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# Copyright 2013-2024 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):
"""Image and video datasets and models for torch deep learning."""
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")
license("BSD-3-Clause")
version("main", branch="main")
version("0.16.2", sha256="8c1f2951e98d8ada6e5a468f179af4be9f56d2ebc3ab057af873da61669806d7")
version("0.16.1", sha256="d31fe52e4540750c8d372b0f38f1bfa81d8261193f2c2c06577332831d203c50")
version("0.16.0", sha256="79b30b082237e3ead21e74587cedf4a4d832f977cf7dfeccfb65f67988b12ceb")
version("0.15.2", sha256="1efcb80e0a6e42c54f07ee16167839b4d302aeeecc12839cc47c74b06a2c20d4")
version("0.15.1", sha256="689d23d4ebb0c7e54e8651c89b17155b64341c14ae4444a04ca7dc6f2b6a0a43")
version("0.14.1", sha256="ced67e1cf1f97e168cdf271851a4d0b6d382ab7936e7bcbb39aaa87239c324b6")
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")
desc = "Enable support for native encoding/decoding of {} formats in torchvision.io"
variant("png", default=False, description=desc.format("PNG"))
variant("jpeg", default=False, description=desc.format("JPEG"))
variant("nvjpeg", default=False, description=desc.format("JPEG"))
variant("ffmpeg", default=False, description=desc.format("FFMPEG"))
variant("video_codec", default=False, description=desc.format("video_codec"))
# https://github.com/pytorch/vision#installation
depends_on("python@3.8:3.11", when="@0.15:", type=("build", "link", "run"))
depends_on("python@:3.10", when="@0.12:0.14", type=("build", "link", "run"))
depends_on("python@:3.9", when="@0.8.2:0.11", type=("build", "link", "run"))
depends_on("python@:3.8", when="@0.5:0.8.1", type=("build", "link", "run"))
# https://github.com/pytorch/vision#installation
depends_on("py-torch@main", when="@main", type=("build", "link", "run"))
depends_on("py-torch@2.1.2", when="@0.16.2", type=("build", "link", "run"))
depends_on("py-torch@2.1.1", when="@0.16.1", type=("build", "link", "run"))
depends_on("py-torch@2.1.0", when="@0.16.0", type=("build", "link", "run"))
depends_on("py-torch@2.0.1", when="@0.15.2", type=("build", "link", "run"))
depends_on("py-torch@2.0.0", when="@0.15.1", type=("build", "link", "run"))
depends_on("py-torch@1.13.1", when="@0.14.1", 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="@0.11.1", type=("build", "link", "run"))
depends_on("py-torch@1.10.0", when="@0.11.0", 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("ninja", type="build")
# setup.py
depends_on("py-setuptools", type="build")
depends_on("py-numpy", type=("build", "run"))
depends_on("py-requests", when="@0.12:", type=("build", "run"))
depends_on("pil@5.3:", when="@0.10:", type=("build", "run"))
depends_on("pil@4.1.1:", type=("build", "run"))
# Extensions
depends_on("libpng@1.6:", when="+png")
depends_on("jpeg", when="+jpeg")
depends_on("cuda", when="+nvjpeg")
depends_on("ffmpeg@3.1:", when="+ffmpeg")
depends_on("cuda", when="+video_codec")
# Historical dependencies
depends_on("py-typing-extensions", when="@0.12:0.14", type=("build", "run"))
depends_on("py-six", when="@:0.5", type=("build", "run"))
# https://github.com/pytorch/vision/pull/5898
conflicts("^pil@10:", when="@:0.12")
# https://github.com/pytorch/vision/issues/4146
# https://github.com/pytorch/vision/issues/4934
conflicts("^pil@8.3")
# https://github.com/pytorch/pytorch/issues/65000
conflicts("+ffmpeg", when="platform=darwin")
# https://github.com/pytorch/vision/issues/3367
conflicts("+ffmpeg", when="^python@3.9")
# https://github.com/pytorch/vision/pull/7378
conflicts("^ffmpeg@6:")
# https://github.com/pytorch/vision/issues/5616
# https://github.com/pytorch/vision/pull/5644
conflicts("^ffmpeg@5:", when="@:0.12")
# Many of the datasets require additional dependencies to use.
# These can be installed after the fact.
def setup_build_environment(self, env):
# The only documentation on building is what is found in setup.py and:
# https://github.com/pytorch/vision/blob/main/CONTRIBUTING.md#development-installation
# 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)
# Used by ninja
env.set("MAX_JOBS", make_jobs)
if "^cuda" in self.spec:
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)
for gpu in ["cuda", "mps"]:
env.set(f"FORCE_{gpu.upper()}", int(f"+{gpu}" in self.spec["py-torch"]))
for extension in ["png", "jpeg", "nvjpeg", "ffmpeg", "video_codec"]:
env.set(f"TORCHVISION_USE_{extension.upper()}", int(f"+{extension}" in self.spec))
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)
# CONTRIBUTING.md 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))
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