


"""simple docstring"""



import math

import tensorflow as tf
from packaging import version






def       lowerCamelCase					(a_						:Optional[Any])     ->							int:
       lowercase		:Optional[int]       							=				tf.convert_to_tensor(a_)
       lowercase		:Dict       							=				0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0)				,				x.dtype)))

       return x * cdf






def       lowerCamelCase					(a_						:Optional[Any])     ->							Optional[int]:
       lowercase		:List[str]       							=				tf.convert_to_tensor(a_)
       lowercase		:Optional[Any]       							=				tf.cast(math.pi				,				x.dtype)
       lowercase		:Optional[Any]       							=				tf.cast(0.04_47_15				,				x.dtype)
       lowercase		:int       							=				0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi) * (x + coeff * tf.pow(a_				,				3))))

       return x * cdf






def       lowerCamelCase					(a_						:Optional[Any])     ->							Dict:
       lowercase		:Optional[int]       							=				tf.convert_to_tensor(a_)

       return x * tf.tanh(tf.math.softplus(a_))






def       lowerCamelCase					(a_						:Tuple)     ->							Union[str, Any]:
       lowercase		:Optional[int]       							=				tf.convert_to_tensor(a_)
       lowercase		:str       							=				tf.cast(0.04_47_15				,				x.dtype)
       lowercase		:List[Any]       							=				tf.cast(0.79_78_84_56_08				,				x.dtype)

       return 0.5 * x * (1.0 + tf.tanh(x * coeffa * (1.0 + coeffa * x * x)))






def       lowerCamelCase					(a_						:List[Any])     ->							List[Any]:
       lowercase		:Tuple       							=				tf.convert_to_tensor(a_)
       lowercase		:List[Any]       							=				tf.cast(1.7_02				,				x.dtype)
       return x * tf.math.sigmoid(coeff * x)






def       lowerCamelCase					(a_						:Any)     ->							Dict:
       return tf.clip_by_value(_gelu(a_)				,				-10				,				10)






def       lowerCamelCase					(a_						:Dict				,				a_						:Dict=-1)     ->							Optional[int]:
       lowercase							,  lowercase		:Any       							=				tf.split(a_				,				2				,				axis=a_)
       return a * tf.math.sigmoid(a_)


if version.parse(tf.version.VERSION) >= version.parse('''2.4'''):






 def       lowerCamelCase					(a_						:List[str])     ->							List[Any]:
        return tf.keras.activations.gelu(a_				,				approximate=a_)

 UpperCAmelCase      		=			tf.keras.activations.gelu




 UpperCAmelCase      		=			approximate_gelu_wrap
else:
 UpperCAmelCase      		=			_gelu
 UpperCAmelCase      		=			_gelu_new


UpperCAmelCase      		=			{
    '''gelu''': gelu,
    '''gelu_10''': gelu_aa,
    '''gelu_fast''': gelu_fast,
    '''gelu_new''': gelu_new,
    '''glu''': glu,
    '''mish''': mish,
    '''quick_gelu''': quick_gelu,
    '''relu''': tf.keras.activations.relu,
    '''sigmoid''': tf.keras.activations.sigmoid,
    '''silu''': tf.keras.activations.swish,
    '''swish''': tf.keras.activations.swish,
    '''tanh''': tf.keras.activations.tanh,
}






def       lowerCamelCase					(a_						:Any)     ->							str:
       if activation_string in ACTaFN:
              return ACTaFN[activation_string]
       else:
              raise KeyError(F"""function {activation_string} not found in ACT2FN mapping {list(ACTaFN.keys())}""")





"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase      		=			logging.get_logger(__name__)

UpperCAmelCase      		=			{
    '''facebook/deit-base-distilled-patch16-224''': (
        '''https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json'''
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}
class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      Tuple        =   "deit"






       def __init__(   self  :    List[str]  ,     snake_case__  :    int=7_6_8  ,     snake_case__  :    List[Any]=1_2  ,     snake_case__  :    Dict=1_2  ,     snake_case__  :    List[Any]=3_0_7_2  ,     snake_case__  :    Optional[int]="gelu"  ,     snake_case__  :    Dict=0.0  ,     snake_case__  :    str=0.0  ,     snake_case__  :    List[str]=0.02  ,     snake_case__  :    Optional[int]=1e-1_2  ,     snake_case__  :    Any=2_2_4  ,     snake_case__  :    Optional[int]=1_6  ,     snake_case__  :    int=3  ,     snake_case__  :    str=True  ,     snake_case__  :    Optional[int]=1_6  ,     **snake_case__  :    List[Any]  ,     ):

              '''simple docstring'''






              super().__init__(**snake_case__				)

              lowercase		:List[str]       							=				hidden_size
              lowercase		:Union[str, Any]       							=				num_hidden_layers
              lowercase		:Optional[Any]       							=				num_attention_heads
              lowercase		:Optional[Any]       							=				intermediate_size
              lowercase		:int       							=				hidden_act
              lowercase		:int       							=				hidden_dropout_prob
              lowercase		:Dict       							=				attention_probs_dropout_prob
              lowercase		:Optional[int]       							=				initializer_range
              lowercase		:Tuple       							=				layer_norm_eps
              lowercase		:Optional[int]       							=				image_size
              lowercase		:Union[str, Any]       							=				patch_size
              lowercase		:Optional[Any]       							=				num_channels
              lowercase		:Tuple       							=				qkv_bias
              lowercase		:Optional[Any]       							=				encoder_stride







class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      Optional[int]        =   version.parse("1.11"     )






       @property
       def  __snake_case						(   self  :    int				):

              '''simple docstring'''






              return OrderedDict(
                  [
                      ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
                  ]				)







       @property
       def  __snake_case						(   self  :    Optional[int]				):

              '''simple docstring'''






              return 1e-4

