





import inspect

from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
				import jax



@require_flax
class  _a  :






							"""simple docstring"""

							def   A_	(   self					:  str     )						->Union[str, Any]:
													SCREAMING_SNAKE_CASE__,				SCREAMING_SNAKE_CASE__  :					int =       self.prepare_init_args_and_inputs_for_common()

													SCREAMING_SNAKE_CASE__  :					List[str] =       self.model_class(**a     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       model.init(inputs_dict["prng_key"]				,						inputs_dict["sample"]     )
													jax.lax.stop_gradient(a     )

													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       model.apply(a				,						inputs_dict["sample"]     )

													if isinstance(a				,						a     ):
																			SCREAMING_SNAKE_CASE__  :					Optional[int] =       output.sample

													self.assertIsNotNone(a     )
													SCREAMING_SNAKE_CASE__  :					List[str] =       inputs_dict["sample"].shape
													self.assertEqual(output.shape				,						a				,						"Input and output shapes do not match"     )

							def   A_	(   self					:  str     )						->Dict:
													SCREAMING_SNAKE_CASE__,				SCREAMING_SNAKE_CASE__  :					Tuple =       self.prepare_init_args_and_inputs_for_common()

													SCREAMING_SNAKE_CASE__  :					int =       16
													SCREAMING_SNAKE_CASE__  :					List[str] =       (16, 32)

													SCREAMING_SNAKE_CASE__  :					Optional[int] =       self.model_class(**a     )
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       model.init(inputs_dict["prng_key"]				,						inputs_dict["sample"]     )
													jax.lax.stop_gradient(a     )

													SCREAMING_SNAKE_CASE__  :					Optional[int] =       model.apply(a				,						inputs_dict["sample"]     )

													if isinstance(a				,						a     ):
																			SCREAMING_SNAKE_CASE__  :					List[str] =       output.sample

													self.assertIsNotNone(a     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       inputs_dict["sample"].shape
													self.assertEqual(output.shape				,						a				,						"Input and output shapes do not match"     )






							def   A_	(   self					:  Tuple     )						->Union[str, Any]:
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       "kwargs" in inspect.signature(self.model_class.__init__     ).parameters
													SCREAMING_SNAKE_CASE__  :					int =       len(self.model_class._deprecated_kwargs     ) > 0

													if has_kwarg_in_model_class and not has_deprecated_kwarg:
																			raise ValueError(
																			    f"""{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs"""
																			    " under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are"
																			    " no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ="
																			    " [<deprecated_argument>]`"     )

													if not has_kwarg_in_model_class and has_deprecated_kwarg:
																			raise ValueError(
																			    f"""{self.model_class} doesn't have `**kwargs` in its __init__ method but has defined deprecated kwargs"""
																			    " under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to"
																			    f""" {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument"""
																			    " from `_deprecated_kwargs = [<deprecated_argument>]`"     )






import copy

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


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

__lowercase							:Optional[Any]							=	{
    "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  _a  (					lowercase__				):






							"""simple docstring"""

							def __init__(   self					:  List[Any]				,						a					:  int=2_56				,						a					:  Tuple=10_24				,						a					:  Optional[Any]=16				,						a					:  Dict=16				,						a					:  str=4				,						a					:  Union[str, Any]="gelu"				,						a					:  Optional[Any]=1E-6				,						**a					:  Dict				,						)						->Union[str, Any]:
													super().__init__(**a     )
													SCREAMING_SNAKE_CASE__  :					Any =       hidden_size
													SCREAMING_SNAKE_CASE__  :					List[Any] =       image_size
													SCREAMING_SNAKE_CASE__  :					List[str] =       patch_size
													SCREAMING_SNAKE_CASE__  :					str =       image_size // patch_size
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       mask_input_channels
													SCREAMING_SNAKE_CASE__  :					Any =       num_point_embeddings
													SCREAMING_SNAKE_CASE__  :					str =       hidden_act
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       layer_norm_eps







class  _a  (					lowercase__				):






							"""simple docstring"""

							def __init__(   self					:  Union[str, Any]				,						a					:  Optional[int]=2_56				,						a					:  Dict="relu"				,						a					:  Dict=20_48				,						a					:  Union[str, Any]=2				,						a					:  str=8				,						a					:  str=2				,						a					:  List[Any]=3				,						a					:  str=3				,						a					:  List[str]=2_56				,						a					:  str=1E-6				,						**a					:  Optional[int]				,						)						->Dict:
													super().__init__(**a     )
													SCREAMING_SNAKE_CASE__  :					List[Any] =       hidden_size
													SCREAMING_SNAKE_CASE__  :					List[Any] =       hidden_act
													SCREAMING_SNAKE_CASE__  :					Dict =       mlp_dim
													SCREAMING_SNAKE_CASE__  :					List[Any] =       num_hidden_layers
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       num_attention_heads
													SCREAMING_SNAKE_CASE__  :					List[Any] =       attention_downsample_rate
													SCREAMING_SNAKE_CASE__  :					List[str] =       num_multimask_outputs
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       iou_head_depth
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       iou_head_hidden_dim
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       layer_norm_eps







class  _a  (					lowercase__				):






