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 __repr__(self):
      args = (self.op, self.name, self.id, self.title, self.repeat)
      f = "<Node: op: {}, name: {}, id: {}, title: {}, repeat: {}"
      if self.output_shape:
          args += (str(self.output_shape),)
          f += ", shape: {:}"
      if self.params:
          args += (str(self.params),)
          f += ", params: {:}"
      f += ">"
      return f.format(*args)
  
imports: from __future__ import absolute_import, division, print_function
  import os
  import re
  from random import getrandbits
  import inspect
  import numpy
  import html
label_desc: Use image node_id 4 for calling the Node obj's underlying member method code with example usage: obj.__repr__() and returns: f