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py-torch-geometric: add v2.1.0 (#32822)

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* py-torch-geometric: add v2.1.0

* black

* Update homepage

* Add missing sklearn dep
This commit is contained in:
Adam J. Stewart
2022-09-27 15:47:45 -05:00
committed by GitHub
parent 67717c569e
commit 90b86a2266
1 changed files with 36 additions and 21 deletions
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57
var/spack/repos/builtin/packages/py-torch-geometric/package.py
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@@ -18,41 +18,56 @@ class PyTorchGeometric(PythonPackage):
your own), and helpful transforms, both for learning on arbitrary
graphs as well as on 3D meshes or point clouds."""
homepage = "https://github.com/rusty1s/pytorch_geometric"
url = "https://github.com/rusty1s/pytorch_geometric/archive/1.6.0.tar.gz"
homepage = "https://github.com/pyg-team/pytorch_geometric"
pypi = "torch-geometric/torch_geometric-2.1.0.post1.tar.gz"
version("1.6.3", sha256="1907c0f5eb7ab8f6f79a7e43703579b39b514501dd956ed0fc3d33210bcbb4c2")
version("1.6.0", sha256="7d5231cdcc2ebd4444f406cbf1537eb49bf90ab6f446eaf1b7af5cdbe105f3c9")
version(
"2.1.0.post1", sha256="32347402076ccf60fa50312825178f1e3e5ce5e7b3b3a8b2729ac699da24525d"
)
version("1.6.3", sha256="347f693bebcc8a621eda4867dafab91c04db5f596d7ed7ecb89b242f8ab5c6a1")
version("1.6.0", sha256="fbf43fe15421c9affc4fb361ba4db55cb9d3c64d0c29576bb58d332bf6d27fef")
variant("cuda", default=False, description="Enable CUDA support")
# setup.py
depends_on("python@3.7:", when="@2:", type=("build", "run"))
depends_on("python@3.6:", type=("build", "run"))
depends_on("py-setuptools", type="build")
depends_on("py-pytest-runner", type="build")
depends_on("py-torch", type=("build", "run"))
depends_on("py-numpy", type=("build", "run"))
depends_on("py-tqdm", type=("build", "run"))
depends_on("py-numpy", type=("build", "run"))
depends_on("py-scipy", type=("build", "run"))
depends_on("py-networkx", type=("build", "run"))
depends_on("py-scikit-learn", type=("build", "run"))
depends_on("py-numba", type=("build", "run"))
depends_on("py-python-louvain", type=("build", "run"), when="@1.6.2:")
depends_on("py-requests", type=("build", "run"))
depends_on("py-pandas", type=("build", "run"))
depends_on("py-rdflib", type=("build", "run"))
depends_on("py-googledrivedownloader", type=("build", "run"))
depends_on("py-h5py~mpi", type=("build", "run"))
depends_on("py-ase", type=("build", "run"))
depends_on("py-jinja2", type=("build", "run"))
depends_on("py-torch-sparse+cuda", when="+cuda", type=("build", "run"))
depends_on("py-requests", type=("build", "run"))
depends_on("py-pyparsing", when="@2:", type=("build", "run"))
depends_on("py-scikit-learn", type=("build", "run"))
# README.md
depends_on("py-torch-scatter+cuda", when="+cuda", type=("build", "run"))
depends_on("py-torch-cluster+cuda", when="+cuda", type=("build", "run"))
depends_on("py-torch-spline-conv+cuda", when="+cuda", type=("build", "run"))
depends_on("py-torch-sparse~cuda", when="~cuda", type=("build", "run"))
depends_on("py-torch-scatter~cuda", when="~cuda", type=("build", "run"))
depends_on("py-torch-sparse+cuda", when="+cuda", type=("build", "run"))
depends_on("py-torch-sparse~cuda", when="~cuda", type=("build", "run"))
# Optional dependencies
depends_on("py-torch-cluster+cuda", when="+cuda", type=("build", "run"))
depends_on("py-torch-cluster~cuda", when="~cuda", type=("build", "run"))
depends_on("py-torch-spline-conv+cuda", when="+cuda", type=("build", "run"))
depends_on("py-torch-spline-conv~cuda", when="~cuda", type=("build", "run"))
# Undocumented dependencies
depends_on("py-torch", type=("build", "run"))
# Historic or optional dependencies
with when("@:1"):
depends_on("py-pytest-runner", type="build")
depends_on("py-networkx", type=("build", "run"))
depends_on("py-python-louvain", type=("build", "run"), when="@1.6.2:")
depends_on("py-numba", type=("build", "run"))
depends_on("py-pandas", type=("build", "run"))
depends_on("py-rdflib", type=("build", "run"))
depends_on("py-googledrivedownloader", type=("build", "run"))
depends_on("py-h5py~mpi", type=("build", "run"))
depends_on("py-ase", type=("build", "run"))
def setup_build_environment(self, env):
if "+cuda" in self.spec:
cuda_arches = list(self.spec["py-torch"].variants["cuda_arch"].value)