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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 os
from spack.package import *
class Dihydrogen(CMakePackage, CudaPackage, ROCmPackage):
"""DiHydrogen is the second version of the Hydrogen fork of the
well-known distributed linear algebra library,
Elemental. DiHydrogen aims to be a basic distributed
multilinear algebra interface with a particular emphasis on the
needs of the distributed machine learning effort, LBANN."""
homepage = "https://github.com/LLNL/DiHydrogen.git"
url = "https://github.com/LLNL/DiHydrogen/archive/v0.1.tar.gz"
git = "https://github.com/LLNL/DiHydrogen.git"
tags = ["ecp", "radiuss"]
maintainers("bvanessen")
version("develop", branch="develop")
version("master", branch="master")
version("0.2.1", sha256="11e2c0f8a94ffa22e816deff0357dde6f82cc8eac21b587c800a346afb5c49ac")
version("0.2.0", sha256="e1f597e80f93cf49a0cb2dbc079a1f348641178c49558b28438963bd4a0bdaa4")
version("0.1", sha256="171d4b8adda1e501c38177ec966e6f11f8980bf71345e5f6d87d0a988fef4c4e")
variant("al", default=True, description="Builds with Aluminum communication library")
variant(
"developer",
default=False,
description="Enable extra warnings and force tests to be enabled.",
)
variant("half", default=False, description="Enable FP16 support on the CPU.")
variant(
"distconv",
default=False,
description="Support distributed convolutions: spatial, channel, " "filter.",
)
variant("nvshmem", default=False, description="Builds with support for NVSHMEM")
variant("openmp", default=False, description="Enable CPU acceleration with OpenMP threads.")
variant("rocm", default=False, description="Enable ROCm/HIP language features.")
variant("shared", default=True, description="Enables the build of shared libraries")
# Variants related to BLAS
variant(
"openmp_blas", default=False, description="Use OpenMP for threading in the BLAS library"
)
variant("int64_blas", default=False, description="Use 64bit integers for BLAS.")
variant(
"blas",
default="openblas",
values=("openblas", "mkl", "accelerate", "essl", "libsci"),
description="Enable the use of OpenBlas/MKL/Accelerate/ESSL/LibSci",
)
conflicts("~cuda", when="+nvshmem")
depends_on("mpi")
depends_on("catch2", type="test")
# Specify the correct version of Aluminum
depends_on("aluminum@0.4.0:0.4", when="@0.1 +al")
depends_on("aluminum@0.5.0:0.5", when="@0.2.0 +al")
depends_on("aluminum@0.7.0:0.7", when="@0.2.1 +al")
depends_on("aluminum@0.7.0:", when="@:0.0,0.2.1: +al")
# Add Aluminum variants
depends_on("aluminum +cuda +nccl +cuda_rma", when="+al +cuda")
depends_on("aluminum +rocm +rccl", when="+al +rocm")
depends_on("aluminum +ht", when="+al +distconv")
for arch in CudaPackage.cuda_arch_values:
depends_on("aluminum cuda_arch=%s" % arch, when="+al +cuda cuda_arch=%s" % arch)
depends_on("nvshmem cuda_arch=%s" % arch, when="+nvshmem +cuda cuda_arch=%s" % arch)
# variants +rocm and amdgpu_targets are not automatically passed to
# dependencies, so do it manually.
for val in ROCmPackage.amdgpu_targets:
depends_on("aluminum amdgpu_target=%s" % val, when="amdgpu_target=%s" % val)
depends_on("roctracer-dev", when="+rocm +distconv")
depends_on("cudnn", when="+cuda")
depends_on("cub", when="^cuda@:10")
# Note that #1712 forces us to enumerate the different blas variants
depends_on("openblas", when="blas=openblas")
depends_on("openblas +ilp64", when="blas=openblas +int64_blas")
depends_on("openblas threads=openmp", when="blas=openblas +openmp_blas")
depends_on("intel-mkl", when="blas=mkl")
depends_on("intel-mkl +ilp64", when="blas=mkl +int64_blas")
depends_on("intel-mkl threads=openmp", when="blas=mkl +openmp_blas")
depends_on("veclibfort", when="blas=accelerate")
conflicts("blas=accelerate +openmp_blas")
depends_on("essl", when="blas=essl")
depends_on("essl +ilp64", when="blas=essl +int64_blas")
depends_on("essl threads=openmp", when="blas=essl +openmp_blas")
depends_on("netlib-lapack +external-blas", when="blas=essl")
depends_on("cray-libsci", when="blas=libsci")
depends_on("cray-libsci +openmp", when="blas=libsci +openmp_blas")
# Distconv builds require cuda or rocm
conflicts("+distconv", when="~cuda ~rocm")
