tf.lite.Optimize

Enum defining the optimizations to apply when generating tflite graphs.

Some optimizations may come at the cost of accuracy.

DEFAULT Default optimization strategy.

Converter will do its best to improve size and latency based on the
information provided.
Enhanced optimizations are gained by providing a representative_dataset.
This is recommended, and is currently equivalent to the modes below.
Currently, weights will be quantized and if representative_dataset is
provided, activations for quantizable operations will also be quantized.

OPTIMIZE_FOR_SIZE Deprecated. Does the same as DEFAULT.

OPTIMIZE_FOR_LATENCY Deprecated. Does the same as DEFAULT.

Class Variables
DEFAULT tf.lite.Optimize
OPTIMIZE_FOR_LATENCY tf.lite.Optimize
OPTIMIZE_FOR_SIZE tf.lite.Optimize

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/lite/Optimize