`tf.keras.utils.image_dataset_from_directory`,`tf.keras.utils.text_dataset_from_directory`,
        and `audio_dataset_from_directory`, to be used with the
        `validation_split` argument, for returning both dataset splits at once,
        as a tuple.
    *   Added `tf.keras.utils.split_dataset` utility to split a `Dataset` object
        or a list/tuple of arrays into two `Dataset` objects (e.g. train/test).

progression of the Numbers 2, 4, 6, 8, 10, 12, &c. and between these
Fits the Rays shall be in Fits of easy Transmission._

For since the Fits of easy Reflexion and easy Transmission are of a
returning nature, there is no reason why these Fits, which continued
till the Ray arrived at the reflecting Medium, and there inclined the
Ray to Reflexion, should there cease. And if the Ray at the point of

- Kube-apiserver: fixes scale subresource patch handling to avoid returning unnecessary 409 Conflict error to clients ([#90342](https://github.com/kubernetes/kubernetes/pull/90342), [@liggitt](https://github.com/liggitt)) [SIG Apps, Autoscaling and Testing]

                        underlying implementation must actively reject request attempts to this
                        backend, by rejecting the connection or returning a 500 status code.
                        Request rejections must respect weight; if an invalid backend is
                        requested to have 80% of requests, then 80% of requests must be rejected

will return an error when trying to lookup the gradient of this op,
because no gradient must ever be registered for this function.  This
op exists to prevent subtle bugs from silently returning unimplemented
gradients in some corner cases.
  }];

  let arguments = (ins
    Arg<TF_Tensor, [{any tensor.}]>:$input,

    DefaultValuedOptionalAttr<StrAttr, "\"\"">:$message
  );

        "type": "object"
      }
    },

        "type": "object"
      },