conflicts("+distconv", when="+half")
conflicts("+rocm", when="+half")
depends_on("half", when="+half")
generator = "Ninja"
depends_on("ninja", type="build")
depends_on("cmake@3.17.0:", type="build")
depends_on("spdlog", when="@:0.1,0.2:")
depends_on("llvm-openmp", when="%apple-clang +openmp")
# TODO: Debug linker errors when NVSHMEM is built with UCX
depends_on("nvshmem +nccl~ucx", when="+nvshmem")
# Idenfity versions of cuda_arch that are too old
# from lib/spack/spack/build_systems/cuda.py
illegal_cuda_arch_values = ["10", "11", "12", "13", "20", "21"]
for value in illegal_cuda_arch_values:
conflicts("cuda_arch=" + value)
@property
def libs(self):
shared = True if "+shared" in self.spec else False
return find_libraries("libH2Core", root=self.prefix, shared=shared, recursive=True)
def cmake_args(self):
spec = self.spec
args = [
"-DCMAKE_CXX_STANDARD=17",
"-DCMAKE_INSTALL_MESSAGE:STRING=LAZY",
"-DBUILD_SHARED_LIBS:BOOL=%s" % ("+shared" in spec),
"-DH2_ENABLE_ALUMINUM=%s" % ("+al" in spec),
"-DH2_ENABLE_CUDA=%s" % ("+cuda" in spec),
"-DH2_ENABLE_DISTCONV_LEGACY=%s" % ("+distconv" in spec),
"-DH2_ENABLE_OPENMP=%s" % ("+openmp" in spec),
"-DH2_ENABLE_FP16=%s" % ("+half" in spec),
"-DH2_DEVELOPER_BUILD=%s" % ("+developer" in spec),
]
if spec.version < Version("0.3"):
args.append("-DH2_ENABLE_HIP_ROCM=%s" % ("+rocm" in spec))
else:
args.append("-DH2_ENABLE_ROCM=%s" % ("+rocm" in spec))
if not spec.satisfies("^cmake@3.23.0"):
# There is a bug with using Ninja generator in this version
# of CMake
args.append("-DCMAKE_EXPORT_COMPILE_COMMANDS=ON")
if "+cuda" in spec:
if self.spec.satisfies("%clang"):
for flag in self.spec.compiler_flags["cxxflags"]:
if "gcc-toolchain" in flag:
args.append("-DCMAKE_CUDA_FLAGS=-Xcompiler={0}".format(flag))
if spec.satisfies("^cuda@11.0:"):
args.append("-DCMAKE_CUDA_STANDARD=17")
else:
args.append("-DCMAKE_CUDA_STANDARD=14")
archs = spec.variants["cuda_arch"].value
if archs != "none":
arch_str = ";".join(archs)
args.append("-DCMAKE_CUDA_ARCHITECTURES=%s" % arch_str)
if spec.satisfies("%cce") and spec.satisfies("^cuda+allow-unsupported-compilers"):
args.append("-DCMAKE_CUDA_FLAGS=-allow-unsupported-compiler")
if "+cuda" in spec:
args.append("-DcuDNN_DIR={0}".format(spec["cudnn"].prefix))
if spec.satisfies("^cuda@:10"):
if "+cuda" in spec or "+distconv" in spec:
args.append("-DCUB_DIR={0}".format(spec["cub"].prefix))
# Add support for OpenMP with external (Brew) clang
if spec.satisfies("%clang +openmp platform=darwin"):
clang = self.compiler.cc
clang_bin = os.path.dirname(clang)
clang_root = os.path.dirname(clang_bin)
args.extend(
[
"-DOpenMP_CXX_FLAGS=-fopenmp=libomp",
"-DOpenMP_CXX_LIB_NAMES=libomp",
"-DOpenMP_libomp_LIBRARY={0}/lib/libomp.dylib".format(clang_root),
]
)
if "+rocm" in spec:
args.extend(
[
"-DCMAKE_CXX_FLAGS=-std=c++17",
"-DHIP_ROOT_DIR={0}".format(spec["hip"].prefix),
"-DHIP_CXX_COMPILER={0}".format(self.spec["hip"].hipcc),
]
)
if "platform=cray" in spec:
args.extend(["-DMPI_ASSUME_NO_BUILTIN_MPI=ON"])
archs = self.spec.variants["amdgpu_target"].value
if archs != "none":
arch_str = ",".join(archs)
args.append(
"-DHIP_HIPCC_FLAGS=--amdgpu-target={0}"
" -g -fsized-deallocation -fPIC -std=c++17".format(arch_str)
)
args.extend(
[
"-DCMAKE_HIP_ARCHITECTURES=%s" % arch_str,
"-DAMDGPU_TARGETS=%s" % arch_str,
"-DGPU_TARGETS=%s" % arch_str,
]
)
if self.spec.satisfies("^essl"):
# IF IBM ESSL is used it needs help finding the proper LAPACK libraries
args.extend(
[
"-DLAPACK_LIBRARIES=%s;-llapack;-lblas"
% ";".join("-l{0}".format(lib) for lib in self.spec["essl"].libs.names),
"-DBLAS_LIBRARIES=%s;-lblas"
% ";".join("-l{0}".format(lib) for lib in self.spec["essl"].libs.names),
]
)
return args
def setup_build_environment(self, env):
if self.spec.satisfies("%apple-clang +openmp"):
env.append_flags("CPPFLAGS", self.compiler.openmp_flag)
env.append_flags("CFLAGS", self.spec["llvm-openmp"].headers.include_flags)
env.append_flags("CXXFLAGS", self.spec["llvm-openmp"].headers.include_flags)
env.append_flags("LDFLAGS", self.spec["llvm-openmp"].libs.ld_flags)
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