tfl.test_utils.run_training_loop

Trains models and prints debug info.

tfl.test_utils.run_training_loop(
    config,
    training_data,
    keras_model,
    input_dtype=np.float32,
    label_dtype=np.float32
)

Args
`config`	dictionary of test case parameters. See tests for TensorFlow Lattice layers.
`training_data`	tuple: (training_inputs, labels) where training_inputs and labels are proper data to train models passed via other parameters.
`keras_model`	Keras model to train on training_data.
`input_dtype`	dtype for input conversion.
`label_dtype`	dtype for label conversion.

Returns
Loss measured on training data and tf.session() if one was initialized explicitly during training.

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Last updated 2024-08-02 UTC.

Args