mirror of https://github.com/hpcaitech/ColossalAI
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
import os
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from .builder import Builder
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from .utils import append_nvcc_threads
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class CPUAdamBuilder(Builder):
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NAME = "cpu_adam"
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BASE_DIR = "cuda_native"
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def __init__(self):
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self.name = CPUAdamBuilder.NAME
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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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# necessary 4 functions
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def sources_files(self):
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ret = [
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os.path.join(CPUAdamBuilder.BASE_DIR, "csrc/cpu_adam.cpp"),
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]
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return [self.colossalai_src_path(path) for path in ret]
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def include_dirs(self):
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return [
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self.colossalai_src_path(os.path.join(CPUAdamBuilder.BASE_DIR, "includes")),
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self.get_cuda_home_include()
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]
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def cxx_flags(self):
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extra_cxx_flags = ['-std=c++14', '-lcudart', '-lcublas', '-g', '-Wno-reorder', '-fopenmp', '-march=native']
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return ['-O3'] + self.version_dependent_macros + extra_cxx_flags
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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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return append_nvcc_threads(['-O3', '--use_fast_math'] + self.version_dependent_macros + extra_cuda_flags)
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# necessary 4 functions
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