





import copy

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


UpperCAmelCase						:       int        =					logging.get_logger(__name__)

UpperCAmelCase						:       List[str]        =					{
    '''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 						_A( snake_case__       ):


    """simple docstring"""


    UpperCamelCase   :  Dict    =     '''musicgen_decoder'''
    UpperCamelCase   :  Any    =     ['''past_key_values''']



    def __init__(      self					, _A=2048					, _A=2048					, _A=24					, _A=4096					, _A=16					, _A=0.0					, _A=True					, _A="gelu"					, _A=1024					, _A=0.1					, _A=0.0					, _A=0.0					, _A=0.0_2					, _A=False					, _A=4					, _A=2048					, _A=2048					, _A=None					, _A=False					, **_A					, ):
         __A     :						Optional[int]          =    vocab_size
         __A     :						str          =    max_position_embeddings
         __A     :						Any          =    hidden_size
         __A     :						Optional[int]          =    ffn_dim
         __A     :						str          =    num_hidden_layers
         __A     :						Optional[int]          =    num_attention_heads
         __A     :						List[str]          =    dropout
         __A     :						str          =    attention_dropout
         __A     :						Any          =    activation_dropout
         __A     :						Optional[int]          =    activation_function
         __A     :						Dict          =    initializer_factor
         __A     :						int          =    layerdrop
         __A     :						Tuple          =    use_cache
         __A     :						List[Any]          =    scale_embedding  # scale factor will be sqrt(d_model) if True
         __A     :						Optional[int]          =    num_codebooks
         super().__init__(
             pad_token_id=_A					, bos_token_id=_A					, eos_token_id=_A					, tie_word_embeddings=_A					, **_A					, )





class 						_A( snake_case__       ):


    """simple docstring"""


    UpperCamelCase   :  List[str]    =     '''musicgen'''
    UpperCamelCase   :  Optional[Any]    =     True



    def __init__(      self					, **_A					):
         super().__init__(**_A					)
         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'					)

         __A     :						Optional[int]          =    kwargs.pop('text_encoder'					)
         __A     :						int          =    text_encoder_config.pop('model_type'					)

         __A     :						Tuple          =    kwargs.pop('audio_encoder'					)
         __A     :						Dict          =    audio_encoder_config.pop('model_type'					)

         __A     :						Any          =    kwargs.pop('decoder'					)

         __A     :						List[Any]          =    AutoConfig.for_model(_A					, **_A					)
         __A     :						List[str]          =    AutoConfig.for_model(_A					, **_A					)
         __A     :						List[Any]          =    MusicgenDecoderConfig(**_A					)
         __A     :						Any          =    True



    @classmethod
    def  UpperCAmelCase_		(      cls					, _A					, _A					, _A					, **_A					, ):
         return cls(
             text_encoder=text_encoder_config.to_dict()					, audio_encoder=audio_encoder_config.to_dict()					, decoder=decoder_config.to_dict()					, **_A					, )





    def  UpperCAmelCase_		(      self					):
         __A     :						int          =    copy.deepcopy(self.__dict__					)
         __A     :						List[Any]          =    self.text_encoder.to_dict()
         __A     :						Any          =    self.audio_encoder.to_dict()
         __A     :						int          =    self.decoder.to_dict()
         __A     :						Optional[int]          =    self.__class__.model_type
         return output











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						:       str        =					logging.get_logger(__name__)

UpperCAmelCase						:       Optional[Any]        =					{
    '''MBZUAI/swiftformer-xs''': '''https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json''',
}





class 						_A( snake_case__       ):


				"""simple docstring"""


				UpperCamelCase   :  Union[str, Any]    =     '''swiftformer'''



				def __init__(      self					, _A=3					, _A=[3, 3, 6, 4]					, _A=[48, 56, 112, 220]					, _A=4					, _A=[True, True, True, True]					, _A="gelu"					, _A=3					, _A=2					, _A=1					, _A=0.0					, _A=True					, _A=1e-5					, _A=1e-5					, **_A					, ):
									super().__init__(**_A					)
									__A     :						List[Any]          =    num_channels
									__A     :						List[Any]          =    depths
									__A     :						int          =    embed_dims
									__A     :						Union[str, Any]          =    mlp_ratio
									__A     :						List[str]          =    downsamples
									__A     :						str          =    hidden_act
									__A     :						Any          =    down_patch_size
									__A     :						Any          =    down_stride
									__A     :						Any          =    down_pad
									__A     :						List[Any]          =    drop_path_rate
									__A     :						str          =    use_layer_scale
									__A     :						Dict          =    layer_scale_init_value
									__A     :						Union[str, Any]          =    batch_norm_eps





class 						_A( snake_case__       ):


				"""simple docstring"""


				UpperCamelCase   :  Optional[Any]    =     version.parse('''1.11'''       )



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





				@property
				def  UpperCAmelCase_		(      self					):
									return 1e-4




