11b3abe6882de4032ce86dab9c7794cbc84369b44d04e667486580f0f1f7")
version("0.5.0", sha256="eb9afc93df3d174d975ee0914057a9522f5272310b4d56c150b955c287a4d74d")
version("0.4.2", sha256="1184a27eab85c9e784bacc6f9d6fec99e168ab4eda6047ef9f709e7fdb22d8f9")
version("0.4.1", sha256="053689351272b3bd2ac3e6ba51efd284de0e4ca4a301f54674b949f1e62b7176")
version("0.4.0", sha256="c270d74e568bad4559fed4544f6dd1e22e2eb1c60b088e04a5bd5787c4150589")
version("0.3.0", sha256="c205f0618c268c6ed2f8abb869ef6eb83e5339c1336c243ad321a2f2a85195f0")
# https://github.com/pytorch/vision#image-backend
variant(
"backend",
default="pil",
description="Image backend",
values=[
"pil",
"accimage",
conditional("png", when="@0.8:"),
conditional("jpeg", when="@0.8:"),
],
multi=False,
)
# https://github.com/pytorch/vision#installation
depends_on("python@3.7:3.10", when="@0.12:", type=("build", "link", "run"))
depends_on("python@3.6:3.9", when="@0.8.2:0.11", type=("build", "link", "run"))
depends_on("python@3.6:3.8", when="@0.7:0.8.1", type=("build", "link", "run"))
depends_on("python@3.5:3.8", when="@0.6", type=("build", "link", "run"))
depends_on("python@2.7,3.5:3.8", when="@0.5", type=("build", "link", "run"))
depends_on("python@2.7,3.5:3.7", when="@:0.4", type=("build", "link", "run"))
depends_on("py-setuptools", type="build")
depends_on("ninja", type="build")
depends_on("py-typing-extensions", when="@0.12:", type=("build", "run"))
depends_on("py-numpy", type=("build", "run"))
depends_on("py-requests", when="@0.12:", type=("build", "run"))
depends_on("py-six", when="@:0.5", type=("build", "run"))
# https://github.com/pytorch/vision#installation
depends_on("py-torch@master", when="@main", type=("build", "link", "run"))
depends_on("py-torch@1.13.0", when="@0.14.0", type=("build", "link", "run"))
depends_on("py-torch@1.12.1", when="@0.13.1", type=("build", "link", "run"))
depends_on("py-torch@1.12.0", when="@0.13.0", type=("build", "link", "run"))
depends_on("py-torch@1.11.0", when="@0.12.0", type=("build", "link", "run"))
depends_on("py-torch@1.10.2", when="@0.11.3", type=("build", "link", "run"))
depends_on("py-torch@1.10.1", when="@0.11.2", type=("build", "link", "run"))
depends_on("py-torch@1.10.0", when="@0.11.0:0.11.1", type=("build", "link", "run"))
depends_on("py-torch@1.9.1", when="@0.10.1", type=("build", "link", "run"))
depends_on("py-torch@1.9.0", when="@0.10.0", type=("build", "link", "run"))
depends_on("py-torch@1.8.2", when="@0.9.2", type=("build", "link", "run"))
depends_on("py-torch@1.8.1", when="@0.9.1", type=("build", "link", "run"))
depends_on("py-torch@1.8.0", when="@0.9.0", type=("build", "link", "run"))
depends_on("py-torch@1.7.1", when="@0.8.2", type=("build", "link", "run"))
depends_on("py-torch@1.7.0", when="@0.8.1", type=("build", "link", "run"))
depends_on("py-torch@1.7.0", when="@0.8.0", type=("build", "link", "run"))
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"))
depends_on("py-torch@1.4.1", when="@0.5.0", type=("build", "link", "run"))
depends_on("py-torch@1.3.1", when="@0.4.2", type=("build", "link", "run"))
depends_on("py-torch@1.3.0", when="@0.4.1", type=("build", "link", "run"))
depends_on("py-torch@1.2.0", when="@0.4.0", type=("build", "link", "run"))
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"))
# https://github.com/pytorch/vision/issues/1712
depends_on("pil@4.1.1:6", when="@:0.4 backend=pil", type=("build", "run"))
depends_on("pil@4.1.1:9", when="@0.5: backend=pil", type=("build", "run"))
# https://github.com/pytorch/vision/issues/4146
# https://github.com/pytorch/vision/issues/4934
depends_on("pil@5.3:8.2,8.4:9", when="@0.10:0.12 backend=pil", type=("build", "run"))
# https://github.com/pytorch/vision/pull/5898
depends_on("pil@5.3:8.2,8.4:", when="@0.13: backend=pil", type=("build", "run"))
depends_on("py-accimage", when="backend=accimage", type=("build", "run"))
depends_on("libpng@1.6.0:", when="backend=png")
depends_on("jpeg") # seems to be required for all backends
depends_on("ffmpeg@3.1:", when="@0.4.2:")
# Many of the datasets require additional dependencies to use.
# These can be installed after the fact.
def setup_build_environment(self, env):
include = []
library = []
for dep in self.spec.dependencies(deptype="link"):
query = self.spec[dep.name]
include.extend(query.headers.directories)
library.extend(query.libs.directories)
# README says to use TORCHVISION_INCLUDE and TORCHVISION_LIBRARY,
# 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))
# By default, version is read from `version.txt`, but this includes an `a0`
# suffix used for alpha builds. Override the version for stable releases.
if not self.spec.satisfies("@main"):
env.set("BUILD_VERSION", self.version)
if "+cuda" in self.spec["py-torch"]:
env.set("FORCE_CUDA", 1)
env.set("CUDA_HOME", self.spec["cuda"].prefix)
torch_cuda_arch_list = ";".join(
"{0:.1f}".format(float(i) / 10.0)
for i in self.spec["py-torch"].variants["cuda_arch"].value
)
env.set("TORCH_CUDA_ARCH_LIST", torch_cuda_arch_list)
else:
env.set("FORCE_CUDA", 0)
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