






"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a				     =  logging.get_logger(__name__)

_a				     =  {
    '''apple/mobilevit-small''': '''https://huggingface.co/apple/mobilevit-small/resolve/main/config.json''',
    '''apple/mobilevit-x-small''': '''https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json''',
    '''apple/mobilevit-xx-small''': '''https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json''',
    '''apple/deeplabv3-mobilevit-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-x-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-xx-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json'''
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}





class __lowerCamelCase			(				snake_case__):





	"""simple docstring"""






	UpperCamelCase__								=				"mobilevit"

	def __init__(							self	,   UpperCAmelCase=3	,   UpperCAmelCase=256	,   UpperCAmelCase=2	,   UpperCAmelCase=[144, 192, 240]	,   UpperCAmelCase=[16, 32, 64, 96, 128, 160, 640]	,   UpperCAmelCase=4	,   UpperCAmelCase=2.0	,   UpperCAmelCase=4.0	,   UpperCAmelCase="silu"	,   UpperCAmelCase=3	,   UpperCAmelCase=32	,   UpperCAmelCase=0.1	,   UpperCAmelCase=0.0	,   UpperCAmelCase=0.1	,   UpperCAmelCase=0.02	,   UpperCAmelCase=1e-5	,   UpperCAmelCase=True	,   UpperCAmelCase=256	,   UpperCAmelCase=[6, 12, 18]	,   UpperCAmelCase=0.1	,   UpperCAmelCase=255	,   **UpperCAmelCase	,   ):
							"""simple docstring"""







							super().__init__(**UpperCAmelCase   )

							_UpperCAmelCase     =      num_channels
							_UpperCAmelCase     =      image_size
							_UpperCAmelCase     =      patch_size
							_UpperCAmelCase     =      hidden_sizes
							_UpperCAmelCase     =      neck_hidden_sizes
							_UpperCAmelCase     =      num_attention_heads
							_UpperCAmelCase     =      mlp_ratio
							_UpperCAmelCase     =      expand_ratio
							_UpperCAmelCase     =      hidden_act
							_UpperCAmelCase     =      conv_kernel_size
							_UpperCAmelCase     =      output_stride
							_UpperCAmelCase     =      hidden_dropout_prob
							_UpperCAmelCase     =      attention_probs_dropout_prob
							_UpperCAmelCase     =      classifier_dropout_prob
							_UpperCAmelCase     =      initializer_range
							_UpperCAmelCase     =      layer_norm_eps
							_UpperCAmelCase     =      qkv_bias

							# decode head attributes for semantic segmentation
							_UpperCAmelCase     =      aspp_out_channels
							_UpperCAmelCase     =      atrous_rates
							_UpperCAmelCase     =      aspp_dropout_prob
							_UpperCAmelCase     =      semantic_loss_ignore_index





class __lowerCamelCase			(				snake_case__):





	"""simple docstring"""






	UpperCamelCase__								=				version.parse("1.11")

	@property
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})]   )

	@property
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							if self.task == "image-classification":
													return OrderedDict([('logits', {0: 'batch'})]   )
							else:
													return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]   )

	@property
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							return 1e-4








import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference





@slow
@require_torch_gpu
class __lowerCamelCase			(				unittest.TestCase):





	"""simple docstring"""






	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							_UpperCAmelCase     =      'runwayml/stable-diffusion-v1-5'
							_UpperCAmelCase     =      TextToVideoZeroPipeline.from_pretrained(UpperCAmelCase	,   torch_dtype=torch.floataa   ).to('cuda'   )
							_UpperCAmelCase     =      DDIMScheduler.from_config(pipe.scheduler.config   )
							_UpperCAmelCase     =      torch.Generator(device='cuda'   ).manual_seed(0   )

							_UpperCAmelCase     =      'A bear is playing a guitar on Times Square'
							_UpperCAmelCase     =      pipe(prompt=UpperCAmelCase	,   generator=UpperCAmelCase   ).images

							_UpperCAmelCase     =      load_pt(
							    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt'   )

							assert_mean_pixel_difference(UpperCAmelCase	,   UpperCAmelCase   )
