AccelerationService

AI-generated Key Takeaways

• The AccelerationService API provides methods for accelerating TensorFlow Lite models.

• You can create an AccelerationService instance using a Context or a Context and an Executor.

• The API allows generating or selecting the best acceleration configuration by running mini-benchmarks over configurations.

• You can validate a single acceleration configuration or a collection of configurations using mini-benchmarks.

public class AccelerationService extends Object

Acceleration Service API

Public Method Summary

static AccelerationService	create(Context context) Creates AccelerationService instance.
static AccelerationService	create(Context context, Executor executor) Creates AccelerationService instance.
Task<ValidatedAccelerationConfigResult>	generateBestConfig(Model model, ValidationConfig validationConfig) Generates a list of candidate AccelerationConfigs and runs Mini-benchmark over them.
Task<ValidatedAccelerationConfigResult>	selectBestConfig(Model model, Iterable<AccelerationConfig> configs, ValidationConfig validationConfig) Runs Mini-benchmark over a collection of configs.
Task<ValidatedAccelerationConfigResult>	validateConfig(Model model, AccelerationConfig accelerationConfig, ValidationConfig validationConfig) Runs Mini-benchmark with the given model, accelerationConfig, and validationConfig.
Task<Iterable<ValidatedAccelerationConfigResult>>	validateConfigs(Model model, Iterable<AccelerationConfig> configs, ValidationConfig validationConfig) Runs Mini-benchmark over a collection of AccelerationConfig.

Inherited Method Summary

From class java.lang.Object

Object	clone()
boolean	equals(Object arg0)
void	finalize()
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

Public Methods

public static AccelerationService create (Context context)

Creates AccelerationService instance.

public static AccelerationService create (Context context, Executor executor)

Creates AccelerationService instance. Validation tests will run with the given executor.

public Task<ValidatedAccelerationConfigResult> generateBestConfig (Model model, ValidationConfig validationConfig)

Generates a list of candidate AccelerationConfigs and runs Mini-benchmark over them. Among the ones that passed accuracy checks, returns the one with the best performance. Returns a Task of null if none of the configs passes validation check. Returns a failed Task if benchmarking failed.

public Task<ValidatedAccelerationConfigResult> selectBestConfig (Model model, Iterable<AccelerationConfig> configs, ValidationConfig validationConfig)

Runs Mini-benchmark over a collection of configs. Among the ones that passed accuracy checks, returns the one with the best performance. Returns a Task of null if none of the configs passes validation check. Returns a failed Task if benchmarking failed.

public Task<ValidatedAccelerationConfigResult> validateConfig (Model model, AccelerationConfig accelerationConfig, ValidationConfig validationConfig)

Runs Mini-benchmark with the given model, accelerationConfig, and validationConfig. The benchmark result will also be cached by the acceleration service.

public Task<Iterable<ValidatedAccelerationConfigResult>> validateConfigs (Model model, Iterable<AccelerationConfig> configs, ValidationConfig validationConfig)

Runs Mini-benchmark over a collection of AccelerationConfig.