mirror of https://github.com/hpcaitech/ColossalAI
50 lines
1.9 KiB
Python
50 lines
1.9 KiB
Python
import os
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from .builder import Builder, get_cuda_cc_flag
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class MultiHeadAttnBuilder(Builder):
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def __init__(self):
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self.base_dir = "cuda_native/csrc"
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self.name = 'multihead_attention'
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super().__init__()
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self.extra_cxx_flags = []
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self.extra_cuda_flags = [
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'-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__',
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'-U__CUDA_NO_HALF2_OPERATORS__', '-DTHRUST_IGNORE_CUB_VERSION_CHECK'
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]
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self.extra_cuda_flags.extend(get_cuda_cc_flag())
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self.sources = [self.colossalai_src_path(path) for path in self.sources_files()]
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self.extra_include_paths = [self.colossalai_src_path(path) for path in self.include_paths()]
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self.version_dependent_macros = ['-DVERSION_GE_1_1', '-DVERSION_GE_1_3', '-DVERSION_GE_1_5']
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def sources_files(self):
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return [
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os.path.join(self.base_dir, fname) for fname in [
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'multihead_attention_1d.cpp', 'kernels/cublas_wrappers.cu', 'kernels/transform_kernels.cu',
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'kernels/dropout_kernels.cu', 'kernels/normalize_kernels.cu', 'kernels/softmax_kernels.cu',
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'kernels/general_kernels.cu', 'kernels/cuda_util.cu'
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]
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]
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def include_paths(self):
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ret = []
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ret = [os.path.join(self.base_dir, "includes"), self.get_cuda_include()]
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ret.append(os.path.join(self.base_dir, "kernels", "include"))
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print("include_paths", ret)
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return ret
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def builder(self, name):
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from torch.utils.cpp_extension import CUDAExtension
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return CUDAExtension(
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name=name,
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sources=[os.path.join('colossalai/kernel/cuda_native/csrc', path) for path in self.sources],
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include_dirs=self.extra_include_paths,
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extra_compile_args={
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'cxx': ['-O3'] + self.version_dependent_macros,
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'nvcc': ['-O3', '--use_fast_math'] + self.extra_cuda_flags
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})
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