code: def _to_orig_params(
      slopes: torch.Tensor, knot_spacings: torch.Tensor
  ) -> Tuple[torch.Tensor, torch.Tensor]:
      b = PiecewiseLinear.parametrize_slopes(slopes)
      knot_positions = PiecewiseLinear.parametrize_knots(knot_spacings)
      return b, knot_positions
  
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 PiecewiseLinear obj's underlying member method code with example usage: obj._to_orig_params(slopes, knot_spacings) and returns: b,  knot_positions