


"""simple docstring"""






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


UpperCamelCase__				:Tuple			   =	logging.get_logger(__name__)

UpperCamelCase__				:Dict			   =	{
    """tanreinama/GPTSAN-2.8B-spout_is_uniform""": (
        """https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json"""
    ),
}






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		A    =							"gptsan-japanese"
		A    =							[
		    "past_key_values",
		]
		A    =							{
		    "hidden_size": "d_model",
		    "num_attention_heads": "num_heads",
		    "num_hidden_layers": "num_layers",
		}
		def __init__( self					,				SCREAMING_SNAKE_CASE__=3_60_00					,				SCREAMING_SNAKE_CASE__=12_80					,				SCREAMING_SNAKE_CASE__=10_24					,				SCREAMING_SNAKE_CASE__=81_92					,				SCREAMING_SNAKE_CASE__=40_96					,				SCREAMING_SNAKE_CASE__=1_28					,				SCREAMING_SNAKE_CASE__=10					,				SCREAMING_SNAKE_CASE__=0					,				SCREAMING_SNAKE_CASE__=16					,				SCREAMING_SNAKE_CASE__=16					,				SCREAMING_SNAKE_CASE__=1_28					,				SCREAMING_SNAKE_CASE__=0.0					,				SCREAMING_SNAKE_CASE__=1E-5					,				SCREAMING_SNAKE_CASE__=False					,				SCREAMING_SNAKE_CASE__=0.0					,				SCREAMING_SNAKE_CASE__="float32"					,				SCREAMING_SNAKE_CASE__=False					,				SCREAMING_SNAKE_CASE__=False					,				SCREAMING_SNAKE_CASE__=False					,				SCREAMING_SNAKE_CASE__=0.0_0_2					,				SCREAMING_SNAKE_CASE__=False					,				SCREAMING_SNAKE_CASE__=True					,				SCREAMING_SNAKE_CASE__=3_59_98					,				SCREAMING_SNAKE_CASE__=3_59_95					,				SCREAMING_SNAKE_CASE__=3_59_99					,				**SCREAMING_SNAKE_CASE__					,				)      ->	Dict:

					"""simple docstring"""



					_UpperCamelCase					:str					     =	vocab_size
					_UpperCamelCase					:Optional[Any]					     =	max_position_embeddings
					_UpperCamelCase					:str					     =	d_model
					_UpperCamelCase					:List[str]					     =	d_ff
					_UpperCamelCase					:str					     =	d_ext
					_UpperCamelCase					:Optional[int]					     =	d_spout
					_UpperCamelCase					:Dict					     =	num_switch_layers
					_UpperCamelCase					:Optional[int]					     =	num_ext_layers
					_UpperCamelCase					:str					     =	num_switch_layers + num_ext_layers
					_UpperCamelCase					:List[str]					     =	num_heads
					_UpperCamelCase					:List[str]					     =	num_experts
					_UpperCamelCase					:Union[str, Any]					     =	expert_capacity
					_UpperCamelCase					:int					     =	dropout_rate
					_UpperCamelCase					:str					     =	layer_norm_epsilon
					_UpperCamelCase					:int					     =	router_bias
					_UpperCamelCase					:Tuple					     =	router_jitter_noise
					_UpperCamelCase					:Optional[int]					     =	router_dtype
					_UpperCamelCase					:str					     =	router_ignore_padding_tokens
					_UpperCamelCase					:str					     =	output_hidden_states
					_UpperCamelCase					:Any					     =	output_attentions
					_UpperCamelCase					:Tuple					     =	initializer_factor
					_UpperCamelCase					:Dict					     =	output_router_logits
					_UpperCamelCase					:Optional[int]					     =	use_cache

					super().__init__(
					    separator_token_id=SCREAMING_SNAKE_CASE__					,				pad_token_id=SCREAMING_SNAKE_CASE__					,				eos_token_id=SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__					,				)





"""simple docstring"""






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__				:Union[str, Any]			   =	logging.get_logger(__name__)

UpperCamelCase__				:Union[str, Any]			   =	{
    """google/mobilenet_v2_1.4_224""": """https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json""",
    """google/mobilenet_v2_1.0_224""": """https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v2_0.75_160""": """https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json""",
    """google/mobilenet_v2_0.35_96""": """https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json""",
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		A    =							"mobilenet_v2"
		def __init__( self					,				SCREAMING_SNAKE_CASE__=3					,				SCREAMING_SNAKE_CASE__=2_24					,				SCREAMING_SNAKE_CASE__=1.0					,				SCREAMING_SNAKE_CASE__=8					,				SCREAMING_SNAKE_CASE__=8					,				SCREAMING_SNAKE_CASE__=6					,				SCREAMING_SNAKE_CASE__=32					,				SCREAMING_SNAKE_CASE__=True					,				SCREAMING_SNAKE_CASE__=True					,				SCREAMING_SNAKE_CASE__="relu6"					,				SCREAMING_SNAKE_CASE__=True					,				SCREAMING_SNAKE_CASE__=0.8					,				SCREAMING_SNAKE_CASE__=0.0_2					,				SCREAMING_SNAKE_CASE__=0.0_0_1					,				SCREAMING_SNAKE_CASE__=2_55					,				**SCREAMING_SNAKE_CASE__					,				)      ->	int:

					"""simple docstring"""



					super().__init__(**SCREAMING_SNAKE_CASE__   )

					if depth_multiplier <= 0:
								raise ValueError('''depth_multiplier must be greater than zero.'''   )

					_UpperCamelCase					:Optional[int]					     =	num_channels
					_UpperCamelCase					:Tuple					     =	image_size
					_UpperCamelCase					:Union[str, Any]					     =	depth_multiplier
					_UpperCamelCase					:Any					     =	depth_divisible_by
					_UpperCamelCase					:Optional[int]					     =	min_depth
					_UpperCamelCase					:Union[str, Any]					     =	expand_ratio
					_UpperCamelCase					:str					     =	output_stride
					_UpperCamelCase					:Tuple					     =	first_layer_is_expansion
					_UpperCamelCase					:Any					     =	finegrained_output
					_UpperCamelCase					:Union[str, Any]					     =	hidden_act
					_UpperCamelCase					:Any					     =	tf_padding
					_UpperCamelCase					:str					     =	classifier_dropout_prob
					_UpperCamelCase					:Optional[Any]					     =	initializer_range
					_UpperCamelCase					:int					     =	layer_norm_eps
					_UpperCamelCase					:Union[str, Any]					     =	semantic_loss_ignore_index






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		A    =							version.parse("1.11"		)
		@property
		def   _UpperCamelCase( self   )      ->	Mapping[str, Mapping[int, str]]:

					"""simple docstring"""



					return OrderedDict([('''pixel_values''', {0: '''batch'''})]   )
		@property
		def   _UpperCamelCase( self   )      ->	Mapping[str, Mapping[int, str]]:

					"""simple docstring"""



					if self.task == "image-classification":
								return OrderedDict([('''logits''', {0: '''batch'''})]   )
					else:
								return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]   )





		@property
		def   _UpperCamelCase( self   )      ->	float:

					"""simple docstring"""



					return 1E-4

