code: def quantile_loss(quantile_forecast, target, tau):
      return torch.abs(
          (quantile_forecast - target)
          * ((target <= quantile_forecast).float() - tau)
      )
  
file_path: gluonts/src/gluonts/nursery/robust-mts-attack/pts/distributions/implicit_quantile.py
imports: import torch
  from torch.distributions import Distribution, TransformedDistribution, AffineTransform
label_desc: Use image node_id 4 for calling the ImplicitQuantile obj's underlying member method code with example usage: obj.quantile_loss(quantile_forecast, target, tau) and returns: torch