class_docstr: A dictionary of SamplePaths.
code: def forward(
      self, x: Tensor, **kwargs: Any
  ) -> Union[Tensor, Dict[str, Tensor]]:
      out = [path(x, **kwargs) for path in self.paths.values()]
      return (
          dict(zip(self.paths, out))
          if self.join is None
          else self.join(out)
      )
  
imports: from __future__ import annotations
  from abc import ABC
  from typing import Any, Callable, Dict, Iterable, Iterator, List, Mapping, Optional, Tuple, Union
  from botorch.exceptions.errors import UnsupportedError
  from botorch.sampling.pathwise.features import FeatureMap
  from botorch.sampling.pathwise.utils import TInputTransform, TOutputTransform, TransformedModuleMixin
  from torch import Tensor
  from torch.nn import Module, ModuleDict, ModuleList, Parameter
label_desc: Use image node_id 2 for calling the PathDict obj's underlying member method code with example usage: obj.forward(x) and returns: unknown