

"""simple docstring"""





import copy
import os
from typing import Union

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


__UpperCamelCase    : Union[str, Any]				 =						logging.get_logger(__name__)

__UpperCamelCase    : Optional[int]				 =						{
    '''google/pix2struct-textcaps-base''': (
        '''https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json'''
    ),
}







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"pix2struct_text_model"
					lowercase__												=			["past_key_values"]
					lowercase__												=			{
					    "hidden_size": "hidden_size",
					    "num_attention_heads": "num_heads",
					    "num_hidden_layers": "num_layers",
					}







					def __init__(			self     :							Optional[Any]  ,lowercase_     :							Optional[int]=5_0_2_4_4  ,lowercase_     :							Union[str, Any]=7_6_8  ,lowercase_     :							Optional[int]=6_4  ,lowercase_     :							List[Any]=2_0_4_8  ,lowercase_     :							List[Any]=1_2  ,lowercase_     :							Union[str, Any]=1_2  ,lowercase_     :							Tuple=3_2  ,lowercase_     :							List[str]=1_2_8  ,lowercase_     :							List[str]=0.1  ,lowercase_     :							Union[str, Any]=1E-6  ,lowercase_     :							List[Any]=1.0  ,lowercase_     :							str="gelu_new"  ,lowercase_     :							List[str]=0  ,lowercase_     :							Tuple=False  ,lowercase_     :							Tuple=0  ,lowercase_     :							Any=1  ,lowercase_     :							Tuple=False  ,lowercase_     :							Optional[int]=True  ,**lowercase_     :							Optional[Any]  ,):
						lowerCAmelCase__      :		List[Any]    							=      vocab_size
						lowerCAmelCase__      :		str    							=      hidden_size
						lowerCAmelCase__      :		Union[str, Any]    							=      d_kv
						lowerCAmelCase__      :		Union[str, Any]    							=      d_ff
						lowerCAmelCase__      :		Optional[int]    							=      num_layers
						lowerCAmelCase__      :		List[Any]    							=      num_heads
						lowerCAmelCase__      :		List[str]    							=      relative_attention_num_buckets
						lowerCAmelCase__      :		Tuple    							=      relative_attention_max_distance
						lowerCAmelCase__      :		List[Any]    							=      dropout_rate
						lowerCAmelCase__      :		str    							=      layer_norm_epsilon
						lowerCAmelCase__      :		Union[str, Any]    							=      initializer_factor
						lowerCAmelCase__      :		Union[str, Any]    							=      use_cache

						lowerCAmelCase__      :		Dict    							=      eos_token_id
						lowerCAmelCase__      :		Optional[int]    							=      decoder_start_token_id

						# for backwards compatibility
						lowerCAmelCase__      :		Tuple    							=      dense_act_fn

						super().__init__(
						    pad_token_id=lowercase_  ,eos_token_id=lowercase_  ,decoder_start_token_id=lowercase_  ,tie_word_embeddings=lowercase_  ,is_decoder=lowercase_  ,**lowercase_  ,)







					@classmethod
					def 			__lowerCAmelCase					(			cls     :							int  ,lowercase_     :							Union[str, os.PathLike]  ,**lowercase_     :							Optional[int]						):
						cls._set_token_in_kwargs(lowercase_						)

						lowerCAmelCase__							,lowerCAmelCase__      :		Any    							=      cls.get_config_dict(lowercase_  ,**lowercase_						)

						# get the text config dict if we are loading from Pix2StructConfig
						if config_dict.get('''model_type'''						) == "pix2struct":
							lowerCAmelCase__      :		List[Any]    							=      config_dict['''text_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 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"pix2struct_vision_model"







					def __init__(			self     :							int  ,lowercase_     :							Optional[int]=7_6_8  ,lowercase_     :							Dict=7_6_8  ,lowercase_     :							Dict=2_0_4_8  ,lowercase_     :							Optional[Any]=6_4  ,lowercase_     :							List[Any]=1_2  ,lowercase_     :							Optional[Any]=1_2  ,lowercase_     :							Union[str, Any]="gelu_new"  ,lowercase_     :							str=1E-6  ,lowercase_     :							Any=0.0  ,lowercase_     :							Any=0.0  ,lowercase_     :							Optional[int]=1E-10  ,lowercase_     :							str=1.0  ,lowercase_     :							str=4_0_9_6  ,lowercase_     :							Union[str, Any]=3_2  ,lowercase_     :							int=1_2_8  ,**lowercase_     :							Tuple  ,):
						super().__init__(**lowercase_						)

