mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
36 lines
1.2 KiB
36 lines
1.2 KiB
import os |
|
|
|
from .builder import Builder, get_cuda_cc_flag |
|
|
|
|
|
class ScaledSoftmaxBuilder(Builder): |
|
|
|
def __init__(self): |
|
self.base_dir = "colossalai/kernel/cuda_native/csrc" |
|
self.name = 'scaled_upper_triang_masked_softmax' |
|
super().__init__() |
|
|
|
def include_dirs(self): |
|
ret = [] |
|
ret = [os.path.join(self.base_dir, "includes"), self.get_cuda_home_include()] |
|
ret.append(os.path.join(self.base_dir, "kernels", "include")) |
|
return [self.colossalai_src_path(path) for path in ret] |
|
|
|
def sources_files(self): |
|
ret = [ |
|
os.path.join(self.base_dir, fname) |
|
for fname in ['scaled_upper_triang_masked_softmax.cpp', 'scaled_upper_triang_masked_softmax_cuda.cu'] |
|
] |
|
return [self.colossalai_src_path(path) for path in ret] |
|
|
|
def cxx_flags(self): |
|
return ['-O3'] |
|
|
|
def nvcc_flags(self): |
|
extra_cuda_flags = [ |
|
'-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '--expt-relaxed-constexpr', |
|
'--expt-extended-lambda' |
|
] |
|
extra_cuda_flags.extend(get_cuda_cc_flag()) |
|
ret = ['-O3', '--use_fast_math'] + extra_cuda_flags |
|
return ret
|
|
|