c00cdeac2672e2d1ef63c02f36bb43e0b5ebfb77,autokeras/layer_transformer.py,,conv_to_deeper_layer,#Any#,10

Before Change

    filter_shape = conv_layer.kernel_size
    n_filters = conv_layer.filters
    weight = np.zeros(filter_shape + (n_filters, n_filters))
    center = (int((filter_shape[0] - 1) / 2), int((filter_shape[1] - 1) / 2))
    for i in range(n_filters):
        filter_weight = np.zeros(filter_shape + (n_filters,))
        filter_weight[center[0], center[1], i] = 1
        weight[:, :, :, i] = filter_weight

After Change

    center = tuple(map(lambda x: int((x - 1) / 2), filter_shape))
    for i in range(n_filters):
        filter_weight = np.zeros(filter_shape + (n_filters,))
        index = center + (i,)
        filter_weight[index] = 1
        weight[..., i] = filter_weight
    bias = np.zeros(n_filters)
    conv_func = get_conv_layer_func(len(filter_shape))

Instances