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927 lines (810 loc) · 33.1 KB
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# This file is part of Leela Chess Zero.
# Copyright (C) 2018-2022 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++20', 'b_ndebug=if-release', 'warning_level=3', 'b_lto=true', 'b_vscrt=mt'],
meson_version: '>=0.57')
fs = import('fs')
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() != 'msvc'
if get_option('buildtype') == 'release'
if get_option('native_arch')
add_project_arguments(cc.get_supported_arguments(['-march=native']), language : 'cpp')
endif
endif
endif
if cc.get_id() == 'msvc'
# Silence some zlib warnings.
add_global_arguments('/wd4131', '/wd4267', '/wd4127', '/wd4244', '/wd4245', language : 'c')
endif
if host_machine.system() == 'windows'
add_project_arguments('-DNOMINMAX', language : 'cpp')
add_project_arguments(cc.get_supported_arguments(['/source-charset:utf-8']), language : 'cpp')
endif
if ['arm', 'aarch64'].contains(host_machine.cpu_family())
if get_option('neon')
add_project_arguments(cc.get_supported_arguments(['-mfpu=neon']), language : 'cpp')
add_project_link_arguments(cc.get_supported_arguments(['-mfpu=neon']), language : 'cpp')
endif
endif
# Files to compile.
deps = []
common_files = []
files = []
includes = []
has_backends = false
# Third party files.
includes += include_directories('third_party', is_system: true)
# Compiling protobufs.
compile_proto = find_program('scripts/compile_proto.py')
gen = generator(compile_proto, output: ['@BASENAME@.pb.h'],
arguments : [
'--proto_path=@CURRENT_SOURCE_DIR@',
'--cpp_out=@BUILD_DIR@',
'@INPUT@'])
pb_files = [
'src/utils/protomessage.cc',
gen.process('proto/net.proto', preserve_path_from : meson.current_source_dir())
]
common_files += pb_files
# Extract git short revision.
short_rev = 'unknown'
git = find_program('git', required: false)
if git.found()
r = run_command(git, 'rev-parse', '--short', 'HEAD', check : false)
if r.returncode() == 0
# Now let's check if the working directory is clean.
if run_command(git, 'diff-index', '--quiet', 'HEAD', check : false).returncode() == 0
short_rev = r.stdout().strip()
if run_command(git, 'describe', '--exact-match', '--tags', check : false).returncode() == 0
short_rev = ''
endif
else
short_rev = 'dirty'
warning('Cannot extract valid git short revision from dirty working directory.')
endif
else
warning('Failed to parse short revision. Use git clone instead of downloading the archive from GitHub.')
endif
endif
# Construct build identifier.
build_identifier = ''
if short_rev != ''
build_identifier = 'git.' + short_rev
message('Using build identifier "' + build_identifier + '".')
endif
conf_data = configuration_data()
conf_data.set_quoted('BUILD_IDENTIFIER', build_identifier)
configure_file(output: 'build_id.h', configuration: conf_data)
# Some malloc libraries require to be linked first.
if get_option('malloc') == 'mimalloc' and cc.get_id() == 'msvc'
if get_option('b_vscrt') != 'md' and get_option('b_vscrt') != 'mdd'
error('You need -Db_vscrt=md (or mdd)')
endif
add_project_link_arguments('/INCLUDE:mi_version', language : 'cpp')
deps += cc.find_library('mimalloc-override', dirs: get_option('mimalloc_libdir'), required: true)
elif get_option('malloc') != ''
deps += cc.find_library(get_option('malloc'), required: true)
