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lu-wang-g avatar lu-wang-g commented on July 19, 2024 1

You're right. Quantization won'y apply if you don't explicitly set up the optimization option.

And the tflite model (a flatbuffers file) is in a different format of the saved model. From the Keras documentation:
"_A Keras model consists of multiple components:

  1. An architecture, or configuration, which specifies what layers the model contain, and how they're connected.
  2. A set of weights values (the "state of the model").
  3. An optimizer (defined by compiling the model).
  4. A set of losses and metrics (defined by compiling the model or calling add_loss() or add_metric())._"

And the tflite model strips off information about training (item 4) and compilation (item 3). Therefore the size will be smaller than Keras model.

from tflite-support.

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