



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase__     =	{
    """configuration_musicgen""": [
        """MUSICGEN_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MusicgenConfig""",
        """MusicgenDecoderConfig""",
    ],
    """processing_musicgen""": ["""MusicgenProcessor"""],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowerCamelCase__     =	[
          """MUSICGEN_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """MusicgenForConditionalGeneration""",
          """MusicgenForCausalLM""",
          """MusicgenModel""",
          """MusicgenPreTrainedModel""",
      ]

if TYPE_CHECKING:
      from .configuration_musicgen import (
          MUSICGEN_PRETRAINED_CONFIG_ARCHIVE_MAP,
          MusicgenConfig,
          MusicgenDecoderConfig,
      )
      from .processing_musicgen import MusicgenProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_musicgen import (
                MUSICGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
                MusicgenForCausalLM,
                MusicgenForConditionalGeneration,
                MusicgenModel,
                MusicgenPreTrainedModel,
            )

else:
      import sys

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





import copy

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


lowerCamelCase__     =	logging.get_logger(__name__)

lowerCamelCase__     =	{
    """facebook/sam-vit-huge""": """https://huggingface.co/facebook/sam-vit-huge/resolve/main/config.json""",
    """facebook/sam-vit-large""": """https://huggingface.co/facebook/sam-vit-large/resolve/main/config.json""",
    """facebook/sam-vit-base""": """https://huggingface.co/facebook/sam-vit-base/resolve/main/config.json""",
}






class 				SCREAMING_SNAKE_CASE     (							lowerCamelCase__   ):





							def __init__(				self						:						List[Any] ,			__lowercase						:						Optional[Any]=256 ,			__lowercase						:						Optional[int]=1024 ,			__lowercase						:						Any=16 ,			__lowercase						:						Optional[Any]=16 ,			__lowercase						:						Optional[Any]=4 ,			__lowercase						:						Optional[int]="gelu" ,			__lowercase						:						List[Any]=1E-6 ,			**__lowercase						:						str ,			):

											'''simple docstring'''
											super().__init__(**__lowercase		)
											__a					       =						hidden_size
											__a					       =						image_size
											__a					       =						patch_size
											__a					       =						image_size // patch_size
											__a					       =						mask_input_channels
											__a					       =						num_point_embeddings
											__a					       =						hidden_act
											__a					       =						layer_norm_eps






class 				SCREAMING_SNAKE_CASE     (							lowerCamelCase__   ):





							def __init__(				self						:						int ,			__lowercase						:						Tuple=256 ,			__lowercase						:						List[Any]="relu" ,			__lowercase						:						Any=2048 ,			__lowercase						:						List[Any]=2 ,			__lowercase						:						List[str]=8 ,			__lowercase						:						Any=2 ,			__lowercase						:						List[Any]=3 ,			__lowercase						:						str=3 ,			__lowercase						:						str=256 ,			__lowercase						:						Optional[Any]=1E-6 ,			**__lowercase						:						Tuple ,			):

											'''simple docstring'''
											super().__init__(**__lowercase		)
											__a					       =						hidden_size
											__a					       =						hidden_act
											__a					       =						mlp_dim
											__a					       =						num_hidden_layers
											__a					       =						num_attention_heads
											__a					       =						attention_downsample_rate
											__a					       =						num_multimask_outputs
											__a					       =						iou_head_depth
											__a					       =						iou_head_hidden_dim
											__a					       =						layer_norm_eps






class 				SCREAMING_SNAKE_CASE     (							lowerCamelCase__   ):





							def __init__(				self						:						List[Any] ,			__lowercase						:						List[Any]=768 ,			__lowercase						:						List[Any]=256 ,			__lowercase						:						Any=12 ,			__lowercase						:						Tuple=12 ,			__lowercase						:						Union[str, Any]=3 ,			__lowercase						:						Tuple=1024 ,			__lowercase						:						Any=16 ,			__lowercase						:						Dict="gelu" ,			__lowercase						:						List[Any]=1E-06 ,			__lowercase						:						List[str]=0.0 ,			__lowercase						:						Optional[Any]=1E-10 ,			__lowercase						:						Optional[Any]=True ,			__lowercase						:						str=4.0 ,			__lowercase						:						List[Any]=True ,			__lowercase						:						Dict=True ,			__lowercase						:						Optional[Any]=14 ,			__lowercase						:						Optional[int]=[2, 5, 8, 11] ,			__lowercase						:						List[str]=128 ,			__lowercase						:						Optional[int]=None ,			**__lowercase						:						List[Any] ,			):

											'''simple docstring'''
											super().__init__(**__lowercase		)

											__a					       =						hidden_size
											__a					       =						output_channels
											__a					       =						num_hidden_layers
											__a					       =						num_attention_heads
											__a					       =						num_channels
											__a					       =						image_size
											__a					       =						patch_size
											__a					       =						hidden_act
											__a					       =						layer_norm_eps
											__a					       =						attention_dropout
											__a					       =						initializer_range
											__a					       =						qkv_bias
											__a					       =						mlp_ratio
											__a					       =						use_abs_pos
											__a					       =						use_rel_pos
											__a					       =						window_size
											__a					       =						global_attn_indexes
											__a					       =						num_pos_feats
											__a					       =						int(hidden_size * mlp_ratio		) if mlp_dim is None else mlp_dim






class 				SCREAMING_SNAKE_CASE     (							lowerCamelCase__   ):
							__lowerCamelCase		:		Dict      ='sam'
							__lowerCamelCase		:		Any      =True





							def __init__(				self						:						List[str] ,			__lowercase						:						List[str]=None ,			__lowercase						:						Optional[int]=None ,			__lowercase						:						Dict=None ,			__lowercase						:						Optional[int]=0.02 ,			**__lowercase						:						List[str] ,			):

											'''simple docstring'''
											super().__init__(**__lowercase		)
											__a					       =						vision_config if vision_config is not None else {}
											__a					       =						prompt_encoder_config if prompt_encoder_config is not None else {}
											__a					       =						mask_decoder_config if mask_decoder_config is not None else {}

											if isinstance(__lowercase ,			__lowercase		):
															__a					       =						vision_config.to_dict()
											if isinstance(__lowercase ,			__lowercase		):
															__a					       =						prompt_encoder_config.to_dict()
											if isinstance(__lowercase ,			__lowercase		):
															__a					       =						mask_decoder_config.to_dict()

											__a					       =						SamVisionConfig(**__lowercase		)
											__a					       =						SamPromptEncoderConfig(**__lowercase		)
											__a					       =						SamMaskDecoderConfig(**__lowercase		)
											__a					       =						initializer_range







							def   UpperCamelCase_   (				self						:						Union[str, Any]		):

											'''simple docstring'''
											__a					       =						copy.deepcopy(self.__dict__		)
											__a					       =						self.vision_config.to_dict()
											__a					       =						self.prompt_encoder_config.to_dict()
											__a					       =						self.mask_decoder_config.to_dict()
											__a					       =						self.__class__.model_type
											return output
