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


_UpperCAmelCase    			=					logging.get_logger(__name__)

_UpperCAmelCase    			=					{
    "microsoft/mpnet-base": "https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json",
}

class 		__magic_name__				( lowercase_					):


  """simple docstring"""





  _UpperCamelCase						 = "mpnet"


  def __init__(					self	,		a__=3_05_27	,		a__=7_68	,		a__=12	,		a__=12	,		a__=30_72	,		a__="gelu"	,		a__=0.1	,		a__=0.1	,		a__=5_12	,		a__=0.02	,		a__=1E-12	,		a__=32	,		a__=1	,		a__=0	,		a__=2	,		**a__	,		):
    super().__init__(pad_token_id=a__	,		bos_token_id=a__	,		eos_token_id=a__	,		**a__		)

    _lowerCamelCase      =						vocab_size
    _lowerCamelCase      =						hidden_size
    _lowerCamelCase      =						num_hidden_layers
    _lowerCamelCase      =						num_attention_heads
    _lowerCamelCase      =						hidden_act
    _lowerCamelCase      =						intermediate_size
    _lowerCamelCase      =						hidden_dropout_prob
    _lowerCamelCase      =						attention_probs_dropout_prob
    _lowerCamelCase      =						max_position_embeddings
    _lowerCamelCase      =						initializer_range
    _lowerCamelCase      =						layer_norm_eps
    _lowerCamelCase      =						relative_attention_num_buckets






import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


_UpperCAmelCase    			=					logging.get_logger(__name__)

class 		__magic_name__				( lowercase_					):


  """simple docstring"""





  def __init__(					self	,		*a__	,		**a__		):
    warnings.warn(
        '''The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
        ''' Please use ConditionalDetrImageProcessor instead.'''	,		a__	,		)
    super().__init__(*a__	,		**a__		)




