docstr: The sample shape of the underlying samplers.
docstr_tok: ["The","sample","shape","of","the","underlying","samplers","."]
code: def sample_shape(self) -> torch.Size:
      r"""The sample shape of the underlying samplers."""
      self._validate_samplers()
      return self.samplers[0].sample_shape
  
file_path: botorch/botorch/sampling/list_sampler.py
imports: from __future__ import annotations
  import torch
  from botorch.exceptions.errors import UnsupportedError
  from botorch.posteriors.posterior_list import PosteriorList
  from botorch.sampling.base import MCSampler
  from torch import Tensor
  from torch.nn import ModuleList
label_desc: Use image node_id 3 for calling the ListSampler obj's underlying member method code with example usage: obj.sample_shape() and returns: self