

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


_a		       =   logging.get_logger(__name__)

_a		       =   {
    '''vinvino02/glpn-kitti''': '''https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json''',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}






class 							A_ (		__snake_case					):
     _lowercase			:     Dict								=	"""glpn"""


     def __init__(							self			:		List[str]			,  UpperCAmelCase			:		Any=3			,  UpperCAmelCase			:		Dict=4			,  UpperCAmelCase			:		Optional[Any]=[2, 2, 2, 2]			,  UpperCAmelCase			:		Tuple=[8, 4, 2, 1]			,  UpperCAmelCase			:		str=[3_2, 6_4, 1_6_0, 2_5_6]			,  UpperCAmelCase			:		Union[str, Any]=[7, 3, 3, 3]			,  UpperCAmelCase			:		Optional[Any]=[4, 2, 2, 2]			,  UpperCAmelCase			:		Optional[int]=[1, 2, 5, 8]			,  UpperCAmelCase			:		Tuple=[4, 4, 4, 4]			,  UpperCAmelCase			:		List[str]="gelu"			,  UpperCAmelCase			:		Optional[int]=0.0			,  UpperCAmelCase			:		int=0.0			,  UpperCAmelCase			:		List[Any]=0.02			,  UpperCAmelCase			:		int=0.1			,  UpperCAmelCase			:		Optional[Any]=1E-6			,  UpperCAmelCase			:		Tuple=6_4			,  UpperCAmelCase			:		Optional[int]=1_0			,  UpperCAmelCase			:		Optional[Any]=-1			,  **UpperCAmelCase			:		Optional[Any]			,  )							->	Optional[int]:
      super().__init__(**UpperCamelCase__					)

      __lowerCAmelCase:   Optional[int]   	=      num_channels
      __lowerCAmelCase:   List[Any]   	=      num_encoder_blocks
      __lowerCAmelCase:   Union[str, Any]   	=      depths
      __lowerCAmelCase:   Union[str, Any]   	=      sr_ratios
      __lowerCAmelCase:   Union[str, Any]   	=      hidden_sizes
      __lowerCAmelCase:   Union[str, Any]   	=      patch_sizes
      __lowerCAmelCase:   str   	=      strides
      __lowerCAmelCase:   List[Any]   	=      mlp_ratios
      __lowerCAmelCase:   Optional[int]   	=      num_attention_heads
      __lowerCAmelCase:   Optional[int]   	=      hidden_act
      __lowerCAmelCase:   str   	=      hidden_dropout_prob
      __lowerCAmelCase:   Dict   	=      attention_probs_dropout_prob
      __lowerCAmelCase:   str   	=      initializer_range
      __lowerCAmelCase:   Any   	=      drop_path_rate
      __lowerCAmelCase:   Optional[int]   	=      layer_norm_eps
      __lowerCAmelCase:   List[str]   	=      decoder_hidden_size
      __lowerCAmelCase:   Any   	=      max_depth
      __lowerCAmelCase:   List[str]   	=      head_in_index








"""simple docstring"""


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


__A						   =			logging.get_logger(__name__)

__A						   =			{
    "google/switch-base-8": "https://huggingface.co/google/switch-base-8/blob/main/config.json",
}





class     snake_case	(				__snake_case  ):
				SCREAMING_SNAKE_CASE_   :      Union[str, Any]         =  """switch_transformers"""
				SCREAMING_SNAKE_CASE_   :      Tuple         =  ["""past_key_values"""]
				SCREAMING_SNAKE_CASE_   :      Any         =  {"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}

				def __init__(	self							:				List[str]     ,  UpperCamelCase__							:				List[str]=3_2_1_2_8     ,  UpperCamelCase__							:				str=7_6_8     ,  UpperCamelCase__							:				Union[str, Any]=6_4     ,  UpperCamelCase__							:				Optional[int]=2_0_4_8     ,  UpperCamelCase__							:				Dict=6_4     ,  UpperCamelCase__							:				List[str]=1_2     ,  UpperCamelCase__							:				Dict=3     ,  UpperCamelCase__							:				Any=1_2     ,  UpperCamelCase__							:				Dict=3     ,  UpperCamelCase__							:				Dict=1_2     ,  UpperCamelCase__							:				List[str]=8     ,  UpperCamelCase__							:				Optional[Any]=False     ,  UpperCamelCase__							:				Optional[int]=0.01     ,  UpperCamelCase__							:				Optional[int]="float32"     ,  UpperCamelCase__							:				Any=False     ,  UpperCamelCase__							:				Dict=3_2     ,  UpperCamelCase__							:				Union[str, Any]=1_2_8     ,  UpperCamelCase__							:				Union[str, Any]=0.1     ,  UpperCamelCase__							:				Optional[int]=1e-6     ,  UpperCamelCase__							:				Optional[Any]=0.001     ,  UpperCamelCase__							:				Dict=0.001     ,  UpperCamelCase__							:				int=1.0     ,  UpperCamelCase__							:				str="relu"     ,  UpperCamelCase__							:				int=True     ,  UpperCamelCase__							:				Any=False     ,  UpperCamelCase__							:				str=True     ,  UpperCamelCase__							:				Tuple=0     ,  UpperCamelCase__							:				str=1     ,  **UpperCamelCase__							:				Tuple     ,  )->   Optional[Any]:



