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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')
endif
endif
# Files to compile.
deps = []
files = []
includes = []
has_backends = false
# Third party files.
includes += include_directories('third_party', is_system: true)
# Both protobuf and protoc must be the same version, so couple them together.
protobuf_lib = cc.find_library('libprotobuf', dirs : get_option('protobuf_libdir'), required : false)
if not protobuf_lib.found()
protobuf_dep = dependency('protobuf', required : false)
else
protobuf_dep = protobuf_lib
endif
protoc = find_program('protoc', required : false)
# For tensorflow skip system protobuf, chances are it will not work.
if not protobuf_dep.found() or not protoc.found() or get_option('tensorflow')
deps += subproject('protobuf').get_variable('protobuf_dep')
protoc = subproject('protobuf').get_variable('protoc')
else
deps += protobuf_dep
if protobuf_lib.found()
includes += include_directories(get_option('protobuf_include'))
endif
endif
gen = generator(protoc, output: ['@[email protected]', '@[email protected]'],
arguments : ['--proto_path=@CURRENT_SOURCE_DIR@/libs/lczero-common', '--cpp_out=@BUILD_DIR@', '@INPUT@'])
files += gen.process('libs/lczero-common/proto/net.proto',
preserve_path_from : meson.current_source_dir() + '/libs/lczero-common/')
#############################################################################
## Main files
#############################################################################
files += [
'src/engine.cc',
'src/version.cc',
'src/benchmark/benchmark.cc',
'src/chess/bitboard.cc',
'src/chess/board.cc',
'src/chess/position.cc',
'src/chess/uciloop.cc',
'src/mcts/node.cc',
'src/mcts/params.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_legacy.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/syzygy/syzygy.cc',
'src/utils/commandline.cc',
'src/utils/configfile.cc',
'src/utils/histogram.cc',
'src/utils/logging.cc',
'src/utils/optionsdict.cc',
'src/utils/optionsparser.cc',
'src/utils/random.cc',
'src/utils/string.cc',
'src/utils/transpose.cc',
'src/utils/weights_adapter.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)
if get_option('tensorflow') and tf_dl_lib.found() and tf_tensorflow_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]
files += 'src/neural/network_tf.cc'
has_backends = true
endif
## ~~~~~
## Blas
## ~~~~~
shared_files = []
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_libdirs = get_option('openblas_libdirs')
openblas_lib = cc.find_library('openblas.dll', dirs: openblas_libdirs, required: false)
if not openblas_lib.found()
openblas_lib = cc.find_library('openblas', dirs: openblas_libdirs, required: false)
endif
if get_option('blas')
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')
required_openblas_header = 'openblas_config.h'
if not cc.has_header(required_openblas_header)
openblas_headers_found = false
# add the first valid include directory
foreach d : get_option('openblas_include')
if not openblas_headers_found and cc.has_header(required_openblas_header, args: '-I' + d)
includes += include_directories(d)
openblas_headers_found = true
endif
endforeach
if not openblas_headers_found
error('Failed to detect OpenBLAS headers. Did you install libopenblas-dev?')
endif
endif
deps += [ openblas_lib ]
has_blas = true
endif
ispc = find_program('ispc', required: false)
ispc_extra_args = []
if has_blas and get_option('ispc') and ispc.found()
ispc_native_only = get_option('ispc_native_only')
if host_machine.system() == 'windows'
outputnames = [ '@[email protected]']
if not ispc_native_only
outputnames += ['@BASENAME@_sse2.obj', '@BASENAME@_sse4.obj',
'@BASENAME@_avx.obj', '@BASENAME@_avx11.obj',
'@BASENAME@_avx2.obj' ]
endif
else
ispc_extra_args += ['--pic']
outputnames = [ '@[email protected]']
if not ispc_native_only
outputnames += ['@BASENAME@_sse2.o', '@BASENAME@_sse4.o',
'@BASENAME@_avx.o', '@BASENAME@_avx11.o',
'@BASENAME@_avx2.o' ]
endif
endif
if ispc_native_only
ispc_target = 'host'
else
ispc_target = 'sse2-i32x8,sse4-i32x8,avx1-i32x8,avx1.1-i32x8,avx2-i32x8'
endif
iscp_gen = generator(ispc,
output: [ '@BASENAME@_ispc.h', outputnames ],
arguments: [ '-O2', '--wno-perf', '--arch=x86-64',
'--target=' + ispc_target,
'@INPUT@', '-o', '@OUTPUT1@' ,'-h', '@OUTPUT0@' ]
+ ispc_extra_args
)
endif
endif
