class_docstr: Represents a framework-agnostic neural network layer in a directed graph.
class_docstr_tok: ["Represents","a","framework-agnostic","neural","network","layer","in","a","directed","graph","."]
code: def caption(self):
      if self._caption:
          return self._caption
  
      caption = ""
  
      # Stride
      # if "stride" in self.params:
      #     stride = self.params["stride"]
      #     if np.unique(stride).size == 1:
      #         stride = stride[0]
      #     if stride != 1:
      #         caption += "/{}".format(str(stride))
      return caption
  
imports: from __future__ import absolute_import, division, print_function
  import os
  import re
  from random import getrandbits
  import inspect
  import numpy
label_desc: Use image node_id 3 for calling the Node obj's underlying member method code with example usage: obj.caption() and returns: caption, self