


'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

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


__A :  Optional[Any]    							=				logging.get_logger(__name__)

__A :  List[str]    							=				{
    "andreasmadsen/efficient_mlm_m0.40": (
        "https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"
    ),
}






class        __snake_case	(       _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase       			= 'roberta-prelayernorm'

    def __init__(       self   :  Tuple   ,						lowerCamelCase   :  Any=5_02_65   ,						lowerCamelCase   :  Optional[int]=7_68   ,						lowerCamelCase   :  List[Any]=12   ,						lowerCamelCase   :  int=12   ,						lowerCamelCase   :  Optional[Any]=30_72   ,						lowerCamelCase   :  int="gelu"   ,						lowerCamelCase   :  List[Any]=0.1   ,						lowerCamelCase   :  List[str]=0.1   ,						lowerCamelCase   :  Dict=5_12   ,						lowerCamelCase   :  Tuple=2   ,						lowerCamelCase   :  Optional[int]=0.02   ,						lowerCamelCase   :  Any=1E-12   ,						lowerCamelCase   :  int=1   ,						lowerCamelCase   :  Dict=0   ,						lowerCamelCase   :  Optional[Any]=2   ,						lowerCamelCase   :  List[Any]="absolute"   ,						lowerCamelCase   :  int=True   ,						lowerCamelCase   :  Tuple=None   ,						**lowerCamelCase   :  Optional[int]   ,						)       ->  Dict:
      super().__init__(pad_token_id=lowerCamelCase   ,						bos_token_id=lowerCamelCase   ,						eos_token_id=lowerCamelCase   ,						**lowerCamelCase		)

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







class        __snake_case	(       _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    @property
    def __lowercase       (       self   :  Dict		)       ->  Mapping[str, Mapping[int, str]]:
      if self.task == "multiple-choice":
        lowerCAmelCase_      :				Tuple      =       {0: """batch""", 1: """choice""", 2: """sequence"""}
      else:
        lowerCAmelCase_      :				Optional[Any]      =       {0: """batch""", 1: """sequence"""}
      return OrderedDict(
          [
              ("""input_ids""", dynamic_axis),
              ("""attention_mask""", dynamic_axis),
          ]		)







'''simple docstring'''






from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
  if not (is_transformers_available() and is_torch_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
  from .notes_encoder import SpectrogramNotesEncoder
  from .continous_encoder import SpectrogramContEncoder
  from .pipeline_spectrogram_diffusion import (
      SpectrogramContEncoder,
      SpectrogramDiffusionPipeline,
      TaFilmDecoder,
  )

try:
  if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
  from .midi_utils import MidiProcessor



