Making large AI models cheaper, faster and more accessible
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import os
from .builder import Builder
from .utils import get_cuda_cc_flag
class FusedOptimBuilder(Builder):
NAME = "fused_optim"
PREBUILT_IMPORT_PATH = "colossalai._C.fused_optim"
def __init__(self):
super().__init__(name=FusedOptimBuilder.NAME, prebuilt_import_path=FusedOptimBuilder.PREBUILT_IMPORT_PATH)
def sources_files(self):
ret = [
self.csrc_abs_path(fname) for fname in [
'colossal_C_frontend.cpp', 'multi_tensor_sgd_kernel.cu', 'multi_tensor_scale_kernel.cu',
'multi_tensor_adam.cu', 'multi_tensor_l2norm_kernel.cu', 'multi_tensor_lamb.cu'
]
]
return ret
def include_dirs(self):
ret = [self.csrc_abs_path('kernels/include'), self.get_cuda_home_include()]
return ret
def cxx_flags(self):
version_dependent_macros = ['-DVERSION_GE_1_1', '-DVERSION_GE_1_3', '-DVERSION_GE_1_5']
return ['-O3'] + version_dependent_macros
def nvcc_flags(self):
extra_cuda_flags = ['-lineinfo']
extra_cuda_flags.extend(get_cuda_cc_flag())
return ['-O3', '--use_fast_math'] + extra_cuda_flags