'''simple docstring'''





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


UpperCAmelCase_			    =							logging.get_logger(__name__)

UpperCAmelCase_			    =							{
    '''SenseTime/deformable-detr''': '''https://huggingface.co/sensetime/deformable-detr/resolve/main/config.json''',
    # See all Deformable DETR models at https://huggingface.co/models?filter=deformable-detr
}




class  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    Optional[Any]  			=   '''deformable_detr'''
   lowerCAmelCase      :    Dict  			=   {
       '''hidden_size''': '''d_model''',
       '''num_attention_heads''': '''encoder_attention_heads''',
   }



   def __init__(	self					:  Dict		,  _lowercase					:  int=True		,  _lowercase					:  Dict=None		,  _lowercase					:  Any=3		,  _lowercase					:  str=300		,  _lowercase					:  Dict=1_024		,  _lowercase					:  Optional[int]=6		,  _lowercase					:  Optional[int]=1_024		,  _lowercase					:  Union[str, Any]=8		,  _lowercase					:  List[str]=6		,  _lowercase					:  Dict=1_024		,  _lowercase					:  Tuple=8		,  _lowercase					:  List[str]=0.0		,  _lowercase					:  str=True		,  _lowercase					:  Optional[Any]="relu"		,  _lowercase					:  Any=256		,  _lowercase					:  Tuple=0.1		,  _lowercase					:  Optional[Any]=0.0		,  _lowercase					:  List[str]=0.0		,  _lowercase					:  Any=0.02		,  _lowercase					:  Optional[int]=1.0		,  _lowercase					:  Any=True		,  _lowercase					:  List[str]=False		,  _lowercase					:  Optional[Any]="sine"		,  _lowercase					:  Union[str, Any]="resnet50"		,  _lowercase					:  Optional[Any]=True		,  _lowercase					:  List[str]=False		,  _lowercase					:  Any=4		,  _lowercase					:  List[Any]=4		,  _lowercase					:  Any=4		,  _lowercase					:  Tuple=False		,  _lowercase					:  List[Any]=300		,  _lowercase					:  Dict=False		,  _lowercase					:  List[Any]=1		,  _lowercase					:  List[Any]=5		,  _lowercase					:  List[Any]=2		,  _lowercase					:  Dict=1		,  _lowercase					:  int=1		,  _lowercase					:  List[str]=5		,  _lowercase					:  int=2		,  _lowercase					:  Optional[Any]=0.1		,  _lowercase					:  Dict=0.25		,  _lowercase					:  Tuple=False		,  **_lowercase					:  str		,  ):



    """simple docstring"""



    if backbone_config is not None and use_timm_backbone:
     raise ValueError('''You can\'t specify both `backbone_config` and `use_timm_backbone`.'''							)

