class_docstr: Distribution is the abstract base class for probability distributions.
docstr: Returns the shape of a single sample (without batching).
docstr_tok: ["Returns","the","shape","of","a","single","sample","(","without","batching",")","."]
code: def event_shape(self) -> torch.Size:
      """
      Returns the shape of a single sample (without batching).
      """
      return self._event_shape
  
imports: import warnings
  from typing import Any, Dict, Optional, Tuple
  import torch
  from torch.distributions import constraints
  from torch.distributions.utils import lazy_property
  from torch.types import _size
label_desc: Use image node_id 5 for calling the Distribution obj's underlying member method code with example usage: obj.event_shape() and returns: self