

'''simple docstring'''






import copy
import os
from typing import Union

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


lowerCAmelCase__											=	logging.get_logger(__name__)

lowerCAmelCase__											=	{
    '''microsoft/git-base''': '''https://huggingface.co/microsoft/git-base/resolve/main/config.json''',
}






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  Tuple							=			'git_vision_model'






  def __init__(      self   :     Union[str, Any]					,lowercase__   :     List[Any]=7_6_8					,lowercase__   :     Dict=3_0_7_2					,lowercase__   :     Optional[Any]=1_2					,lowercase__   :     int=1_2					,lowercase__   :     Tuple=3					,lowercase__   :     int=2_2_4					,lowercase__   :     Tuple=1_6					,lowercase__   :     Union[str, Any]="quick_gelu"					,lowercase__   :     Union[str, Any]=1e-5					,lowercase__   :     Dict=0.0					,lowercase__   :     Any=0.0_2					,**lowercase__   :     Optional[Any]					,):
   super().__init__(**lowercase__			)

   __lowercase							  = hidden_size
   __lowercase							  = intermediate_size
   __lowercase							  = num_hidden_layers
   __lowercase							  = num_attention_heads
   __lowercase							  = num_channels
   __lowercase							  = patch_size
   __lowercase							  = image_size
   __lowercase							  = initializer_range
   __lowercase							  = attention_dropout
   __lowercase							  = layer_norm_eps
   __lowercase							  = hidden_act






  @classmethod
  def 					SCREAMING_SNAKE_CASE      (      cls   :     Optional[Any]					,lowercase__   :     Union[str, os.PathLike]					,**lowercase__   :     Union[str, Any]			):
   cls._set_token_in_kwargs(lowercase__			)

   __lowercase  ,	__lowercase							  = cls.get_config_dict(lowercase__					,**lowercase__			)

   # get the vision config dict if we are loading from GITConfig
   if config_dict.get('''model_type'''			) == "git":
    __lowercase							  = config_dict['''vision_config''']

   if "model_type" in config_dict and hasattr(cls					,'''model_type'''			) and config_dict["model_type"] != cls.model_type:
    logger.warning(
        F"You are using a model of type {config_dict['model_type']} to instantiate a model of type "
        F"{cls.model_type}. This is not supported for all configurations of models and can yield errors."			)

   return cls.from_dict(lowercase__					,**lowercase__			)






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  Union[str, Any]							=			'git'






  def __init__(      self   :     Dict					,lowercase__   :     Dict=None					,lowercase__   :     Optional[Any]=3_0_5_2_2					,lowercase__   :     Optional[Any]=7_6_8					,lowercase__   :     Optional[Any]=6					,lowercase__   :     List[str]=1_2					,lowercase__   :     Any=3_0_7_2					,lowercase__   :     int="gelu"					,lowercase__   :     str=0.1					,lowercase__   :     Optional[int]=0.1					,lowercase__   :     str=1_0_2_4					,lowercase__   :     Optional[int]=0.0_2					,lowercase__   :     Union[str, Any]=1e-1_2					,lowercase__   :     List[str]=0					,lowercase__   :     Optional[Any]="absolute"					,lowercase__   :     Union[str, Any]=True					,lowercase__   :     Any=False					,lowercase__   :     Any=1_0_1					,lowercase__   :     Optional[int]=1_0_2					,lowercase__   :     Optional[int]=None					,**lowercase__   :     Dict					,):
   super().__init__(bos_token_id=lowercase__					,eos_token_id=lowercase__					,pad_token_id=lowercase__					,**lowercase__			)

   if vision_config is None:
    __lowercase							  = {}
    logger.info('''vision_config is None. initializing the GitVisionConfig with default values.'''			)

   __lowercase							  = GitVisionConfig(**lowercase__			)
   __lowercase							  = vocab_size
   __lowercase							  = hidden_size
   __lowercase							  = num_hidden_layers
   __lowercase							  = num_attention_heads
   __lowercase							  = hidden_act
   __lowercase							  = intermediate_size
   __lowercase							  = hidden_dropout_prob
   __lowercase							  = attention_probs_dropout_prob
   __lowercase							  = max_position_embeddings
   __lowercase							  = initializer_range
   __lowercase							  = layer_norm_eps
   __lowercase							  = position_embedding_type
   __lowercase							  = use_cache
   __lowercase							  = tie_word_embeddings
   __lowercase							  = num_image_with_embedding

   __lowercase							  = bos_token_id
   __lowercase							  = eos_token_id






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]			):
   __lowercase							  = copy.deepcopy(self.__dict__			)
   __lowercase							  = self.vision_config.to_dict()
   __lowercase							  = self.__class__.model_type
   return output





import jax.numpy as jnp

from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig


UpperCAmelCase_      : Optional[Any]  					=       logging.get_logger(__name__)

UpperCAmelCase_      : str  					=       'T5Config'







def        SCREAMING_SNAKE_CASE_						(			__A :			jnp.array  ,    __A :			int  ,    __A :			int				)	->		jnp.ndarray:

       """simple docstring"""

       a_					:		Dict							=  jnp.zeros_like(__A				)
       a_					:		Dict							=  shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]				)
       a_					:		str							=  shifted_input_ids.at[:, 0].set(__A				)

       a_					:		int							=  jnp.where(shifted_input_ids == -1_00  ,    __A  ,    __A				)
       return shifted_input_ids
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     str        =						'''mt5'''
      snake_case__				:     List[Any]        =						MTaConfig
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     str        =						'''mt5'''
      snake_case__				:     List[str]        =						MTaConfig
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     Any        =						'''mt5'''
      snake_case__				:     Union[str, Any]        =						MTaConfig