    if not use_timm_backbone:
     if backbone_config is None:
      logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''							)
      _UpperCamelCase:     Union[str, Any]							= CONFIG_MAPPING['''resnet'''](out_features=['''stage4''']							)
     elif isinstance(_lowercase		,  _lowercase							):
      _UpperCamelCase:     List[str]							= backbone_config.get('''model_type'''							)
      _UpperCamelCase:     str							= CONFIG_MAPPING[backbone_model_type]
      _UpperCamelCase:     Any							= config_class.from_dict(_lowercase							)
    _UpperCamelCase:     Dict							= use_timm_backbone
    _UpperCamelCase:     Union[str, Any]							= backbone_config
    _UpperCamelCase:     List[str]							= num_channels
    _UpperCamelCase:     str							= num_queries
    _UpperCamelCase:     int							= max_position_embeddings
    _UpperCamelCase:     Dict							= d_model
    _UpperCamelCase:     Tuple							= encoder_ffn_dim
    _UpperCamelCase:     List[str]							= encoder_layers
    _UpperCamelCase:     Optional[Any]							= encoder_attention_heads
    _UpperCamelCase:     Tuple							= decoder_ffn_dim
    _UpperCamelCase:     List[str]							= decoder_layers
    _UpperCamelCase:     Union[str, Any]							= decoder_attention_heads
    _UpperCamelCase:     Optional[Any]							= dropout
    _UpperCamelCase:     List[Any]							= attention_dropout
    _UpperCamelCase:     Optional[Any]							= activation_dropout
    _UpperCamelCase:     List[str]							= activation_function
    _UpperCamelCase:     List[str]							= init_std
    _UpperCamelCase:     List[Any]							= init_xavier_std
    _UpperCamelCase:     List[Any]							= encoder_layerdrop
    _UpperCamelCase:     int							= auxiliary_loss
    _UpperCamelCase:     int							= position_embedding_type
    _UpperCamelCase:     Optional[Any]							= backbone
    _UpperCamelCase:     List[str]							= use_pretrained_backbone
    _UpperCamelCase:     Optional[Any]							= dilation
    # deformable attributes
    _UpperCamelCase:     Union[str, Any]							= num_feature_levels
    _UpperCamelCase:     Any							= encoder_n_points
    _UpperCamelCase:     List[str]							= decoder_n_points
    _UpperCamelCase:     str							= two_stage
    _UpperCamelCase:     List[str]							= two_stage_num_proposals
    _UpperCamelCase:     List[str]							= with_box_refine
    if two_stage is True and with_box_refine is False:
     raise ValueError('''If two_stage is True, with_box_refine must be True.'''							)
    # Hungarian matcher
    _UpperCamelCase:     List[str]							= class_cost
    _UpperCamelCase:     Tuple							= bbox_cost
    _UpperCamelCase:     Dict							= giou_cost
    # Loss coefficients
    _UpperCamelCase:     Optional[int]							= mask_loss_coefficient
    _UpperCamelCase:     Dict							= dice_loss_coefficient
    _UpperCamelCase:     Optional[int]							= bbox_loss_coefficient
    _UpperCamelCase:     Optional[int]							= giou_loss_coefficient
    _UpperCamelCase:     str							= eos_coefficient
    _UpperCamelCase:     Tuple							= focal_alpha
    _UpperCamelCase:     int							= disable_custom_kernels
    super().__init__(is_encoder_decoder=_lowercase		,  **_lowercase							)



   @property
   def   lowerCAmelCase						(	self					:  Optional[Any]							):



    """simple docstring"""



    return self.encoder_attention_heads



   @property
   def   lowerCAmelCase						(	self					:  Tuple							):



    """simple docstring"""



    return self.d_model



   def   lowerCAmelCase						(	self					:  Dict							):



    """simple docstring"""



    _UpperCamelCase:     int							= copy.deepcopy(self.__dict__							)
    if self.backbone_config is not None:
     _UpperCamelCase:     Optional[Any]							= self.backbone_config.to_dict()
    _UpperCamelCase:     Optional[Any]							= self.__class__.model_type
    return output
# 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 ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool




class  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    Optional[Any]  			=   '''philschmid/bart-large-cnn-samsum'''
   lowerCAmelCase      :    Any  			=   (
       '''This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, '''
       '''and returns a summary of the text.'''
   )
   lowerCAmelCase      :    Any  			=   '''summarizer'''
   lowerCAmelCase      :    Tuple  			=   AutoTokenizer
   lowerCAmelCase      :    Optional[Any]  			=   AutoModelForSeqaSeqLM

   lowerCAmelCase      :    Union[str, Any]  			=   ['''text''']
   lowerCAmelCase      :    Dict  			=   ['''text''']



   def   lowerCAmelCase						(	self					:  str		,  _lowercase					:  Union[str, Any]							):



    """simple docstring"""



    return self.pre_processor(_lowercase		,  return_tensors='''pt'''		,  truncation=_lowercase							)



   def   lowerCAmelCase						(	self					:  List[Any]		,  _lowercase					:  Optional[Any]							):



    """simple docstring"""



    return self.model.generate(**_lowercase							)[0]



   def   lowerCAmelCase						(	self					:  int		,  _lowercase					:  List[str]							):



    """simple docstring"""



    return self.pre_processor.decode(_lowercase		,  skip_special_tokens=_lowercase		,  clean_up_tokenization_spaces=_lowercase							)