class_docstr: Tests resize bicubic ops.
class_docstr_tok: ["Tests","resize","bicubic","ops","."]
code: def testGradOnUnsupportedType(self, use_tape):
      with test_util.AbstractGradientTape(use_tape=use_tape) as tape:
          in_shape = [1, 4, 6, 1]
          out_shape = [1, 2, 3, 1]
  
          x = np.arange(0, 24).reshape(in_shape).astype(np.uint8)
          input_tensor = constant_op.constant(x, shape=in_shape)
          tape.watch(input_tensor)
  
          resize_out = image_ops.resize_bicubic(
              input_tensor, out_shape[1:3]
          )
          with self.cached_session():
              grad = tape.gradient(resize_out, [input_tensor])
      self.assertEqual([None], grad)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  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 test_util
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_image_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import image_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the ResizeBicubicOpTestBase obj's underlying member method code with example usage: obj.testGradOnUnsupportedType(use_tape) without return types