endif
# ONNX and HLO protobufs.
files += gen.process('proto/onnx.proto',
preserve_path_from : meson.current_source_dir())
files += gen.process('proto/hlo.proto',
preserve_path_from : meson.current_source_dir())
#############################################################################
## Main files
#############################################################################
common_files += [
'src/chess/board.cc',
'src/chess/gamestate.cc',
'src/chess/position.cc',
'src/chess/uciloop.cc',
'src/neural/backend.cc',
'src/neural/batchsplit.cc',
'src/neural/decoder.cc',
'src/neural/encoder.cc',
'src/neural/factory.cc',
'src/neural/loader.cc',
'src/neural/register.cc',
'src/neural/shared_params.cc',
'src/neural/wrapper.cc',
'src/search/classic/node.cc',
'src/syzygy/syzygy.cc',
'src/trainingdata/reader.cc',
'src/trainingdata/trainingdata.cc',
'src/trainingdata/writer.cc',
'src/utils/commandline.cc',
'src/utils/configfile.cc',
'src/utils/esc_codes.cc',
'src/utils/files.cc',
'src/utils/logging.cc',
'src/utils/optionsdict.cc',
'src/utils/optionsparser.cc',
'src/utils/random.cc',
'src/utils/string.cc',
'src/version.cc',
]
files += [
'src/engine_loop.cc',
'src/engine.cc',
'src/neural/backends/network_check.cc',
'src/neural/backends/network_demux.cc',
'src/neural/backends/network_mux.cc',
'src/neural/backends/network_random.cc',
'src/neural/backends/network_record.cc',
'src/neural/backends/network_rr.cc',
'src/neural/backends/network_trivial.cc',
'src/neural/memcache.cc',
'src/neural/network_legacy.cc',
'src/neural/onnx/adapters.cc',
'src/neural/onnx/builder.cc',
'src/neural/onnx/converter.cc',
'src/neural/xla/hlo_builder.cc',
'src/neural/xla/onnx2hlo.cc',
'src/neural/xla/print_hlo.cc',
'src/neural/xla/xla_tensor.cc',
'src/search/classic/params.cc',
'src/search/classic/search.cc',
'src/search/classic/stoppers/alphazero.cc',
'src/search/classic/stoppers/common.cc',
'src/search/classic/stoppers/factory.cc',
'src/search/classic/stoppers/legacy.cc',
'src/search/classic/stoppers/simple.cc',
'src/search/classic/stoppers/smooth.cc',
'src/search/classic/stoppers/stoppers.cc',
'src/search/classic/stoppers/timemgr.cc',
'src/search/classic/wrapper.cc',
'src/search/register.cc',
'src/selfplay/game.cc',
'src/selfplay/loop.cc',
'src/selfplay/multigame.cc',
'src/selfplay/tournament.cc',
'src/tools/backendbench.cc',
'src/tools/benchmark.cc',
'src/tools/describenet.cc',
'src/tools/leela2onnx.cc',
'src/tools/onnx2leela.cc',
'src/utils/histogram.cc',
'src/utils/numa.cc',
'src/utils/weights_adapter.cc',
]
files += [
'src/search/instamove/instamove.cc',
]
includes += include_directories('src')
deps += dependency('absl_flat_hash_map',
include_type: 'system',
fallback: ['abseil-cpp', 'absl_container_dep'],
default_options : ['warning_level=0', 'cpp_std=c++20'])
deps += dependency('threads')
#############################################################################
## Platform specific files
############################################################################
if host_machine.system() == 'windows'
common_files += 'src/utils/filesystem.win32.cc'
else
common_files += 'src/utils/filesystem.posix.cc'
endif
#############################################################################
## DAG CLASSIC SEARCH
#############################################################################
if get_option('dag_classic')
files += [
'src/search/dag_classic/node.cc',
'src/search/dag_classic/search.cc',
'src/search/dag_classic/wrapper.cc',
]
endif
#############################################################################
## BACKENDS
#############################################################################
if get_option('build_backends')
## ~~~~~~~~~~
## Tensorflow
## ~~~~~~~~~~
tf_dl_lib = cc.find_library('dl', required: false)
# We had `is_system: true` to reduce warnings, but meson > 0.56.0 breaks.
tf_tensorflow_cc_lib = dependency('tensorflow_cc', required: false)
if get_option('tensorflow') and tf_dl_lib.found() and tf_tensorflow_cc_lib.found()
deps += [tf_dl_lib, tf_tensorflow_cc_lib]
files += 'src/neural/backends/network_tf_cc.cc'
has_backends = true
endif
## ~~~~~
## Blas
## ~~~~~
shared_files = []
accelerate_lib = dependency('Accelerate', required: false)
mkl_libdirs = get_option('mkl_libdirs')
mkl_lib = cc.find_library('mkl_rt', dirs: mkl_libdirs, required: false)
if not mkl_lib.found()
mkl_lib = cc.find_library('mklml', dirs: mkl_libdirs, required: false)
endif
dnnl_libdirs = [get_option('dnnl_dir') + '/lib64', get_option('dnnl_dir') + '/lib']
dnnl_lib = cc.find_library('dnnl', dirs: dnnl_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()
mkl_inc = get_option('mkl_include')
if run_command('scripts/checkdir.py', mkl_inc, check : false).returncode() == 0
includes += include_directories(mkl_inc)
endif
if cc.has_header('mkl.h')
add_project_arguments(['-DUSE_MKL', '-DUSE_BLAS'], language : 'cpp')
deps += [ mkl_lib ]
endif
elif get_option('dnnl') and dnnl_lib.found()
add_project_arguments(['-DUSE_DNNL', '-DUSE_BLAS'], language : 'cpp')
includes += include_directories(get_option('dnnl_dir') + '/include')
deps += [ dnnl_lib, dependency('openmp', required:true) ]
elif get_option('accelerate') and accelerate_lib.found()
deps += [ accelerate_lib ]
add_project_arguments('-DUSE_BLAS', language : 'cpp')
elif get_option('openblas') and openblas_lib.found()
add_project_arguments(['-DUSE_OPENBLAS', '-DUSE_BLAS'], 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 ]
endif
eigen_dep = dependency('eigen3')
