Representative dataset used to optimize the model.
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.
Args
input_gen
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-09-04 UTC."],[],[],null,["# tf.lite.RepresentativeDataset\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/2adc36c677a558b93a454705059baac2b0cdf5a3/tensorflow/lite/python/lite.py#L167-L188) |\n\nRepresentative dataset used to optimize the model. \n\n tf.lite.RepresentativeDataset(\n input_gen\n )\n\nThis is a generator function that provides a small dataset to calibrate or\nestimate the range, i.e, (min, max) of all floating-point arrays in the model\n(such as model input, activation outputs of intermediate layers, and model\noutput) for quantization. Usually, this is a small subset of a few hundred\nsamples randomly chosen, in no particular order, from the training or\nevaluation dataset.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `input_gen` | 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. |\n\n\u003cbr /\u003e"]]
View source on GitHub