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120 lines
4.6 KiB
Python
120 lines
4.6 KiB
Python
# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class Arbor(CMakePackage, CudaPackage):
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"""Arbor is a high-performance library for computational neuroscience
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simulations."""
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homepage = "https://arbor-sim.org"
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git = "https://github.com/arbor-sim/arbor.git"
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url = "https://github.com/arbor-sim/arbor/releases/download/v0.8.1/arbor-v0.8.1-full.tar.gz"
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maintainers("bcumming", "brenthuisman", "haampie", "schmitts")
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version("master", branch="master", submodules=True)
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version(
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"0.8.1",
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sha256="caebf96676ace6a9c50436541c420ca4bb53f0639dcab825de6fa370aacf6baa",
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url="https://github.com/arbor-sim/arbor/releases/download/v0.8.1/arbor-v0.8.1-full.tar.gz",
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)
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version(
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"0.8",
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sha256="18df5600308841616996a9de93b55a105be0f59692daa5febd3a65aae5bc2c5d",
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url="https://github.com/arbor-sim/arbor/releases/download/v0.8/arbor-v0.8-full.tar.gz",
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)
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version(
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"0.7",
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sha256="c3a6b7193946aee882bb85f9c38beac74209842ee94e80840968997ba3b84543",
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url="https://github.com/arbor-sim/arbor/releases/download/v0.7/arbor-v0.7-full.tar.gz",
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)
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version(
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"0.6",
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sha256="4cd333b18effc8833428ddc0b99e7dc976804771bc85da90034c272c7019e1e8",
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url="https://github.com/arbor-sim/arbor/releases/download/v0.6/arbor-v0.6-full.tar.gz",
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)
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version(
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"0.5.2",
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sha256="290e2ad8ca8050db1791cabb6b431e7c0409c305af31b559e397e26b300a115d",
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url="https://github.com/arbor-sim/arbor/releases/download/v0.5.2/arbor-v0.5.2-full.tar.gz",
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)
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variant("assertions", default=False, description="Enable arb_assert() assertions in code.")
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variant("doc", default=False, description="Build documentation.")
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variant("mpi", default=False, description="Enable MPI support")
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variant("python", default=True, description="Enable Python frontend support")
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variant(
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"vectorize", default=False, description="Enable vectorization of computational kernels"
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)
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variant(
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"gpu_rng",
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default=False,
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description="Use GPU generated random numbers -- not bitwise equal to CPU version",
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when="+cuda",
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)
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# https://docs.arbor-sim.org/en/latest/install/build_install.html#compilers
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conflicts("%gcc@:8")
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conflicts("%clang@:9")
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# Cray compiler v9.2 and later is Clang-based.
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conflicts("%cce@:9.1")
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conflicts("%intel")
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depends_on("cmake@3.19:", type="build")
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# misc dependencies
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depends_on("fmt@7.1:", when="@0.5.3:") # required by the modcc compiler
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depends_on("fmt@9.1:", when="@0.7.1:")
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depends_on("pugixml@1.11:", when="@0.7.1:")
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depends_on("nlohmann-json")
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depends_on("random123")
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with when("+cuda"):
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depends_on("cuda@10:")
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depends_on("cuda@11:", when="@0.7.1:")
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# mpi
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depends_on("mpi", when="+mpi")
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depends_on("py-mpi4py", when="+mpi+python", type=("build", "run"))
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# python (bindings)
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extends("python", when="+python")
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depends_on("python@3.7:", when="+python", type=("build", "run"))
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depends_on("py-numpy", when="+python", type=("build", "run"))
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with when("+python"):
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depends_on("py-pybind11@2.6:", type=("build"))
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depends_on("py-pybind11@2.8.1:", when="@0.5.3:", type=("build"))
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depends_on("py-pybind11@2.10.1:", when="@0.7.1:", type=("build"))
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# sphinx based documentation
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depends_on("python@3.7:", when="+doc", type="build")
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depends_on("py-sphinx", when="+doc", type="build")
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depends_on("py-svgwrite", when="+doc", type="build")
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@property
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def build_targets(self):
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return ["all", "html"] if "+doc" in self.spec else ["all"]
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def cmake_args(self):
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args = [
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self.define_from_variant("ARB_WITH_ASSERTIONS", "assertions"),
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self.define_from_variant("ARB_WITH_MPI", "mpi"),
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self.define_from_variant("ARB_WITH_PYTHON", "python"),
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self.define_from_variant("ARB_VECTORIZE", "vectorize"),
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]
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if "+cuda" in self.spec:
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args.append("-DARB_GPU=cuda")
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args.append(self.define_from_variant("ARB_USE_GPU_RNG", "gpu_rng"))
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# query spack for the architecture-specific compiler flags set by its wrapper
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args.append("-DARB_ARCH=none")
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opt_flags = self.spec.target.optimization_flags(
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self.spec.compiler.name, self.spec.compiler.version
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)
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args.append("-DARB_CXX_FLAGS_TARGET=" + opt_flags)
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return args
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