requires all optimizer variables to be created at the first
        `apply_gradients()` or `minimize()` call. If your workflow calls
        optimizer to update different parts of model in multiple stages,
        please call `optimizer.build(model.trainable_variables)` before the
        training loop.
    *   **Performance regression on `ParameterServerStrategy`.** This could be

			break
		}
		call := v_0
		if call.Op != OpARM64CALLstatic || len(call.Args) != 4 {
			break
		}
		sym := auxToCall(call.Aux)
		mem := call.Args[3]
		dst := call.Args[0]
		src := call.Args[1]
		call_2 := call.Args[2]
		if call_2.Op != OpARM64MOVDconst {
			break
		}
		sz := auxIntToInt64(call_2.AuxInt)

                type: object
                x-kubernetes-preserve-unknown-fields: true
              pluginName:
                description: The plugin name to be used in the Envoy configuration
                  (used to be called `rootID`).
                maxLength: 256
                minLength: 1
                type: string
              priority:
                description: Determines ordering of `WasmPlugins` in the same `phase`.