docstr: Output types definitions for Contrastive.
  loss:
      NeuralType(None)
docstr_tok: ["Output","types","definitions","for","Contrastive",".","loss",":","NeuralType","(","None",")"]
code: def output_types(self):
      """Output types definitions for Contrastive.
      loss:
          NeuralType(None)
      """
      return {"loss": NeuralType(elements_type=LossType())}
  
file_path: NeMo/nemo/collections/asr/losses/ssl_losses/contrastive.py
imports: import torch
  import torch.nn.functional
  from torch import nn
  from nemo.core import Loss, typecheck
  from nemo.core.neural_types import AcousticEncodedRepresentation, LengthsType, LossType, NeuralType, SpectrogramType
label_desc: Use image node_id 2 for calling the ContrastiveLoss obj's underlying member method code with example usage: obj.output_types() and returns: dict