Builder

Kotlin |Java

class Builder

kotlin.Any
↳	android.adservices.ondevicepersonalization.InferenceInput.Params.Builder

A builder for Params

Summary

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

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

Public constructors

Builder

Added in API level VanillaIceCream

Builder(
    keyValueStore: KeyValueStore, 
    modelKey: String)

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 VanillaIceCream

fun build(): InferenceInput.Params

Builds the instance.

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

setDelegateType

Added in API level VanillaIceCream

fun setDelegateType(value: Int): InferenceInput.Params.Builder

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

Parameters
`value`	Int: Value is `android.adservices.ondevicepersonalization.InferenceInput.Params#DELEGATE_CPU`

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

setKeyValueStore

Added in API level VanillaIceCream

fun setKeyValueStore(value: KeyValueStore): InferenceInput.Params.Builder

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

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

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

setModelKey

Added in API level VanillaIceCream

fun setModelKey(value: String): InferenceInput.Params.Builder

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`.

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

setModelType

Added in API level VanillaIceCream

fun setModelType(value: Int): InferenceInput.Params.Builder

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

Parameters
`value`	Int: Value is `android.adservices.ondevicepersonalization.InferenceInput.Params#MODEL_TYPE_TENSORFLOW_LITE`

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

setRecommendedNumThreads

Added in API level VanillaIceCream

fun setRecommendedNumThreads(value: Int): InferenceInput.Params.Builder

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

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