


"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__				:  str						= logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__				:  List[str]						= {
    "nghuyong/ernie-1.0-base-zh": "https://huggingface.co/nghuyong/ernie-1.0-base-zh/resolve/main/config.json",
    "nghuyong/ernie-2.0-base-en": "https://huggingface.co/nghuyong/ernie-2.0-base-en/resolve/main/config.json",
    "nghuyong/ernie-2.0-large-en": "https://huggingface.co/nghuyong/ernie-2.0-large-en/resolve/main/config.json",
    "nghuyong/ernie-3.0-base-zh": "https://huggingface.co/nghuyong/ernie-3.0-base-zh/resolve/main/config.json",
    "nghuyong/ernie-3.0-medium-zh": "https://huggingface.co/nghuyong/ernie-3.0-medium-zh/resolve/main/config.json",
    "nghuyong/ernie-3.0-mini-zh": "https://huggingface.co/nghuyong/ernie-3.0-mini-zh/resolve/main/config.json",
    "nghuyong/ernie-3.0-micro-zh": "https://huggingface.co/nghuyong/ernie-3.0-micro-zh/resolve/main/config.json",
    "nghuyong/ernie-3.0-nano-zh": "https://huggingface.co/nghuyong/ernie-3.0-nano-zh/resolve/main/config.json",
    "nghuyong/ernie-gram-zh": "https://huggingface.co/nghuyong/ernie-gram-zh/resolve/main/config.json",
    "nghuyong/ernie-health-zh": "https://huggingface.co/nghuyong/ernie-health-zh/resolve/main/config.json",
}


class 	A_       (     _a   ):





  """simple docstring"""

  lowercase		:	List[str]   =						'ernie'
  def __init__(						self  ,					__UpperCAmelCase=3_05_22  ,					__UpperCAmelCase=7_68  ,					__UpperCAmelCase=12  ,					__UpperCAmelCase=12  ,					__UpperCAmelCase=30_72  ,					__UpperCAmelCase="gelu"  ,					__UpperCAmelCase=0.1  ,					__UpperCAmelCase=0.1  ,					__UpperCAmelCase=5_12  ,					__UpperCAmelCase=2  ,					__UpperCAmelCase=3  ,					__UpperCAmelCase=False  ,					__UpperCAmelCase=0.02  ,					__UpperCAmelCase=1E-1_2  ,					__UpperCAmelCase=0  ,					__UpperCAmelCase="absolute"  ,					__UpperCAmelCase=True  ,					__UpperCAmelCase=None  ,					**__UpperCAmelCase  ,					)				->					Tuple:
     super().__init__(pad_token_id=__UpperCAmelCase  ,					**__UpperCAmelCase						)

     a   :	Any						=    vocab_size
     a   :	str						=    hidden_size
     a   :	Optional[int]						=    num_hidden_layers
     a   :	Any						=    num_attention_heads
     a   :	List[str]						=    hidden_act
     a   :	Optional[int]						=    intermediate_size
     a   :	Union[str, Any]						=    hidden_dropout_prob
     a   :	Union[str, Any]						=    attention_probs_dropout_prob
     a   :	Tuple						=    max_position_embeddings
     a   :	Any						=    type_vocab_size
     a   :	List[str]						=    task_type_vocab_size
     a   :	Optional[Any]						=    use_task_id
     a   :	List[Any]						=    initializer_range
     a   :	Optional[Any]						=    layer_norm_eps
     a   :	Optional[int]						=    position_embedding_type
     a   :	str						=    use_cache
     a   :	int						=    classifier_dropout



class 	A_       (     _a   ):





  """simple docstring"""

  @property
  def 							lowercase_     (						self						)				->					Mapping[str, Mapping[int, str]]:
     if self.task == "multiple-choice":
        a   :	str						=    {0: 'batch', 1: 'choice', 2: 'sequence'}
     else:
        a   :	str						=    {0: 'batch', 1: 'sequence'}
     return OrderedDict(
         [
             ('input_ids', dynamic_axis),
             ('attention_mask', dynamic_axis),
             ('token_type_ids', dynamic_axis),
             ('task_type_ids', dynamic_axis),
         ]						)






from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


_SCREAMING_SNAKE_CASE     =     datasets.utils.logging.get_logger(__name__)







class        UpperCAmelCase_					(				folder_based_builder.FolderBasedBuilderConfig     ):
    UpperCAmelCase_      :							bool    			=				None
    UpperCAmelCase_      :							bool    			=				None







class        UpperCAmelCase_					(				folder_based_builder.FolderBasedBuilder     ):
    UpperCAmelCase_      :							Any    			=				datasets.Image()
    UpperCAmelCase_      :							List[Any]    			=				'image'
    UpperCAmelCase_      :							int    			=				ImageFolderConfig
    UpperCAmelCase_      :							List[str]  # definition at the bottom of the script
    UpperCAmelCase_      :							Dict    			=				ImageClassification(image_column='image'  ,  label_column='label'     )

_SCREAMING_SNAKE_CASE     =     [
    """.blp""",
    """.bmp""",
    """.dib""",
    """.bufr""",
    """.cur""",
    """.pcx""",
    """.dcx""",
    """.dds""",
    """.ps""",
    """.eps""",
    """.fit""",
    """.fits""",
    """.fli""",
    """.flc""",
    """.ftc""",
    """.ftu""",
    """.gbr""",
    """.gif""",
    """.grib""",
    """.h5""",
    """.hdf""",
    """.png""",
    """.apng""",
    """.jp2""",
    """.j2k""",
    """.jpc""",
    """.jpf""",
    """.jpx""",
    """.j2c""",
    """.icns""",
    """.ico""",
    """.im""",
    """.iim""",
    """.tif""",
    """.tiff""",
    """.jfif""",
    """.jpe""",
    """.jpg""",
    """.jpeg""",
    """.mpg""",
    """.mpeg""",
    """.msp""",
    """.pcd""",
    """.pxr""",
    """.pbm""",
    """.pgm""",
    """.ppm""",
    """.pnm""",
    """.psd""",
    """.bw""",
    """.rgb""",
    """.rgba""",
    """.sgi""",
    """.ras""",
    """.tga""",
    """.icb""",
    """.vda""",
    """.vst""",
    """.webp""",
    """.wmf""",
    """.emf""",
    """.xbm""",
    """.xpm""",
]
_SCREAMING_SNAKE_CASE     =     IMAGE_EXTENSIONS

