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Module: tf.lite

Public API for tf.lite namespace.

Modules

experimental module: Public API for tf.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.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/lite