
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional

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


if TYPE_CHECKING:
     from ... import FeatureExtractionMixin, TensorType

lowerCamelCase__     :		str        = logging.get_logger(__name__)

lowerCamelCase__     :		Dict        = {
    """openai/imagegpt-small""": """""",
    """openai/imagegpt-medium""": """""",
    """openai/imagegpt-large""": """""",
}



class    _snake_case (						UpperCAmelCase_				):
 __lowerCAmelCase	:  Tuple	   =      'imagegpt'
 __lowerCAmelCase	:  Tuple	   =      ['past_key_values']
 __lowerCAmelCase	:  str	   =      {
     'hidden_size': 'n_embd',
     'max_position_embeddings': 'n_positions',
     'num_attention_heads': 'n_head',
     'num_hidden_layers': 'n_layer',
 }


 def __init__(       self       ,	SCREAMING_SNAKE_CASE_=5_12 + 1       ,	SCREAMING_SNAKE_CASE_=32 * 32       ,	SCREAMING_SNAKE_CASE_=5_12       ,	SCREAMING_SNAKE_CASE_=24       ,	SCREAMING_SNAKE_CASE_=8       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_="quick_gelu"       ,	SCREAMING_SNAKE_CASE_=0.1       ,	SCREAMING_SNAKE_CASE_=0.1       ,	SCREAMING_SNAKE_CASE_=0.1       ,	SCREAMING_SNAKE_CASE_=1E-5       ,	SCREAMING_SNAKE_CASE_=0.0_2       ,	SCREAMING_SNAKE_CASE_=True       ,	SCREAMING_SNAKE_CASE_=True       ,	SCREAMING_SNAKE_CASE_=False       ,	SCREAMING_SNAKE_CASE_=False       ,	SCREAMING_SNAKE_CASE_=False       ,	**SCREAMING_SNAKE_CASE_       ,	):


   '''simple docstring'''




   lowercase__	: Any     		=   vocab_size
   lowercase__	: Optional[Any]     		=   n_positions
   lowercase__	: List[str]     		=   n_embd
   lowercase__	: Tuple     		=   n_layer
   lowercase__	: Optional[Any]     		=   n_head
   lowercase__	: List[str]     		=   n_inner
   lowercase__	: Union[str, Any]     		=   activation_function
   lowercase__	: Union[str, Any]     		=   resid_pdrop
   lowercase__	: Optional[int]     		=   embd_pdrop
   lowercase__	: int     		=   attn_pdrop
   lowercase__	: str     		=   layer_norm_epsilon
   lowercase__	: Optional[Any]     		=   initializer_range
   lowercase__	: Any     		=   scale_attn_weights
   lowercase__	: str     		=   use_cache
   lowercase__	: str     		=   scale_attn_by_inverse_layer_idx
   lowercase__	: Optional[int]     		=   reorder_and_upcast_attn
   lowercase__	: Union[str, Any]     		=   tie_word_embeddings

   super().__init__(tie_word_embeddings=SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)



class    _snake_case (						UpperCAmelCase_				):


 @property
 def   lowercase__  (       self):


   '''simple docstring'''




   return OrderedDict(
       [
           ("""input_ids""", {0: """batch""", 1: """sequence"""}),
       ])



 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_ = 1       ,	SCREAMING_SNAKE_CASE_ = -1       ,	SCREAMING_SNAKE_CASE_ = False       ,	SCREAMING_SNAKE_CASE_ = None       ,	SCREAMING_SNAKE_CASE_ = 3       ,	SCREAMING_SNAKE_CASE_ = 32       ,	SCREAMING_SNAKE_CASE_ = 32       ,	):


   '''simple docstring'''




   lowercase__	: List[Any]     		=   self._generate_dummy_images(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)
   lowercase__	: Optional[Any]     		=   dict(preprocessor(images=SCREAMING_SNAKE_CASE_       ,	return_tensors=SCREAMING_SNAKE_CASE_))

   return inputs








from typing import List

import datasets
from datasets.tasks import AudioClassification

from ..folder_based_builder import folder_based_builder


lowerCamelCase__     :		Any        = datasets.utils.logging.get_logger(__name__)



class    _snake_case (						folder_based_builder.FolderBasedBuilderConfig				):
 __lowerCAmelCase	:  bool	   =      None
 __lowerCAmelCase	:  bool	   =      None



class    _snake_case (						folder_based_builder.FolderBasedBuilder				):
 __lowerCAmelCase	:  Optional[Any]	   =      datasets.Audio()
 __lowerCAmelCase	:  Union[str, Any]	   =      'audio'
 __lowerCAmelCase	:  str	   =      AudioFolderConfig
 __lowerCAmelCase	:  List[str]  # definition at the bottom of the script
 __lowerCAmelCase	:  Optional[int]	   =      AudioClassification(audio_column='audio'	,    label_column='label'				)

lowerCamelCase__     :		int        = [
    """.aiff""",
    """.au""",
    """.avr""",
    """.caf""",
    """.flac""",
    """.htk""",
    """.svx""",
    """.mat4""",
    """.mat5""",
    """.mpc2k""",
    """.ogg""",
    """.paf""",
    """.pvf""",
    """.raw""",
    """.rf64""",
    """.sd2""",
    """.sds""",
    """.ircam""",
    """.voc""",
    """.w64""",
    """.wav""",
    """.nist""",
    """.wavex""",
    """.wve""",
    """.xi""",
    """.mp3""",
    """.opus""",
]
lowerCamelCase__     :		int        = AUDIO_EXTENSIONS






