behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.
    *   Add support for passing list of lists to the `metrics` param in Keras
        `compile`.
    *   Added top-k to precision and recall to keras metrics.
    *   Adding public APIs for `cumsum` and `cumprod` keras backend functions.

            "items": {
              "allOf": [
                {

  let summary = [{
Adds sparse `updates` to an existing tensor according to `indices`.
  }];

  let description = [{
This operation creates a new tensor by adding sparse `updates` to the passed
in `tensor`.
This operation is very similar to `tf.compat.v1.scatter_nd_add`, except that the
updates are added onto an existing tensor (as opposed to a variable). If the

				Spec: core.PodSpec{
					NodeSelector: map[string]string{
						"foo": "bar",
					},
					SchedulingGates: []core.PodSchedulingGate{{Name: "baz"}},
				},
			},
			test: "adding node selector is allowed for gated pods",
		}, {
			old: core.Pod{
				Spec: core.PodSpec{
					NodeSelector: map[string]string{
						"foo": "bar",
					},
				},
			},