


"""simple docstring"""


import torch

from diffusers import DiffusionPipeline
class snake_case      (  _UpperCamelCase):







  def __init__(					self      :       int    ,   a__      :       Tuple    ,   a__      :       Tuple		)       ->						Optional[int]:





      '''simple docstring'''







      super().__init__()

      self.register_modules(unet=a__    ,   scheduler=a__		)







  def __call__(					self      :       List[str]		)       ->						str:





      '''simple docstring'''







      _A					  =			torch.randn(
          (1, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)    ,   )
      _A					  =			1

      _A					  =			self.unet(a__    ,   a__		).sample
      _A					  =			self.scheduler.step(a__    ,   a__    ,   a__		).prev_sample

      _A					  =			scheduler_output - scheduler_output + torch.ones_like(a__		)

      return result



"""simple docstring"""


import warnings

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


a_       							=    logging.get_logger(__name__)
class snake_case      (  _UpperCamelCase):







		def __init__(					self      :       str    ,   *a__      :       Dict    ,   **a__      :       Optional[int]		)       ->						None:





						'''simple docstring'''







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