code: def _MaxPoolGradGradV2(op: ops.Operation, grad):
      ksize = op.inputs[3]
      strides = op.inputs[4]
      return (
          array_ops.zeros_like(op.inputs[0]),
          array_ops.zeros_like(op.inputs[1]),
          gen_nn_ops.max_pool_grad_grad_v2(
              op.inputs[0],
              op.inputs[1],
              grad,
              ksize,
              strides,
              padding=op.get_attr("padding"),
              data_format=op.get_attr("data_format"),
          ),
          None,
          None,
      )
  
imports: import functools
  import itertools
  import operator
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 45 for calling a global function with example usage: _MaxPoolGradGradV2(op, grad) and returns: array_ops,  array_ops,  gen_nn_ops,  None,  None