"""simple docstring"""






import unittest

import numpy as np

from diffusers import OnnxStableDiffusionInpaintPipelineLegacy
from diffusers.utils.testing_utils import (
    is_onnx_available,
    load_image,
    load_numpy,
    nightly,
    require_onnxruntime,
    require_torch_gpu,
)


if is_onnx_available():
       import onnxruntime as ort





@nightly
@require_onnxruntime
@require_torch_gpu
class 				_A		( unittest.TestCase			):

      @property
      def        A__ (		self		):







            """simple docstring"""



            return (
                "CUDAExecutionProvider",
                {
                    "gpu_mem_limit": "15000000000",  # 15GB
                    "arena_extend_strategy": "kSameAsRequested",
                },
            )

      @property
      def        A__ (		self		):







            """simple docstring"""



            lowercase														=			ort.SessionOptions()
            lowercase														=			False
            return options







      def        A__ (		self		):







            """simple docstring"""



            lowercase														=			load_image(
                """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"""
                """/in_paint/overture-creations-5sI6fQgYIuo.png"""		)
            lowercase														=			load_image(
                """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"""
                """/in_paint/overture-creations-5sI6fQgYIuo_mask.png"""		)
            lowercase														=			load_numpy(
                """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"""
                """/in_paint/red_cat_sitting_on_a_park_bench_onnx.npy"""		)

            # using the PNDM scheduler by default
            lowercase														=			OnnxStableDiffusionInpaintPipelineLegacy.from_pretrained(
                """CompVis/stable-diffusion-v1-4"""	, revision="""onnx"""	, safety_checker=__lowerCAmelCase	, feature_extractor=__lowerCAmelCase	, provider=self.gpu_provider	, sess_options=self.gpu_options	, )
            pipe.set_progress_bar_config(disable=__lowerCAmelCase		)

            lowercase														=			"""A red cat sitting on a park bench"""

            lowercase														=			np.random.RandomState(0		)
            lowercase														=			pipe(
                prompt=__lowerCAmelCase	, image=__lowerCAmelCase	, mask_image=__lowerCAmelCase	, strength=0.7_5	, guidance_scale=7.5	, num_inference_steps=15	, generator=__lowerCAmelCase	, output_type="""np"""	, )

            lowercase														=			output.images[0]

            assert image.shape == (512, 512, 3)
            assert np.abs(expected_image - image		).max() < 1E-2


"""simple docstring"""






import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


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





class 				_A		( lowerCAmelCase			):

      def __init__(		self	, *__lowerCAmelCase	, **__lowerCAmelCase		):







            """simple docstring"""



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



