




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


UpperCAmelCase__    :							int       		=     logging.get_logger(__name__)

UpperCAmelCase__    :							List[str]       		=     {
    'MBZUAI/swiftformer-xs': 'https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json',
}

class   UpperCAmelCase    (      A ):
   __SCREAMING_SNAKE_CASE		:				str      					=       "swiftformer"






   def __init__(						self :							List[Any]    ,       UpperCamelCase_ :							Dict=3    ,       UpperCamelCase_ :							List[Any]=[3, 3, 6, 4]    ,       UpperCamelCase_ :							Tuple=[48, 56, 1_12, 2_20]    ,       UpperCamelCase_ :							Tuple=4    ,       UpperCamelCase_ :							Optional[Any]=[True, True, True, True]    ,       UpperCamelCase_ :							int="gelu"    ,       UpperCamelCase_ :							Union[str, Any]=3    ,       UpperCamelCase_ :							Tuple=2    ,       UpperCamelCase_ :							List[Any]=1    ,       UpperCamelCase_ :							Union[str, Any]=0.0    ,       UpperCamelCase_ :							Any=True    ,       UpperCamelCase_ :							Optional[int]=1E-5    ,       UpperCamelCase_ :							Tuple=1E-5    ,       **UpperCamelCase_ :							List[str]    ,       )->      List[Any]:
     super().__init__(**UpperCamelCase_  )
     _lowercase:			Optional[int]      =     num_channels
     _lowercase:			List[str]      =     depths
     _lowercase:			Any      =     embed_dims
     _lowercase:			Any      =     mlp_ratio
     _lowercase:			Optional[int]      =     downsamples
     _lowercase:			Dict      =     hidden_act
     _lowercase:			List[Any]      =     down_patch_size
     _lowercase:			List[Any]      =     down_stride
     _lowercase:			Union[str, Any]      =     down_pad
     _lowercase:			Union[str, Any]      =     drop_path_rate
     _lowercase:			int      =     use_layer_scale
     _lowercase:			List[Any]      =     layer_scale_init_value
     _lowercase:			Union[str, Any]      =     batch_norm_eps

class   UpperCAmelCase    (      A ):
   __SCREAMING_SNAKE_CASE		:				Optional[Any]      					=       version.parse("1.11" )






   @property
   def 			_a    (						self :							List[Any]  )->      Mapping[str, Mapping[int, str]]:
     return OrderedDict(
         [
             ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
         ]  )






   @property
   def 			_a    (						self :							List[str]  )->      float:
     return 1E-4






from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


UpperCAmelCase__    :							Tuple       		=     [
    'AutomaticSpeechRecognition',
    'AudioClassification',
    'ImageClassification',
    'LanguageModeling',
    'QuestionAnsweringExtractive',
    'Summarization',
    'TaskTemplate',
    'TextClassification',
]

UpperCAmelCase__    :							Tuple       		=     get_logger(__name__)


UpperCAmelCase__    :							List[Any]       		=     {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}


def 		_lowerCamelCase					(       UpperCamelCase				)      ->		Optional[TaskTemplate]:





  """simple docstring"""





  _lowercase:			Union[str, Any]      =     task_template_dict.get('task'				)
  if task_name is None:
    logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(UpperCamelCase				)}'				)
    return None
  _lowercase:			int      =     NAMEaTEMPLATE.get(UpperCamelCase				)
  return template.from_dict(UpperCamelCase				)