# Check for needed header, bad dependency seen in the widl.
if eigen_dep.found() and cc.has_header('Eigen/Core', dependencies: eigen_dep)
deps += eigen_dep.as_system()
else
deps += subproject('eigen').get_variable('eigen_dep').as_system()
endif
ispc = find_program('ispc', required: false)
ispc_arch = 'x86-64'
ispc_extra_args = []
if get_option('ispc') and ispc.found()
ispc_native_only = get_option('ispc_native_only') and not meson.is_cross_build()
if host_machine.system() == 'windows'
outputnames = [ '@BASENAME@.obj']
if not ispc_native_only
outputnames += ['@BASENAME@_sse2.obj', '@BASENAME@_sse4.obj',
'@BASENAME@_avx.obj', '@BASENAME@_avx2.obj',
'@BASENAME@_avx512knl.obj', '@BASENAME@_avx512skx.obj' ]
endif
else
ispc_extra_args += ['--pic']
outputnames = [ '@BASENAME@.o']
if not ispc_native_only
outputnames += ['@BASENAME@_sse2.o', '@BASENAME@_sse4.o',
'@BASENAME@_avx.o', '@BASENAME@_avx2.o',
'@BASENAME@_avx512knl.o', '@BASENAME@_avx512skx.o' ]
endif
endif
ispc_target = 'sse2-i32x8,sse4-i32x8,avx1-i32x8,avx2-i32x8,avx512knl-i32x16,avx512skx-i32x16'
if host_machine.system() == 'android'
ispc_extra_args += ['--target-os=android']
endif
if ['arm', 'aarch64'].contains(host_machine.cpu_family())
outputnames = [ '@BASENAME@.o']
if host_machine.cpu_family() == 'aarch64'
ispc_target = 'neon-i32x8'
ispc_arch = 'aarch64'
else
ispc_target = 'neon-i32x4'
ispc_arch = 'arm'
endif
endif
if ispc_native_only
ispc_target = 'host'
endif
iscp_gen = generator(ispc,
output: [ '@BASENAME@_ispc.h', outputnames ],
arguments: [ '-O2', '--wno-perf', '--arch=' + ispc_arch,
'--target=' + ispc_target,
'@INPUT@', '-o', '@OUTPUT1@' ,'-h', '@OUTPUT0@' ]
+ ispc_extra_args
)
endif
blas_files = [
'src/neural/backends/blas/convolution1.cc',
'src/neural/backends/blas/fully_connected_layer.cc',
'src/neural/backends/blas/se_unit.cc',
'src/neural/backends/blas/network_blas.cc',
'src/neural/backends/blas/winograd_convolution3.cc'
]
shared_files = [
'src/neural/backends/shared/activation.cc',
'src/neural/backends/shared/winograd_filter.cc',
]
files += blas_files
has_backends = true
if get_option('ispc') and ispc.found()
files += iscp_gen.process('src/neural/backends/blas/winograd_transform.ispc')
files += iscp_gen.process('src/neural/backends/blas/layer_norm.ispc')
files += iscp_gen.process('src/neural/backends/shared/activation.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', method: 'extraframework', required: false)
if opencl_framework.found()
opencl_dep = [ opencl_framework ]
has_opencl = true
elif opencl_lib.found() and cc.has_header('CL/opencl.h', args: '-I' + get_option('opencl_include'))
opencl_dep = [ opencl_lib ]
has_opencl = true
endif
if get_option('opencl') and has_opencl
opencl_files = [
'src/neural/backends/opencl/network_opencl.cc',
'src/neural/backends/opencl/OpenCL.cc',
'src/neural/backends/opencl/OpenCLTuner.cc',
'src/neural/backends/opencl/OpenCLBuffers.cc',
