

"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


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



class 					a						(       _lowerCamelCase				):



    """simple docstring"""



    def __init__(     self: Optional[Any]    ,						*UpperCamelCase: List[Any]    ,						**UpperCamelCase: Any       ):






         """simple docstring"""


         warnings.warn(
             """The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
             """ use GLPNImageProcessor instead."""    ,						UpperCamelCase    ,						)
         super().__init__(*UpperCamelCase    ,						**UpperCamelCase       )









"""simple docstring"""



SCREAMING_SNAKE_CASE_					:	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






