code: def __init__(self, instrument_graph_ops=True, float_only=False):
      self.instrument_graph_ops = instrument_graph_ops
      self._float_only = float_only
      self.reset()
  
imports: import threading
  import numpy
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import op_callbacks
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.util import compat
label_desc: Use image node_id 1 to create a new _NumpyFunctionCallback object from inherited base classes: object with example: obj = _NumpyFunctionCallback(instrument_graph_ops, float_only)