if get_option('blas') and has_blas
blas_files = [
'src/neural/blas/convolution1.cc',
'src/neural/blas/fully_connected_layer.cc',
'src/neural/blas/se_unit.cc',
'src/neural/blas/network_blas.cc',
'src/neural/blas/winograd_convolution3.cc'
]
shared_files = [
'src/neural/shared/activation.cc',
'src/neural/shared/batchnorm.cc',
'src/neural/shared/winograd_filter.cc',
]
files += blas_files
has_backends = true
if get_option('ispc') and ispc.found()
files += iscp_gen.process('src/neural/blas/winograd_transform.ispc')
add_project_arguments('-DUSE_ISPC', language : 'cpp')
endif
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
opencl_files = [
'src/neural/opencl/network_opencl.cc',
'src/neural/opencl/OpenCL.cc',
'src/neural/opencl/OpenCLTuner.cc',
'src/neural/opencl/OpenCLBuffers.cc',
]
shared_files = [
'src/neural/shared/activation.cc',
'src/neural/shared/batchnorm.cc',
'src/neural/shared/winograd_filter.cc',
]
includes += include_directories(get_option('opencl_include'))
files += opencl_files
has_backends = true
endif
files += shared_files
## ~~~~~
## 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/bin/nvcc', '/opt/cuda/bin/nvcc',
'nvcc', required: false)
#.cc files
cuda_files = [
'src/neural/cuda/network_cudnn.cc',
'src/neural/cuda/layers.cc',
]
# .cu files compiled without any specific sm version
cuda_files_nvcc_common = [
'src/neural/cuda/common_kernels.cu',
]
# .cu files compiled with sm_70 (volta+). Only used by cudnn-fp16
cuda_files_nvcc_fp16 = [
'src/neural/cuda/fp16_kernels.cu',
]
if get_option('cudnn') and cu_blas.found() and cu_dnn.found() and cu_dart.found() and nvcc.found()
deps += [cu_blas, cu_dnn, cu_dart]
foreach d : get_option('cudnn_include')
if run_command('checkdir.py', d).returncode() == 0
includes += include_directories(d)
endif
endforeach
includes += include_directories('src/neural/cuda/')
cuda_arguments = ['@EXTRA_ARGS@', '-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 = '@[email protected]'
else
outputname = '@[email protected]'
endif
cuda_gen = generator(nvcc,
output: outputname,
arguments: cuda_arguments,
)
files += cuda_files
files += cuda_gen.process(cuda_files_nvcc_common)
files += cuda_gen.process(cuda_files_nvcc_fp16, extra_args: ['-arch=compute_70', '-code=sm_70'])
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 += dependency('zlib', fallback: ['zlib', 'zlib_dep'])
## ~~~~~~~~
## Profiler
## ~~~~~~~~
if get_option('buildtype') != 'release'
deps += cc.find_library('libprofiler',
dirs: ['/usr/local/lib'], required: false)
endif
#############################################################################
## Main Executable
#############################################################################
if not get_option('popcnt')
add_project_arguments('-DNO_POPCNT', language : 'cpp')
endif
executable('lc0', 'src/main.cc',
files, include_directories: includes, dependencies: deps, install: true)
### Tests
gtest = dependency('gtest', fallback: ['gtest', 'gtest_dep'], required: false)
if get_option('gtest') and gtest.found()
lc0_lib = library('lc0_lib', files, include_directories: includes, dependencies: deps)
test('ChessBoard',
executable('chessboard_test', 'src/chess/board_test.cc',
include_directories: includes, link_with: lc0_lib, dependencies: gtest
), args: '--gtest_output=xml:chessboard.xml', timeout: 90)
test('HashCat',
executable('hashcat_test', 'src/utils/hashcat_test.cc',
include_directories: includes, link_with: lc0_lib, dependencies: gtest
), args: '--gtest_output=xml:hashcat.xml', timeout: 90)
test('PositionTest',
executable('position_test', 'src/chess/position_test.cc',
include_directories: includes, link_with: lc0_lib, dependencies: gtest
), args: '--gtest_output=xml:position.xml', timeout: 90)
test('OptionsParserTest',
executable('optionsparser_test', 'src/utils/optionsparser_test.cc',
include_directories: includes, link_with: lc0_lib, dependencies: gtest
), timeout: 90)
test('SyzygyTest',
executable('syzygy_test', 'src/syzygy/syzygy_test.cc',
include_directories: includes, link_with: lc0_lib, dependencies: gtest
), args: '--gtest_output=xml:syzygy.xml', timeout: 90)
test('EncodePositionForNN',
executable('encoder_test', 'src/neural/encoder_test.cc',
include_directories: includes, link_with: lc0_lib, dependencies: gtest
), args: '--gtest_output=xml:encoder.xml', timeout: 90)
endif