code: def loss(self, z: torch.Tensor) -> torch.Tensor:
      return self.crps(z)
  
imports: from typing import Dict, List, Optional, Tuple, cast
  import torch
  import torch.nn.functional
  from torch.distributions import AffineTransform, TransformedDistribution
  from gluonts.core.component import validated
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 8 for calling the PiecewiseLinear obj's underlying member method code with example usage: obj.loss(z) and returns: self