


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


a					  =     logging.get_logger(__name__)

a					  =     {
    '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__   (	__magic_name__   ):
					__SCREAMING_SNAKE_CASE       :  Optional[Any]						=   'segformer'

					def __init__(     self       :   int							,					UpperCamelCase__       :   Any=3							,					UpperCamelCase__       :   List[Any]=4							,					UpperCamelCase__       :   Optional[Any]=[2, 2, 2, 2]							,					UpperCamelCase__       :   Optional[Any]=[8, 4, 2, 1]							,					UpperCamelCase__       :   Any=[32, 64, 160, 256]							,					UpperCamelCase__       :   Optional[Any]=[7, 3, 3, 3]							,					UpperCamelCase__       :   Optional[int]=[4, 2, 2, 2]							,					UpperCamelCase__       :   Optional[int]=[1, 2, 5, 8]							,					UpperCamelCase__       :   Any=[4, 4, 4, 4]							,					UpperCamelCase__       :   str="gelu"							,					UpperCamelCase__       :   Any=0.0							,					UpperCamelCase__       :   Tuple=0.0							,					UpperCamelCase__       :   Optional[Any]=0.1							,					UpperCamelCase__       :   Dict=0.02							,					UpperCamelCase__       :   Tuple=0.1							,					UpperCamelCase__       :   Any=1e-6							,					UpperCamelCase__       :   Tuple=256							,					UpperCamelCase__       :   Optional[Any]=255							,					**UpperCamelCase__       :   int							,					):






										'''simple docstring'''






										super().__init__(**UpperCamelCase__       )

										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."""							,					UpperCamelCase__							,					)

										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"""							,					UpperCamelCase__       )
										lowercase_  							=			semantic_loss_ignore_index







class        UpperCamelCase__   (	__magic_name__   ):
					__SCREAMING_SNAKE_CASE       :  List[Any]						=   version.parse('1.11'   )

					@property
					def   UpperCAmelCase__       (     self       :   Tuple       ):






										'''simple docstring'''






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

					@property
					def   UpperCAmelCase__       (     self       :   List[str]       ):






										'''simple docstring'''






										return 1e-4







					@property
					def   UpperCAmelCase__       (     self       :   List[str]       ):






										'''simple docstring'''






										return 12






import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse('9.1.0'):
							a					  =     {
							    'linear': PIL.Image.Resampling.BILINEAR,
							    'bilinear': PIL.Image.Resampling.BILINEAR,
							    'bicubic': PIL.Image.Resampling.BICUBIC,
							    'lanczos': PIL.Image.Resampling.LANCZOS,
							    'nearest': PIL.Image.Resampling.NEAREST,
							}
else:
							a					  =     {
							    'linear': PIL.Image.LINEAR,
							    'bilinear': PIL.Image.BILINEAR,
							    'bicubic': PIL.Image.BICUBIC,
							    'lanczos': PIL.Image.LANCZOS,
							    'nearest': PIL.Image.NEAREST,
							}


def 			UpperCAmelCase_				(      UpperCAmelCase__  ):
					lowercase_  							=			(images / 2 + 0.5).clamp(0						,							1  )
					lowercase_  							=			images.cpu().permute(0						,							2						,							3						,							1  ).float().numpy()
					lowercase_  							=			numpy_to_pil(UpperCAmelCase__  )
					return images



def 			UpperCAmelCase_				(      UpperCAmelCase__  ):
					if images.ndim == 3:
										lowercase_  							=			images[None, ...]
					lowercase_  							=			(images * 2_5_5).round().astype("""uint8"""  )
					if images.shape[-1] == 1:
										# special case for grayscale (single channel) images
										lowercase_  							=			[Image.fromarray(image.squeeze()						,							mode="""L"""  ) for image in images]
					else:
										lowercase_  							=			[Image.fromarray(UpperCAmelCase__  ) for image in images]

					return pil_images


