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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 PyTorchSparse(PythonPackage):
"""This package consists of a small extension library of
optimized sparse matrix operations with autograd support."""
homepage = "https://github.com/rusty1s/pytorch_sparse/"
url = "https://github.com/rusty1s/pytorch_sparse/archive/0.6.7.tar.gz"
license("MIT")
version("0.6.17", sha256="c964a70ed978bff65009250eb12fae96317c60c9a04d7d1b07f0beee8b4b9c22")
version("0.6.8", sha256="98f7ff1f0f9cd5031bc81c70c11970c3864545ae33677025a6efd2466a97e6f9")
version("0.6.7", sha256="0d038a1502548692972a085cd0496460b5d2050bb7328427add990f081d6c44d")
variant("cuda", default=False, description="Enable CUDA support")
depends_on("py-setuptools", type="build")
depends_on("py-pytest-runner", when="@:0.6.8", type="build")
depends_on("py-scipy", type=("build", "run"))
depends_on("py-torch", type=("build", "run"))
depends_on("py-torch-scatter+cuda", when="+cuda")
depends_on("py-torch-scatter~cuda", when="~cuda")
depends_on("parallel-hashmap", when="@0.6.17:")
def setup_build_environment(self, env):
if "+cuda" in self.spec:
cuda_arches = list(self.spec["py-torch"].variants["cuda_arch"].value)
for i, x in enumerate(cuda_arches):
cuda_arches[i] = "{0}.{1}".format(x[0:-1], x[-1])
env.set("TORCH_CUDA_ARCH_LIST", str.join(" ", cuda_arches))
env.set("FORCE_CUDA", "1")
env.set("CUDA_HOME", self.spec["cuda"].prefix)
else:
env.set("FORCE_CUDA", "0")
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