1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
|
# Copyright 2013-2022 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
import sys
from spack.package import *
class Ginkgo(CMakePackage, CudaPackage, ROCmPackage):
"""High-performance linear algebra library for manycore systems,
with a focus on sparse solution of linear systems."""
homepage = "https://ginkgo-project.github.io/"
git = "https://github.com/ginkgo-project/ginkgo.git"
maintainers = ["tcojean", "hartwiganzt"]
tags = ["e4s"]
version("develop", branch="develop")
version("master", branch="master")
version("glu", branch="glu")
version("1.4.0", commit="f811917c1def4d0fcd8db3fe5c948ce13409e28e") # v1.4.0
version("1.3.0", commit="4678668c66f634169def81620a85c9a20b7cec78") # v1.3.0
version("1.2.0", commit="b4be2be961fd5db45c3d02b5e004d73550722e31") # v1.2.0
version("1.1.1", commit="08d2c5200d3c78015ac8a4fd488bafe1e4240cf5") # v1.1.1
version("1.1.0", commit="b9bec8225442b3eb2a85a870efa112ab767a17fb") # v1.1.0
version("1.0.0", commit="45244641e0c2b19ba33aecd25153c0bddbcbe1a0") # v1.0.0
variant("shared", default=True, description="Build shared libraries")
variant("full_optimizations", default=False, description="Compile with all optimizations")
variant("openmp", default=sys.platform != "darwin", description="Build with OpenMP")
variant("oneapi", default=False, description="Build with oneAPI support")
variant("develtools", default=False, description="Compile with develtools enabled")
variant("hwloc", default=False, description="Enable HWLOC support")
variant(
"build_type",
default="Release",
description="The build type to build",
values=("Debug", "Release"),
)
depends_on("cmake@3.9:", type="build")
depends_on("cuda@9:", when="+cuda")
depends_on("rocthrust", type="build", when="+rocm")
depends_on("hipsparse", type="link", when="+rocm")
depends_on("hipblas", type="link", when="+rocm")
depends_on("rocrand", type="link", when="+rocm")
depends_on("hwloc@2.1:", type="link", when="+hwloc")
depends_on("googletest", type="test")
depends_on("numactl", type="test", when="+hwloc")
depends_on("intel-oneapi-mkl", when="+oneapi")
depends_on("intel-oneapi-dpl", when="+oneapi")
conflicts("%gcc@:5.2.9")
conflicts("+rocm", when="@:1.1.1")
conflicts("+cuda", when="+rocm")
conflicts("+openmp", when="+oneapi")
# ROCm 4.1.0 breaks platform settings which breaks Ginkgo's HIP support.
conflicts("^hip@4.1.0:", when="@:1.3.0")
conflicts("^hipblas@4.1.0:", when="@:1.3.0")
conflicts("^hipsparse@4.1.0:", when="@:1.3.0")
conflicts("^rocthrust@4.1.0:", when="@:1.3.0")
# Skip smoke tests if compatible hardware isn't found
patch("1.4.0_skip_invalid_smoke_tests.patch", when="@master")
patch("1.4.0_skip_invalid_smoke_tests.patch", when="@1.4.0")
# Newer DPC++ compilers use the updated SYCL 2020 standard which change
# kernel attribute propagation rules. This doesn't work well with the
# initial Ginkgo oneAPI support.
patch("1.4.0_dpcpp_use_old_standard.patch", when="+oneapi @master")
patch("1.4.0_dpcpp_use_old_standard.patch", when="+oneapi @1.4.0")
def setup_build_environment(self, env):
spec = self.spec
if "+oneapi" in spec:
env.set("MKLROOT", join_path(spec["intel-oneapi-mkl"].prefix, "mkl", "latest"))
env.set("DPL_ROOT", join_path(spec["intel-oneapi-dpl"].prefix, "dpl", "latest"))
def cmake_args(self):
# Check that the have the correct C++ standard is available
if self.spec.satisfies("@:1.2.0"):
try:
self.compiler.cxx11_flag
except UnsupportedCompilerFlag:
raise InstallError("Ginkgo requires a C++11-compliant C++ compiler")
else:
try:
self.compiler.cxx14_flag
except UnsupportedCompilerFlag:
raise InstallError("Ginkgo requires a C++14-compliant C++ compiler")
cxx_is_dpcpp = os.path.basename(self.compiler.cxx) == "dpcpp"
if self.spec.satisfies("+oneapi") and not cxx_is_dpcpp:
raise InstallError(
"Ginkgo's oneAPI backend requires the" + "DPC++ compiler as main CXX compiler."
