code: def domain_map(  # type: ignore
      cls,
      logits: torch.Tensor,
      upper_gp_xi: torch.Tensor,
      upper_gp_beta: torch.Tensor,
      lower_gp_xi: torch.Tensor,
      lower_gp_beta: torch.Tensor,
  ) -> Tuple[
      torch.Tensor,
      torch.Tensor,
      torch.Tensor,
      torch.Tensor,
      torch.Tensor,
  ]:
      logits = torch.abs(logits)
  
      upper_gp_xi = torch.abs(upper_gp_xi)
      upper_gp_beta = torch.abs(upper_gp_beta)
      lower_gp_xi = torch.abs(lower_gp_xi)
      lower_gp_beta = torch.abs(lower_gp_beta)
  
      return (
          logits,
          upper_gp_xi,
          upper_gp_beta,
          lower_gp_xi,
          lower_gp_beta,
      )
  
file_path: gluonts/src/gluonts/torch/distributions/spliced_binned_pareto.py
imports: from typing import Dict, Optional, Tuple, cast
  import torch
  from torch.distributions import constraints
  from gluonts.core.component import validated
  from gluonts.torch.distributions import BinnedUniforms, GeneralizedPareto
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 2 for calling the SplicedBinnedParetoOutput obj's underlying member method code with example usage: obj.domain_map(cls, logits, upper_gp_xi, upper_gp_beta, lower_gp_xi, lower_gp_beta) and returns: logits,  upper_gp_xi,  upper_gp_beta,  lower_gp_xi,  lower_gp_beta