def METHOD_NAME(net, channels, kernel_size, padding=0, prefix=""):
    net = layers.conv2d(
        net,
        channels=channels,
        kernel_size=(kernel_size, kernel_size),
        padding=(padding, padding),
        name=f"{prefix}_conv",
    )
    net = relay.nn.bias_add(net, relay.var(f"{prefix}_conv_bias"))
    net = relay.nn.relu(net)
    return net