ModelManager

Kotlin |Java

public class ModelManager
extends Object

java.lang.Object
↳	android.adservices.ondevicepersonalization.ModelManager

Handles model inference and only support TFLite model inference now. See IsolatedService.getModelManager(RequestToken).

Summary

Public methods
`void`	`run(InferenceInput input, Executor executor, OutcomeReceiver<InferenceOutput, Exception> receiver)` Run a single model inference.

Inherited methods

From class


        
          java.lang.Object

`Object`	`clone()` Creates and returns a copy of this object.
`boolean`	`equals(Object obj)` Indicates whether some other object is "equal to" this one.
`void`	`finalize()` Called by the garbage collector on an object when garbage collection determines that there are no more references to the object.
`final Class<?>`	`getClass()` Returns the runtime class of this `Object`.
`int`	`hashCode()` Returns a hash code value for the object.
`final void`	`notify()` Wakes up a single thread that is waiting on this object's monitor.
`final void`	`notifyAll()` Wakes up all threads that are waiting on this object's monitor.
`String`	`toString()` Returns a string representation of the object.
`final void`	`wait(long timeoutMillis, int nanos)` Causes the current thread to wait until it is awakened, typically by being notified or interrupted, or until a certain amount of real time has elapsed.
`final void`	`wait(long timeoutMillis)` Causes the current thread to wait until it is awakened, typically by being notified or interrupted, or until a certain amount of real time has elapsed.
`final void`	`wait()` Causes the current thread to wait until it is awakened, typically by being notified or interrupted.

Public methods

run

Added in API level 35

public void run (InferenceInput input, 
                Executor executor, 
                OutcomeReceiver<InferenceOutput, Exception> receiver)

Run a single model inference. Only supports TFLite model inference now.
This method may take several seconds to complete, so it should only be called from a worker thread.

Parameters
`input`	`InferenceInput`: contains all the information needed for a run of model inference. This value cannot be `null`.
`executor`	`Executor`: the `Executor` on which to invoke the callback. This value cannot be `null`. Callback and listener events are dispatched through this `Executor`, providing an easy way to control which thread is used. To dispatch events through the main thread of your application, you can use `Context.getMainExecutor()`. Otherwise, provide an `Executor` that dispatches to an appropriate thread.
`receiver`	`OutcomeReceiver`: this returns a `InferenceOutput` which contains model inference result or `Exception` on failure. This value cannot be `null`.