


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


snake_case_						:			int													=							{'''configuration_encoder_decoder''': ['''EncoderDecoderConfig''']}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_						:			Optional[Any]													=							['''EncoderDecoderModel''']

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_						:			List[str]													=							['''TFEncoderDecoderModel''']

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_						:			List[Any]													=							['''FlaxEncoderDecoderModel''']

if TYPE_CHECKING:
							from .configuration_encoder_decoder import EncoderDecoderConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_encoder_decoder import EncoderDecoderModel

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
							import sys

							snake_case_						:			Dict													=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)







from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


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

snake_case_						:			Optional[Any]													=							'''T5Config'''

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

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

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