



'''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


lowercase_									=    logging.get_logger(__name__)

lowercase_									=    {
    '''facebook/data2vec-vision-base-ft''': (
        '''https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'''
    ),
}






class __A     (    A		):



 '''simple docstring'''







 __lowerCamelCase       :			Optional[Any]		=			'data2vec-vision'



 def __init__(self					,  A=768					,  A=12					,  A=12					,  A=3_072					,  A="gelu"					,  A=0.0					,  A=0.0					,  A=0.02					,  A=1E-12					,  A=224					,  A=16					,  A=3					,  A=False					,  A=False					,  A=False					,  A=False					,  A=0.1					,  A=0.1					,  A=True					,  A=[3, 5, 7, 11]					,  A=[1, 2, 3, 6]					,  A=True					,  A=0.4					,  A=256					,  A=1					,  A=False					,  A=255					,  **A					,  )       ->	Any:


      """simple docstring"""



      super().__init__(**A			)

      _a           =    hidden_size
      _a           =    num_hidden_layers
      _a           =    num_attention_heads
      _a           =    intermediate_size
      _a           =    hidden_act
      _a           =    hidden_dropout_prob
      _a           =    attention_probs_dropout_prob
      _a           =    initializer_range
      _a           =    layer_norm_eps

      _a           =    image_size
      _a           =    patch_size
      _a           =    num_channels
      _a           =    use_mask_token
      _a           =    use_absolute_position_embeddings
      _a           =    use_relative_position_bias
      _a           =    use_shared_relative_position_bias
      _a           =    layer_scale_init_value
      _a           =    drop_path_rate
      _a           =    use_mean_pooling
      # decode head attributes (semantic segmentation)
      _a           =    out_indices
      _a           =    pool_scales
      # auxiliary head attributes (semantic segmentation)
      _a           =    use_auxiliary_head
      _a           =    auxiliary_loss_weight
      _a           =    auxiliary_channels
      _a           =    auxiliary_num_convs
      _a           =    auxiliary_concat_input
      _a           =    semantic_loss_ignore_index






class __A     (    A		):



 '''simple docstring'''







 __lowerCamelCase       :			Union[str, Any]		=			version.parse('1.11'		)



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


      """simple docstring"""



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



 @property
 def    a__    (self			)       ->	float:


      """simple docstring"""



      return 1E-4











import os
import sys
import unittest


__a:     Optional[int]   					=					os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


__a:     Dict   					=					os.path.join('''tests''', '''models''', '''bert''', '''test_modeling_bert.py''')
__a:     Union[str, Any]   					=					os.path.join('''tests''', '''models''', '''blip''', '''test_modeling_blip.py''')
class 		SCREAMING_SNAKE_CASE__	(  unittest.TestCase     ):

  '''simple docstring'''







  def  lowerCamelCase       (      self		:			str							)						->	Dict:


         """simple docstring"""
         _UpperCAmelCase							=    get_test_to_tester_mapping(lowerCamelCase							)
         _UpperCAmelCase							=    get_test_to_tester_mapping(lowerCamelCase							)

         _UpperCAmelCase							=    {"""BertModelTest""": """BertModelTester"""}

         _UpperCAmelCase							=    {
             """BlipModelTest""": """BlipModelTester""",
             """BlipTextImageModelTest""": """BlipTextImageModelsModelTester""",
             """BlipTextModelTest""": """BlipTextModelTester""",
             """BlipTextRetrievalModelTest""": """BlipTextRetrievalModelTester""",
             """BlipVQAModelTest""": """BlipVQAModelTester""",
             """BlipVisionModelTest""": """BlipVisionModelTester""",
         }

         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)
         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)


  def  lowerCamelCase       (      self		:			Optional[int]							)						->	str:


         """simple docstring"""
         _UpperCAmelCase							=    get_model_to_test_mapping(lowerCamelCase							)
         _UpperCAmelCase							=    get_model_to_test_mapping(lowerCamelCase							)

         _UpperCAmelCase							=    {
             """BertForMaskedLM""": ["""BertModelTest"""],
             """BertForMultipleChoice""": ["""BertModelTest"""],
             """BertForNextSentencePrediction""": ["""BertModelTest"""],
             """BertForPreTraining""": ["""BertModelTest"""],
             """BertForQuestionAnswering""": ["""BertModelTest"""],
             """BertForSequenceClassification""": ["""BertModelTest"""],
             """BertForTokenClassification""": ["""BertModelTest"""],
             """BertLMHeadModel""": ["""BertModelTest"""],
             """BertModel""": ["""BertModelTest"""],
         }

         _UpperCAmelCase							=    {
             """BlipForConditionalGeneration""": ["""BlipTextImageModelTest"""],
             """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTest"""],
             """BlipForQuestionAnswering""": ["""BlipVQAModelTest"""],
             """BlipModel""": ["""BlipModelTest"""],
             """BlipTextModel""": ["""BlipTextModelTest"""],
             """BlipVisionModel""": ["""BlipVisionModelTest"""],
         }

         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)
         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)





  def  lowerCamelCase       (      self		:			int							)						->	Any:


         """simple docstring"""
         _UpperCAmelCase							=    get_model_to_tester_mapping(lowerCamelCase							)
         _UpperCAmelCase							=    get_model_to_tester_mapping(lowerCamelCase							)

         _UpperCAmelCase							=    {
             """BertForMaskedLM""": ["""BertModelTester"""],
             """BertForMultipleChoice""": ["""BertModelTester"""],
             """BertForNextSentencePrediction""": ["""BertModelTester"""],
             """BertForPreTraining""": ["""BertModelTester"""],
             """BertForQuestionAnswering""": ["""BertModelTester"""],
             """BertForSequenceClassification""": ["""BertModelTester"""],
             """BertForTokenClassification""": ["""BertModelTester"""],
             """BertLMHeadModel""": ["""BertModelTester"""],
             """BertModel""": ["""BertModelTester"""],
         }

         _UpperCAmelCase							=    {
             """BlipForConditionalGeneration""": ["""BlipTextImageModelsModelTester"""],
             """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTester"""],
             """BlipForQuestionAnswering""": ["""BlipVQAModelTester"""],
             """BlipModel""": ["""BlipModelTester"""],
             """BlipTextModel""": ["""BlipTextModelTester"""],
             """BlipVisionModel""": ["""BlipVisionModelTester"""],
         }

         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)
         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)