

'''simple docstring'''
import os
from pathlib import Path


def        _lowerCAmelCase					(						)      ->			Tuple:
     """simple docstring"""




     from torch.utils.cpp_extension import load

     _SCREAMING_SNAKE_CASE							    =Path(_UpperCamelCase				).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'							, _UpperCamelCase							, with_cuda=_UpperCamelCase							, extra_include_paths=[str(_UpperCamelCase				)]							, 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



'''simple docstring'''
from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin







class 							A__    (       A__     ,   A__  ):





  @register_to_config
  def __init__(		self      :	Dict							,					_a      :	int = 768							,					)	->    Union[str, Any]:





       '''simple docstring'''






       super().__init__()

       _SCREAMING_SNAKE_CASE							    =nn.Parameter(torch.zeros(1							,					_a ) )
       _SCREAMING_SNAKE_CASE							    =nn.Parameter(torch.ones(1							,					_a ) )





  def 						A  (		self      :	Tuple							,					_a      :	Optional[Union[str, torch.device]] = None							,					_a      :	Optional[torch.dtype] = None							,					)	->    List[Any]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =nn.Parameter(self.mean.to(_a ).to(_a ) )
       _SCREAMING_SNAKE_CASE							    =nn.Parameter(self.std.to(_a ).to(_a ) )
       return self





  def 						A  (		self      :	Tuple							,					_a      :	str )	->    str:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =(embeds - self.mean) * 1.0 / self.std
       return embeds





  def 						A  (		self      :	List[str]							,					_a      :	Optional[Any] )	->    Tuple:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =(embeds * self.std) + self.mean
       return embeds
