Introducing LiteRT: Google's high-performance runtime for on-device AI, formerly known as TensorFlow Lite.
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Module: tf.lite
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Public API for tf._api.v2.lite namespace
Modules
experimental
module: Public API for tf._api.v2.lite.experimental namespace
Classes
class Interpreter
: Interpreter interface for running TensorFlow Lite models.
class OpsSet
: Enum class defining the sets of ops available to generate TFLite models.
class Optimize
: Enum defining the optimizations to apply when generating a tflite model.
class RepresentativeDataset
: Representative dataset used to optimize the model.
class TFLiteConverter
: Converts a TensorFlow model into TensorFlow Lite model.
class TargetSpec
: Specification of target device used to optimize the model.
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Last updated 2024-05-08 UTC.
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