How to use the attrs.ExtraAttr function in attrs

conv_act=ReluActivation(),
        pool_stride=2,
        pool_type=MaxPooling(),
        pool_size=2)

    tmp = fc_layer(
        input=tmp,
        size=4096,
        act=ReluActivation(),
        layer_attr=ExtraAttr(drop_rate=0.5))

    tmp = fc_layer(
        input=tmp,
        size=4096,
        act=ReluActivation(),
        layer_attr=ExtraAttr(drop_rate=0.5))

    return fc_layer(input=tmp, size=num_classes, act=SoftmaxActivation())

conv_act=ReluActivation(),
            conv_with_batchnorm=True,
            conv_batchnorm_drop_rate=dropouts,
            pool_type=MaxPooling())

    tmp = __vgg__(input_image, 64, 2, [0.3, 0], num_channels)
    tmp = __vgg__(tmp, 128, 2, [0.4, 0])
    tmp = __vgg__(tmp, 256, 3, [0.4, 0.4, 0])
    tmp = __vgg__(tmp, 512, 3, [0.4, 0.4, 0])
    tmp = img_pool_layer(
        input=tmp, stride=2, pool_size=2, pool_type=MaxPooling())
    tmp = dropout_layer(input=tmp, dropout_rate=0.5)
    tmp = fc_layer(
        input=tmp,
        size=512,
        layer_attr=ExtraAttr(drop_rate=0.5),
        act=LinearActivation())
    tmp = batch_norm_layer(input=tmp, act=ReluActivation())
    return fc_layer(input=tmp, size=num_classes, act=SoftmaxActivation())

filter_size=conv_filter_size[i],
            num_filters=conv_num_filter[i],
            param_attr=param_attr,
            **extra_kwargs)

        # logger.debug("tmp.num_filters = %d" % tmp.num_filters)

        if conv_with_batchnorm[i]:
            dropout = conv_batchnorm_drop_rate[i]
            if dropout == 0 or abs(dropout) < 1e-5:  # dropout not set
                tmp = batch_norm_layer(input=tmp, act=conv_act[i])
            else:
                tmp = batch_norm_layer(
                    input=tmp,
                    act=conv_act[i],
                    layer_attr=ExtraAttr(drop_rate=dropout))

    return img_pool_layer(
        input=tmp, stride=pool_stride, pool_size=pool_size, pool_type=pool_type)