InferenceInput.Params.Builder

Kotlin |Java

public static final class InferenceInput.Params.Builder
extends Object

java.lang.Object
↳	android.adservices.ondevicepersonalization.InferenceInput.Params.Builder

A builder for Params

Summary

Public constructors
`Builder(KeyValueStore keyValueStore, String modelKey)` Creates a new Builder.

Public methods
`InferenceInput.Params`	`build()` Builds the instance.
`InferenceInput.Params.Builder`	`setDelegateType(int value)` The delegate to run model inference.
`InferenceInput.Params.Builder`	`setKeyValueStore(KeyValueStore value)` A `KeyValueStore` where pre-trained model is stored.
`InferenceInput.Params.Builder`	`setModelKey(String value)` The key of the table where the corresponding value stores a pre-trained model.
`InferenceInput.Params.Builder`	`setModelType(int value)` The type of the pre-trained model.
`InferenceInput.Params.Builder`	`setRecommendedNumThreads(int value)` The number of threads used for intraop parallelism on CPU, must be positive number.

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 constructors

Builder

Added in API level 35

public Builder (KeyValueStore keyValueStore, 
                String modelKey)

Creates a new Builder.

Parameters
`keyValueStore`	`KeyValueStore`: A `KeyValueStore` where pre-trained model is stored. Only supports TFLite model now. This value cannot be `null`.
`modelKey`	`String`: The key of the table where the corresponding value stores a pre-trained model. Only supports TFLite model now. This value cannot be `null`.

Public methods

build

Added in API level 35

public InferenceInput.Params build ()

Builds the instance.

Returns
`InferenceInput.Params`	This value cannot be `null`.

setDelegateType

Added in API level 35

public InferenceInput.Params.Builder setDelegateType (int value)

The delegate to run model inference. If not set, the default value is InferenceInput.Params.DELEGATE_CPU.

Parameters
`value`	`int`: Value is `InferenceInput.Params.DELEGATE_CPU`

Returns
`InferenceInput.Params.Builder`	This value cannot be `null`.

setKeyValueStore

Added in API level 35

public InferenceInput.Params.Builder setKeyValueStore (KeyValueStore value)

A KeyValueStore where pre-trained model is stored. Only supports TFLite model now.

Parameters
`value`	`KeyValueStore`: This value cannot be `null`.

Returns
`InferenceInput.Params.Builder`	This value cannot be `null`.

setModelKey

Added in API level 35

public InferenceInput.Params.Builder setModelKey (String value)

The key of the table where the corresponding value stores a pre-trained model. Only supports TFLite model now.

Parameters
`value`	`String`: This value cannot be `null`.

Returns
`InferenceInput.Params.Builder`	This value cannot be `null`.

setModelType

Added in API level 35

public InferenceInput.Params.Builder setModelType (int value)

The type of the pre-trained model. If not set, the default value is InferenceInput.Params.MODEL_TYPE_TENSORFLOW_LITE . Only supports InferenceInput.Params.MODEL_TYPE_TENSORFLOW_LITE for now.

Parameters
`value`	`int`: Value is `InferenceInput.Params.MODEL_TYPE_TENSORFLOW_LITE`

Returns
`InferenceInput.Params.Builder`	This value cannot be `null`.

setRecommendedNumThreads

Added in API level 35

public InferenceInput.Params.Builder setRecommendedNumThreads (int value)

The number of threads used for intraop parallelism on CPU, must be positive number. Adopters can set this field based on model architecture. The actual thread number depends on system resources and other constraints.

Parameters
`value`	`int`: Value is 1 or greater

Returns
`InferenceInput.Params.Builder`	This value cannot be `null`.