code: def _testGradientVariableSize(self):
      with self.cached_session():
          inp = constant_op.constant([1.0, 2.0, 3.0], name="in")
          out = array_ops.slice(inp, [1], [-1])
          grad_actual = self.evaluate(
              gradients_impl.gradients(out, inp)[0]
          )
      self.assertAllClose([0.0, 1.0, 1.0], grad_actual)
  
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 19 for calling the SliceTest obj's underlying member method code with example usage: obj._testGradientVariableSize() without return types