code: def forward(
      self, y_pred: torch.Tensor, y_true: torch.Tensor
  ) -> torch.Tensor:
      return log_cosh_loss(y_pred, y_true)
  
imports: import torch
  from pytorch_toolbelt.losses.functional import log_cosh_loss
  from torch import nn
label_desc: Use image node_id 2 for calling the LogCoshLoss obj's underlying member method code with example usage: obj.forward(y_pred, y_true) and returns: log_cosh_loss