Making large AI models cheaper, faster and more accessible
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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