code: def __init__(
      self,
      base_distribution: PiecewiseLinear,
      transforms: List[AffineTransform],
      validate_args=None,
  ) -> None:
      super().__init__(
          base_distribution, transforms, validate_args=validate_args
      )
  
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 1 to create a new TransformedPiecewiseLinear object from inherited base classes: TransformedDistribution with example: obj = TransformedPiecewiseLinear(base_distribution, transforms, validate_args)