





"""simple docstring"""
import jax.numpy as jnp

from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig


lowerCamelCase_       =		logging.get_logger(__name__)

lowerCamelCase_       =		"T5Config"



def 					__lowerCamelCase       (							a_					:		jnp.array			,       a_					:		int			,       a_					:		int							)      ->				jnp.ndarray:
      __SCREAMING_SNAKE_CASE       :Tuple		    =  jnp.zeros_like(a_							)
      __SCREAMING_SNAKE_CASE       :Tuple		    =  shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]							)
      __SCREAMING_SNAKE_CASE       :Any		    =  shifted_input_ids.at[:, 0].set(a_							)

      __SCREAMING_SNAKE_CASE       :int		    =  jnp.where(shifted_input_ids == -1_00			,       a_			,       a_							)
      return shifted_input_ids






class  _SCREAMING_SNAKE_CASE(       A  ):
       SCREAMING_SNAKE_CASE_       :				Optional[Any]     						=  '''mt5'''
       SCREAMING_SNAKE_CASE_       :				Union[str, Any]     						=  MTaConfig






class  _SCREAMING_SNAKE_CASE(       A  ):
       SCREAMING_SNAKE_CASE_       :				Optional[Any]     						=  '''mt5'''
       SCREAMING_SNAKE_CASE_       :				Union[str, Any]     						=  MTaConfig






class  _SCREAMING_SNAKE_CASE(       A  ):
       SCREAMING_SNAKE_CASE_       :				Union[str, Any]     						=  '''mt5'''
       SCREAMING_SNAKE_CASE_       :				Union[str, Any]     						=  MTaConfig






"""simple docstring"""
from torch import nn






class  _SCREAMING_SNAKE_CASE(       nn.Module  ):




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)      ->				List[str]:





             """simple docstring"""






             super().__init__()
             __SCREAMING_SNAKE_CASE       :Tuple		    =  class_size
             __SCREAMING_SNAKE_CASE       :str		    =  embed_size
             # self.mlp1 = nn.Linear(embed_size, embed_size)
             # self.mlp2 = (nn.Linear(embed_size, class_size))
             __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  nn.Linear(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[int]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  self.mlp(SCREAMING_SNAKE_CASE__							)
             return logits