






'''simple docstring'''







from typing import Mapping

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


__lowerCAmelCase					   =       logging.get_logger(__name__)

__lowerCAmelCase					   =       {
    "google/long-t5-local-base": "https://huggingface.co/google/long-t5-local-base/blob/main/config.json",
    "google/long-t5-local-large": "https://huggingface.co/google/long-t5-local-large/blob/main/config.json",
    "google/long-t5-tglobal-base": "https://huggingface.co/google/long-t5-tglobal-base/blob/main/config.json",
    "google/long-t5-tglobal-large": "https://huggingface.co/google/long-t5-tglobal-large/blob/main/config.json",
}




class      __SCREAMING_SNAKE_CASE					(__A					):


  """simple docstring"""


  _a     :   Tuple			 =    '''longt5'''
  _a     :   List[str]			 =    ['''past_key_values''']
  _a     :   Optional[int]			 =    {'''hidden_size''': '''d_model''', '''num_attention_heads''': '''num_heads''', '''num_hidden_layers''': '''num_layers'''}







  def __init__( self      ,  UpperCamelCase__=32_128      ,  UpperCamelCase__=512      ,  UpperCamelCase__=64      ,  UpperCamelCase__=2_048      ,  UpperCamelCase__=6      ,  UpperCamelCase__=None      ,  UpperCamelCase__=8      ,  UpperCamelCase__=127      ,  UpperCamelCase__=16      ,  UpperCamelCase__=32      ,  UpperCamelCase__=128      ,  UpperCamelCase__=0.1      ,  UpperCamelCase__=1e-6      ,  UpperCamelCase__=1.0      ,  UpperCamelCase__="relu"      ,  UpperCamelCase__=True      ,  UpperCamelCase__="local"      ,  UpperCamelCase__=True      ,  UpperCamelCase__=0      ,  UpperCamelCase__=1      ,  **UpperCamelCase__      ,  ):






         """simple docstring"""


         a_	    = vocab_size
         a_	    = d_model
         a_	    = d_kv
         a_	    = d_ff
         a_	    = num_layers
         # default = symmetry
         a_	    = num_decoder_layers if num_decoder_layers is not None else self.num_layers
         a_	    = num_heads
         a_	    = local_radius
         a_	    = global_block_size
         a_	    = relative_attention_num_buckets
         a_	    = relative_attention_max_distance
         a_	    = dropout_rate
         a_	    = layer_norm_epsilon
         a_	    = initializer_factor
         a_	    = feed_forward_proj
         a_	    = encoder_attention_type
         a_	    = use_cache

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

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

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





class      __SCREAMING_SNAKE_CASE					(__A					):


  """simple docstring"""


  @property
  def       _a					( self  ):






         """simple docstring"""


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

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

         return common_inputs







  @property
  def       _a					( self  ):






         """simple docstring"""


         return 13












'''simple docstring'''







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


__lowerCAmelCase					   =       logging.get_logger(__name__)

__lowerCAmelCase					   =       {
    "uw-madison/nystromformer-512": "https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}




class      __SCREAMING_SNAKE_CASE					(__A					):


  """simple docstring"""


  _a     :   Union[str, Any]			 =    '''nystromformer'''







  def __init__( self      ,  UpperCamelCase__=30_000      ,  UpperCamelCase__=768      ,  UpperCamelCase__=12      ,  UpperCamelCase__=12      ,  UpperCamelCase__=3_072      ,  UpperCamelCase__="gelu_new"      ,  UpperCamelCase__=0.1      ,  UpperCamelCase__=0.1      ,  UpperCamelCase__=510      ,  UpperCamelCase__=2      ,  UpperCamelCase__=64      ,  UpperCamelCase__=64      ,  UpperCamelCase__=65      ,  UpperCamelCase__=False      ,  UpperCamelCase__=0.02      ,  UpperCamelCase__=1e-5      ,  UpperCamelCase__=1      ,  UpperCamelCase__=0      ,  UpperCamelCase__=2      ,  **UpperCamelCase__      ,  ):






         """simple docstring"""


         a_	    = vocab_size
         a_	    = max_position_embeddings
         a_	    = hidden_size
         a_	    = num_hidden_layers
         a_	    = num_attention_heads
         a_	    = intermediate_size
         a_	    = hidden_act
         a_	    = hidden_dropout_prob
         a_	    = attention_probs_dropout_prob
         a_	    = initializer_range
         a_	    = type_vocab_size
         a_	    = segment_means_seq_len
         a_	    = num_landmarks
         a_	    = conv_kernel_size
         a_	    = inv_coeff_init_option
         a_	    = layer_norm_eps
         super().__init__(pad_token_id=UpperCamelCase__      ,  bos_token_id=UpperCamelCase__      ,  eos_token_id=UpperCamelCase__      ,  **UpperCamelCase__  )




