



'''simple docstring'''


import warnings
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


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

lowercase_      :				List[str]   					=							{
    """nvidia/segformer-b0-finetuned-ade-512-512""": (
        """https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json"""
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}




class      __UpperCamelCase       (__snake_case			):
	__A			  =					'segformer'







	def __init__(    self ,				_lowerCAmelCase=3 ,				_lowerCAmelCase=4 ,				_lowerCAmelCase=[2, 2, 2, 2] ,				_lowerCAmelCase=[8, 4, 2, 1] ,				_lowerCAmelCase=[32, 64, 160, 256] ,				_lowerCAmelCase=[7, 3, 3, 3] ,				_lowerCAmelCase=[4, 2, 2, 2] ,				_lowerCAmelCase=[1, 2, 5, 8] ,				_lowerCAmelCase=[4, 4, 4, 4] ,				_lowerCAmelCase="gelu" ,				_lowerCAmelCase=0.0 ,				_lowerCAmelCase=0.0 ,				_lowerCAmelCase=0.1 ,				_lowerCAmelCase=0.02 ,				_lowerCAmelCase=0.1 ,				_lowerCAmelCase=1E-6 ,				_lowerCAmelCase=256 ,				_lowerCAmelCase=255 ,				**_lowerCAmelCase ,				)    ->    List[Any]:
							'''simple docstring'''






							super().__init__(**A_						)

							if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
													warnings.warn(
													    """Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be"""
													    """ removed, as the behaviour will default to that of reshape_last_stage = True.""" ,				A_ ,				)

							lowercase        =							num_channels
							lowercase        =							num_encoder_blocks
							lowercase        =							depths
							lowercase        =							sr_ratios
							lowercase        =							hidden_sizes
							lowercase        =							patch_sizes
							lowercase        =							strides
							lowercase        =							mlp_ratios
							lowercase        =							num_attention_heads
							lowercase        =							hidden_act
							lowercase        =							hidden_dropout_prob
							lowercase        =							attention_probs_dropout_prob
							lowercase        =							classifier_dropout_prob
							lowercase        =							initializer_range
							lowercase        =							drop_path_rate
							lowercase        =							layer_norm_eps
							lowercase        =							decoder_hidden_size
							lowercase        =							kwargs.get("""reshape_last_stage""" ,				A_						)
							lowercase        =							semantic_loss_ignore_index




class      __UpperCamelCase       (__snake_case			):
	__A			  =					version.parse('''1.11'''			)







	@property
	def   _a   (    self						)    ->    Optional[Any]:
							'''simple docstring'''






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







	@property
	def   _a   (    self						)    ->    List[str]:
							'''simple docstring'''






							return 1E-4







	@property
	def   _a   (    self						)    ->    Optional[int]:
							'''simple docstring'''






							return 12







'''simple docstring'''


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def      SCREAMING_SNAKE_CASE				(				):
						lowercase        =							HfArgumentParser(lowercase_						)
						lowercase        =							parser.parse_args_into_dataclasses()[0]
						lowercase        =							TensorFlowBenchmark(args=lowercase_						)
						try:
												lowercase        =							parser.parse_args_into_dataclasses()[0]
						except ValueError as e:
												lowercase        =							"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
												lowercase        =							""" """.join(str(lowercase_						).split(""" """						)[:-1]						)
												lowercase        =							""""""
												lowercase        =							eval(str(lowercase_						).split(""" """						)[-1]						)
												lowercase        =							[]
												for arg in depreciated_args:
																		# arg[2:] removes '--'
																		if arg[2:] in TensorFlowBenchmark.deprecated_args:
																								# arg[5:] removes '--no_'
																								full_error_msg += arg_error_msg.format(arg[5:]						)
																		else:
																								wrong_args.append(lowercase_						)
												if len(lowercase_						) > 0:
																		lowercase        =							full_error_msg + begin_error_msg + str(lowercase_						)
												raise ValueError(lowercase_						)
						benchmark.run()


if __name__ == "__main__":
						main()