]
shared_files = [
'src/neural/backends/shared/activation.cc',
'src/neural/backends/shared/winograd_filter.cc',
]
if not opencl_framework.found()
includes += include_directories(get_option('opencl_include'))
endif
deps += opencl_dep
files += opencl_files
has_backends = true
endif
files += shared_files
## ~~~~~
## cuDNN
## ~~~~~
cudnn_libdirs = get_option('cudnn_libdirs')
nvcc_paths = []
foreach p : cudnn_libdirs
nvcc_paths += fs.parent(p) + '/bin/nvcc'
endforeach
nvcc_paths += ['nvcc', '/usr/local/cuda/bin/nvcc', '/opt/cuda/bin/nvcc']
message('Looking for nvcc in: ' + ', '.join(nvcc_paths))
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(nvcc_paths,
required: false)
if (get_option('cudnn') or get_option('plain_cuda')) and cu_blas.found() and cu_dart.found() and nvcc.found()
deps += [cu_blas, cu_dart]
cuda_files = ['src/neural/backends/cuda/layers.cc']
if get_option('cudnn') and cu_dnn.found()
deps += cu_dnn
cuda_files += 'src/neural/backends/cuda/network_cudnn.cc'
cuda_files += 'src/neural/backends/cuda/network_cuda.cc' # To support newer nets.
add_project_arguments('-DUSE_CUDNN', language : 'cpp')
elif get_option('plain_cuda')
cuda_files += 'src/neural/backends/cuda/network_cuda.cc'
endif
foreach d : get_option('cudnn_include')
if run_command('scripts/checkdir.py', d, check : false).returncode() == 0
includes += include_directories(d, is_system: true)
endif
endforeach
includes += include_directories('src/neural/backends/cuda/')
cuda_arguments = ['-c', '@INPUT@', '-o', '@OUTPUT@',
'-I', meson.current_source_dir() + '/src']
nvcc_help = run_command(nvcc, '-h', check : false).stdout()
if host_machine.system() == 'windows'
if get_option('b_vscrt') == 'mt'
cuda_arguments += ['-Xcompiler', '-MT']
elif get_option('b_vscrt') == 'mtd'
cuda_arguments += ['-Xcompiler', '-MTd']
elif get_option('b_vscrt') == 'mdd' or (get_option('b_vscrt') == 'from_buildtype' and get_option('buildtype') == 'debug')
cuda_arguments += ['-Xcompiler', '-MDd']
elif get_option('b_vscrt') != 'none'
cuda_arguments += ['-Xcompiler', '-MD']
endif
else
cuda_arguments += ['--std=c++17', '-Xcompiler', '-fPIC']
if get_option('debug')
cuda_arguments += ['-g']
endif
endif
if get_option('nvcc_ccbin') != ''
cuda_arguments += ['-ccbin=' + get_option('nvcc_ccbin')]
endif
cuda_cc = get_option('cc_cuda') # Unfortunately option cuda_cc is reserved.
nvcc_extra_args = []
if cuda_cc != ''
nvcc_extra_args = ['-arch=compute_' + cuda_cc, '-code=sm_' + cuda_cc]
elif get_option('native_cuda') and nvcc_help.contains('-arch=native')
nvcc_extra_args = ['-arch=native']
elif nvcc_help.contains('-arch=all-major')
nvcc_extra_args = ['-arch=all-major', '-Wno-deprecated-gpu-targets']
else
nvcc_extra_args = ['-Wno-deprecated-gpu-targets']
# Fallback for cuda versions without -arch=all-major.
foreach x : ['35', '50', '60', '70', '80']
if nvcc_help.contains('sm_' + x)
