code: def test_dynamic_tensor(self):
      if context.executing_eagerly():
          return
      # Show that frame works even when the dimensions of its input are
      # not known at graph creation time.
      input_signal = np.vstack(
          [np.arange(4), np.arange(4) + 10, np.arange(4) + 20]
      )
      frame_length = 2
      frame_step = 2
  
      signal_placeholder = array_ops.placeholder_with_default(
          input_signal, shape=(None, None)
      )
      result = self.evaluate(
          shape_ops.frame(signal_placeholder, frame_length, frame_step)
      )
      self.assertAllEqual(
          [
              [[0, 1], [2, 3]],
              [[10, 11], [12, 13]],
              [[20, 21], [22, 23]],
          ],
          result,
      )
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.signal import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.signal import shape_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 12 for calling the FrameTest obj's underlying member method code with example usage: obj.test_dynamic_tensor() without return types