|TensorFlow 1 version||View source on GitHub|
Representative dataset used to optimize the model.
Compat aliases for migration
See Migration guide for more details.
tf.lite.RepresentativeDataset( input_gen )
This is a generator function that provides a small dataset to calibrate or estimate the range, i.e, (min, max) of all floating-point arrays in the model (such as model input, activation outputs of intermediate layers, and model output) for quantization. Usually, this is a small subset of a few hundred samples randomly chosen, in no particular order, from the training or evaluation dataset.
||A generator function that generates input samples for the model and has the same order, type and shape as the inputs to the model. Usually, this is a small subset of a few hundred samples randomly chosen, in no particular order, from the training or evaluation dataset.|