mirror of https://github.com/hpcaitech/ColossalAI
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
import platform
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from ..cuda_extension import _CudaExtension
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from ..utils import append_nvcc_threads
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class CpuAdamX86Extension(_CudaExtension):
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def __init__(self):
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super().__init__(name="cpu_adam_x86")
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def is_hardware_available(self) -> bool:
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return platform.machine() == "x86_64" and super().is_hardware_available()
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def assert_hardware_compatible(self) -> None:
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arch = platform.machine()
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assert (
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arch == "x86_64"
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), f"[extension] The {self.name} kernel requires the CPU architecture to be x86_64 but got {arch}"
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super().assert_hardware_compatible()
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# necessary 4 functions
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def sources_files(self):
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ret = [
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self.csrc_abs_path("cuda/cpu_adam.cpp"),
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]
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return ret
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def include_dirs(self):
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return [self.csrc_abs_path("includes"), self.get_cuda_home_include()]
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def cxx_flags(self):
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extra_cxx_flags = [
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"-std=c++14",
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"-std=c++17",
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"-lcudart",
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"-lcublas",
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"-g",
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"-Wno-reorder",
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"-fopenmp",
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"-march=native",
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]
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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",
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"-std=c++17",
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"-U__CUDA_NO_HALF_OPERATORS__",
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"-U__CUDA_NO_HALF_CONVERSIONS__",
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"-U__CUDA_NO_HALF2_OPERATORS__",
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"-DTHRUST_IGNORE_CUB_VERSION_CHECK",
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]
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ret = ["-O3", "--use_fast_math"] + self.version_dependent_macros + extra_cuda_flags
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return append_nvcc_threads(ret)
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