code: def domain_map(  # type: ignore
      cls,
      gamma: torch.Tensor,
      slopes: torch.Tensor,
      knot_spacings: torch.Tensor,
  ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]:
      slopes_nn = torch.abs(slopes)
  
      knot_spacings_proj = F.softmax(knot_spacings, dim=-1)
  
      return gamma.squeeze(dim=-1), slopes_nn, knot_spacings_proj
  
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 2 for calling the PiecewiseLinearOutput obj's underlying member method code with example usage: obj.domain_map(cls, gamma, slopes, knot_spacings) and returns: gamma,  slopes_nn,  knot_spacings_proj