



'''simple docstring'''



import gc
import tempfile
import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionTextToImagePipeline
from diffusers.utils.testing_utils import nightly, require_torch_gpu, torch_device


lowerCAmelCase	:		Optional[Any]				=   False






class 					UpperCAmelCase__	(		unittest.TestCase ):
					pass






@nightly
@require_torch_gpu
class 					UpperCAmelCase__	(		unittest.TestCase ):



					def        UpperCAmelCase_ (    self     )     ->			Union[str, Any]:
						# clean up the VRAM after each test
						super().tearDown()
						gc.collect()
						torch.cuda.empty_cache()



					def        UpperCAmelCase_ (    self     )     ->			List[Any]:
						__lowerCAmelCase												=  VersatileDiffusionTextToImagePipeline.from_pretrained("shi-labs/versatile-diffusion"     )
						# remove text_unet
						pipe.remove_unused_weights()
						pipe.to(UpperCamelCase     )
						pipe.set_progress_bar_config(disable=UpperCamelCase     )

						__lowerCAmelCase												=  "A painting of a squirrel eating a burger "
						__lowerCAmelCase												=  torch.manual_seed(0     )
						__lowerCAmelCase												=  pipe(
						    prompt=UpperCamelCase			,				generator=UpperCamelCase			,				guidance_scale=7.5			,				num_inference_steps=2			,				output_type="numpy"     ).images

						with tempfile.TemporaryDirectory() as tmpdirname:
							pipe.save_pretrained(UpperCamelCase     )
							__lowerCAmelCase												=  VersatileDiffusionTextToImagePipeline.from_pretrained(UpperCamelCase     )
						pipe.to(UpperCamelCase     )
						pipe.set_progress_bar_config(disable=UpperCamelCase     )

						__lowerCAmelCase												=  generator.manual_seed(0     )
						__lowerCAmelCase												=  pipe(
						    prompt=UpperCamelCase			,				generator=UpperCamelCase			,				guidance_scale=7.5			,				num_inference_steps=2			,				output_type="numpy"     ).images

						assert np.abs(image - new_image     ).sum() < 1E-5, "Models don't have the same forward pass"



					def        UpperCAmelCase_ (    self     )     ->			Dict:
						__lowerCAmelCase												=  VersatileDiffusionTextToImagePipeline.from_pretrained(
						    "shi-labs/versatile-diffusion"			,				torch_dtype=torch.floataa     )
						pipe.to(UpperCamelCase     )
						pipe.set_progress_bar_config(disable=UpperCamelCase     )

						__lowerCAmelCase												=  "A painting of a squirrel eating a burger "
						__lowerCAmelCase												=  torch.manual_seed(0     )
						__lowerCAmelCase												=  pipe(
						    prompt=UpperCamelCase			,				generator=UpperCamelCase			,				guidance_scale=7.5			,				num_inference_steps=50			,				output_type="numpy"     ).images

						__lowerCAmelCase												=  image[0, 253:256, 253:256, -1]

						assert image.shape == (1, 512, 512, 3)
						__lowerCAmelCase												=  np.array([0.33_67, 0.31_69, 0.26_56, 0.38_70, 0.47_90, 0.37_96, 0.40_09, 0.48_78, 0.47_78]     )

						assert np.abs(image_slice.flatten() - expected_slice     ).max() < 1E-2




'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase	:		Optional[Any]				=   logging.get_logger(__name__)

lowerCAmelCase	:		Optional[int]				=   {
    '''facebook/dpr-ctx_encoder-single-nq-base''': (
        '''https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-question_encoder-single-nq-base''': (
        '''https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-reader-single-nq-base''': (
        '''https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-ctx_encoder-multiset-base''': (
        '''https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-question_encoder-multiset-base''': (
        '''https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-reader-multiset-base''': (
        '''https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json'''
    ),
}






class 					UpperCAmelCase__	(		UpperCamelCase__ ):
					a      :     Optional[Any]        =							"""dpr"""



					def __init__(    self			,				UpperCamelCase=3_0522			,				UpperCamelCase=768			,				UpperCamelCase=12			,				UpperCamelCase=12			,				UpperCamelCase=3072			,				UpperCamelCase="gelu"			,				UpperCamelCase=0.1			,				UpperCamelCase=0.1			,				UpperCamelCase=512			,				UpperCamelCase=2			,				UpperCamelCase=0.02			,				UpperCamelCase=1E-12			,				UpperCamelCase=0			,				UpperCamelCase="absolute"			,				UpperCamelCase = 0			,				**UpperCamelCase			,				)     ->			Tuple:
						super().__init__(pad_token_id=UpperCamelCase			,				**UpperCamelCase     )

						__lowerCAmelCase												=  vocab_size
						__lowerCAmelCase												=  hidden_size
						__lowerCAmelCase												=  num_hidden_layers
						__lowerCAmelCase												=  num_attention_heads
						__lowerCAmelCase												=  hidden_act
						__lowerCAmelCase												=  intermediate_size
						__lowerCAmelCase												=  hidden_dropout_prob
						__lowerCAmelCase												=  attention_probs_dropout_prob
						__lowerCAmelCase												=  max_position_embeddings
						__lowerCAmelCase												=  type_vocab_size
						__lowerCAmelCase												=  initializer_range
						__lowerCAmelCase												=  layer_norm_eps
						__lowerCAmelCase												=  projection_dim
						__lowerCAmelCase												=  position_embedding_type