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ColossalAI/op_builder/multi_head_attn.py

47 lines
1.5 KiB

from .builder import Builder
from .utils import append_nvcc_threads, get_cuda_cc_flag
class MultiHeadAttnBuilder(Builder):
NAME = "multihead_attention"
PREBUILT_IMPORT_PATH = "colossalai._C.multihead_attention"
def __init__(self):
super().__init__(name=MultiHeadAttnBuilder.NAME, prebuilt_import_path=MultiHeadAttnBuilder.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 [
"multihead_attention_1d.cpp",
"kernels/cublas_wrappers.cu",
"kernels/transform_kernels.cu",
"kernels/dropout_kernels.cu",
"kernels/normalize_kernels.cu",
"kernels/softmax_kernels.cu",
"kernels/general_kernels.cu",
"kernels/cuda_util.cu",
]
]
return ret
def cxx_flags(self):
return ["-O3"] + self.version_dependent_macros
def nvcc_flags(self):
extra_cuda_flags = [
"-std=c++14",
"-std=c++17",
"-U__CUDA_NO_HALF_OPERATORS__",
"-U__CUDA_NO_HALF_CONVERSIONS__",
"-U__CUDA_NO_HALF2_OPERATORS__",
"-DTHRUST_IGNORE_CUB_VERSION_CHECK",
]
extra_cuda_flags.extend(get_cuda_cc_flag())
ret = ["-O3", "--use_fast_math"] + self.version_dependent_macros + extra_cuda_flags
return append_nvcc_threads(ret)