cd3e85f75755a2d1f02e03b2d76b74179a64c622,snntoolbox/core/pipeline.py,,test_full,#Any#Any#Any#Any#,27

Before Change

    // otherwise load it from scratch and perform necessary adaptations (e.g.
    // reducing dataset size for reshaping according to network architecture).
    // Then save it to disk.
    datadir_base = os.path.expanduser(os.path.join("~", ".snntoolbox"))
    datadir = os.path.join(datadir_base, "datasets", settings["dataset"],
                           settings["architecture"])
    if not os.path.exists(datadir):
        os.makedirs(datadir)
    samples = os.path.join(datadir, settings["dataset"] + ".npy")
    if os.path.isfile(samples):
        (X_train, Y_train, X_test, Y_test) = tuple(np.load(samples))
    else:

After Change

            // Evaluate ANN before normalization to ensure it doesn"t affect
            // accuracy
            if settings["evaluateANN"] and not is_stop(queue):
                print("Before weight normalization:")
                snn.evaluate_ann(X_test, Y_test)

            // For memory reasons, reduce number of samples to use during
            // normalization.

Instances