





import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


a__: Dict							   =						logging.get_logger(__name__)




class        SCREAMING_SNAKE_CASE__					(		UpperCamelCase__ ):



 def __init__(				self,*__lowerCamelCase,**__lowerCamelCase					):
        warnings.warn(
            '''The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
            ''' use BeitImageProcessor instead.''',__lowerCamelCase,)
        super().__init__(*__lowerCamelCase,**__lowerCamelCase					)












a__: str							   =						'0.21.0'

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
       from .utils import rich





