code: def testGradientsAll(self):
      with ops.Graph().as_default():
          # Slice the middle square out of a 4x4 input
          self._testGradientSlice([4, 4], [1, 1], [2, 2])
  
          # Slice the upper left square out of a 4x4 input
          self._testGradientSlice([4, 4], [0, 0], [2, 2])
  
          # Slice a non-square input starting from (2,1)
          self._testGradientSlice([4, 4], [2, 1], [1, 2])
  
          # Slice a 3D tensor
          self._testGradientSlice([3, 3, 3], [0, 1, 0], [2, 1, 1])
  
          # Use -1 as a slice dimension.
          self._testGradientVariableSize()
  
          # Use -1 as a slice dimension on a 2D tensor.
          self._testGradientVariableSize2D()
  
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 23 for calling the SliceTest obj's underlying member method code with example usage: obj.testGradientsAll() without return types