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meson.build
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meson.build
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# This file is part of Leela Chess Zero.
# Copyright (C) 2018 The LCZero Authors
#
# Leela Chess is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Leela Chess is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Leela Chess. If not, see <http://www.gnu.org/licenses/>.
project('lc0', 'cpp',
default_options : ['cpp_std=c++14', 'b_ndebug=if-release'],
meson_version: '>=0.45')
cc = meson.get_compiler('cpp')
if cc.get_id() == 'clang'
# Thread safety annotation
add_project_arguments('-Wthread-safety', language : 'cpp')
endif
if cc.get_id() == 'clang' or cc.get_id() == 'gcc'
add_project_arguments('-Wextra', language : 'cpp')
add_project_arguments('-pedantic', language : 'cpp')
if get_option('buildtype') == 'release'
add_project_arguments('-march=native', language : 'cpp')
add_project_arguments('-mtune=native', language : 'cpp')
endif
endif
# Files to compile.
deps = []
files = []
includes = []
has_backends = false
#############################################################################
## Main files
#############################################################################
files += [
'src/engine.cc',
'src/chess/bitboard.cc',
'src/chess/board.cc',
'src/chess/position.cc',
'src/chess/uciloop.cc',
'src/mcts/node.cc',
'src/mcts/search.cc',
'src/neural/cache.cc',
'src/neural/encoder.cc',
'src/neural/factory.cc',
'src/neural/loader.cc',
'src/neural/network_check.cc',
'src/neural/network_mux.cc',
'src/neural/network_random.cc',
'src/neural/network_st_batch.cc',
'src/neural/writer.cc',
'src/selfplay/game.cc',
'src/selfplay/loop.cc',
'src/selfplay/tournament.cc',
'src/utils/commandline.cc',
'src/utils/optionsdict.cc',
'src/utils/optionsparser.cc',
'src/utils/random.cc',
'src/utils/string.cc',
'src/utils/transpose.cc',
]
includes += include_directories('src')
#############################################################################
## Platform specific files
############################################################################
if host_machine.system() == 'windows'
files += 'src/utils/filesystem.win32.cc'
else
files += 'src/utils/filesystem.posix.cc'
deps += [
cc.find_library('pthread'),
]
endif
#############################################################################
## BACKENDS
#############################################################################
if get_option('build_backends')
## ~~~~~~~~~~
## Tensorflow
## ~~~~~~~~~~
# Installed from https://github.com/FloopCZ/tensorflow_cc
tensorflow_include = get_option('tensorflow_include')
tensorflow_libdir = get_option('tensorflow_libdir')
tf_dl_lib = cc.find_library('dl', required: false)
tf_tensorflow_lib = cc.find_library('libtensorflow_cc',
dirs: tensorflow_libdir, required: false)
tf_protobuf_lib = cc.find_library('libprotobuf',
dirs: tensorflow_libdir, required: false)
if get_option('tf') and tf_dl_lib.found() and tf_tensorflow_lib.found() and tf_protobuf_lib.found()
includes += include_directories(
tensorflow_include,
tensorflow_include[0] + '/bazel-genfiles',
tensorflow_include[0] + '/tensorflow/contrib/makefile/downloads',
tensorflow_include[0] + '/tensorflow/contrib/makefile/downloads/eigen',
tensorflow_include[0] + '/tensorflow/contrib/makefile/downloads/gemmlowp',
tensorflow_include[0] + '/tensorflow/contrib/makefile/downloads/nsync/public',
tensorflow_include[0] + '/tensorflow/contrib/makefile/gen/protobuf-host/include',
is_system: true
)
deps += [tf_dl_lib, tf_tensorflow_lib, tf_protobuf_lib]
files += 'src/neural/network_tf.cc'
has_backends = true
endif
## ~~~~~
## Blas
## ~~~~~
has_blas = false
accelerate_lib = dependency('Accelerate', required: false)
mkl_libdirs = get_option('mkl_libdirs')
mkl_lib = cc.find_library('mkl_rt', dirs: mkl_libdirs, required: false)
openblas_lib = cc.find_library('openblas', required: false)
if get_option('blas') or get_option('opencl')
if get_option('mkl') and mkl_lib.found()
add_project_arguments('-DUSE_MKL', language : 'cpp')
includes += include_directories(get_option('mkl_include'))
