

import jax.numpy as jnp

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


SCREAMING_SNAKE_CASE_        =      logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_        =      'T5Config'

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  jnp.array  ,      lowerCAmelCase:  int  ,      lowerCAmelCase:  int )   ->       jnp.ndarray:
				_UpperCAmelCase       :		Optional[int] 		=    jnp.zeros_like(lowerCAmelCase )
				_UpperCAmelCase       :		str 		=    shifted_input_ids.at[:, 1:].set(input_ids[:, :-1] )
				_UpperCAmelCase       :		str 		=    shifted_input_ids.at[:, 0].set(lowerCAmelCase )

				_UpperCAmelCase       :		Any 		=    jnp.where(shifted_input_ids == -100  ,      lowerCAmelCase  ,      lowerCAmelCase )
				return shifted_input_ids

class 				a  (	UpperCAmelCase				):
						_lowercase    						=			"mt5"
						_lowercase    						=			MTaConfig







class 				a  (	UpperCAmelCase				):
						_lowercase    						=			"mt5"
						_lowercase    						=			MTaConfig







class 				a  (	UpperCAmelCase				):
						_lowercase    						=			"mt5"
						_lowercase    						=			MTaConfig




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


SCREAMING_SNAKE_CASE_        =      logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_        =      {
    'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/resolve/main/config.json',
}

class 				a  (	UpperCAmelCase				):
						_lowercase    						=			"timesformer"


						def __init__(       self						,					A_=224						,					A_=16						,					A_=3						,					A_=8						,					A_=768						,					A_=12						,					A_=12						,					A_=3072						,					A_="gelu"						,					A_=0.0						,					A_=0.0						,					A_=0.02						,					A_=1e-6						,					A_=True						,					A_="divided_space_time"						,					A_=0						,					**A_						,					):







										'''simple docstring'''


										super().__init__(**A_	)

										_UpperCAmelCase       :		Union[str, Any] 		=    image_size
										_UpperCAmelCase       :		Tuple 		=    patch_size
										_UpperCAmelCase       :		Any 		=    num_channels
										_UpperCAmelCase       :		List[Any] 		=    num_frames

										_UpperCAmelCase       :		str 		=    hidden_size
										_UpperCAmelCase       :		Any 		=    num_hidden_layers
										_UpperCAmelCase       :		Dict 		=    num_attention_heads
										_UpperCAmelCase       :		Optional[int] 		=    intermediate_size
										_UpperCAmelCase       :		Union[str, Any] 		=    hidden_act
										_UpperCAmelCase       :		Optional[Any] 		=    hidden_dropout_prob
										_UpperCAmelCase       :		Tuple 		=    attention_probs_dropout_prob
										_UpperCAmelCase       :		Union[str, Any] 		=    initializer_range
										_UpperCAmelCase       :		Optional[Any] 		=    layer_norm_eps
										_UpperCAmelCase       :		str 		=    qkv_bias

										_UpperCAmelCase       :		Tuple 		=    attention_type
										_UpperCAmelCase       :		List[Any] 		=    drop_path_rate


