


"""simple docstring"""
from typing import Callable, Optional, Union

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


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

__SCREAMING_SNAKE_CASE							:      int						=      {
    'microsoft/xprophetnet-large-wiki100-cased': (
        'https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json'
    ),
}





class        __A       (snake_case__):





							'''simple docstring'''

							__lowercase:						Optional[Any]							 =      """xlm-prophetnet"""
							__lowercase:						str							 =      ["""past_key_values"""]
							__lowercase:						Union[str, Any]							 =      {
							    """num_attention_heads""": """num_encoder_attention_heads""",
							}



							def __init__(			self							: Any						,    UpperCAmelCase_							: Optional[float] = 0.1						,    UpperCAmelCase_							: Optional[Union[str, Callable]] = "gelu"						,    UpperCAmelCase_							: Optional[int] = 30_522						,    UpperCAmelCase_							: Optional[int] = 1_024						,    UpperCAmelCase_							: Optional[int] = 4_096						,    UpperCAmelCase_							: Optional[int] = 12						,    UpperCAmelCase_							: Optional[int] = 16						,    UpperCAmelCase_							: Optional[int] = 4_096						,    UpperCAmelCase_							: Optional[int] = 12						,    UpperCAmelCase_							: Optional[int] = 16						,    UpperCAmelCase_							: Optional[float] = 0.1						,    UpperCAmelCase_							: Optional[float] = 0.1						,    UpperCAmelCase_							: Optional[int] = 512						,    UpperCAmelCase_							: Optional[float] = 0.02						,    UpperCAmelCase_							: Optional[bool] = True						,    UpperCAmelCase_							: Optional[bool] = True						,    UpperCAmelCase_							: Optional[int] = 0						,    UpperCAmelCase_							: Optional[int] = 2						,    UpperCAmelCase_							: Optional[int] = 32						,    UpperCAmelCase_							: Optional[int] = 128						,    UpperCAmelCase_							: Optional[bool] = False						,    UpperCAmelCase_							: Optional[float] = 0.0						,    UpperCAmelCase_							: Optional[bool] = True						,    UpperCAmelCase_							: Optional[int] = 0						,    UpperCAmelCase_							: Optional[int] = 1						,    UpperCAmelCase_							: Optional[int] = 2						,    **UpperCAmelCase_							: str						,    )   ->int:



														"""simple docstring"""



														snake_case_          =						vocab_size
														snake_case_          =						hidden_size
														snake_case_          =						encoder_ffn_dim
														snake_case_          =						num_encoder_layers
														snake_case_          =						num_encoder_attention_heads
														snake_case_          =						decoder_ffn_dim
														snake_case_          =						num_decoder_layers
														snake_case_          =						num_decoder_attention_heads
														snake_case_          =						max_position_embeddings
														snake_case_          =						init_std  # Normal(0, this parameter)
														snake_case_          =						activation_function

														# parameters for xlmprophetnet
														snake_case_          =						ngram
														snake_case_          =						num_buckets
														snake_case_          =						relative_max_distance
														snake_case_          =						disable_ngram_loss
														snake_case_          =						eps

														# 3 Types of Dropout
														snake_case_          =						attention_dropout
														snake_case_          =						activation_dropout
														snake_case_          =						dropout

														snake_case_          =						use_cache

														super().__init__(
														    pad_token_id=UpperCAmelCase_						,    bos_token_id=UpperCAmelCase_						,    eos_token_id=UpperCAmelCase_						,    is_encoder_decoder=UpperCAmelCase_						,    add_cross_attention=UpperCAmelCase_						,    decoder_start_token_id=UpperCAmelCase_						,    **UpperCAmelCase_						,    )



							@property
							def 						lowerCAmelCase    (			self							: str    )   ->int:



														"""simple docstring"""



														return self.num_encoder_layers + self.num_decoder_layers



							@num_hidden_layers.setter
							def 						lowerCAmelCase    (			self							: int						,    UpperCAmelCase_							: Union[str, Any]    )   ->List[Any]:



														"""simple docstring"""



														raise NotImplementedError(
														    """This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"""
														    """ `num_decoder_layers`."""    )







"""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


__SCREAMING_SNAKE_CASE							:      Dict						=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE							:      Tuple						=      {
    'google/mobilenet_v1_1.0_224': 'https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json',
    'google/mobilenet_v1_0.75_192': 'https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}





class        __A       (snake_case__):





							'''simple docstring'''

							__lowercase:						List[Any]							 =      """mobilenet_v1"""



							def __init__(			self							: Union[str, Any]						,    UpperCAmelCase_							: str=3						,    UpperCAmelCase_							: List[Any]=224						,    UpperCAmelCase_							: List[Any]=1.0						,    UpperCAmelCase_							: Any=8						,    UpperCAmelCase_							: int="relu6"						,    UpperCAmelCase_							: str=True						,    UpperCAmelCase_							: List[str]=0.999						,    UpperCAmelCase_							: Optional[Any]=0.02						,    UpperCAmelCase_							: List[Any]=0.001						,    **UpperCAmelCase_							: Any						,    )   ->Union[str, Any]:



														"""simple docstring"""



														super().__init__(**UpperCAmelCase_    )

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

														snake_case_          =						num_channels
														snake_case_          =						image_size
														snake_case_          =						depth_multiplier
														snake_case_          =						min_depth
														snake_case_          =						hidden_act
														snake_case_          =						tf_padding
														snake_case_          =						classifier_dropout_prob
														snake_case_          =						initializer_range
														snake_case_          =						layer_norm_eps





class        __A       (snake_case__):





							'''simple docstring'''

							__lowercase:						int							 =      version.parse("""1.11""")



							@property
							def 						lowerCAmelCase    (			self							: Union[str, Any]    )   ->Mapping[str, Mapping[int, str]]:



														"""simple docstring"""



														return OrderedDict([("""pixel_values""", {0: """batch"""})]    )



							@property
							def 						lowerCAmelCase    (			self							: int    )   ->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 						lowerCAmelCase    (			self							: int    )   ->float:



														"""simple docstring"""



														return 1E-4



