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
class CPUAdamBuilder(Builder):
NAME = "cpu_adam"
BASE_DIR = "colossalai/kernel/cuda_native"
def __init__(self):
self.name = CPUAdamBuilder.NAME
super().__init__()
self.version_dependent_macros = ['-DVERSION_GE_1_1', '-DVERSION_GE_1_3', '-DVERSION_GE_1_5']
# necessary 4 functions
def sources_files(self):
ret = [
os.path.join(CPUAdamBuilder.BASE_DIR, "csrc/cpu_adam.cpp"),
]
return [self.colossalai_src_path(path) for path in ret]
def include_dirs(self):
return [
self.colossalai_src_path(os.path.join(CPUAdamBuilder.BASE_DIR, "includes")),
self.get_cuda_home_include()
]
def cxx_flags(self):
extra_cxx_flags = ['-std=c++14', '-lcudart', '-lcublas', '-g', '-Wno-reorder', '-fopenmp', '-march=native']
return ['-O3'] + self.version_dependent_macros + extra_cxx_flags
def nvcc_flags(self):
extra_cuda_flags = [
'-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_HALF2_OPERATORS__', '-DTHRUST_IGNORE_CUB_VERSION_CHECK'
]
return append_nvcc_threads(['-O3', '--use_fast_math'] + self.version_dependent_macros + extra_cuda_flags)
# necessary 4 functions