ValueError: Could not find matching concrete function to call loaded from the SavedModel. Got:
  Positional arguments (3 total):
    * [[<tf.Tensor 'inputs:0' shape=(1, 64, 64, 3) dtype=float32>,
  <tf.Tensor 'inputs_1:0' shape=(1, 64, 64, 3) dtype=float32>]]
    * False
    * None
  Keyword arguments: {}

 Expected these arguments to match one of the following 4 option(s):

Option 1:
  Positional arguments (3 total):
    * [TensorSpec(shape=(None, None, None, 3), dtype=tf.float32, name='image_color'),
 TensorSpec(shape=(None, None, None, 3), dtype=tf.float32, name='image_depth')]
    * False
    * None
  Keyword arguments: {}

Option 2:
  Positional arguments (3 total):
    * [TensorSpec(shape=(None, None, None, 3), dtype=tf.float32, name='inputs/0'),
 TensorSpec(shape=(None, None, None, 3), dtype=tf.float32, name='inputs/1')]
    * False
    * None
  Keyword arguments: {}

Option 3:
  Positional arguments (3 total):
    * [TensorSpec(shape=(None, None, None, 3), dtype=tf.float32, name='inputs/0'),
 TensorSpec(shape=(None, None, None, 3), dtype=tf.float32, name='inputs/1')]
    * True
    * None
  Keyword arguments: {}

Option 4:
  Positional arguments (3 total):
    * [TensorSpec(shape=(None, None, None, 3), dtype=tf.float32, name='image_color'),
 TensorSpec(shape=(None, None, None, 3), dtype=tf.float32, name='image_depth')]
    * True
    * None
  Keyword arguments: {}