*   `Optimizer.__init__` now accepts a `gradient_aggregator` to allow for
    customization of how gradients are aggregated across devices, as well as
    `gradients_transformers` to allow for custom gradient transformations (such
    as gradient clipping).
*   Improvements to Keras preprocessing layers:
    *   TextVectorization can now accept a vocabulary list or file as an init
        arg.

          "defaultMode": {

                  type: object
                type: array
              inboundConnectionPool:
                description: Settings controlling the volume of connections Envoy
                  will accept from the network.
                properties:
                  http:
                    description: HTTP connection pool settings.
                    properties:
                      h2UpgradePolicy:

                  type: object
                type: array
              inboundConnectionPool:
                description: Settings controlling the volume of connections Envoy
                  will accept from the network.
                properties:
                  http:
                    description: HTTP connection pool settings.
                    properties:
                      h2UpgradePolicy:

  let summary = [{
Computes softmax cross entropy cost and gradients to backpropagate.
  }];

  let description = [{
Unlike `SoftmaxCrossEntropyWithLogits`, this operation does not accept
a matrix of label probabilities, but rather a single label per row
of features.  This label is considered to have probability 1.0 for the
given row.

Inputs are the logits, not probabilities.
  }];

}

func TestEndpointAddressNodeNameCanBeAnIPAddress(t *testing.T) {
	endpoint := newNodeNameEndpoint("10.10.1.1")
	errList := ValidateEndpoints(endpoint)
	if len(errList) != 0 {
		t.Error("Endpoint should accept a NodeName that is an IP address")
	}
}

func TestValidateFlexVolumeSource(t *testing.T) {
	testcases := map[string]struct {
		source       *core.FlexVolumeSource
		expectedErrs map[string]string