


"""simple docstring"""






import copy

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


lowercase  		=			logging.get_logger(__name__)

lowercase  		=			{
    """facebook/musicgen-small""": """https://huggingface.co/facebook/musicgen-small/resolve/main/config.json""",
    # See all Musicgen models at https://huggingface.co/models?filter=musicgen
}


class 			SCREAMING_SNAKE_CASE_  (   _lowercase):




							'''simple docstring'''





							__magic_name__					:     Optional[Any]				  =  '''musicgen_decoder'''
							__magic_name__					:     Union[str, Any]				  =  ['''past_key_values''']




							def __init__(						self	,					lowerCamelCase__=2_048	,					lowerCamelCase__=2_048	,					lowerCamelCase__=24	,					lowerCamelCase__=4_096	,					lowerCamelCase__=16	,					lowerCamelCase__=0.0	,					lowerCamelCase__=True	,					lowerCamelCase__="gelu"	,					lowerCamelCase__=1_024	,					lowerCamelCase__=0.1	,					lowerCamelCase__=0.0	,					lowerCamelCase__=0.0	,					lowerCamelCase__=0.02	,					lowerCamelCase__=False	,					lowerCamelCase__=4	,					lowerCamelCase__=2_048	,					lowerCamelCase__=2_048	,					lowerCamelCase__=None	,					lowerCamelCase__=False	,					**lowerCamelCase__	,					)   ->	int:







								'''simple docstring'''




								snake_case__  :						Optional[int]		=      vocab_size
								snake_case__  :						Optional[Any]		=      max_position_embeddings
								snake_case__  :						List[str]		=      hidden_size
								snake_case__  :						str		=      ffn_dim
								snake_case__  :						Optional[Any]		=      num_hidden_layers
								snake_case__  :						Union[str, Any]		=      num_attention_heads
								snake_case__  :						int		=      dropout
								snake_case__  :						Union[str, Any]		=      attention_dropout
								snake_case__  :						List[Any]		=      activation_dropout
								snake_case__  :						Union[str, Any]		=      activation_function
								snake_case__  :						int		=      initializer_factor
								snake_case__  :						int		=      layerdrop
								snake_case__  :						Union[str, Any]		=      use_cache
								snake_case__  :						str		=      scale_embedding  # scale factor will be sqrt(d_model) if True
								snake_case__  :						Tuple		=      num_codebooks
								super().__init__(
								    pad_token_id=lowerCamelCase__	,					bos_token_id=lowerCamelCase__	,					eos_token_id=lowerCamelCase__	,					tie_word_embeddings=lowerCamelCase__	,					**lowerCamelCase__	,					)


class 			SCREAMING_SNAKE_CASE_  (   _lowercase):




							'''simple docstring'''





							__magic_name__					:     str				  =  '''musicgen'''
							__magic_name__					:     Union[str, Any]				  =  True




							def __init__(						self	,					**lowerCamelCase__)   ->	List[str]:







								'''simple docstring'''




								super().__init__(**lowerCamelCase__)
								if "text_encoder" not in kwargs or "audio_encoder" not in kwargs or "decoder" not in kwargs:
									raise ValueError("Config has to be initialized with text_encoder, audio_encoder and decoder config")

								snake_case__  :						str		=      kwargs.pop("text_encoder")
								snake_case__  :						Optional[int]		=      text_encoder_config.pop("model_type")

								snake_case__  :						Dict		=      kwargs.pop("audio_encoder")
								snake_case__  :						List[str]		=      audio_encoder_config.pop("model_type")

								snake_case__  :						str		=      kwargs.pop("decoder")

								snake_case__  :						Tuple		=      AutoConfig.for_model(lowerCamelCase__	,					**lowerCamelCase__)
								snake_case__  :						Dict		=      AutoConfig.for_model(lowerCamelCase__	,					**lowerCamelCase__)
								snake_case__  :						Optional[int]		=      MusicgenDecoderConfig(**lowerCamelCase__)
								snake_case__  :						List[str]		=      True




							@classmethod
							def        UpperCAmelCase (						cls	,					lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__	,					**lowerCamelCase__	,					)   ->	Optional[int]:







								'''simple docstring'''




								return cls(
								    text_encoder=text_encoder_config.to_dict()	,					audio_encoder=audio_encoder_config.to_dict()	,					decoder=decoder_config.to_dict()	,					**lowerCamelCase__	,					)







							def        UpperCAmelCase (						self)   ->	Optional[int]:







								'''simple docstring'''




								snake_case__  :						Dict		=      copy.deepcopy(self.__dict__)
								snake_case__  :						Tuple		=      self.text_encoder.to_dict()
								snake_case__  :						Any		=      self.audio_encoder.to_dict()
								snake_case__  :						int		=      self.decoder.to_dict()
								snake_case__  :						List[str]		=      self.__class__.model_type
								return output









"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


lowercase  		=			{
    """configuration_mobilevitv2""": [
        """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileViTV2Config""",
        """MobileViTV2OnnxConfig""",
    ],
}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase  		=			[
					    """MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """MobileViTV2ForImageClassification""",
					    """MobileViTV2ForSemanticSegmentation""",
					    """MobileViTV2Model""",
					    """MobileViTV2PreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_mobilevitva import (
					    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    MobileViTVaConfig,
					    MobileViTVaOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mobilevitva import (
										    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MobileViTVaForImageClassification,
										    MobileViTVaForSemanticSegmentation,
										    MobileViTVaModel,
										    MobileViTVaPreTrainedModel,
										)

else:
					import sys

					lowercase  		=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





