mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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43 lines
1.1 KiB
43 lines
1.1 KiB
10 months ago
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import platform
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from typing import List
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10 months ago
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from ...cpp_extension import _CppExtension
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class CpuAdamArmExtension(_CppExtension):
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def __init__(self):
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super().__init__(name="cpu_adam_arm")
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def is_available(self) -> bool:
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# only arm allowed
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return platform.machine() == "aarch64"
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def assert_compatible(self) -> None:
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arch = platform.machine()
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assert (
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arch == "aarch64"
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), f"[extension] The {self.name} kernel requires the CPU architecture to be aarch64 but got {arch}"
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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("kernel/arm/cpu_adam_arm.cpp"),
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]
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return ret
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def include_dirs(self) -> List[str]:
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return super().include_dirs()
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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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"-g",
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"-Wno-reorder",
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"-fopenmp",
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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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return []
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