code: def _MaxPoolGradV2(op: ops.Operation, grad):
      ksize = op.inputs[1]
      strides = op.inputs[2]
      return (
          gen_nn_ops.max_pool_grad_v2(
              op.inputs[0],
              op.outputs[0],
              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 42 for calling a global function with example usage: _MaxPoolGradV2(op, grad) and returns: gen_nn_ops,  None,  None