




'''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


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

_snake_case      :      List[str]   							=		{
    '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 			A    (		_a    ):
							lowercase_							=				'mobilevit'







							def __init__(  self       :  Tuple							,			lowerCAmelCase_       :  str=3							,			lowerCAmelCase_       :  List[str]=2_56							,			lowerCAmelCase_       :  List[str]=2							,			lowerCAmelCase_       :  Optional[int]=[1_44, 1_92, 2_40]							,			lowerCAmelCase_       :  Any=[16, 32, 64, 96, 1_28, 1_60, 6_40]							,			lowerCAmelCase_       :  int=4							,			lowerCAmelCase_       :  List[str]=2.0							,			lowerCAmelCase_       :  Optional[int]=4.0							,			lowerCAmelCase_       :  Any="silu"							,			lowerCAmelCase_       :  int=3							,			lowerCAmelCase_       :  Tuple=32							,			lowerCAmelCase_       :  Optional[int]=0.1							,			lowerCAmelCase_       :  int=0.0							,			lowerCAmelCase_       :  int=0.1							,			lowerCAmelCase_       :  int=0.0_2							,			lowerCAmelCase_       :  str=1e-5							,			lowerCAmelCase_       :  Dict=True							,			lowerCAmelCase_       :  List[str]=2_56							,			lowerCAmelCase_       :  Tuple=[6, 12, 18]							,			lowerCAmelCase_       :  List[Any]=0.1							,			lowerCAmelCase_       :  int=2_55							,			**lowerCAmelCase_       :  List[str]							,			)			->							Dict:


														"""simple docstring"""


														super().__init__(**lowerCAmelCase_					)

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

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



class 			A    (		_a    ):
							lowercase_							=				version.parse('1.11'    )







							@property
							def    __lowerCAmelCase			(  self       :  str					)			->							Mapping[str, Mapping[int, str]]:


														"""simple docstring"""


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







							@property
							def    __lowerCAmelCase			(  self       :  Any					)			->							Mapping[str, Mapping[int, str]]:


														"""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    __lowerCAmelCase			(  self       :  Optional[Any]					)			->							float:


														"""simple docstring"""


														return 1e-4







'''simple docstring'''


import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
				from PIL import Image

class 			A    (		unittest.TestCase     ,_a    ):







							def    __lowerCAmelCase			(  self       :  Optional[int]					)			->							Optional[int]:


														"""simple docstring"""


														_a	     =				load_tool('''image-question-answering'''					)
														self.tool.setup()
														_a	     =				load_tool('''image-question-answering'''							,			remote=lowerCAmelCase_					)







							def    __lowerCAmelCase			(  self       :  Tuple					)			->							Optional[int]:


														"""simple docstring"""


														_a	     =				Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
														_a	     =				self.tool(lowerCAmelCase_							,			'''How many cats are sleeping on the couch?'''					)
														self.assertEqual(lowerCAmelCase_							,			'''2'''					)







							def    __lowerCAmelCase			(  self       :  List[str]					)			->							Union[str, Any]:


														"""simple docstring"""


														_a	     =				Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
														_a	     =				self.remote_tool(lowerCAmelCase_							,			'''How many cats are sleeping on the couch?'''					)
														self.assertEqual(lowerCAmelCase_							,			'''2'''					)







							def    __lowerCAmelCase			(  self       :  Dict					)			->							Tuple:


														"""simple docstring"""


														_a	     =				Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
														_a	     =				self.tool(image=lowerCAmelCase_							,			question='''How many cats are sleeping on the couch?'''					)
														self.assertEqual(lowerCAmelCase_							,			'''2'''					)







							def    __lowerCAmelCase			(  self       :  Tuple					)			->							Dict:


														"""simple docstring"""


														_a	     =				Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
														_a	     =				self.remote_tool(image=lowerCAmelCase_							,			question='''How many cats are sleeping on the couch?'''					)
														self.assertEqual(lowerCAmelCase_							,			'''2'''					)

