factor = 2 w_attr = ParamAttr(learning_rate=0., regularizer=L2Decay(0.), initializer=Bilinear()) conv_up = fluid.layers.conv2d_transpose( input, num_filters=C, output_size=None, filter_size=2 * factor - factor % 2, padding=ceil((factor - 1) / 2.), stride=factor, groups=C, param_attr=w_attr, bias_attr=False)