Making large AI models cheaper, faster and more accessible
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 

38 lines
1.3 KiB

import os
from .builder import Builder
from .utils import append_nvcc_threads
class CPUAdamBuilder(Builder):
NAME = "cpu_adam"
PREBUILT_IMPORT_PATH = "colossalai._C.cpu_adam"
def __init__(self):
super().__init__(name=CPUAdamBuilder.NAME, prebuilt_import_path=CPUAdamBuilder.PREBUILT_IMPORT_PATH)
self.version_dependent_macros = ['-DVERSION_GE_1_1', '-DVERSION_GE_1_3', '-DVERSION_GE_1_5']
# necessary 4 functions
def sources_files(self):
ret = [
self.csrc_abs_path('cpu_adam.cpp'),
]
return ret
def include_dirs(self):
return [
self.csrc_abs_path("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'
]
ret = ['-O3', '--use_fast_math'] + self.version_dependent_macros + extra_cuda_flags
return append_nvcc_threads(ret)