


"""simple docstring"""







import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version
def 					a__			(				*SCREAMING_SNAKE_CASE    :    int				,      SCREAMING_SNAKE_CASE    :    Optional[Union[Dict, Any]] = None				,      SCREAMING_SNAKE_CASE    :    Dict=True				,      SCREAMING_SNAKE_CASE    :    List[Any]=2				):


  '''simple docstring'''







  from .. import __version__

  lowerCAmelCase     :     str								=							take_from
  lowerCAmelCase     :     Optional[Any]								=							()
  if not isinstance(args[0]				,      SCREAMING_SNAKE_CASE				):
    lowerCAmelCase     :     Any								=							(args,)

  for attribute, version_name, message in args:
    if version.parse(version.parse(SCREAMING_SNAKE_CASE				).base_version				) >= version.parse(SCREAMING_SNAKE_CASE				):
      raise ValueError(
          f"""The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"""
          f""" version {__version__} is >= {version_name}"""				)

    lowerCAmelCase     :     Optional[Any]								=							None
    if isinstance(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				) and attribute in deprecated_kwargs:
      values += (deprecated_kwargs.pop(SCREAMING_SNAKE_CASE				),)
      lowerCAmelCase     :     Any								=							f"""The `{attribute}` argument is deprecated and will be removed in version {version_name}."""
    elif hasattr(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				):
      values += (getattr(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				),)
      lowerCAmelCase     :     Tuple								=							f"""The `{attribute}` attribute is deprecated and will be removed in version {version_name}."""
    elif deprecated_kwargs is None:
      lowerCAmelCase     :     Optional[int]								=							f"""`{attribute}` is deprecated and will be removed in version {version_name}."""

    if warning is not None:
      lowerCAmelCase     :     Optional[int]								=							warning + " " if standard_warn else ""
      warnings.warn(warning + message				,      SCREAMING_SNAKE_CASE				,      stacklevel=SCREAMING_SNAKE_CASE				)

  if isinstance(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				) and len(SCREAMING_SNAKE_CASE				) > 0:
    lowerCAmelCase     :     Optional[int]								=							inspect.getouterframes(inspect.currentframe()				)[1]
    lowerCAmelCase     :     Union[str, Any]								=							call_frame.filename
    lowerCAmelCase     :     Optional[int]								=							call_frame.lineno
    lowerCAmelCase     :     Any								=							call_frame.function
    lowerCAmelCase						,  lowerCAmelCase     :     List[str]								=							next(iter(deprecated_kwargs.items()				)				)
    raise TypeError(f"""{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"""				)

  if len(SCREAMING_SNAKE_CASE				) == 0:
    return
  elif len(SCREAMING_SNAKE_CASE				) == 1:
    return values[0]
  return values









"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase__      				=   logging.get_logger(__name__)

lowerCAmelCase__      				=   {
    '''facebook/data2vec-vision-base-ft''': (
        '''https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'''
    ),
}


class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       a  :				List[Any]   ="data2vec-vision"

       def __init__(						self		,     snake_case__=768		,     snake_case__=12		,     snake_case__=12		,     snake_case__=3_072		,     snake_case__="gelu"		,     snake_case__=0.0		,     snake_case__=0.0		,     snake_case__=0.02		,     snake_case__=1e-12		,     snake_case__=224		,     snake_case__=16		,     snake_case__=3		,     snake_case__=False		,     snake_case__=False		,     snake_case__=False		,     snake_case__=False		,     snake_case__=0.1		,     snake_case__=0.1		,     snake_case__=True		,     snake_case__=[3, 5, 7, 11]		,     snake_case__=[1, 2, 3, 6]		,     snake_case__=True		,     snake_case__=0.4		,     snake_case__=256		,     snake_case__=1		,     snake_case__=False		,     snake_case__=255		,     **snake_case__		,     ):






         """simple docstring"""





         super().__init__(**snake_case__						)

         lowerCAmelCase     :     Tuple								=							hidden_size
         lowerCAmelCase     :     List[Any]								=							num_hidden_layers
         lowerCAmelCase     :     Tuple								=							num_attention_heads
         lowerCAmelCase     :     Optional[int]								=							intermediate_size
         lowerCAmelCase     :     Optional[int]								=							hidden_act
         lowerCAmelCase     :     Dict								=							hidden_dropout_prob
         lowerCAmelCase     :     Optional[Any]								=							attention_probs_dropout_prob
         lowerCAmelCase     :     int								=							initializer_range
         lowerCAmelCase     :     Dict								=							layer_norm_eps

         lowerCAmelCase     :     Optional[int]								=							image_size
         lowerCAmelCase     :     Optional[Any]								=							patch_size
         lowerCAmelCase     :     Optional[Any]								=							num_channels
         lowerCAmelCase     :     Union[str, Any]								=							use_mask_token
         lowerCAmelCase     :     str								=							use_absolute_position_embeddings
         lowerCAmelCase     :     Any								=							use_relative_position_bias
         lowerCAmelCase     :     List[str]								=							use_shared_relative_position_bias
         lowerCAmelCase     :     str								=							layer_scale_init_value
         lowerCAmelCase     :     Union[str, Any]								=							drop_path_rate
         lowerCAmelCase     :     Any								=							use_mean_pooling
         # decode head attributes (semantic segmentation)
         lowerCAmelCase     :     Optional[int]								=							out_indices
         lowerCAmelCase     :     Union[str, Any]								=							pool_scales
         # auxiliary head attributes (semantic segmentation)
         lowerCAmelCase     :     str								=							use_auxiliary_head
         lowerCAmelCase     :     int								=							auxiliary_loss_weight
         lowerCAmelCase     :     Tuple								=							auxiliary_channels
         lowerCAmelCase     :     List[str]								=							auxiliary_num_convs
         lowerCAmelCase     :     Tuple								=							auxiliary_concat_input
         lowerCAmelCase     :     List[str]								=							semantic_loss_ignore_index


class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       a  :				Union[str, Any]   =version.parse("1.11"				)

       @property
       def        lowercase__							(						self						):






         """simple docstring"""





         return OrderedDict(
             [
                 ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
             ]						)







       @property
       def        lowercase__							(						self						):






         """simple docstring"""





         return 1e-4





