Introducing LiteRT Next: A new set of APIs that improves and simplifies on-device hardware acceleration.

Class Index

These are all the API classes. See all API packages.

A B C E J L M N S T

A

`Accelerator`	Hardware accelerators supported by LiteRT.
`AiPackModelProvider`	A `ModelProvider` that's backed by on-demand Google Play AI Pack.

BuiltinNpuAcceleratorProvider

An implementation of NpuAcceleratorProvider, which provides the NPU libraries without dynamic downloading.

`CompiledModel`	Class that represents a compiled LiteRT model.
`CompiledModel.Options`	Options to specify hardware acceleration for compiling a model.

`Environment`	Environment to hold configuration options for LiteRT runtime.
`Environment.Option`	Options configurable in LiteRT environment.

JniHandle

A base class for all Kotlin types that wrap a JNI handle.

LiteRtException

Exception for various LiteRT API errors.

`Model`	Model represents a LiteRT model file.
`ModelProvider`	A model provider that provides a model file and relevant information.
`ModelProvider.Type`	Model files could be either an asset or a file.
`ModelSelector`	ModelSelector allows to dynamically select a `ModelProvider` from a given set of providers.

`NpuAcceleratorProvider`	An interface to provide the NPU libraries.
`NpuCompatibilityChecker`	An interface to checks if the device is compatible with NPU.

Status

Status codes for LiteRtException.

`TensorBuffer`	TensorBuffer represents the raw memory where tensor data is stored.
`TensorBufferRequirements`	Requirements for allocating a TensorBuffer.
`TensorBufferType`	The type of the tensor buffer.