






from typing import List, Optional, Tuple, Union

import torch

from ...models import UNetaDModel
from ...schedulers import PNDMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class 	a_(		lowercase__	):



     """simple docstring"""



     __snake_case		:				UNetaDModel
     __snake_case		:				PNDMScheduler





     def __init__(		self					:	Tuple  ,  lowerCAmelCase__					:	UNetaDModel  ,  lowerCAmelCase__					:	PNDMScheduler)							->	List[str]:

      """simple docstring"""
      super().__init__()

      SCREAMING_SNAKE_CASE				    =		PNDMScheduler.from_config(scheduler.config)

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





     @torch.no_grad()
     def __call__(		self					:	List[Any]  ,  lowerCAmelCase__					:	int = 1  ,  lowerCAmelCase__					:	int = 5_0  ,  lowerCAmelCase__					:	Optional[Union[torch.Generator, List[torch.Generator]]] = None  ,  lowerCAmelCase__					:	Optional[str] = "pil"  ,  lowerCAmelCase__					:	bool = True  ,  **lowerCAmelCase__					:	int  ,  )							->	Union[ImagePipelineOutput, Tuple]:

      """simple docstring"""
      SCREAMING_SNAKE_CASE				    =		randn_tensor(
          (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)  ,  generator=lowerCAmelCase__  ,  device=self.device  ,  )

      self.scheduler.set_timesteps(lowerCAmelCase__)
      for t in self.progress_bar(self.scheduler.timesteps):
       SCREAMING_SNAKE_CASE				    =		self.unet(lowerCAmelCase__  ,  lowerCAmelCase__).sample

       SCREAMING_SNAKE_CASE				    =		self.scheduler.step(lowerCAmelCase__  ,  lowerCAmelCase__  ,  lowerCAmelCase__).prev_sample

      SCREAMING_SNAKE_CASE				    =		(image / 2 + 0.5).clamp(0  ,  1)
      SCREAMING_SNAKE_CASE				    =		image.cpu().permute(0  ,  2  ,  3  ,  1).numpy()
      if output_type == "pil":
       SCREAMING_SNAKE_CASE				    =		self.numpy_to_pil(lowerCAmelCase__)

      if not return_dict:
       return (image,)

      return ImagePipelineOutput(images=lowerCAmelCase__)






'''simple docstring'''





import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

a__		: Tuple  							=							[(1,)]





def 							snake_case				(		)->      Union[str, Any]:







      """simple docstring"""
      __A													=      bool(os.getenv('RUN_SLOW'   ,	0						)						)
      if run_slow:
            assert True
      else:
            assert False, "should have been skipped"





def 							snake_case				(		)->      Tuple:







      """simple docstring"""
      __A													=      bool(os.getenv('RUN_SLOW'   ,	0						)						)
      if run_slow and torch_device == "cuda":
            assert True
      else:
            assert False, "should have been skipped"


@require_torch
class 			UpperCamelCase__	(     unittest.TestCase):






 @slow
 @require_torch_gpu
 def 						lowercase_    (      self	:Dict      )					->      List[Any]:







       '''simple docstring'''



       check_slow_torch_cuda()






 @require_torch_gpu
 @slow
 def 						lowercase_    (      self	:int      )					->      int:







       '''simple docstring'''



       check_slow_torch_cuda()






 @parameterized.expand(_A      )
 @slow
 def 						lowercase_    (      self	:Dict						,					_A	:Union[str, Any]=None      )					->      Dict:







       '''simple docstring'''



       check_slow()





@slow
@require_torch_gpu
def 							snake_case				(		)->      Optional[int]:







      """simple docstring"""
      check_slow_torch_cuda()





@require_torch_gpu
@slow
def 							snake_case				(		)->      List[str]:







      """simple docstring"""
      check_slow_torch_cuda()





@slow
@pytest.mark.parametrize('param'   ,	[1]						)
def 							snake_case				(		UpperCAmelCase						)->      int:







      """simple docstring"""
      check_slow()





@pytest.mark.parametrize('param'   ,	[1]						)
@slow
def 							snake_case				(		UpperCAmelCase						)->      Any:







      """simple docstring"""
      check_slow()