deps += [ mkl_lib ]
has_blas = true
elif get_option('accelerate') and accelerate_lib.found()
includes += include_directories('/System/Library/Frameworks/Accelerate.framework/Frameworks/vecLib.framework/Headers')
deps += [ accelerate_lib ]
has_blas = true
elif get_option('openblas') and openblas_lib.found()
add_project_arguments('-DUSE_OPENBLAS', language : 'cpp')
includes += include_directories(get_option('openblas_include'))
deps += [ openblas_lib ]
has_blas = true
endif
endif
if get_option('blas') and has_blas
blas_files = [
'src/neural/blas/transforms.cc',
'src/neural/network_blas.cc'
]
files += blas_files
has_backends = true
endif
## ~~~~~
## OpenCL
## ~~~~~
has_opencl = false
opencl_libdirs = get_option('opencl_libdirs')
opencl_lib=cc.find_library('OpenCL', dirs: opencl_libdirs, required: false)
opencl_framework=dependency('OpenCL', required: false)
if opencl_framework.found()
deps += [ opencl_framework ]
has_opencl = true
elif opencl_lib.found()
deps += [ opencl_lib ]
has_opencl = true
endif
if get_option('opencl') and has_opencl
if has_blas
opencl_files = [
'src/neural/opencl/OpenCL.cc',
'src/neural/opencl/OpenCLTuner.cc',
'src/neural/network_opencl.cc',
]
if not get_option('blas')
opencl_files += 'src/neural/blas/transforms.cc'
endif
deps += dependency('boost', required: true)
includes += include_directories(get_option('opencl_include'))
files += opencl_files
has_backends = true
else
warning('The OpenCL backend requires a BLAS library')
endif
endif
## ~~~~~
## cuDNN
## ~~~~~
cudnn_libdirs = get_option('cudnn_libdirs')
cu_blas = cc.find_library('cublas', dirs: cudnn_libdirs, required: false)
cu_dnn = cc.find_library('cudnn', dirs: cudnn_libdirs, required: false)
cu_dart = cc.find_library('cudart', dirs: cudnn_libdirs, required: false)
nvcc = find_program('/usr/local/cuda-9.2/bin/nvcc',
'/usr/local/cuda-9.1/bin/nvcc',
'nvcc', required: false)
cuda_files = [
'src/neural/network_cudnn.cu',
]
if get_option('cudnn') and cu_blas.found() and cu_dnn.found() and cu_dart.found() and nvcc.found()
includes += include_directories(get_option('cudnn_include'))
deps += [cu_blas, cu_dnn, cu_dart]
cuda_arguments = ['-c', '@INPUT@', '-o', '@OUTPUT@',
'-I', meson.current_source_dir() + '/src']
if host_machine.system() == 'windows'
cuda_arguments += ['-Xcompiler', '-MD']
else
cuda_arguments += ['--std=c++14', '-Xcompiler', '-fPIC']
endif
foreach x : get_option('cudnn_include')
cuda_arguments += ['-I', x]
endforeach
if host_machine.system() == 'windows'
outputname = '@BASENAME@.obj'
else
outputname = '@BASENAME@.o'
endif
cuda_gen = generator(nvcc,
output: outputname,
arguments: cuda_arguments,
)
files += cuda_gen.process(cuda_files)
has_backends = true
endif
endif # if get_option('build_backends')
if not has_backends and get_option('build_backends')
error('''
No usable computation backends (cudnn/tensorflow/etc) are found.
If you want to build it with random only backend, pass
-D build_backends=false to a meson build.''')
endif
#############################################################################
## Dependencies
#############################################################################
## ~~~~
## zlib
## ~~~~
# Pick latest from https://wrapdb.mesonbuild.com/zlib and put into
# subprojects/zlib.wrap
deps += subproject('zlib').get_variable('zlib_dep')
## ~~~~~~~~
## Profiler
## ~~~~~~~~
if get_option('buildtype') != 'release'
deps += cc.find_library('libprofiler',
dirs: ['/usr/local/lib'], required: false)
endif
#############################################################################
## Main Executable
#############################################################################
executable('lc0', 'src/main.cc',
files, include_directories: includes, dependencies: deps, install: true)
### Tests
gtest = dependency('gtest', required: false)
test_deps = deps
if gtest.found()
test_deps += gtest
test('ChessBoard',
executable('chessboard_test', 'src/chess/board_test.cc',
files, include_directories: includes, dependencies: test_deps
))
test('HashCat',
executable('hashcat_test', 'src/utils/hashcat_test.cc',
files, include_directories: includes, dependencies: test_deps
))
endif