Params

DELEGATE_CPU

static val DELEGATE_CPU: Int

The model inference will run on CPU.

Value: 1

MODEL_TYPE_TENSORFLOW_LITE

static val MODEL_TYPE_TENSORFLOW_LITE: Int

The model is a tensorflow lite model.

Value: 1

equals

open fun equals(other: Any?): Boolean

Indicates whether some other object is "equal to" this one.

The equals method implements an equivalence relation on non-null object references:

• It is reflexive: for any non-null reference value x, x.equals(x) should return true.
• It is symmetric: for any non-null reference values x and y, x.equals(y) should return true if and only if y.equals(x) returns true.
• It is transitive: for any non-null reference values x, y, and z, if x.equals(y) returns true and y.equals(z) returns true, then x.equals(z) should return true.
• It is consistent: for any non-null reference values x and y, multiple invocations of x.equals(y) consistently return true or consistently return false, provided no information used in equals comparisons on the objects is modified.
• For any non-null reference value x, x.equals(null) should return false.

An equivalence relation partitions the elements it operates on into equivalence classes; all the members of an equivalence class are equal to each other. Members of an equivalence class are substitutable for each other, at least for some purposes.

getDelegateType

open fun getDelegateType(): Int

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

getKeyValueStore

open fun getKeyValueStore(): KeyValueStore

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

getModelKey

open fun getModelKey(): String

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

getModelType

open fun getModelType(): Int

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.

getRecommendedNumThreads

open fun getRecommendedNumThreads(): Int

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.

hashCode

open fun hashCode(): Int