code: def parametrize_slopes(slopes: torch.Tensor) -> torch.Tensor:
      slopes_parametrized = torch.diff(slopes, dim=-1)
      slopes_parametrized = torch.cat(
          [slopes[..., 0:1], slopes_parametrized], dim=-1
      )
  
      return slopes_parametrized
  
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 3 for calling the PiecewiseLinear obj's underlying member method code with example usage: obj.parametrize_slopes(slopes) and returns: slopes_parametrized