


'''simple docstring'''






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


__UpperCAmelCase					       =							logging.get_logger(__name__)

__UpperCAmelCase					       =							{
    '''facebook/vit-mae-base''': '''https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json''',
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}




class 	a__       (							a__						):





							'''simple docstring'''






							lowercase__    :     int					=   "vit_mae"







							def __init__(	self      ,					lowerCamelCase_=7_68      ,					lowerCamelCase_=12      ,					lowerCamelCase_=12      ,					lowerCamelCase_=30_72      ,					lowerCamelCase_="gelu"      ,					lowerCamelCase_=0.0      ,					lowerCamelCase_=0.0      ,					lowerCamelCase_=0.02      ,					lowerCamelCase_=1e-12      ,					lowerCamelCase_=2_24      ,					lowerCamelCase_=16      ,					lowerCamelCase_=3      ,					lowerCamelCase_=True      ,					lowerCamelCase_=16      ,					lowerCamelCase_=5_12      ,					lowerCamelCase_=8      ,					lowerCamelCase_=20_48      ,					lowerCamelCase_=0.75      ,					lowerCamelCase_=False      ,					**lowerCamelCase_      ,					) ->							List[str]:
														super().__init__(**lowerCamelCase_     )

														lowerCAmelCase__      =			hidden_size
														lowerCAmelCase__      =			num_hidden_layers
														lowerCAmelCase__      =			num_attention_heads
														lowerCAmelCase__      =			intermediate_size
														lowerCAmelCase__      =			hidden_act
														lowerCAmelCase__      =			hidden_dropout_prob
														lowerCAmelCase__      =			attention_probs_dropout_prob
														lowerCAmelCase__      =			initializer_range
														lowerCAmelCase__      =			layer_norm_eps
														lowerCAmelCase__      =			image_size
														lowerCAmelCase__      =			patch_size
														lowerCAmelCase__      =			num_channels
														lowerCAmelCase__      =			qkv_bias
														lowerCAmelCase__      =			decoder_num_attention_heads
														lowerCAmelCase__      =			decoder_hidden_size
														lowerCAmelCase__      =			decoder_num_hidden_layers
														lowerCAmelCase__      =			decoder_intermediate_size
														lowerCAmelCase__      =			mask_ratio
														lowerCAmelCase__      =			norm_pix_loss



'''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


__UpperCAmelCase					       =							logging.get_logger(__name__)

__UpperCAmelCase					       =							'''T5Config'''


def       _snake_case     (  A				,					A				,					A )		->					jnp.ndarray:
							lowerCAmelCase__      =			jnp.zeros_like(A )
							lowerCAmelCase__      =			shifted_input_ids.at[:, 1:].set(input_ids[:, :-1] )
							lowerCAmelCase__      =			shifted_input_ids.at[:, 0].set(A )

							lowerCAmelCase__      =			jnp.where(shifted_input_ids == -100				,					A				,					A )
							return shifted_input_ids




class 	a__       (							a__						):





							'''simple docstring'''






							lowercase__    :     int					=   "mt5"
							lowercase__    :     Dict					=   MTaConfig




class 	a__       (							a__						):





							'''simple docstring'''






							lowercase__    :     int					=   "mt5"
							lowercase__    :     Any					=   MTaConfig




class 	a__       (							a__						):





							'''simple docstring'''






							lowercase__    :     Union[str, Any]					=   "mt5"
							lowercase__    :     Tuple					=   MTaConfig