mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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41 lines
1.5 KiB
41 lines
1.5 KiB
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 = "colossalai/kernel/cuda_native/csrc" |
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self.name = 'multihead_attention' |
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super().__init__() |
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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 include_dirs(self): |
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ret = [] |
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ret = [os.path.join(self.base_dir, "includes"), self.get_cuda_home_include()] |
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ret.append(os.path.join(self.base_dir, "kernels", "include")) |
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return [self.colossalai_src_path(path) for path in ret] |
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def sources_files(self): |
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ret = [ |
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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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return [self.colossalai_src_path(path) for path in ret] |
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def cxx_flags(self): |
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return ['-O3'] + self.version_dependent_macros |
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def nvcc_flags(self): |
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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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extra_cuda_flags.extend(get_cuda_cc_flag()) |
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ret = ['-O3', '--use_fast_math'] + extra_cuda_flags |
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return ret
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