
'''simple docstring'''



import functools
import operator

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


_lowercase          =						logging.get_logger(__name__)

_lowercase          =						{
    """asapp/sew-tiny-100k""": """https://huggingface.co/asapp/sew-tiny-100k/resolve/main/config.json""",
    # See all SEW models at https://huggingface.co/models?filter=sew
}




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						_lowercase						: Optional[int]										=  '''sew'''




						def __init__(   self       ,  _lowercase=32       ,  _lowercase=768       ,  _lowercase=12       ,  _lowercase=12       ,  _lowercase=3_072       ,  _lowercase=2       ,  _lowercase="gelu"       ,  _lowercase=0.1       ,  _lowercase=0.1       ,  _lowercase=0.1       ,  _lowercase=0.0       ,  _lowercase=0.1       ,  _lowercase=0.1       ,  _lowercase=0.02       ,  _lowercase=1e-5       ,  _lowercase="group"       ,  _lowercase="gelu"       ,  _lowercase=(64, 128, 128, 128, 128, 256, 256, 256, 256, 512, 512, 512, 512)       ,  _lowercase=(5, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1)       ,  _lowercase=(10, 3, 1, 3, 1, 3, 1, 3, 1, 2, 1, 2, 1)       ,  _lowercase=False       ,  _lowercase=128       ,  _lowercase=16       ,  _lowercase=True       ,  _lowercase=0.05       ,  _lowercase=10       ,  _lowercase=2       ,  _lowercase=0.0       ,  _lowercase=10       ,  _lowercase=0       ,  _lowercase="mean"       ,  _lowercase=False       ,  _lowercase=False       ,  _lowercase=256       ,  _lowercase=0       ,  _lowercase=1       ,  _lowercase=2       ,  **_lowercase       ,  ):

												"""simple docstring"""



												super().__init__(**_lowercase       ,  pad_token_id=_lowercase       ,  bos_token_id=_lowercase       ,  eos_token_id=_lowercase )
												_lowerCAmelCase    		=					hidden_size
												_lowerCAmelCase    		=					feat_extract_norm
												_lowerCAmelCase    		=					feat_extract_activation
												_lowerCAmelCase    		=					list(_lowercase )
												_lowerCAmelCase    		=					list(_lowercase )
												_lowerCAmelCase    		=					list(_lowercase )
												_lowerCAmelCase    		=					conv_bias
												_lowerCAmelCase    		=					num_conv_pos_embeddings
												_lowerCAmelCase    		=					num_conv_pos_embedding_groups
												_lowerCAmelCase    		=					len(self.conv_dim )
												_lowerCAmelCase    		=					num_hidden_layers
												_lowerCAmelCase    		=					intermediate_size
												_lowerCAmelCase    		=					squeeze_factor
												_lowerCAmelCase    		=					hidden_act
												_lowerCAmelCase    		=					num_attention_heads
												_lowerCAmelCase    		=					hidden_dropout
												_lowerCAmelCase    		=					attention_dropout
												_lowerCAmelCase    		=					activation_dropout
												_lowerCAmelCase    		=					feat_proj_dropout
												_lowerCAmelCase    		=					final_dropout
												_lowerCAmelCase    		=					layerdrop
												_lowerCAmelCase    		=					layer_norm_eps
												_lowerCAmelCase    		=					initializer_range
												_lowerCAmelCase    		=					vocab_size

												if (
												    (len(self.conv_stride ) != self.num_feat_extract_layers)
												    or (len(self.conv_kernel ) != self.num_feat_extract_layers)
												    or (len(self.conv_dim ) != self.num_feat_extract_layers)
												):
																		raise ValueError(
																		    """Configuration for convolutional layers is incorrect."""
																		    """It is required that `len(config.conv_dim)` == `len(config.conv_stride)` == `len(config.conv_kernel)`,"""
																		    F'but is `len(config.conv_dim) = {len(self.conv_dim )}`, `len(config.conv_stride)'
																		    F'= {len(self.conv_stride )}`, `len(config.conv_kernel) = {len(self.conv_kernel )}`.' )

												# fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
												_lowerCAmelCase    		=					apply_spec_augment
												_lowerCAmelCase    		=					mask_time_prob
												_lowerCAmelCase    		=					mask_time_length
												_lowerCAmelCase    		=					mask_time_min_masks
												_lowerCAmelCase    		=					mask_feature_prob
												_lowerCAmelCase    		=					mask_feature_length
												_lowerCAmelCase    		=					mask_feature_min_masks

												# ctc loss
												_lowerCAmelCase    		=					ctc_loss_reduction
												_lowerCAmelCase    		=					ctc_zero_infinity

												# sequence classification
												_lowerCAmelCase    		=					use_weighted_layer_sum
												_lowerCAmelCase    		=					classifier_proj_size




						@property
						def    _lowercase      (   self ):

												"""simple docstring"""



												return functools.reduce(operator.mul       ,  self.conv_stride       ,  1 )


'''simple docstring'''



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


_lowercase          =						logging.get_logger(__name__)

_lowercase          =						{
    """facebook/dpr-ctx_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-ctx_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-multiset-base""": (
        """https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"""
    ),
}




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						_lowercase						: str										=  '''dpr'''




						def __init__(   self       ,  _lowercase=30_522       ,  _lowercase=768       ,  _lowercase=12       ,  _lowercase=12       ,  _lowercase=3_072       ,  _lowercase="gelu"       ,  _lowercase=0.1       ,  _lowercase=0.1       ,  _lowercase=512       ,  _lowercase=2       ,  _lowercase=0.02       ,  _lowercase=1e-12       ,  _lowercase=0       ,  _lowercase="absolute"       ,  _lowercase = 0       ,  **_lowercase       ,  ):

												"""simple docstring"""



												super().__init__(pad_token_id=_lowercase       ,  **_lowercase )

												_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    		=					type_vocab_size
												_lowerCAmelCase    		=					initializer_range
												_lowerCAmelCase    		=					layer_norm_eps
												_lowerCAmelCase    		=					projection_dim
												_lowerCAmelCase    		=					position_embedding_type