)
spec = self.spec
from_variant = self.define_from_variant
args = [
from_variant("GINKGO_BUILD_CUDA", "cuda"),
from_variant("GINKGO_BUILD_HIP", "rocm"),
from_variant("GINKGO_BUILD_OMP", "openmp"),
from_variant("BUILD_SHARED_LIBS", "shared"),
from_variant("GINKGO_JACOBI_FULL_OPTIMIZATIONS", "full_optimizations"),
from_variant("GINKGO_BUILD_HWLOC", "hwloc"),
from_variant("GINKGO_BUILD_DPCPP", "oneapi"),
from_variant("GINKGO_DEVEL_TOOLS", "develtools"),
# As we are not exposing benchmarks, examples, tests nor doc
# as part of the installation, disable building them altogether.
"-DGINKGO_BUILD_BENCHMARKS=OFF",
"-DGINKGO_BUILD_DOC=OFF",
"-DGINKGO_BUILD_EXAMPLES=OFF",
self.define("GINKGO_BUILD_TESTS", self.run_tests),
# Let spack handle the RPATH
"-DGINKGO_INSTALL_RPATH=OFF",
]
if self.run_tests:
args.append("-DGINKGO_USE_EXTERNAL_GTEST=ON")
if "+cuda" in spec:
archs = spec.variants["cuda_arch"].value
if archs != "none":
arch_str = ";".join(archs)
args.append("-DGINKGO_CUDA_ARCHITECTURES={0}".format(arch_str))
if "+rocm" in spec:
args.append("-DHIP_PATH={0}".format(spec["hip"].prefix))
args.append("-DHIP_CLANG_PATH={0}/bin".format(spec["llvm-amdgpu"].prefix))
args.append("-DHIP_CLANG_INCLUDE_PATH={0}/include".format(spec["llvm-amdgpu"].prefix))
args.append("-DHIPSPARSE_PATH={0}".format(spec["hipsparse"].prefix))
args.append("-DHIPBLAS_PATH={0}".format(spec["hipblas"].prefix))
args.append("-DHIPRAND_PATH={0}/hiprand".format(spec["rocrand"].prefix))
args.append("-DROCRAND_PATH={0}/rocrand".format(spec["rocrand"].prefix))
archs = self.spec.variants["amdgpu_target"].value
if archs != "none":
arch_str = ";".join(archs)
args.append("-DGINKGO_HIP_AMDGPU={0}".format(arch_str))
return args
@run_after("install")
def setup_build_tests(self):
"""Build and install the smoke tests."""
# For now only 1.4.0 and later releases support this scheme.
if self.spec.satisfies("@:1.3.0"):
return
with working_dir(self.build_directory):
make("test_install")
smoke_test_path = join_path(self.build_directory, "test", "test_install")
with working_dir(smoke_test_path):
make("install")
def test(self):
"""Run the smoke tests."""
# For now only 1.4.0 and later releases support this scheme.
if self.spec.satisfies("@:1.3.0"):
print("SKIPPED: smoke tests not supported with this Ginkgo version.")
return
# The installation process installs tests and associated data
# in a non-standard subdirectory. Consequently, those files must
# be manually copied to the test stage here.
install_tree(self.prefix.smoke_tests, self.test_suite.current_test_cache_dir)
# Perform the test(s) created by setup_build_tests.
files = [
("test_install", [r"REFERENCE", r"correctly detected and is complete"]),
("test_install_cuda", [r"CUDA", r"correctly detected and is complete"]),
("test_install_hip", [r"HIP", r"correctly detected and is complete"]),
]
for f, expected in files:
self.run_test(
f,
[],
expected,
skip_missing=True,
installed=False,
purpose="test: Running {0}".format(f),
work_dir=self.test_suite.current_test_cache_dir,
)
|
