


import jax.numpy as jnp

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


snake_case_    :      Optional[Any]				    =				logging.get_logger(__name__)

snake_case_    :      Union[str, Any]				    =				"""T5Config"""







def     lowerCamelCase( a__						,a__						,a__):
				_SCREAMING_SNAKE_CASE      	=jnp.zeros_like(_lowercase)
				_SCREAMING_SNAKE_CASE      	=shifted_input_ids.at[:, 1:].set(input_ids[:, :-1])
				_SCREAMING_SNAKE_CASE      	=shifted_input_ids.at[:, 0].set(_lowercase)

				_SCREAMING_SNAKE_CASE      	=jnp.where(shifted_input_ids == -100						,_lowercase						,_lowercase)
				return shifted_input_ids

class     A__				(		_UpperCamelCase	):
						UpperCAmelCase   							=    "mt5"
						UpperCAmelCase   							=    MTaConfig

class     A__				(		_UpperCamelCase	):
						UpperCAmelCase   							=    "mt5"
						UpperCAmelCase   							=    MTaConfig

class     A__				(		_UpperCamelCase	):
						UpperCAmelCase   							=    "mt5"
						UpperCAmelCase   							=    MTaConfig






from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available


@dataclass
class       __lowerCAmelCase					(       _UpperCamelCase      ):


	'''simple docstring'''





	_A													=				42
	_A													=				42


if is_transformers_available() and is_torch_available():
			from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline


