DL之RNN:基于TF利用RNN算法实现生成编程语言代码(C语言)、训练&测试过程全记录

目录

输出结果

监控模型

训练&测试过程全记录

训练的数据集展示


输出结果

1、test01

,&&curses = 0;if (tsk->state_perf_event_set && id_state_init == 1)return 0;if (!still &= is_stop_init(trace, context) {if (seq_context_trace_set_torture)prev(size);pr_cont(&set);if (event->pid == 0)goto out;return ret;return 0;}if (enabled == 0)ster_state = sched(ts, &sec_stack, task->tos);
}static void sig_call(struct cpu_state *tr,struct rcu_state *size)
{int find_task;int cpu = 0;unsigned long free;set_timerective(task_parent_tasks);if (!perf_points == NULL)return;seq_printf(s, "  %ns\n", str, signal, flags);pid = ret;
}static unsigned long table_read_id_chorch_set_calc(struct trace_policy *rsp)
{struct ftrace_event *init = task_sched_cpu();struct trace *ret = &ret;struct trace_iterator *trace_read_interval;sched = cpu_post_context(cpu);return -ENOMEM;
}/*** time_context_tasks:  info as an set aling* @pron_set on this caller the at of this.** Which ops set size that commitime is all can a is alloc

2、test02

.timespec */ring_buffer_init(resoulc->system_trace_context);size_of != cpu_cpu_stack;sprevert_return_init(&task_tail_timer, file);return ret;
}static void statist_child_signal(struct task_struct *case,s instats_start *size,struct ping *timer, char *stat)
{return init(&struct state + size, state->timeolt, str, cpu) = rq->to_count_compole_print_task_caller(cpu);
}static int sched_copy_praid_irq(struct spin_lock *str, struct rq *rq->seq)
{if (task_const int)return;return;static void rcu_boost_real(struct task_struct *stat, struct ftrace_event_call *trace)
{if (!page->temp_pid(&ts->class == 0) & TASK_MONTED; i < stop_pool(current, ftrace_console_file, trace_task_furcs)cred->flags & CANDER | 1

3、test03

.   start, arg state task* an the struct strings sigre the clear that and the secs. */return 0;
}/** Rincend time a current the arched on the for and the time* store the task tracer an a to in the set_tryset is interrupted* aling are a set the task trigger already ticks to call.  If call. The curr the check to string of* instatt is in a are the file set some try instructy it strentity of* is it as that the to son to inticate the state on the states at*/
static int seq_buf_call(sched_lock)
{struct cpu *completion;/* The this stored the current allocation the tracer */if (timeore-- != 1)return 0;raw_buffer_state = true;context->trace_seq_puttour_spres(size,seq->free_stres) {if (raw_int_risk(&regs) ||struct class_cpu())case TRACE_STACK_PONRINLED(tracing_time_clocks);}if (ret)count = set_test_size();trace_buffer_clear_restart(&call->filter);init_stop(timer, system, flags);
}static int proc_system_trac

