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# Copyright 2013-2023 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)
import tempfile
from spack.package import *
class PyJaxlib(PythonPackage, CudaPackage):
"""XLA library for Jax"""
homepage = "https://github.com/google/jax"
url = "https://github.com/google/jax/archive/refs/tags/jaxlib-v0.1.74.tar.gz"
tmp_path = ""
buildtmp = ""
license("Apache-2.0")
version("0.4.3", sha256="2104735dc22be2b105e5517bd5bc6ae97f40e8e9e54928cac1585c6112a3d910")
version("0.3.22", sha256="680a6f5265ba26d5515617a95ae47244005366f879a5c321782fde60f34e6d0d")
version("0.1.74", sha256="bbc78c7a4927012dcb1b7cd135c7521f782d7dad516a2401b56d3190f81afe35")
variant("cuda", default=True, description="Build with CUDA")
# jaxlib/setup.py
depends_on("python@3.8:", when="@0.4:", type=("build", "run"))
depends_on("py-setuptools", type="build")
depends_on("py-numpy@1.20:", when="@0.3:", type=("build", "run"))
depends_on("py-numpy@1.18:", type=("build", "run"))
depends_on("py-scipy@1.5:", type=("build", "run"))
# .bazelversion
depends_on("bazel@5.1.1:5.9", when="@0.3:", type="build")
# https://github.com/google/jax/issues/8440
depends_on("bazel@4.1:4", when="@0.1", type="build")
# README.md
depends_on("cuda@11.4:", when="@0.4:+cuda")
depends_on("cuda@11.1:", when="@0.3+cuda")
# https://github.com/google/jax/issues/12614
depends_on("cuda@11.1:11.7.0", when="@0.1+cuda")
depends_on("cudnn@8.2:", when="@0.4:+cuda")
depends_on("cudnn@8.0.5:", when="+cuda")
# Historical dependencies
depends_on("py-absl-py", when="@:0.3", type=("build", "run"))
depends_on("py-flatbuffers@1.12:2", when="@0.1", type=("build", "run"))
conflicts(
"cuda_arch=none",
when="+cuda",
msg="Must specify CUDA compute capabilities of your GPU, see "
"https://developer.nvidia.com/cuda-gpus",
)
def patch(self):
self.tmp_path = tempfile.mkdtemp(prefix="spack")
self.buildtmp = tempfile.mkdtemp(prefix="spack")
filter_file(
"build --spawn_strategy=standalone",
f"""
# Limit CPU workers to spack jobs instead of using all HOST_CPUS.
build --spawn_strategy=standalone
build --local_cpu_resources={make_jobs}
""".strip(),
".bazelrc",
string=True,
)
filter_file(
'f"--output_path={output_path}",',
'f"--output_path={output_path}",'
f' "--sources_path={self.tmp_path}",'
' "--nohome_rc",'
' "--nosystem_rc",'
f' "--jobs={make_jobs}",',
"build/build.py",
string=True,
)
filter_file(
"args = parser.parse_args()",
"args, junk = parser.parse_known_args()",
"build/build_wheel.py",
string=True,
)
def install(self, spec, prefix):
args = []
args.append("build/build.py")
if "+cuda" in spec:
args.append("--enable_cuda")
args.append("--cuda_path={0}".format(self.spec["cuda"].prefix))
args.append("--cudnn_path={0}".format(self.spec["cudnn"].prefix))
capabilities = ",".join(
"{0:.1f}".format(float(i) / 10.0) for i in spec.variants["cuda_arch"].value
)
args.append("--cuda_compute_capabilities={0}".format(capabilities))
args.append(
"--bazel_startup_options="
"--output_user_root={0}".format(self.wrapped_package_object.buildtmp)
)
python(*args)
with working_dir(self.wrapped_package_object.tmp_path):
args = std_pip_args + ["--prefix=" + self.prefix, "."]
pip(*args)
remove_linked_tree(self.wrapped_package_object.tmp_path)
remove_linked_tree(self.wrapped_package_object.buildtmp)
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