Making large AI models cheaper, faster and more accessible
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import os
from .builder import Builder, get_cuda_cc_flag
class MultiHeadAttnBuilder(Builder):
def __init__(self):
self.base_dir = "colossalai/kernel/cuda_native/csrc"
self.name = 'multihead_attention'
super().__init__()
self.version_dependent_macros = ['-DVERSION_GE_1_1', '-DVERSION_GE_1_3', '-DVERSION_GE_1_5']
def include_dirs(self):
ret = []
ret = [os.path.join(self.base_dir, "includes"), self.get_cuda_home_include()]
ret.append(os.path.join(self.base_dir, "kernels", "include"))
return [self.colossalai_src_path(path) for path in ret]
def sources_files(self):
ret = [
os.path.join(self.base_dir, 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 [self.colossalai_src_path(path) for path in ret]
def cxx_flags(self):
return ['-O3'] + self.version_dependent_macros
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'
]
extra_cuda_flags.extend(get_cuda_cc_flag())
ret = ['-O3', '--use_fast_math'] + extra_cuda_flags
return ret