Public API for tf._api.v2.lite namespace ## Modules [`experimental`](https://developers.google.com/edge/api/tflite/python/tf/lite/experimental) module: Public API for tf._api.v2.lite.experimental namespace ## Classes [`class Interpreter`](https://developers.google.com/edge/api/tflite/python/tf/lite/Interpreter): Interpreter interface for running TensorFlow Lite models. [`class OpsSet`](https://developers.google.com/edge/api/tflite/python/tf/lite/OpsSet): Enum class defining the sets of ops available to generate TFLite models. [`class Optimize`](https://developers.google.com/edge/api/tflite/python/tf/lite/Optimize): Enum defining the optimizations to apply when generating a tflite model. [`class RepresentativeDataset`](https://developers.google.com/edge/api/tflite/python/tf/lite/RepresentativeDataset): Representative dataset used to optimize the model. [`class TFLiteConverter`](https://developers.google.com/edge/api/tflite/python/tf/lite/TFLiteConverter): Converts a TensorFlow model into TensorFlow Lite model. [`class TargetSpec`](https://developers.google.com/edge/api/tflite/python/tf/lite/TargetSpec): Specification of target device used to optimize the model.