code: def test_invalid_inputs(self):
      # Rank 0 input signal.
      with self.assertRaises(ValueError):
          shape_ops.frame(1, 1, 1)
  
      if not context.executing_eagerly():
          # If the rank is unknown, do not raise an exception.
          shape_ops.frame(
              array_ops.placeholder_with_default(
                  1, shape=tensor_shape.TensorShape(None)
              ),
              1,
              1,
          )
  
      # Non-scalar frame_length.
      with self.assertRaises(ValueError):
          shape_ops.frame([1], [1], 1)
  
      # Non-scalar frame_step.
      with self.assertRaises(ValueError):
          shape_ops.frame([1], 1, [1])
  
      # Non-scalar pad_value.
      with self.assertRaises(ValueError):
          shape_ops.frame([1], 1, 1, pad_end=True, pad_value=[1])
  
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 3 for calling the FrameTest obj's underlying member method code with example usage: obj.test_invalid_inputs() without return types