

import os
from pathlib import Path





def    _A							(						)   -> str:



   """simple docstring"""


   from torch.utils.cpp_extension import load

   __SCREAMING_SNAKE_CASE       =				Path(lowercase_  ).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
   __SCREAMING_SNAKE_CASE       =				[
       root / filename
       for filename in [
           '''vision.cpp''',
           os.path.join("cpu"   , "ms_deform_attn_cpu.cpp"  ),
           os.path.join("cuda"   , "ms_deform_attn_cuda.cu"  ),
       ]
   ]

   load(
       "MultiScaleDeformableAttention"   , lowercase_   , with_cuda=lowercase_   , extra_include_paths=[str(lowercase_  )]   , extra_cflags=["-DWITH_CUDA=1"]   , extra_cuda_cflags=[
           "-DCUDA_HAS_FP16=1",
           "-D__CUDA_NO_HALF_OPERATORS__",
           "-D__CUDA_NO_HALF_CONVERSIONS__",
           "-D__CUDA_NO_HALF2_OPERATORS__",
       ]   , )

   import MultiScaleDeformableAttention as MSDA

   return MSDA





from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase       		=    logging.get_logger(__name__)

lowerCAmelCase       		=    {
    """abeja/gpt-neox-japanese-2.7b""": """https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json""",
}




class 							lowerCamelCase   (  _UpperCamelCase ):
	_lowerCAmelCase     :		Tuple										=						'''gpt_neox_japanese'''


	def __init__(    self				,     lowercase__=3_2_0_0_0				,     lowercase__=2_5_6_0				,     lowercase__=3_2				,     lowercase__=3_2				,     lowercase__=4				,     lowercase__="gelu"				,     lowercase__=1.0_0				,     lowercase__=1_0_0_0_0				,     lowercase__=2_0_4_8				,     lowercase__=0.0_2				,     lowercase__=1e-5				,     lowercase__=True				,     lowercase__=3_1_9_9_6				,     lowercase__=3_1_9_9_9				,     lowercase__=0.1				,     lowercase__=0.0				,     **lowercase__				,     ):
							super().__init__(bos_token_id=lowercase__				,     eos_token_id=lowercase__				,     **lowercase__)
							__UpperCAmelCase			:							Optional[Any]	    =	vocab_size
							__UpperCAmelCase			:							Dict	    =	max_position_embeddings
							__UpperCAmelCase			:							int	    =	hidden_size
							__UpperCAmelCase			:							List[Any]	    =	num_hidden_layers
							__UpperCAmelCase			:							Union[str, Any]	    =	num_attention_heads
							__UpperCAmelCase			:							Optional[int]	    =	intermediate_multiple_size
							__UpperCAmelCase			:							Any	    =	hidden_act
							__UpperCAmelCase			:							str	    =	rotary_pct
							__UpperCAmelCase			:							Any	    =	rotary_emb_base
							__UpperCAmelCase			:							Dict	    =	initializer_range
							__UpperCAmelCase			:							Tuple	    =	layer_norm_eps
							__UpperCAmelCase			:							Optional[int]	    =	use_cache
							__UpperCAmelCase			:							str	    =	attention_dropout
							__UpperCAmelCase			:							Any	    =	hidden_dropout