监控模型

训练&测试过程全记录

1、训练过程


2018-10-13 18:47:32.811423:
step: 10/20000...  loss: 3.7245...  0.4903 sec/batch
step: 20/20000...  loss: 3.6450...  0.4442 sec/batch
step: 30/20000...  loss: 3.8607...  0.4482 sec/batch
step: 40/20000...  loss: 3.5700...  0.4993 sec/batch
step: 50/20000...  loss: 3.5019...  0.5444 sec/batch
step: 60/20000...  loss: 3.4688...  0.4512 sec/batch
step: 70/20000...  loss: 3.3954...  0.5244 sec/batch
step: 80/20000...  loss: 3.3532...  0.4031 sec/batch
step: 90/20000...  loss: 3.2842...  0.6517 sec/batch
step: 100/20000...  loss: 3.1934...  0.4893 sec/batch……step: 990/20000...  loss: 2.0868...  0.4111 sec/batch
step: 1000/20000...  loss: 2.0786...  0.4001 sec/batch
step: 1010/20000...  loss: 2.0844...  0.4352 sec/batch
step: 1020/20000...  loss: 2.1136...  0.4402 sec/batch
step: 1030/20000...  loss: 2.1023...  0.3199 sec/batch
step: 1040/20000...  loss: 2.0460...  0.4522 sec/batch
step: 1050/20000...  loss: 2.1545...  0.4432 sec/batch
step: 1060/20000...  loss: 2.1058...  0.3680 sec/batch
step: 1070/20000...  loss: 2.0850...  0.4201 sec/batch
step: 1080/20000...  loss: 2.0811...  0.4682 sec/batch
step: 1090/20000...  loss: 2.0438...  0.4301 sec/batch
step: 1100/20000...  loss: 2.0640...  0.4462 sec/batch
……
step: 1990/20000...  loss: 1.9070...  0.4442 sec/batch
step: 2000/20000...  loss: 1.8854...  0.3920 sec/batch……step: 4000/20000...  loss: 1.7408...  0.4612 sec/batch
step: 4010/20000...  loss: 1.8354...  0.4402 sec/batch
step: 4020/20000...  loss: 1.8101...  0.3951 sec/batch
step: 4030/20000...  loss: 1.8578...  0.4422 sec/batch
step: 4040/20000...  loss: 1.7468...  0.3770 sec/batch
step: 4050/20000...  loss: 1.8008...  0.4301 sec/batch
step: 4060/20000...  loss: 1.9093...  0.3650 sec/batch
step: 4070/20000...  loss: 1.8889...  0.4582 sec/batch
step: 4080/20000...  loss: 1.8673...  0.4682 sec/batch
step: 4090/20000...  loss: 1.7999...  0.3951 sec/batch
step: 4100/20000...  loss: 1.7484...  0.4582 sec/batch
step: 4110/20000...  loss: 1.7629...  0.4071 sec/batch
step: 4120/20000...  loss: 1.6727...  0.3940 sec/batch
step: 4130/20000...  loss: 1.7895...  0.3750 sec/batch
step: 4140/20000...  loss: 1.8002...  0.3860 sec/batch
step: 4150/20000...  loss: 1.7922...  0.4532 sec/batch
step: 4160/20000...  loss: 1.7259...  0.3951 sec/batch
step: 4170/20000...  loss: 1.7123...  0.4642 sec/batch
step: 4180/20000...  loss: 1.7262...  0.3760 sec/batch
step: 4190/20000...  loss: 1.8545...  0.3910 sec/batch
step: 4200/20000...  loss: 1.8221...  0.3539 sec/batch
step: 4210/20000...  loss: 1.8693...  0.4472 sec/batch
step: 4220/20000...  loss: 1.8502...  0.4793 sec/batch
step: 4230/20000...  loss: 1.7788...  0.3539 sec/batch
step: 4240/20000...  loss: 1.8240...  0.4793 sec/batch
step: 4250/20000...  loss: 1.7947...  0.4101 sec/batch
step: 4260/20000...  loss: 1.8094...  0.3630 sec/batch
step: 4270/20000...  loss: 1.7775...  0.4021 sec/batch
step: 4280/20000...  loss: 1.8868...  0.3950 sec/batch
step: 4290/20000...  loss: 1.7982...  0.4532 sec/batch
step: 4300/20000...  loss: 1.8579...  0.3359 sec/batch
step: 4310/20000...  loss: 1.7709...  0.4412 sec/batch
step: 4320/20000...  loss: 1.7422...  0.4011 sec/batch
step: 4330/20000...  loss: 1.7841...  0.5775 sec/batch
step: 4340/20000...  loss: 1.7253...  0.4532 sec/batch
step: 4350/20000...  loss: 1.8973...  0.3479 sec/batch
step: 4360/20000...  loss: 1.7462...  0.3680 sec/batch
step: 4370/20000...  loss: 1.8291...  0.5204 sec/batch
step: 4380/20000...  loss: 1.7276...  0.3930 sec/batch
step: 4390/20000...  loss: 1.7404...  0.3289 sec/batch
step: 4400/20000...  loss: 1.6993...  0.4462 sec/batch
step: 4410/20000...  loss: 1.8670...  0.3920 sec/batch
step: 4420/20000...  loss: 1.8217...  0.4301 sec/batch
