





"""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 		SCREAMING_SNAKE_CASE_				(     unittest.TestCase ):
				"""simple docstring"""




				@property
				def        __lowercase	(  self	:Union[str, Any]      ):
											return (
											    "CUDAExecutionProvider",
											    {
											        "gpu_mem_limit": "15000000000",  # 15GB
											        "arena_extend_strategy": "kSameAsRequested",
											    },
											)




				@property
				def        __lowercase	(  self	:List[str]      ):
											__lowerCamelCase   :   Optional[int]       =ort.SessionOptions()
											__lowerCamelCase   :   Tuple       =False
											return options




				def        __lowercase	(  self	:Optional[int]      ):
											__lowerCamelCase   :   List[Any]       =load_image(
											    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'''
											    '''/in_paint/overture-creations-5sI6fQgYIuo.png'''      )
											__lowerCamelCase   :   Any       =load_image(
											    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'''
											    '''/in_paint/overture-creations-5sI6fQgYIuo_mask.png'''      )
											__lowerCamelCase   :   Any       =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
											__lowerCamelCase   :   Union[str, Any]       =OnnxStableDiffusionInpaintPipelineLegacy.from_pretrained(
											    '''CompVis/stable-diffusion-v1-4'''    ,     revision='''onnx'''    ,     safety_checker=__lowercase    ,     feature_extractor=__lowercase    ,     provider=self.gpu_provider    ,     sess_options=self.gpu_options    ,     )
											pipe.set_progress_bar_config(disable=__lowercase      )

											__lowerCamelCase   :   Dict       ='''A red cat sitting on a park bench'''

											__lowerCamelCase   :   int       =np.random.RandomState(0      )
											__lowerCamelCase   :   Optional[int]       =pipe(
											    prompt=__lowercase    ,     image=__lowercase    ,     mask_image=__lowercase    ,     strength=0.75    ,     guidance_scale=7.5    ,     num_inference_steps=15    ,     generator=__lowercase    ,     output_type='''np'''    ,     )

											__lowerCamelCase   :   Union[str, Any]       =output.images[0]

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











"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_UpperCamelCase					      =   {
    'configuration_pix2struct': [
        'PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Pix2StructConfig',
        'Pix2StructTextConfig',
        'Pix2StructVisionConfig',
    ],
    'processing_pix2struct': ['Pix2StructProcessor'],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_UpperCamelCase					      =   ['Pix2StructImageProcessor']


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_UpperCamelCase					      =   [
							    'PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'Pix2StructPreTrainedModel',
							    'Pix2StructForConditionalGeneration',
							    'Pix2StructVisionModel',
							    'Pix2StructTextModel',
							]

if TYPE_CHECKING:
							from .configuration_pixastruct import (
							    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    PixaStructConfig,
							    PixaStructTextConfig,
							    PixaStructVisionConfig,
							)
							from .processing_pixastruct import PixaStructProcessor

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_pixastruct import PixaStructImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_pixastruct import (
														    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PixaStructForConditionalGeneration,
														    PixaStructPreTrainedModel,
														    PixaStructTextModel,
														    PixaStructVisionModel,
														)

else:
							import sys

							_UpperCamelCase					      =   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




