Making large AI models cheaper, faster and more accessible
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from ...cuda_extension import _CudaExtension
from ...utils import get_cuda_cc_flag
class FusedOptimizerCudaExtension(_CudaExtension):
def __init__(self):
super().__init__(name="fused_optim_cuda")
def sources_files(self):
ret = [
self.csrc_abs_path(fname)
for fname in [
"kernel/cuda/multi_tensor_sgd_kernel.cu",
"kernel/cuda/multi_tensor_scale_kernel.cu",
"kernel/cuda/multi_tensor_adam_kernel.cu",
"kernel/cuda/multi_tensor_l2norm_kernel.cu",
"kernel/cuda/multi_tensor_lamb_kernel.cu",
]
] + [self.pybind_abs_path("optimizer/optimizer.cpp")]
return ret
def cxx_flags(self):
version_dependent_macros = ["-DVERSION_GE_1_1", "-DVERSION_GE_1_3", "-DVERSION_GE_1_5"]
return ["-O3"] + version_dependent_macros
def nvcc_flags(self):
extra_cuda_flags = ["-lineinfo"]
extra_cuda_flags.extend(get_cuda_cc_flag())
return ["-O3", "--use_fast_math"] + extra_cuda_flags + super().nvcc_flags()