						'''simple docstring'''


						__lowerCAmelCase:       int          =			vocab_size
						__lowerCAmelCase:       str          =			d_model
						__lowerCAmelCase:       str          =			d_kv
						__lowerCAmelCase:       str          =			d_ff

						__lowerCAmelCase:       List[str]          =			num_sparse_encoder_layers

						__lowerCAmelCase:       List[Any]          =			num_layers
						__lowerCAmelCase:       Optional[Any]          =			(
						    num_decoder_layers if num_decoder_layers is not None else self.num_layers
						)  # default = symmetry
						__lowerCAmelCase:       Tuple          =			num_sparse_decoder_layers

						# This tells us, each how many encoder layer we'll have to set a sparse layer.
						if self.num_sparse_encoder_layers > 0:
								__lowerCAmelCase:       int          =			self.num_layers // self.num_sparse_encoder_layers
						else:
								__lowerCAmelCase:       Union[str, Any]          =			self.num_layers  # HACK: this will create 0 sparse layers

						# This tells us, each how many encoder layer we'll have to set a sparse layer.
						if self.num_sparse_decoder_layers > 0:
								__lowerCAmelCase:       Dict          =			self.num_decoder_layers // self.num_sparse_decoder_layers
						else:
								__lowerCAmelCase:       Any          =			self.num_decoder_layers  # HACK: this will create 0 sparse layers

						__lowerCAmelCase:       Dict          =			num_heads
						__lowerCAmelCase:       Dict          =			num_experts
						__lowerCAmelCase:       Any          =			expert_capacity
						__lowerCAmelCase:       List[Any]          =			router_bias
						__lowerCAmelCase:       int          =			router_jitter_noise
						if router_dtype not in ["float32", "float16", "bfloat16"]:
								raise ValueError(f"`router_dtype` must be one of 'float32', 'float16' or 'bfloat16', got {router_dtype}")
						__lowerCAmelCase:       Dict          =			router_dtype

						__lowerCAmelCase:       Optional[Any]          =			router_ignore_padding_tokens
						__lowerCAmelCase:       Union[str, Any]          =			relative_attention_num_buckets
						__lowerCAmelCase:       str          =			relative_attention_max_distance

						__lowerCAmelCase:       Optional[int]          =			dropout_rate
						__lowerCAmelCase:       Optional[Any]          =			layer_norm_epsilon
						__lowerCAmelCase:       int          =			initializer_factor
						__lowerCAmelCase:       Tuple          =			feed_forward_proj
						__lowerCAmelCase:       int          =			use_cache
						__lowerCAmelCase:       int          =			add_router_probs

						__lowerCAmelCase:       Optional[Any]          =			router_z_loss_coef
						__lowerCAmelCase:       Dict          =			router_aux_loss_coef

						__lowerCAmelCase:       Union[str, Any]          =			self.feed_forward_proj.split("-")
						__lowerCAmelCase:       Tuple          =			act_info[-1]
						__lowerCAmelCase:       str          =			act_info[0] == "gated"

						if len(UpperCamelCase__) > 1 and act_info[0] != "gated" or len(UpperCamelCase__) > 2:
								raise ValueError(
								    f"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."
								    "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. "
								    "'gated-gelu' or 'relu'")

						# for backwards compatibility
						if feed_forward_proj == "gated-gelu":
								__lowerCAmelCase:       List[str]          =			"gelu_new"

						super().__init__(
						    pad_token_id=UpperCamelCase__     ,  eos_token_id=UpperCamelCase__     ,  is_encoder_decoder=UpperCamelCase__     ,  **UpperCamelCase__     ,  )


