Method watch

tensorflow/python/eager/backprop.py:837–861

Ensures that `tensor` is being traced by this tape. Args: tensor: a Tensor or list of Tensors. Raises: ValueError: if it encounters something that is not a tensor.

(self, tensor)

        pass

  def watch(self, tensor):
    """Ensures that `tensor` is being traced by this tape.

    Args:
      tensor: a Tensor or list of Tensors.

    Raises:
      ValueError: if it encounters something that is not a tensor.
    """
    for t in nest.flatten(tensor):
      if not (pywrap_tensorflow.IsTensor(t) or
              pywrap_tensorflow.IsVariable(t)):
        raise ValueError("Passed in object of type {}, not tf.Tensor".format(
            type(t)))
      if not t.dtype.is_floating:
        logging.log_first_n(
            logging.WARN, "The dtype of the watched tensor must be "
            "floating (e.g. tf.float32), got %r", 5, t.dtype)
      if hasattr(t, "handle"):
        # There are many variable-like objects, all of them currently have
        # `handle` attribute that points to a tensor. If this changes, internals
        # of watch_variable need to change as well.
        tape.watch_variable(self._tape, t)
      else:
        tape.watch(self._tape, t)

  @tf_contextlib.contextmanager
  def stop_recording(self):