>>> def get_fc_block(block_idx, input_size, is_last=False):
            ...     block_name = "block_" + str(block_idx)
            ...     block = paddle.nn.Sequential(
            ...         (block_name + "_fc_0", paddle.nn.Linear(input_size, input_size, bias_attr=False)),
            ...         (block_name + "_dropout", paddle.nn.Dropout(p=0.5)),
            ...         (block_name + "_relu_1", paddle.nn.ReLU()),
            ...         (block_name + "_fc_1", paddle.nn.Linear(input_size, input_size, bias_attr=False)),
            ...         (block_name + "_relu_2", paddle.nn.ReLU()),
            ...     )
            ...     if is_last:
            ...         block.add_sublayer(
            ...             block_name + "_fc_2",
            ...             paddle.nn.Linear(
            ...                 input_size, 1, bias_attr=False
            ...             )
            ...         )
            ...     else:
            ...         block.add_sublayer(
            ...             block_name + "_fc_2",
            ...             paddle.nn.Linear(input_size, input_size, bias_attr=False)
            ...         )
            ...     return block