code: def find_einsum(g):
      graph_def = g.as_graph_def()
      for node in graph_def.node:
          if node.op == "Einsum":
              return True
      return False
  
imports: from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import importer
  from tensorflow.python.framework import ops
  from tensorflow.python.layers import convolutional
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import tpu
  from tensorflow.python.tpu import tpu_feed
  from tensorflow.python.tpu import tpu_replication
  from tensorflow.python.tpu import training_loop
  from tensorflow.python.tpu.ops import tpu_ops
label_desc: Use image node_id 2 for calling a global function with example usage: find_einsum(g) and returns: False, True