nvcc_extra_args += '-gencode=arch=compute_' + x + ',code=sm_' + x
endif
endforeach
# For forward compatibility.
if nvcc_help.contains('sm_80') # Cuda 11+
nvcc_extra_args += '-gencode=arch=compute_80,code=compute_80'
elif nvcc_help.contains('sm_75') # Cuda 10+
nvcc_extra_args += '-gencode=arch=compute_75,code=compute_75'
endif
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
files += cuda_files
files += custom_target('cuda fp32 code',
input : 'src/neural/backends/cuda/common_kernels.cu',
output : outputname,
depend_files: 'src/neural/backends/cuda/winograd_helper.inc',
command : [nvcc, nvcc_extra_args, cuda_arguments]
)
files += custom_target('cuda fp16 code',
input : 'src/neural/backends/cuda/fp16_kernels.cu',
output : outputname,
depend_files: 'src/neural/backends/cuda/winograd_helper.inc',
command : [nvcc, nvcc_extra_args, cuda_arguments]
)
has_backends = true
endif
## ~~~~~~~~
## DirectX
## ~~~~~~~~
# we should always be able to build DirectX12 backend on windows platform
if host_machine.system() == 'windows' and get_option('dx')
dx_d3d12 = cc.find_library('d3d12')
dx_dxgi = cc.find_library('dxgi')
dx_files = [
'src/neural/backends/dx/network_dx.cc',
'src/neural/backends/dx/shader_wrapper.cc',
'src/neural/backends/dx/layers_dx.cc',
]
files += dx_files
deps += [dx_d3d12, dx_dxgi]
subdir('src/neural/backends/dx/shaders')
has_backends = true
endif
if get_option('onednn') and dnnl_lib.found()
includes += include_directories(get_option('dnnl_dir') + '/include')
deps += [ dnnl_lib, dependency('openmp', required:true) ]
files += [
'src/neural/backends/onednn/network_onednn.cc',
'src/neural/backends/onednn/layers.cc',
]
has_backends = true
endif
## ~~~~~~~~~~
## ONNX
## ~~~~~~~~~~
onnxruntime = cc.find_library('onnxruntime', dirs: get_option('onnx_libdir'),
required: false)
if get_option('onnx') and onnxruntime.found() and\
run_command('scripts/checkdir.py', get_option('onnx_include'), check: false).returncode() == 0
deps += onnxruntime
includes += include_directories(get_option('onnx_include'), is_system: true)
cc.has_header('onnxruntime_cxx_api.h', required: true,
args: '-I' + get_option('onnx_include'))
if not cc.has_header('cpu_provider_factory.h',
args: '-I' + get_option('onnx_include'))
cc.has_header('../providers/cpu/cpu_provider_factory.h', required: true,
args: '-I' + get_option('onnx_include'))
includes += include_directories(get_option('onnx_include') + '/../providers/cpu',
is_system: true)
endif
files += 'src/neural/backends/network_onnx.cc'
if cc.find_library('onnxruntime_providers_rocm',
dirs: get_option('onnx_libdir'), required: false).found()
add_project_arguments('-DUSE_ROCM', language : 'cpp')
endif
if get_option('cudnn') or get_option('plain_cuda') and cu_dart.found() and nvcc.found()
add_project_arguments('-DUSE_ONNX_CUDART=1', language : 'cpp')
deps += cu_dart
foreach d : get_option('cudnn_include')
if run_command('scripts/checkdir.py', d, check : false).returncode() == 0
includes += include_directories(d, is_system: true)
endif
endforeach
files += custom_target('cuda onnx code',
input : 'src/neural/backends/cuda/onnx.cu',
output : outputname,
command : [nvcc, nvcc_extra_args, cuda_arguments]
)
else
warning('No CUDA support build. Using compatibility implementation for onnx-trt and onnx-cuda. Enable plain_cuda to use CUDA optimizations.')