							"""simple docstring"""

							def __init__(   self					:  Tuple				,						a					:  str=7_68				,						a					:  Tuple=2_56				,						a					:  Tuple=12				,						a					:  List[str]=12				,						a					:  Optional[Any]=3				,						a					:  str=10_24				,						a					:  str=16				,						a					:  Union[str, Any]="gelu"				,						a					:  Optional[int]=1E-06				,						a					:  Optional[Any]=0.0				,						a					:  str=1E-10				,						a					:  Optional[int]=True				,						a					:  Dict=4.0				,						a					:  Optional[Any]=True				,						a					:  List[str]=True				,						a					:  str=14				,						a					:  List[str]=[2, 5, 8, 11]				,						a					:  int=1_28				,						a					:  int=None				,						**a					:  List[str]				,						)						->Union[str, Any]:
													super().__init__(**a     )

													SCREAMING_SNAKE_CASE__  :					Tuple =       hidden_size
													SCREAMING_SNAKE_CASE__  :					List[Any] =       output_channels
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       num_hidden_layers
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       num_attention_heads
													SCREAMING_SNAKE_CASE__  :					List[str] =       num_channels
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       image_size
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       patch_size
													SCREAMING_SNAKE_CASE__  :					List[str] =       hidden_act
													SCREAMING_SNAKE_CASE__  :					str =       layer_norm_eps
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       attention_dropout
													SCREAMING_SNAKE_CASE__  :					List[Any] =       initializer_range
													SCREAMING_SNAKE_CASE__  :					Tuple =       qkv_bias
													SCREAMING_SNAKE_CASE__  :					Tuple =       mlp_ratio
													SCREAMING_SNAKE_CASE__  :					Tuple =       use_abs_pos
													SCREAMING_SNAKE_CASE__  :					Dict =       use_rel_pos
													SCREAMING_SNAKE_CASE__  :					Tuple =       window_size
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       global_attn_indexes
													SCREAMING_SNAKE_CASE__  :					Any =       num_pos_feats
													SCREAMING_SNAKE_CASE__  :					int =       int(hidden_size * mlp_ratio     ) if mlp_dim is None else mlp_dim







class  _a  (					lowercase__				):






							"""simple docstring"""

							snake_case_							=    "sam"
							snake_case_							=    True

							def __init__(   self					:  str				,						a					:  Optional[int]=None				,						a					:  Any=None				,						a					:  Any=None				,						a					:  str=0.02				,						**a					:  int				,						)						->Optional[int]:
													super().__init__(**a     )
													SCREAMING_SNAKE_CASE__  :					Dict =       vision_config if vision_config is not None else {}
													SCREAMING_SNAKE_CASE__  :					str =       prompt_encoder_config if prompt_encoder_config is not None else {}
													SCREAMING_SNAKE_CASE__  :					Tuple =       mask_decoder_config if mask_decoder_config is not None else {}

													if isinstance(a				,						a     ):
																			SCREAMING_SNAKE_CASE__  :					Tuple =       vision_config.to_dict()
													if isinstance(a				,						a     ):
																			SCREAMING_SNAKE_CASE__  :					Dict =       prompt_encoder_config.to_dict()
													if isinstance(a				,						a     ):
																			SCREAMING_SNAKE_CASE__  :					List[Any] =       mask_decoder_config.to_dict()

													SCREAMING_SNAKE_CASE__  :					str =       SamVisionConfig(**a     )
													SCREAMING_SNAKE_CASE__  :					str =       SamPromptEncoderConfig(**a     )
													SCREAMING_SNAKE_CASE__  :					int =       SamMaskDecoderConfig(**a     )
													SCREAMING_SNAKE_CASE__  :					List[str] =       initializer_range






							def   A_	(   self					:  str     )						->Dict:
													SCREAMING_SNAKE_CASE__  :					int =       copy.deepcopy(self.__dict__     )
													SCREAMING_SNAKE_CASE__  :					str =       self.vision_config.to_dict()
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       self.prompt_encoder_config.to_dict()
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       self.mask_decoder_config.to_dict()
													SCREAMING_SNAKE_CASE__  :					Tuple =       self.__class__.model_type
													return output