code: def _testIntLargeInput(self, input_shape):
      inputs = np.random.randint(-1e3, 1e3, input_shape)
      n = np.random.randint(input_shape[-1])
      sort_inputs = np.sort(inputs)
      expected_values = sort_inputs[..., n]
      self._validateNthElement(
          inputs, dtypes.int32, n, False, expected_values
      )
      expected_values = sort_inputs[..., ::-1][..., n]
      self._validateNthElement(
          inputs, dtypes.int64, n, True, expected_values
      )
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the NthElementTest obj's underlying member method code with example usage: obj._testIntLargeInput(input_shape) without return types