534a56bb2f790e17160586ed8a72b88d37de9c5a,autokeras/layer_transformer.py,,deeper_conv_block,#Any#Any#Any#,10

Before Change

        filter_weight[index] = 1
        weight[..., i] = filter_weight
    bias = np.zeros(n_filters)
    conv_weights = (add_noise(weight, np.array([0, 1])), add_noise(bias, np.array([0, 1])))
    // conv_weights = (weight, bias)
    new_conv_layer = StubConvBlock(n_filters, kernel_size=filter_shape)

    bn_weights = [np.ones(n_filters, dtype=np.float32),
                   np.zeros(n_filters, dtype=np.float32),
                   np.zeros(n_filters, dtype=np.float32),
                   np.ones(n_filters, dtype=np.float32)]
    new_conv_layer.set_weights([bn_weights, conv_weights])

    return new_conv_layer

After Change

                       np.zeros(n_filters, dtype=np.float32),
                       np.zeros(n_filters, dtype=np.float32),
                       np.ones(n_filters, dtype=np.float32)]
        bn.set_weights(new_weights)

    return [bn,
            StubActivation("relu"),
            new_conv_layer,

Instances