



"""simple docstring"""







from typing import TYPE_CHECKING

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


lowerCAmelCase_   						=   {
    "configuration_mega": ["MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegaConfig", "MegaOnnxConfig"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   [
							    "MEGA_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "MegaForCausalLM",
							    "MegaForMaskedLM",
							    "MegaForMultipleChoice",
							    "MegaForQuestionAnswering",
							    "MegaForSequenceClassification",
							    "MegaForTokenClassification",
							    "MegaModel",
							    "MegaPreTrainedModel",
							]

if TYPE_CHECKING:
							from .configuration_mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig, MegaOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mega import (
														    MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MegaForCausalLM,
														    MegaForMaskedLM,
														    MegaForMultipleChoice,
														    MegaForQuestionAnswering,
														    MegaForSequenceClassification,
														    MegaForTokenClassification,
														    MegaModel,
														    MegaPreTrainedModel,
														)

else:
							import sys

							lowerCAmelCase_   						=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







'''simple docstring'''

import warnings


warnings.warn(
    "memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: "
    "`from accelerate import find_executable_batch_size` to avoid this warning.",
    FutureWarning,
)



