mirror of https://github.com/hpcaitech/ColossalAI
54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
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import os
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import re
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import torch
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from .builder import Builder
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class FusedOptimBuilder(Builder):
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NAME = "fused_optim"
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BASE_DIR = "cuda_native/csrc"
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def __init__(self):
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self.name = FusedOptimBuilder.NAME
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super().__init__()
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self.extra_cxx_flags = []
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self.extra_cuda_flags = ['-lineinfo']
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for arch in torch.cuda.get_arch_list():
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res = re.search(r'sm_(\d+)', arch)
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if res:
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arch_cap = res[1]
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if int(arch_cap) >= 60:
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self.extra_cuda_flags.extend(['-gencode', f'arch=compute_{arch_cap},code={arch}'])
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self.sources = [self.colossalai_src_path(path) for path in self.sources_files()]
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self.extra_include_paths = [self.colossalai_src_path(path) for path in self.include_paths()]
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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 sources_files(self):
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return [
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os.path.join(FusedOptimBuilder.BASE_DIR, fname) for fname in [
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'colossal_C_frontend.cpp', 'multi_tensor_sgd_kernel.cu', 'multi_tensor_scale_kernel.cu',
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'multi_tensor_adam.cu', 'multi_tensor_l2norm_kernel.cu', 'multi_tensor_lamb.cu'
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]
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]
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def include_paths(self):
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import torch
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from torch.utils.cpp_extension import CUDA_HOME
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cuda_include = os.path.join(CUDA_HOME, "include")
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return [os.path.join(FusedOptimBuilder.BASE_DIR, "includes"), cuda_include]
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def builder(self):
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from torch.utils.cpp_extension import CUDAExtension
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return CUDAExtension(
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name=self.name,
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sources=[os.path.join('colossalai/kernel/cuda_native/csrc', path) for path in self.sources],
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include_dirs=self.extra_include_paths,
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extra_compile_args={
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'cxx': ['-O3'] + self.version_dependent_macros + self.extra_cxx_flags,
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'nvcc': ['-O3', '--use_fast_math'] + self.extra_cuda_flags
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})
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