






import gc
import unittest

from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
		import jax
		import jax.numpy as jnp
		from flax.jax_utils import replicate
		from flax.training.common_utils import shard



@slow
@require_flax
class 				__UpperCAmelCase		(unittest.TestCase   ):







			def 							UpperCamelCase				(     self:  Tuple					) ->    str:







									'''simple docstring'''




									super().tearDown()
									gc.collect()







			def 							UpperCamelCase				(     self:  str					) ->    int:







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  load_image(
									    """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"""
									    """/sd2-inpaint/init_image.png"""					)
									_SCREAMING_SNAKE_CASE     				=  load_image(
									    """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png"""					)

									_SCREAMING_SNAKE_CASE     				=  """xvjiarui/stable-diffusion-2-inpainting"""
									_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  FlaxStableDiffusionInpaintPipeline.from_pretrained(UpperCAmelCase_				,     safety_checker=UpperCAmelCase_					)

									_SCREAMING_SNAKE_CASE     				=  """Face of a yellow cat, high resolution, sitting on a park bench"""

									_SCREAMING_SNAKE_CASE     				=  jax.random.PRNGKey(0					)
									_SCREAMING_SNAKE_CASE     				=  50

									_SCREAMING_SNAKE_CASE     				=  jax.device_count()
									_SCREAMING_SNAKE_CASE     				=  num_samples * [prompt]
									_SCREAMING_SNAKE_CASE     				=  num_samples * [init_image]
									_SCREAMING_SNAKE_CASE     				=  num_samples * [mask_image]
									_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  pipeline.prepare_inputs(UpperCAmelCase_				,     UpperCAmelCase_				,     UpperCAmelCase_					)

									# shard inputs and rng
									_SCREAMING_SNAKE_CASE     				=  replicate(UpperCAmelCase_					)
									_SCREAMING_SNAKE_CASE     				=  jax.random.split(UpperCAmelCase_				,     jax.device_count()					)
									_SCREAMING_SNAKE_CASE     				=  shard(UpperCAmelCase_					)
									_SCREAMING_SNAKE_CASE     				=  shard(UpperCAmelCase_					)
									_SCREAMING_SNAKE_CASE     				=  shard(UpperCAmelCase_					)

									_SCREAMING_SNAKE_CASE     				=  pipeline(
									    UpperCAmelCase_				,     UpperCAmelCase_				,     UpperCAmelCase_				,     UpperCAmelCase_				,     UpperCAmelCase_				,     UpperCAmelCase_				,     jit=UpperCAmelCase_					)

									_SCREAMING_SNAKE_CASE     				=  output.images.reshape(UpperCAmelCase_				,     512				,     512				,     3					)

									_SCREAMING_SNAKE_CASE     				=  images[0, 253:256, 253:256, -1]

									_SCREAMING_SNAKE_CASE     				=  jnp.asarray(jax.device_get(image_slice.flatten()					)					)
									_SCREAMING_SNAKE_CASE     				=  jnp.array(
									    [0.3_61_13_07, 0.37_64_97_36, 0.3_75_74_08, 0.38_21_39_53, 0.39_29_51_67, 0.3_84_16_31, 0.41_55_49_78, 0.4_13_74_75, 0.4_21_70_84]					)
									print(F'output_slice: {output_slice}'					)
									assert jnp.abs(output_slice - expected_slice					).max() < 1E-2









from typing import TYPE_CHECKING

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


UpperCamelCase			    =     {'''configuration_mmbt''': ['''MMBTConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase			    =     ['''MMBTForClassification''', '''MMBTModel''', '''ModalEmbeddings''']


if TYPE_CHECKING:
		from .configuration_mmbt import MMBTConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
		import sys

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

