class_docstr: ASV Spoofing model
  A simple ASV Spoofing model
class_docstr_tok: ["ASV","Spoofing","model","A","simple","ASV","Spoofing","model"]
code: def __init__(
      self,
      frontend: Optional[AbsFrontend],
      specaug: Optional[AbsSpecAug],
      normalize: Optional[AbsNormalize],
      encoder: AbsEncoder,
      preencoder: Optional[AbsPreEncoder],
      decoder: AbsDecoder,
      losses: Dict[str, AbsASVSpoofLoss],
  ):
      assert check_argument_types()
  
      super().__init__()
  
      self.preencoder = preencoder
      self.encoder = encoder
      self.normalize = normalize
      self.frontend = frontend
      self.specaug = specaug
      self.decoder = decoder
      self.losses = losses
  
imports: import logging
  from contextlib import contextmanager
  from itertools import permutations
  from typing import Dict, Optional, Tuple
  import numpy
  import torch
  import torch.nn.functional
  from packaging.version import parse
  from typeguard import check_argument_types
  from espnet2.asr.encoder.abs_encoder import AbsEncoder
  from espnet2.asr.frontend.abs_frontend import AbsFrontend
  from espnet2.asr.preencoder.abs_preencoder import AbsPreEncoder
  from espnet2.asr.specaug.abs_specaug import AbsSpecAug
  from espnet2.asvspoof.decoder.abs_decoder import AbsDecoder
  from espnet2.asvspoof.loss.abs_loss import AbsASVSpoofLoss
  from espnet2.layers.abs_normalize import AbsNormalize
  from espnet2.torch_utils.device_funcs import force_gatherable
  from espnet2.train.abs_espnet_model import AbsESPnetModel
  from espnet.nets.pytorch_backend.nets_utils import to_device
label_desc: Use image node_id 1 to create a new ESPnetASVSpoofModel object from inherited base classes: AbsESPnetModel with example: obj = ESPnetASVSpoofModel(frontend, specaug, normalize, encoder, preencoder, decoder, losses)