class_docstr: A class representing probability distributions.
class_docstr_tok: ["A","class","representing","probability","distributions","."]
docstr: Number of overall dimensions.
docstr_tok: ["Number","of","overall","dimensions","."]
code: def all_dim(self) -> int:
      r"""
      Number of overall dimensions.
      """
      return self.batch_dim + self.event_dim
  
imports: from typing import cast, Any, List, Optional, Tuple
  import mxnet
  import numpy
  from mxnet import autograd
  from gluonts.mx import Tensor
label_desc: Use image node_id 11 for calling the Distribution obj's underlying member method code with example usage: obj.all_dim() and returns: unknown