class_docstr: This allows us to use a list of `TransformModule` in the same way as
  :class:`~torch.distributions.transform.ComposeTransform`. This is needed
  so that transform parameters are automatically registered by Pyro's param
  store when used in :class:`~pyro.nn.module.PyroModule` instances.
code: def with_cache(self, cache_size=1):
      if cache_size == self._cache_size:
          return self
      return ComposeTransformModule(self.parts, cache_size=cache_size)
  
file_path: pyro/pyro/distributions/torch_transform.py
imports: import torch
label_desc: Use image node_id 3 for calling the ComposeTransformModule obj's underlying member method code with example usage: obj.with_cache(cache_size) and returns: ComposeTransformModule, self