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


__A				=logging.get_logger(__name__)

__A				={
    '''studio-ousia/luke-base''': '''https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json''',
    '''studio-ousia/luke-large''': '''https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json''',
}




class     _SCREAMING_SNAKE_CASE     (      snake_case_						):
	lowerCAmelCase__         = 'luke'



	def __init__(    self						,  lowercase=50267						,  lowercase=500000						,  lowercase=768						,  lowercase=256						,  lowercase=12						,  lowercase=12						,  lowercase=3072						,  lowercase="gelu"						,  lowercase=0.1						,  lowercase=0.1						,  lowercase=512						,  lowercase=2						,  lowercase=0.0_2						,  lowercase=1e-12						,  lowercase=True						,  lowercase=None						,  lowercase=1						,  lowercase=0						,  lowercase=2						,  **lowercase						,  )				->       Any:
					super().__init__(pad_token_id=lowercase						,  bos_token_id=lowercase						,  eos_token_id=lowercase						,  **lowercase )

					lowerCamelCase_						=			vocab_size
					lowerCamelCase_						=			entity_vocab_size
					lowerCamelCase_						=			hidden_size
					lowerCamelCase_						=			entity_emb_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_						=			use_entity_aware_attention
					lowerCamelCase_						=			classifier_dropout




"""simple docstring"""





# 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 						SCREAMING_SNAKE_CASE_ (						__a ):




		"""simple docstring"""





		__lowercase							:  Tuple						   =		'''dandelin/vilt-b32-finetuned-vqa'''
		__lowercase							:  str						   =		(
		    '''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.'''
		)
		__lowercase							:  Optional[int]						   =		'''image_qa'''
		__lowercase							:  Union[str, Any]						   =		AutoProcessor
		__lowercase							:  Optional[Any]						   =		AutoModelForVisualQuestionAnswering

		__lowercase							:  List[str]						   =		['''image''', '''text''']
		__lowercase							:  Optional[Any]						   =		['''text''']




		def __init__(     self							,  *lowerCAmelCase__							,  **lowerCAmelCase__):
				requires_backends(self							,  ["""vision"""])
				super().__init__(*lowerCAmelCase__							,  **lowerCAmelCase__)




		def 	snake_case_     (     self							,  lowerCAmelCase__							,  lowerCAmelCase__):
				return self.pre_processor(lowerCAmelCase__							,  lowerCAmelCase__							,  return_tensors="""pt""")




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				with torch.no_grad():
						return self.model(**lowerCAmelCase__).logits




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				__SCREAMING_SNAKE_CASE            = outputs.argmax(-1).item()
				return self.model.config.idalabel[idx]