endif
has_backends = true
endif
## ~~~~~~~~
## Metal
## ~~~~~~~~
# Metal backend only available on MacOS.
# Check for required frameworks - Foundation, Metal and MPS.
metal_frameworks = dependency('appleframeworks',
modules : ['Foundation', 'Metal', 'MetalPerformanceShaders', 'MetalPerformanceShadersGraph'],
required: get_option('metal'))
if metal_frameworks.found() and add_languages('objc', 'objcpp', native: false)
deps += metal_frameworks
files += [
'src/neural/backends/metal/network_metal.cc',
'src/neural/backends/metal/mps/NetworkGraph.mm',
'src/neural/backends/metal/mps/MetalNetworkBuilder.mm',
]
has_backends = true
add_project_arguments('-fobjc-arc', language : 'objc')
add_project_arguments('-fobjc-arc', language : 'objcpp')
# Minimum MacOS version = 12.6.1
macos_min_version = '12.6'
add_project_arguments(
'-mmacosx-version-min=' + macos_min_version,
language: ['c', 'cpp', 'objc', 'objcpp']
)
endif
## ~~~~~~~~
## XLA
## ~~~~~~~~
if get_option('xla')
files += [
'src/neural/backends/xla/network_xla.cc',
'src/neural/backends/xla/pjrt.cc',
'src/neural/backends/xla/xla_runner.cc',
]
deps += cc.find_library('dl', required: false)
has_backends = true
endif
## ~~~~
## Sycl
## ~~~~
if get_option('sycl') != 'off'
has_backends = true
message('Building SYCL')
add_project_arguments('-fsycl', language : 'cpp')
add_project_link_arguments('-fsycl', language : 'cpp')
files += 'src/neural/backends/sycl/layers.cc.dp.cpp'
files += 'src/neural/backends/sycl/network_sycl.cc.dp.cpp'
files += 'src/neural/backends/sycl/common_kernels.dp.cpp'
files += 'src/neural/backends/sycl/fp16_kernels.dp.cpp'
if get_option('sycl') == 'l0'
message('Building SYCL for the L0 backend')
add_project_arguments('-DMKL_ILP64', language : 'cpp')
deps += cc.find_library('mkl_sycl', required: true)
deps += cc.find_library('mkl_intel_ilp64', required: true)
deps += cc.find_library('mkl_sequential', required: true)
deps += cc.find_library('mkl_core', required: true)
deps += cc.find_library('OpenCL', required: true)
elif get_option('sycl') == 'amd'
hip_libdirs = get_option('hip_libdirs')
hip_args = []
foreach hip_include : get_option('hip_include')
if run_command('scripts/checkdir.py', hip_include, check : false).returncode() == 0
includes += include_directories(hip_include, is_system: true)
hip_args += '-I' + hip_include
endif
endforeach
deps += cc.find_library('hipblas', dirs: hip_libdirs, required: true)
cc.has_header('hipblas/hipblas.h', required: true, args: hip_args)
deps += cc.find_library('amdhip64', dirs: hip_libdirs, required: true)
cc.has_header('hip/hip_runtime.h', required: true, args: hip_args)
add_project_arguments('-DUSE_HIPBLAS=ON', language : 'cpp')
add_project_arguments('-D__HIP_PLATFORM_AMD__', language : 'cpp')
amd_gfx = get_option('amd_gfx')
if amd_gfx == ''
amd_gfx = []
agent_enum = find_program('rocm_agent_enumerator', '/opt/rocm/bin/rocm_agent_enumerator',
required: false)
if not agent_enum.found()
warning( '\'rocm_agent_enumerator\' not found. AMD GPU detection doesn\'t work. You can install rocminfo or set -Damd_gfx.')
elif meson.version().version_compare('<1.2.0')
warning( 'Automatic AMD GPU detection requires Meson 1.2.0')
else
agents = run_command(agent_enum, check : false).stdout()
agent_list = agents.splitlines()
foreach agent : agent_list
if agent.startswith('gfx')
amd_gfx += 'amd_gpu_' + agent
else
error( '\'' + agent_enum.full_path() + '\' unexpected output: ' + agent)
endif
endforeach
if amd_gfx.length() == 0
warning( '\'' + agent_enum.full_path() + '\' failed to detect any AMD GPUs in the system.')
else
message( 'Detected AMD GPU cores: ' + ','.join(amd_gfx))
endif
endif
else
amd_gfx = ['amd_gpu_' + amd_gfx]
endif
if amd_gfx.length() == 0
error('-Dsycl=amd requires specifying -Damd_gfx architecture identifier (e.g. gfx90a, gfx1100 or similar)')
endif
add_project_arguments('-fsycl-targets=' + ','.join(amd_gfx), language : 'cpp')
add_project_link_arguments('-fsycl-targets=' + ','.join(amd_gfx), language : 'cpp')
else
deps += cc.find_library('cublas', required: true)
deps += cc.find_library('cudart', required: true)
add_project_arguments('-DUSE_CUBLAS=ON', language : 'cpp')
if get_option('cc_cuda') != ''
sycl_nvidia_target = 'nvidia_gpu_sm_' + get_option('cc_cuda')
else
sycl_nvidia_target = 'nvptx64-nvidia-cuda'
endif
add_project_arguments('-fsycl-targets='+sycl_nvidia_target, language : 'cpp')
add_project_link_arguments('-fsycl-targets='+sycl_nvidia_target, language : 'cpp')
endif
if host_machine.system() == 'windows'
# For sycl under windows we need to link using icx to generate the device code.
# This script edits build.ninja for this and for an icx dependency issue.
meson.add_postconf_script('scripts/sycl_build_hack.py')
add_project_link_arguments('-rtlib=compiler-rt', language : 'cpp')
endif
endif
endif # if get_option('build_backends')
if not has_backends and get_option('lc0') and get_option('build_backends')
error('''
No usable computation backends (cudnn/opencl/blas/etc) enabled.
