


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     lowerCamelCase_   ( folder_based_builder.FolderBasedBuilderConfig):
 _lowerCAmelCase       		=  None
 _lowerCAmelCase       		=  None



class     lowerCamelCase_   ( folder_based_builder.FolderBasedBuilder):
 _lowerCAmelCase       		=  datasets.Image()
 _lowerCAmelCase       		=  '''image'''
 _lowerCAmelCase       		=  ImageFolderConfig
 _lowerCAmelCase       		=  42  # definition at the bottom of the script
 _lowerCAmelCase       		=  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








from typing import Mapping

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


_SCREAMING_SNAKE_CASE          = logging.get_logger(__name__)


class     lowerCamelCase_   ( _lowerCAmelCase):
 _lowerCAmelCase       		=  '''mt5'''
 _lowerCAmelCase       		=  ['''past_key_values''']




 def __init__( self     ,     _UpperCAmelCase=250_112     ,     _UpperCAmelCase=512     ,     _UpperCAmelCase=64     ,     _UpperCAmelCase=1_024     ,     _UpperCAmelCase=8     ,     _UpperCAmelCase=None     ,     _UpperCAmelCase=6     ,     _UpperCAmelCase=32     ,     _UpperCAmelCase=128     ,     _UpperCAmelCase=0.1     ,     _UpperCAmelCase=1E-6     ,     _UpperCAmelCase=1.0     ,     _UpperCAmelCase="gated-gelu"     ,     _UpperCAmelCase=True     ,     _UpperCAmelCase=True     ,     _UpperCAmelCase="T5Tokenizer"     ,     _UpperCAmelCase=False     ,     _UpperCAmelCase=0     ,     _UpperCAmelCase=1     ,     _UpperCAmelCase=0     ,     **_UpperCAmelCase     ,     ):
   super().__init__(
       is_encoder_decoder=_UpperCAmelCase     ,     tokenizer_class=_UpperCAmelCase     ,     tie_word_embeddings=_UpperCAmelCase     ,     pad_token_id=_UpperCAmelCase     ,     eos_token_id=_UpperCAmelCase     ,     decoder_start_token_id=_UpperCAmelCase     ,     **_UpperCAmelCase     ,     )
   __UpperCAmelCase  :     Dict		=    vocab_size
   __UpperCAmelCase  :     List[str]		=    d_model
   __UpperCAmelCase  :     str		=    d_kv
   __UpperCAmelCase  :     List[str]		=    d_ff
   __UpperCAmelCase  :     int		=    num_layers
   __UpperCAmelCase  :     List[Any]		=    (
       num_decoder_layers if num_decoder_layers is not None else self.num_layers
   )  # default = symmetry
   __UpperCAmelCase  :     List[Any]		=    num_heads
   __UpperCAmelCase  :     Tuple		=    relative_attention_num_buckets
   __UpperCAmelCase  :     Optional[int]		=    relative_attention_max_distance
   __UpperCAmelCase  :     Dict		=    dropout_rate
   __UpperCAmelCase  :     Union[str, Any]		=    layer_norm_epsilon
   __UpperCAmelCase  :     Tuple		=    initializer_factor
   __UpperCAmelCase  :     Union[str, Any]		=    feed_forward_proj
   __UpperCAmelCase  :     Optional[Any]		=    use_cache

   __UpperCAmelCase  :     Any		=    self.feed_forward_proj.split('-'       )
   __UpperCAmelCase  :     Dict		=    act_info[-1]
   __UpperCAmelCase  :     Any		=    act_info[0] == 'gated'

   if len(_UpperCAmelCase       ) > 1 and act_info[0] != "gated" or len(_UpperCAmelCase       ) > 2:
     raise ValueError(
         F"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."
         'Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '
         '\'gated-gelu\' or \'relu\''       )

   # for backwards compatibility
   if feed_forward_proj == "gated-gelu":
     __UpperCAmelCase  :     List[str]		=    'gelu_new'




 @property
 def 						a					( self       ):
   return self.d_model




 @property
 def 						a					( self       ):
   return self.num_heads




 @property
 def 						a					( self       ):
   return self.num_layers



class     lowerCamelCase_   ( _lowerCAmelCase):




 @property
 # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.inputs
 def 						a					( self       ):
   __UpperCAmelCase  :     Optional[int]		=    {
       'input_ids': {0: 'batch', 1: 'encoder_sequence'},
       'attention_mask': {0: 'batch', 1: 'encoder_sequence'},
   }
   if self.use_past:
     __UpperCAmelCase  :     Optional[Any]		=    'past_encoder_sequence + sequence'
     __UpperCAmelCase  :     Tuple		=    {0: 'batch'}
     __UpperCAmelCase  :     List[Any]		=    {0: 'batch', 1: 'past_decoder_sequence + sequence'}
   else:
     __UpperCAmelCase  :     Tuple		=    {0: 'batch', 1: 'decoder_sequence'}
     __UpperCAmelCase  :     int		=    {0: 'batch', 1: 'decoder_sequence'}

   if self.use_past:
     self.fill_with_past_key_values_(_UpperCAmelCase     ,     direction='inputs'       )

   return common_inputs




 @property
 # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.default_onnx_opset
 def 						a					( self       ):
   return 13




 @property
 def 						a					( self       ):
   return 5E-4





