
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


_snake_case      = logging.get_logger(__name__)

_snake_case      = {
    '''t5-small''': '''https://huggingface.co/t5-small/resolve/main/config.json''',
    '''t5-base''': '''https://huggingface.co/t5-base/resolve/main/config.json''',
    '''t5-large''': '''https://huggingface.co/t5-large/resolve/main/config.json''',
    '''t5-3b''': '''https://huggingface.co/t5-3b/resolve/main/config.json''',
    '''t5-11b''': '''https://huggingface.co/t5-11b/resolve/main/config.json''',
}
class       _lowerCAmelCase  (		__magic_name__							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					Union[str, Any]       						="t5"
 SCREAMING_SNAKE_CASE_				:					Union[str, Any]       						=["past_key_values"]
 SCREAMING_SNAKE_CASE_				:					Optional[Any]       						={"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}

 def __init__(						self			:			Any					, SCREAMING_SNAKE_CASE__			:			Any=3_21_28					, SCREAMING_SNAKE_CASE__			:			int=5_12					, SCREAMING_SNAKE_CASE__			:			int=64					, SCREAMING_SNAKE_CASE__			:			List[str]=20_48					, SCREAMING_SNAKE_CASE__			:			Any=6					, SCREAMING_SNAKE_CASE__			:			str=None					, SCREAMING_SNAKE_CASE__			:			List[Any]=8					, SCREAMING_SNAKE_CASE__			:			Tuple=32					, SCREAMING_SNAKE_CASE__			:			int=1_28					, SCREAMING_SNAKE_CASE__			:			List[Any]=0.1					, SCREAMING_SNAKE_CASE__			:			Optional[int]=1e-6					, SCREAMING_SNAKE_CASE__			:			List[str]=1.0					, SCREAMING_SNAKE_CASE__			:			str="relu"					, SCREAMING_SNAKE_CASE__			:			List[str]=True					, SCREAMING_SNAKE_CASE__			:			Any=True					, SCREAMING_SNAKE_CASE__			:			List[str]=0					, SCREAMING_SNAKE_CASE__			:			str=1					, **SCREAMING_SNAKE_CASE__			:			Dict					, ):






      """simple docstring"""



      UpperCamelCase						    =					vocab_size
      UpperCamelCase						    =					d_model
      UpperCamelCase						    =					d_kv
      UpperCamelCase						    =					d_ff
      UpperCamelCase						    =					num_layers
      UpperCamelCase						    =					(
          num_decoder_layers if num_decoder_layers is not None else self.num_layers
      )  # default = symmetry
      UpperCamelCase						    =					num_heads
      UpperCamelCase						    =					relative_attention_num_buckets
      UpperCamelCase						    =					relative_attention_max_distance
      UpperCamelCase						    =					dropout_rate
      UpperCamelCase						    =					layer_norm_epsilon
      UpperCamelCase						    =					initializer_factor
      UpperCamelCase						    =					feed_forward_proj
      UpperCamelCase						    =					use_cache

      UpperCamelCase						    =					self.feed_forward_proj.split('-'   )
      UpperCamelCase						    =					act_info[-1]
      UpperCamelCase						    =					act_info[0] == 'gated'

      if len(SCREAMING_SNAKE_CASE__   ) > 1 and act_info[0] != "gated" or len(SCREAMING_SNAKE_CASE__   ) > 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":
           UpperCamelCase						    =					'gelu_new'

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




class       _lowerCAmelCase  (		__magic_name__							):

 """simple docstring"""

 @property
 def      __lowerCAmelCase  (						self			:			Any   ):






      """simple docstring"""



      UpperCamelCase						    =					{
          'input_ids': {0: 'batch', 1: 'encoder_sequence'},
          'attention_mask': {0: 'batch', 1: 'encoder_sequence'},
      }
      if self.use_past:
           UpperCamelCase						    =					'past_encoder_sequence + sequence'
           UpperCamelCase						    =					{0: 'batch'}
           UpperCamelCase						    =					{0: 'batch', 1: 'past_decoder_sequence + sequence'}
      else:
           UpperCamelCase						    =					{0: 'batch', 1: 'decoder_sequence'}
           UpperCamelCase						    =					{0: 'batch', 1: 'decoder_sequence'}

      if self.use_past:
           self.fill_with_past_key_values_(SCREAMING_SNAKE_CASE__					, direction='inputs'   )

      return common_inputs






 @property
 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



      return 13




import logging

from transformers import PretrainedConfig


_snake_case      = logging.getLogger(__name__)


_snake_case      = {
    '''bertabs-finetuned-cnndm''': '''https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json''',
}
class       _lowerCAmelCase  (		__magic_name__							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					int       						="bertabs"

 def __init__(						self			:			Optional[int]					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=3_05_22					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=5_12					, SCREAMING_SNAKE_CASE__			:			List[Any]=6					, SCREAMING_SNAKE_CASE__			:			List[str]=5_12					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=8					, SCREAMING_SNAKE_CASE__			:			List[str]=5_12					, SCREAMING_SNAKE_CASE__			:			List[Any]=0.2					, SCREAMING_SNAKE_CASE__			:			Tuple=6					, SCREAMING_SNAKE_CASE__			:			Any=7_68					, SCREAMING_SNAKE_CASE__			:			str=8					, SCREAMING_SNAKE_CASE__			:			Dict=20_48					, SCREAMING_SNAKE_CASE__			:			List[str]=0.2					, **SCREAMING_SNAKE_CASE__			:			List[str]					, ):






      """simple docstring"""



      super().__init__(**SCREAMING_SNAKE_CASE__   )

      UpperCamelCase						    =					vocab_size
      UpperCamelCase						    =					max_pos

      UpperCamelCase						    =					enc_layers
      UpperCamelCase						    =					enc_hidden_size
      UpperCamelCase						    =					enc_heads
      UpperCamelCase						    =					enc_ff_size
      UpperCamelCase						    =					enc_dropout

      UpperCamelCase						    =					dec_layers
      UpperCamelCase						    =					dec_hidden_size
      UpperCamelCase						    =					dec_heads
      UpperCamelCase						    =					dec_ff_size
      UpperCamelCase						    =					dec_dropout


