code: def test_strided_slice(self):
      with backprop.GradientTape(persistent=True) as g:
          x = random_ops.random_uniform([3, 3, 4, 4, 2, 2, 2])
          g.watch(x)
  
      def loop_fn(i):
          with g:
              x_i = array_ops.gather(x, i)
              y = x_i[:2, ::2, 1::3, ..., array_ops.newaxis, 1]
              loss = nn.l2_loss(y)
          return y, g.gradient(loss, x_i)
  
      self._test_loop_fn(loop_fn, 3)
  
imports: from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import tensor_array_grad
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.ops.parallel_for.test_util import PForTestCase
  from tensorflow.python.platform import test
label_desc: Use image node_id 39 for calling the ArrayTest obj's underlying member method code with example usage: obj.test_strided_slice() and returns: y,  g