在线的 Graphviz 可视化工具（流程图绘制工具Graphviz Online）

第一部分：网站

Graphviz Online

第二部分：使用方式

提问方式：帮我绘制一个Graphviz Online 可以识别的流程图

示例：

digraph workflow {
    rankdir=TB;
    node [shape=box, style="rounded,filled", fillcolor="#E0FFFF", color="#004D40"];
    edge [color="#004D40"];
    
    start [label="开始", shape=circle, fillcolor="#9f9"];
    end [label="结束", shape=circle, fillcolor="#f99"];
    
    subgraph cluster_init {
        label="初始化阶段";
        style=filled;
        fillcolor="#F5F5DC";
        
        param_parse [label="解析命令行参数"];
        gpu_setup [label="设置GPU环境"];
        process_print [label="打印进程信息"];
        param_init [label="初始化训练参数"];
        log_setup [label="配置日志系统"];
        data_prepare [label="准备数据集\n(Dirichlet分布划分)"];
        ray_init [label="初始化Ray框架"];
        create_ps [label="创建ParameterServer"];
        checkpoint [label="加载检查点"];
        create_workers [label="创建DataWorkers"];
    }
    
    subgraph cluster_train {
        label="训练阶段";
        style=filled;
        fillcolor="#FFFACD";
        
        train_loop [label="训练循环"];
        select_workers [label="随机选择部分Worker"];
        local_update [label="执行本地模型更新"];
        aggregate [label="参数服务器聚合"];
        check_interval [label="达到评估间隔?", shape=diamond];
        evaluate_model [label="计算测试准确率"];
        save_best [label="保存最佳模型"];
        log_record [label="记录日志"];
        early_stop [label="无提升计数+1\n达到500次停止?", shape=diamond];
    }
    
    subgraph cluster_final {
        label="收尾阶段";
        style=filled;
        fillcolor="#E6E6FA";
        
        save_result [label="保存最终结果"];
        shutdown_ray [label="关闭Ray环境"];
    }

    start -> param_parse;
    param_parse -> gpu_setup;
    gpu_setup -> process_print;
    process_print -> param_init;
    param_init -> log_setup;
    log_setup -> data_prepare;
    data_prepare -> ray_init;
    ray_init -> create_ps;
    create_ps -> checkpoint;
    checkpoint -> create_workers;
    create_workers -> train_loop;
    
    train_loop -> select_workers;
    select_workers -> local_update;
    local_update -> aggregate;
    aggregate -> check_interval;
    
    check_interval -> evaluate_model [label="是"];
    evaluate_model -> save_best;
    save_best -> log_record;
    log_record -> early_stop;
    
    check_interval -> early_stop [label="否"];
    
    early_stop -> train_loop [label="继续"];
    early_stop -> save_result [label="停止"];
    
    save_result -> shutdown_ray;
    shutdown_ray -> end;
}

 效果：