
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


lowerCamelCase__    :		Any          =   logging.get_logger(__name__)

lowerCamelCase__    :		Union[str, Any]          =   {
    """microsoft/beit-base-patch16-224-pt22k""": (
        """https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"""
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}



class       _snake_case   (	UpperCAmelCase_							):
 __lowerCAmelCase  :     Optional[int]        =			'beit'


 def __init__(					self					,  SCREAMING_SNAKE_CASE_=81_92					,  SCREAMING_SNAKE_CASE_=7_68					,  SCREAMING_SNAKE_CASE_=12					,  SCREAMING_SNAKE_CASE_=12					,  SCREAMING_SNAKE_CASE_=30_72					,  SCREAMING_SNAKE_CASE_="gelu"					,  SCREAMING_SNAKE_CASE_=0.0					,  SCREAMING_SNAKE_CASE_=0.0					,  SCREAMING_SNAKE_CASE_=0.0_2					,  SCREAMING_SNAKE_CASE_=1E-12					,  SCREAMING_SNAKE_CASE_=2_24					,  SCREAMING_SNAKE_CASE_=16					,  SCREAMING_SNAKE_CASE_=3					,  SCREAMING_SNAKE_CASE_=False					,  SCREAMING_SNAKE_CASE_=False					,  SCREAMING_SNAKE_CASE_=False					,  SCREAMING_SNAKE_CASE_=False					,  SCREAMING_SNAKE_CASE_=0.1					,  SCREAMING_SNAKE_CASE_=0.1					,  SCREAMING_SNAKE_CASE_=True					,  SCREAMING_SNAKE_CASE_=[3, 5, 7, 11]					,  SCREAMING_SNAKE_CASE_=[1, 2, 3, 6]					,  SCREAMING_SNAKE_CASE_=True					,  SCREAMING_SNAKE_CASE_=0.4					,  SCREAMING_SNAKE_CASE_=2_56					,  SCREAMING_SNAKE_CASE_=1					,  SCREAMING_SNAKE_CASE_=False					,  SCREAMING_SNAKE_CASE_=2_55					,  **SCREAMING_SNAKE_CASE_					,  ):


   '''simple docstring'''




   super().__init__(**SCREAMING_SNAKE_CASE_)

   lowercase__  :   int    		=      vocab_size
   lowercase__  :   List[str]    		=      hidden_size
   lowercase__  :   Optional[int]    		=      num_hidden_layers
   lowercase__  :   List[Any]    		=      num_attention_heads
   lowercase__  :   List[Any]    		=      intermediate_size
   lowercase__  :   Union[str, Any]    		=      hidden_act
   lowercase__  :   Tuple    		=      hidden_dropout_prob
   lowercase__  :   Any    		=      attention_probs_dropout_prob
   lowercase__  :   List[str]    		=      initializer_range
   lowercase__  :   List[str]    		=      layer_norm_eps

   lowercase__  :   Dict    		=      image_size
   lowercase__  :   Any    		=      patch_size
   lowercase__  :   Optional[Any]    		=      num_channels
   lowercase__  :   List[str]    		=      use_mask_token
   lowercase__  :   str    		=      use_absolute_position_embeddings
   lowercase__  :   List[Any]    		=      use_relative_position_bias
   lowercase__  :   str    		=      use_shared_relative_position_bias
   lowercase__  :   int    		=      layer_scale_init_value
   lowercase__  :   Tuple    		=      drop_path_rate
   lowercase__  :   Any    		=      use_mean_pooling
   # decode head attributes (semantic segmentation)
   lowercase__  :   List[str]    		=      out_indices
   lowercase__  :   Union[str, Any]    		=      pool_scales
   # auxiliary head attributes (semantic segmentation)
   lowercase__  :   int    		=      use_auxiliary_head
   lowercase__  :   Optional[Any]    		=      auxiliary_loss_weight
   lowercase__  :   Dict    		=      auxiliary_channels
   lowercase__  :   Tuple    		=      auxiliary_num_convs
   lowercase__  :   List[str]    		=      auxiliary_concat_input
   lowercase__  :   int    		=      semantic_loss_ignore_index



class       _snake_case   (	UpperCAmelCase_							):
 __lowerCAmelCase  :     Tuple        =			version.parse('1.11'							)


 @property
 def      lowercase__     (					self):


   '''simple docstring'''




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



 @property
 def      lowercase__     (					self):


   '''simple docstring'''




   return 1E-4








# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

import torch

from ..models.auto import AutoModelForVisualQuestionAnswering, AutoProcessor
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
     from PIL import Image



class       _snake_case   (	UpperCAmelCase_							):
 __lowerCAmelCase  :     Any        =			'dandelin/vilt-b32-finetuned-vqa'
 __lowerCAmelCase  :     Union[str, Any]        =			(
     'This is a tool that answers a question about an image. It takes an input named `image` which should be the '
     'image containing the information, as well as a `question` which should be the question in English. It '
     'returns a text that is the answer to the question.'
 )
 __lowerCAmelCase  :     str        =			'image_qa'
 __lowerCAmelCase  :     int        =			AutoProcessor
 __lowerCAmelCase  :     Optional[Any]        =			AutoModelForVisualQuestionAnswering

 __lowerCAmelCase  :     str        =			['image', 'text']
 __lowerCAmelCase  :     Optional[int]        =			['text']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""vision"""])
   super().__init__(*SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_)


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   return self.pre_processor(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_					,  return_tensors="""pt""")


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   with torch.no_grad():
     return self.model(**SCREAMING_SNAKE_CASE_).logits



 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   lowercase__  :   Dict    		=      outputs.argmax(-1).item()
   return self.model.config.idalabel[idx]






