Making large AI models cheaper, faster and more accessible
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import os
from .builder import Builder
from .utils import append_nvcc_threads, get_cuda_cc_flag
class MOEBuilder(Builder):
NAME = "moe"
PREBUILT_IMPORT_PATH = "colossalai._C.moe"
def __init__(self):
super().__init__(name=MOEBuilder.NAME, prebuilt_import_path=MOEBuilder.PREBUILT_IMPORT_PATH)
def include_dirs(self):
ret = [
self.csrc_abs_path("kernels/include"),
self.get_cuda_home_include()
]
return ret
def sources_files(self):
ret = [self.csrc_abs_path(fname) for fname in ['moe_cuda.cpp', 'moe_cuda_kernel.cu']]
return ret
def cxx_flags(self):
return ['-O3'] + self.version_dependent_macros
def nvcc_flags(self):
extra_cuda_flags = [
'-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '--expt-relaxed-constexpr',
'--expt-extended-lambda'
]
extra_cuda_flags.extend(get_cuda_cc_flag())
ret = ['-O3', '--use_fast_math'] + extra_cuda_flags
return append_nvcc_threads(ret)