code: def testRandom(self):
      # Random dims of rank 6
      input_shape = np.random.randint(0, 20, size=6)
      inp = np.random.rand(*input_shape).astype("f")
      a = constant_op.constant(
          [float(x) for x in inp.ravel(order="C")],
          shape=input_shape,
          dtype=dtypes.float32,
      )
      indices = [
          0 if x == 0 else np.random.randint(x) for x in input_shape
      ]
      sizes = [
          np.random.randint(0, input_shape[i] - indices[i] + 1)
          for i in range(6)
      ]
      slice_t = array_ops.slice(a, indices, sizes)
      slice2_t = a[
          indices[0] : indices[0] + sizes[0],
          indices[1] : indices[1] + sizes[1],
          indices[2] : indices[2] + sizes[2],
          indices[3] : indices[3] + sizes[3],
          indices[4] : indices[4] + sizes[4],
          indices[5] : indices[5] + sizes[5],
      ]
  
      slice_val, slice2_val = self.evaluate([slice_t, slice2_t])
  
      expected_val = inp[
          indices[0] : indices[0] + sizes[0],
          indices[1] : indices[1] + sizes[1],
          indices[2] : indices[2] + sizes[2],
          indices[3] : indices[3] + sizes[3],
          indices[4] : indices[4] + sizes[4],
          indices[5] : indices[5] + sizes[5],
      ]
      self.assertAllEqual(slice_val, expected_val)
      self.assertAllEqual(slice2_val, expected_val)
      self.assertEqual(expected_val.shape, slice_t.get_shape())
      self.assertEqual(expected_val.shape, slice2_t.get_shape())
  
imports: import numpy
  from tensorflow.python.eager import backprop
  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 errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 15 for calling the SliceTest obj's underlying member method code with example usage: obj.testRandom() without return types