1cda66554188c4504aa94d1bcffd4cef9ee8a997,autokeras/layer_transformer.py,,conv_to_wider_layer,#Any#Any#Any#,91

Before Change

    n_pre_filters = pre_layer.filters
    n_next_filters = next_layer.filters

    teacher_w1 = pre_layer.get_weights()[0]
    teacher_w2 = next_layer.get_weights()[0]
    teacher_b1 = pre_layer.get_weights()[1]
    teacher_b2 = next_layer.get_weights()[1]

After Change

    conv_func = get_conv_layer_func(len(pre_filter_shape))
    n_pre_filters = pre_layer.filters

    teacher_w1, teacher_b1 = pre_layer.get_weights()

    rand = np.random.randint(n_pre_filters, size=n_add_filters)
    replication_factor = np.bincount(rand)

Instances