




'''simple docstring'''





import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


_UpperCAmelCase	:						List[str]			=     logging.get_logger(__name__)




class    __lowerCAmelCase       (							lowerCamelCase__):






       def __init__(   self:					Optional[int]       ,					*_lowerCAmelCase:					List[str]       ,					**_lowerCAmelCase:					Any				):
         warnings.warn(
             "The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
             " Please use SegformerImageProcessor instead."       ,					__lowerCamelCase       ,					)
         super().__init__(*__lowerCamelCase       ,					**__lowerCamelCase				)









_UpperCAmelCase	:						Union[str, Any]			=     "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