If you want to build with the random backend only, add
-Dbuild_backends=false to the build command line.''')
endif
#############################################################################
## Dependencies
#############################################################################
## ~~~~
## zlib
## ~~~~
# Pick latest from https://wrapdb.mesonbuild.com/zlib and put into
# subprojects/zlib.wrap
if host_machine.system() == 'windows'
# In several cases where a zlib dependency was detected on windows, it
# caused trouble (crashes or failed builds). Better safe than sorry.
deps += subproject('zlib').get_variable('zlib_dep')
else
deps += dependency('zlib', fallback: ['zlib', 'zlib_dep'])
endif
## ~~~~~~~~
## Profiler
## ~~~~~~~~
if get_option('buildtype') != 'release'
deps += cc.find_library('profiler',
dirs: ['/usr/local/lib'], required: false)
endif
deps += cc.find_library('atomic', required: false)
#############################################################################
## Main Executable
#############################################################################
if not get_option('popcnt')
add_project_arguments('-DNO_POPCNT', language : 'cpp')
endif
if not get_option('f16c')
add_project_arguments('-DNO_F16C', language : 'cpp')
endif
if cc.has_type('_Float16')
add_project_arguments('-DHAS_FLOAT16', language : 'cpp')
endif
if not get_option('pext')
add_project_arguments('-DNO_PEXT', language : 'cpp')
endif
if get_option('embed')
add_project_arguments('-DEMBED', language : 'cpp')
endif
default_search_h = configuration_data()
if get_option('default_search') != ''
default_search_h.set_quoted('DEFAULT_SEARCH', get_option('default_search'))
endif
configure_file(output : 'default_search.h',
configuration : default_search_h)
default_backend_h = configuration_data()
if get_option('default_backend') != ''
default_backend_h.set_quoted('DEFAULT_BACKEND', get_option('default_backend'))
endif
configure_file(output : 'default_backend.h',
configuration : default_backend_h)
if get_option('lc0')
files += common_files
executable('lc0', 'src/main.cc',
files, include_directories: includes, dependencies: deps, install: true)
endif
#############################################################################
## Rescorer Executable
#############################################################################
if get_option('rescorer')
gaviota_dep = subproject('gaviotatb').get_variable('gaviotatb_dep')
executable('rescorer', 'src/rescorer_main.cc',
[common_files, 'src/trainingdata/rescorer.cc'],
include_directories: includes, dependencies: [deps, gaviota_dep], install: true)
endif
#############################################################################
## Tests
#############################################################################
if get_option('gtest')
gtest = dependency('gtest', fallback: ['gtest', 'gtest_dep'])
gmock = dependency('gmock', fallback: ['gtest', 'gmock_dep'])
lc0_lib = library('lc0_lib', common_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
), args: '--gtest_output=xml:optionsparser.xml', 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', pb_files,
include_directories: includes, link_with: lc0_lib,
dependencies: [gtest]
), args: '--gtest_output=xml:encoder.xml', timeout: 90)
test('EngineTest',
executable('engine_test', 'src/engine_test.cc', 'src/engine.cc',
'src/neural/memcache.cc', pb_files,
include_directories: includes, link_with: lc0_lib, dependencies: [gtest, gmock]),
args: '--gtest_output=xml:engine_test.xml', timeout: 90)
endif
#############################################################################
## Python bindings
#############################################################################
if get_option('python_bindings')
pymod = import('python')
python = pymod.find_installation('python3')
if not python.language_version().version_compare('>3.7')
error('You need python 3.7 or newer')
endif
py_bindings_generator = find_program('scripts/gen_py_bindings.py')
gen_py_bindings = custom_target('backends', input:[], output:['backends.cc'],
command : [py_bindings_generator, '@OUTPUT0@'])
py_files = [ gen_py_bindings ]
cpython = dependency('python3')
python.extension_module('backends',
[py_files + files],
include_directories: [includes],
dependencies: [cpython] + deps,
subdir: 'lczero',
install: true)
endif