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ColossalAI/extensions/pybind/cpu_adam/cpu_adam_x86.py

52 lines
1.5 KiB

import platform
from ...cuda_extension import _CudaExtension
from ...utils import append_nvcc_threads
class CpuAdamX86Extension(_CudaExtension):
def __init__(self):
super().__init__(name="cpu_adam_x86")
def is_available(self) -> bool:
return platform.machine() == "x86_64" and super().is_available()
def assert_compatible(self) -> None:
arch = platform.machine()
assert (
arch == "x86_64"
), f"[extension] The {self.name} kernel requires the CPU architecture to be x86_64 but got {arch}"
super().assert_compatible()
# necessary 4 functions
def sources_files(self):
ret = [
self.csrc_abs_path("kernel/x86/cpu_adam.cpp"),
]
return ret
def cxx_flags(self):
extra_cxx_flags = [
"-std=c++14",
"-std=c++17",
"-lcudart",
"-lcublas",
"-g",
"-Wno-reorder",
"-fopenmp",
"-march=native",
]
return ["-O3"] + self.version_dependent_macros + extra_cxx_flags
def nvcc_flags(self):
extra_cuda_flags = [
"-std=c++14",
"-std=c++17",
"-U__CUDA_NO_HALF_OPERATORS__",
"-U__CUDA_NO_HALF_CONVERSIONS__",
"-U__CUDA_NO_HALF2_OPERATORS__",
"-DTHRUST_IGNORE_CUB_VERSION_CHECK",
]
ret = ["-O3", "--use_fast_math"] + self.version_dependent_macros + extra_cuda_flags + super().nvcc_flags()
return append_nvcc_threads(ret)