						lowerCAmelCase__      :		Optional[Any]    							=      hidden_size
						lowerCAmelCase__      :		Union[str, Any]    							=      patch_embed_hidden_size
						lowerCAmelCase__      :		int    							=      d_ff
						lowerCAmelCase__      :		str    							=      dropout_rate
						lowerCAmelCase__      :		Any    							=      num_hidden_layers
						lowerCAmelCase__      :		Optional[Any]    							=      num_attention_heads
						lowerCAmelCase__      :		List[Any]    							=      initializer_range
						lowerCAmelCase__      :		str    							=      initializer_factor
						lowerCAmelCase__      :		Tuple    							=      attention_dropout
						lowerCAmelCase__      :		Optional[int]    							=      layer_norm_eps
						lowerCAmelCase__      :		int    							=      dense_act_fn
						lowerCAmelCase__      :		Dict    							=      seq_len
						lowerCAmelCase__      :		str    							=      relative_attention_num_buckets
						lowerCAmelCase__      :		Dict    							=      relative_attention_max_distance
						lowerCAmelCase__      :		str    							=      d_kv







					@classmethod
					def 			__lowerCAmelCase					(			cls     :							Union[str, Any]  ,lowercase_     :							Union[str, os.PathLike]  ,**lowercase_     :							int						):
						cls._set_token_in_kwargs(lowercase_						)

						lowerCAmelCase__							,lowerCAmelCase__      :		Tuple    							=      cls.get_config_dict(lowercase_  ,**lowercase_						)

						# get the vision config dict if we are loading from Pix2StructConfig
						if config_dict.get('''model_type'''						) == "pix2struct":
							lowerCAmelCase__      :		int    							=      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 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"pix2struct"
					lowercase__												=			True







					def __init__(			self     :							Tuple  ,lowercase_     :							Optional[int]=None  ,lowercase_     :							Dict=None  ,lowercase_     :							Dict=1.0  ,lowercase_     :							Union[str, Any]=0.02  ,lowercase_     :							Union[str, Any]=False  ,lowercase_     :							int=False  ,lowercase_     :							Optional[Any]=True  ,**lowercase_     :							List[str]  ,):
						super().__init__(tie_word_embeddings=lowercase_  ,is_encoder_decoder=lowercase_  ,**lowercase_						)

						if text_config is None:
							lowerCAmelCase__      :		Optional[int]    							=      {}
							logger.info('''text_config is None. Initializing the Pix2StructTextConfig with default values.'''						)

						if vision_config is None:
							lowerCAmelCase__      :		Optional[Any]    							=      {}
							logger.info('''vision_config is None. Initializing the Pix2StructVisionConfig with default values.'''						)

						lowerCAmelCase__      :		int    							=      PixaStructTextConfig(**lowercase_						)
						lowerCAmelCase__      :		Tuple    							=      PixaStructVisionConfig(**lowercase_						)

						lowerCAmelCase__      :		List[str]    							=      self.text_config.decoder_start_token_id
						lowerCAmelCase__      :		Union[str, Any]    							=      self.text_config.pad_token_id
						lowerCAmelCase__      :		Tuple    							=      self.text_config.eos_token_id

						lowerCAmelCase__      :		Optional[int]    							=      initializer_factor
						lowerCAmelCase__      :		Optional[Any]    							=      initializer_range

						lowerCAmelCase__      :		List[Any]    							=      self.initializer_range
						lowerCAmelCase__      :		List[str]    							=      self.initializer_range

						lowerCAmelCase__      :		Optional[int]    							=      is_vqa







					@classmethod
					def 			__lowerCAmelCase					(			cls     :							Tuple  ,lowercase_     :							PixaStructTextConfig  ,lowercase_     :							PixaStructVisionConfig  ,**lowercase_     :							str						):
						return cls(text_config=text_config.to_dict()  ,vision_config=vision_config.to_dict()  ,**lowercase_						)







					def 			__lowerCAmelCase					(			self     :							List[str]						):
						lowerCAmelCase__      :		List[str]    							=      copy.deepcopy(self.__dict__						)
						lowerCAmelCase__      :		Any    							=      self.text_config.to_dict()
						lowerCAmelCase__      :		Optional[int]    							=      self.vision_config.to_dict()
						lowerCAmelCase__      :		List[str]    							=      self.__class__.model_type
						return output







