import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


lowerCAmelCase__					=				logging.get_logger(__name__)
class        a_				(		SCREAMING_SNAKE_CASE		):






 '''simple docstring'''






 UpperCAmelCase_							=      'speech-encoder-decoder'
 UpperCAmelCase_							=      True




 def __init__(    self      :						Optional[int]    ,					**lowercase__      :						Union[str, Any]):







        '''simple docstring'''



        super().__init__(**lowercase__)
        if "encoder" not in kwargs or "decoder" not in kwargs:
               raise ValueError(
                   F"""A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and"""
                   F""" `decoder` sub-configurations are passed, but only {kwargs}""")

        lowerCAmelCase__  			=      kwargs.pop('encoder')
        lowerCAmelCase__  			=      encoder_config.pop('model_type')
        lowerCAmelCase__  			=      kwargs.pop('decoder')
        lowerCAmelCase__  			=      decoder_config.pop('model_type')

        lowerCAmelCase__  			=      AutoConfig.for_model(lowercase__    ,					**lowercase__)
        lowerCAmelCase__  			=      AutoConfig.for_model(lowercase__    ,					**lowercase__)
        lowerCAmelCase__  			=      True




 @classmethod
 def 	__snake_case		(    cls      :						Union[str, Any]    ,					lowercase__      :						PretrainedConfig    ,					lowercase__      :						PretrainedConfig    ,					**lowercase__      :						List[str]):







        '''simple docstring'''



        logger.info('Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config')
        lowerCAmelCase__  			=      True
        lowerCAmelCase__  			=      True

        return cls(encoder=encoder_config.to_dict()    ,					decoder=decoder_config.to_dict()    ,					**lowercase__)




 def 	__snake_case		(    self      :						Dict):







        '''simple docstring'''



        lowerCAmelCase__  			=      copy.deepcopy(self.__dict__)
        lowerCAmelCase__  			=      self.encoder.to_dict()
        lowerCAmelCase__  			=      self.decoder.to_dict()
        lowerCAmelCase__  			=      self.__class__.model_type
        return output

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


lowerCAmelCase__					=				logging.get_logger(__name__)

lowerCAmelCase__					=				{
    'ZinengTang/tvlt-base': 'https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json',
}
class        a_				(		SCREAMING_SNAKE_CASE		):






 '''simple docstring'''






 UpperCAmelCase_							=      'tvlt'




 def __init__(    self      :						Dict    ,					lowercase__      :						str=224    ,					lowercase__      :						int=2_048    ,					lowercase__      :						int=128    ,					lowercase__      :						Optional[Any]=[16, 16]    ,					lowercase__      :						List[str]=[16, 16]    ,					lowercase__      :						Optional[int]=3    ,					lowercase__      :						Tuple=1    ,					lowercase__      :						Union[str, Any]=8    ,					lowercase__      :						int=768    ,					lowercase__      :						Tuple=12    ,					lowercase__      :						List[str]=12    ,					lowercase__      :						Union[str, Any]=3_072    ,					lowercase__      :						Union[str, Any]="gelu"    ,					lowercase__      :						Dict=0.0    ,					lowercase__      :						Tuple=0.0    ,					lowercase__      :						Union[str, Any]=0.02    ,					lowercase__      :						Any=1e-6    ,					lowercase__      :						Dict=True    ,					lowercase__      :						int=False    ,					lowercase__      :						Tuple=16    ,					lowercase__      :						Optional[int]=512    ,					lowercase__      :						int=8    ,					lowercase__      :						List[Any]=2_048    ,					lowercase__      :						Optional[int]=0.75    ,					lowercase__      :						Union[str, Any]=0.15    ,					lowercase__      :						List[str]="frame-level"    ,					lowercase__      :						Dict=True    ,					lowercase__      :						Tuple=True    ,					lowercase__      :						Any="classification"    ,					**lowercase__      :						Union[str, Any]    ,					):







        '''simple docstring'''



        super().__init__(**lowercase__)

        if audio_mask_type not in ("frame-level", "patch_level"):
               raise ValueError(
                   'audio_mask_type must be one of two acceptable strategies - {\'frame_level\', \'patch-level\') '
                   F"""got {audio_mask_type}""")

        lowerCAmelCase__  			=      image_size
        lowerCAmelCase__  			=      spectrogram_length
        lowerCAmelCase__  			=      frequency_length
        lowerCAmelCase__  			=      image_patch_size
        lowerCAmelCase__  			=      audio_patch_size
        lowerCAmelCase__  			=      num_image_channels
        lowerCAmelCase__  			=      num_audio_channels
        lowerCAmelCase__  			=      num_frames

        lowerCAmelCase__  			=      hidden_size
        lowerCAmelCase__  			=      num_hidden_layers
        lowerCAmelCase__  			=      num_attention_heads
        lowerCAmelCase__  			=      intermediate_size
        lowerCAmelCase__  			=      hidden_act
        lowerCAmelCase__  			=      hidden_dropout_prob
        lowerCAmelCase__  			=      attention_probs_dropout_prob
        lowerCAmelCase__  			=      initializer_range
        lowerCAmelCase__  			=      layer_norm_eps
        lowerCAmelCase__  			=      qkv_bias
        lowerCAmelCase__  			=      use_mean_pooling

        lowerCAmelCase__  			=      decoder_num_attention_heads
        lowerCAmelCase__  			=      decoder_hidden_size
        lowerCAmelCase__  			=      decoder_num_hidden_layers
        lowerCAmelCase__  			=      decoder_intermediate_size
        lowerCAmelCase__  			=      pixel_mask_ratio
        lowerCAmelCase__  			=      audio_mask_ratio
        lowerCAmelCase__  			=      audio_mask_type

        lowerCAmelCase__  			=      task_matching
        lowerCAmelCase__  			=      task_mae
        lowerCAmelCase__  			=      loss_type
