{name: "TESTBconst", argLength: 1, reg: gp1flags, asm: "TESTB", typ: "Flags", aux: "Int8"},

		// S{HL, HR, AR}x: shift operations
		// SHL: shift left
		// SHR: shift right logical (0s are shifted in from beyond the word size)
		// SAR: shift right arithmetic (sign bit is shifted in from beyond the word size)
		// arg0 is the value being shifted

```
### `-tf-tpu-sharding-identification`

_Identifies and handles inputs/outputs of TPU computation that is sharded across logical cores._

Bubbles up sharding configuration from `cluster_func` regions into
the attributes of `cluster_func`. This is done by parsing the
`XlaSharding` / `TPUPartitionedOutput` / `TPUPartitionedInput` ops inside

          }
        },
        "type": "object",
        "x-kubernetes-map-type": "atomic"
      },
      "io.k8s.api.discovery.v1.Endpoint": {
        "description": "Endpoint represents a single logical \"backend\" implementing a service.",
        "properties": {
          "addresses": {

                    type: object
                type: object
              listeners:
                description: |-
                  Listeners associated with this Gateway. Listeners define
                  logical endpoints that are bound on this Gateway's addresses.
                  At least one Listener MUST be specified.


                  Each Listener in a set of Listeners (for example, in a single Gateway)

	return common.OpenAPIDefinition{
		Schema: spec.Schema{
			SchemaProps: spec.SchemaProps{
				Description: "Endpoint represents a single logical \"backend\" implementing a service.",
				Type:        []string{"object"},
				Properties: map[string]spec.Schema{
					"addresses": {
						VendorExtensible: spec.VendorExtensible{

            "x-kubernetes-list-type": "atomic"
          }
        },
        "type": "object"
      },
      "io.k8s.api.rbac.v1.ClusterRole": {
        "description": "ClusterRole is a cluster level, logical grouping of PolicyRules that can be referenced as a unit by a RoleBinding or ClusterRoleBinding.",
        "properties": {
          "aggregationRule": {
            "allOf": [
              {

  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_AllOp : TF_Op<"All", [Pure]> {
  let summary = [{
Computes the "logical and" of elements across dimensions of a tensor.
  }];

  let description = [{
Reduces `input` along the dimensions given in `axis`. Unless
`keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in

- Kubelet: Fixed the bug of getting the number of cpu when the number of cpu logical processors is more than 64 in windows ([#97378](https://github.com/kubernetes/kubernetes/pull/97378), [@hwdef](https://github.com/hwdef)) [SIG Node and Windows]

          "type": "string"
        }
      },
      "type": "object"
    },
    "io.k8s.api.discovery.v1.Endpoint": {
      "description": "Endpoint represents a single logical \"backend\" implementing a service.",
      "properties": {
        "addresses": {

	}

	// Poll network.
	// This netpoll is only an optimization before we resort to stealing.
	// We can safely skip it if there are no waiters or a thread is blocked
	// in netpoll already. If there is any kind of logical race with that
	// blocked thread (e.g. it has already returned from netpoll, but does
	// not set lastpoll yet), this thread will do blocking netpoll below
	// anyway.