"""simple docstring"""





from typing import Mapping

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


__UpperCamelCase    : List[Any]				 =						logging.get_logger(__name__)

__UpperCamelCase    : Any				 =						{
    '''t5-small''': '''https://huggingface.co/t5-small/resolve/main/config.json''',
    '''t5-base''': '''https://huggingface.co/t5-base/resolve/main/config.json''',
    '''t5-large''': '''https://huggingface.co/t5-large/resolve/main/config.json''',
    '''t5-3b''': '''https://huggingface.co/t5-3b/resolve/main/config.json''',
    '''t5-11b''': '''https://huggingface.co/t5-11b/resolve/main/config.json''',
}







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"t5"
					lowercase__												=			["past_key_values"]
					lowercase__												=			{"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}







					def __init__(			self     :							Tuple  ,lowercase_     :							Tuple=3_2_1_2_8  ,lowercase_     :							Union[str, Any]=5_1_2  ,lowercase_     :							Dict=6_4  ,lowercase_     :							Any=2_0_4_8  ,lowercase_     :							Dict=6  ,lowercase_     :							Dict=None  ,lowercase_     :							Dict=8  ,lowercase_     :							Optional[int]=3_2  ,lowercase_     :							List[Any]=1_2_8  ,lowercase_     :							Any=0.1  ,lowercase_     :							Optional[Any]=1E-6  ,lowercase_     :							Any=1.0  ,lowercase_     :							Dict="relu"  ,lowercase_     :							Tuple=True  ,lowercase_     :							List[Any]=True  ,lowercase_     :							Tuple=0  ,lowercase_     :							Optional[Any]=1  ,**lowercase_     :							Any  ,):
						lowerCAmelCase__      :		Tuple    							=      vocab_size
						lowerCAmelCase__      :		List[str]    							=      d_model
						lowerCAmelCase__      :		Union[str, Any]    							=      d_kv
						lowerCAmelCase__      :		List[Any]    							=      d_ff
						lowerCAmelCase__      :		int    							=      num_layers
						lowerCAmelCase__      :		Union[str, Any]    							=      (
						    num_decoder_layers if num_decoder_layers is not None else self.num_layers
						)  # default = symmetry
						lowerCAmelCase__      :		Any    							=      num_heads
						lowerCAmelCase__      :		Optional[int]    							=      relative_attention_num_buckets
						lowerCAmelCase__      :		Union[str, Any]    							=      relative_attention_max_distance
						lowerCAmelCase__      :		List[Any]    							=      dropout_rate
						lowerCAmelCase__      :		str    							=      layer_norm_epsilon
						lowerCAmelCase__      :		int    							=      initializer_factor
						lowerCAmelCase__      :		Dict    							=      feed_forward_proj
						lowerCAmelCase__      :		int    							=      use_cache

						lowerCAmelCase__      :		int    							=      self.feed_forward_proj.split('''-'''						)
						lowerCAmelCase__      :		str    							=      act_info[-1]
						lowerCAmelCase__      :		Tuple    							=      act_info[0] == '''gated'''

						if len(lowercase_						) > 1 and act_info[0] != "gated" or len(lowercase_						) > 2:
							raise ValueError(
							    F'`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'
							    '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
							    '''\'gated-gelu\' or \'relu\''''						)

						# for backwards compatibility
						if feed_forward_proj == "gated-gelu":
							lowerCAmelCase__      :		Tuple    							=      '''gelu_new'''

						super().__init__(
						    pad_token_id=lowercase_  ,eos_token_id=lowercase_  ,is_encoder_decoder=lowercase_  ,**lowercase_  ,)







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					@property
					def 			__lowerCAmelCase					(			self     :							List[Any]						):
						lowerCAmelCase__      :		int    							=      {
						    '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
						    '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
						}
						if self.use_past:
							lowerCAmelCase__      :		Union[str, Any]    							=      '''past_encoder_sequence + sequence'''
							lowerCAmelCase__      :		List[Any]    							=      {0: '''batch'''}
							lowerCAmelCase__      :		Union[str, Any]    							=      {0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
						else:
							lowerCAmelCase__      :		Union[str, Any]    							=      {0: '''batch''', 1: '''decoder_sequence'''}
							lowerCAmelCase__      :		Any    							=      {0: '''batch''', 1: '''decoder_sequence'''}

						if self.use_past:
							self.fill_with_past_key_values_(lowercase_  ,direction='''inputs'''						)

						return common_inputs







					@property
					def 			__lowerCAmelCase					(			self     :							Optional[int]						):
						return 1_3