step: 4430/20000...  loss: 1.8339...  0.5164 sec/batch
step: 4440/20000...  loss: 1.7154...  0.3660 sec/batch
step: 4450/20000...  loss: 1.8485...  0.3920 sec/batch
step: 4460/20000...  loss: 1.7758...  0.4161 sec/batch
step: 4470/20000...  loss: 1.7017...  0.5234 sec/batch
step: 4480/20000...  loss: 1.6939...  0.3379 sec/batch
step: 4490/20000...  loss: 1.7715...  0.3951 sec/batch
step: 4500/20000...  loss: 1.7940...  0.4492 sec/batch
step: 4510/20000...  loss: 1.7804...  0.3740 sec/batch
step: 4520/20000...  loss: 1.7876...  0.5073 sec/batch
step: 4530/20000...  loss: 1.7149...  0.5825 sec/batch
step: 4540/20000...  loss: 1.7723...  0.3961 sec/batch
step: 4550/20000...  loss: 1.8180...  0.4271 sec/batch
step: 4560/20000...  loss: 1.7757...  0.4933 sec/batch
step: 4570/20000...  loss: 1.8858...  0.3309 sec/batch
step: 4580/20000...  loss: 1.7332...  0.3890 sec/batch
step: 4590/20000...  loss: 1.8466...  0.4251 sec/batch
step: 4600/20000...  loss: 1.8532...  0.3930 sec/batch
step: 4610/20000...  loss: 1.8826...  0.3850 sec/batch
step: 4620/20000...  loss: 1.8447...  0.3359 sec/batch
step: 4630/20000...  loss: 1.7697...  0.4221 sec/batch
step: 4640/20000...  loss: 1.9220...  0.3549 sec/batch
step: 4650/20000...  loss: 1.7555...  0.4011 sec/batch
step: 4660/20000...  loss: 1.8541...  0.3830 sec/batch
step: 4670/20000...  loss: 1.8676...  0.4181 sec/batch
step: 4680/20000...  loss: 1.9653...  0.3600 sec/batch
step: 4690/20000...  loss: 1.8377...  0.3981 sec/batch
step: 4700/20000...  loss: 1.7620...  0.4291 sec/batch
step: 4710/20000...  loss: 1.7802...  0.4251 sec/batch
step: 4720/20000...  loss: 1.7495...  0.4131 sec/batch
step: 4730/20000...  loss: 1.7338...  0.3299 sec/batch
step: 4740/20000...  loss: 1.9160...  0.4662 sec/batch
step: 4750/20000...  loss: 1.8142...  0.3389 sec/batch
step: 4760/20000...  loss: 1.8162...  0.3680 sec/batch
step: 4770/20000...  loss: 1.8710...  0.4552 sec/batch
step: 4780/20000...  loss: 1.8923...  0.4321 sec/batch
step: 4790/20000...  loss: 1.8062...  0.4061 sec/batch
step: 4800/20000...  loss: 1.8175...  0.4342 sec/batch
step: 4810/20000...  loss: 1.9355...  0.3459 sec/batch
step: 4820/20000...  loss: 1.7608...  0.4191 sec/batch
step: 4830/20000...  loss: 1.8031...  0.3991 sec/batch
step: 4840/20000...  loss: 1.9261...  0.4472 sec/batch
step: 4850/20000...  loss: 1.7129...  0.3981 sec/batch
step: 4860/20000...  loss: 1.7748...  0.4642 sec/batch
step: 4870/20000...  loss: 1.8557...  0.4221 sec/batch
step: 4880/20000...  loss: 1.7181...  0.4452 sec/batch
step: 4890/20000...  loss: 1.7657...  0.5134 sec/batch
step: 4900/20000...  loss: 1.8971...  0.4813 sec/batch
step: 4910/20000...  loss: 1.7947...  0.3670 sec/batch
step: 4920/20000...  loss: 1.7647...  0.4362 sec/batch
step: 4930/20000...  loss: 1.7945...  0.3509 sec/batch
step: 4940/20000...  loss: 1.7773...  0.4342 sec/batch
step: 4950/20000...  loss: 1.7854...  0.4121 sec/batch
step: 4960/20000...  loss: 1.7883...  0.3720 sec/batch
step: 4970/20000...  loss: 1.7483...  0.3700 sec/batch
step: 4980/20000...  loss: 1.8686...  0.5645 sec/batch
step: 4990/20000...  loss: 1.8472...  0.2075 sec/batch
step: 5000/20000...  loss: 1.8808...  0.1955 sec/batch……step: 9990/20000...  loss: 1.7760...  0.2306 sec/batch
step: 10000/20000...  loss: 1.6906...  0.2256 sec/batch
……step: 19800/20000...  loss: 1.5745...  0.2657 sec/batch
step: 19810/20000...  loss: 1.7075...  0.2326 sec/batch
step: 19820/20000...  loss: 1.5854...  0.3660 sec/batch
step: 19830/20000...  loss: 1.6520...  0.3529 sec/batch
step: 19840/20000...  loss: 1.6153...  0.3434 sec/batch
step: 19850/20000...  loss: 1.6174...  0.3063 sec/batch
step: 19860/20000...  loss: 1.6060...  0.2717 sec/batch
step: 19870/20000...  loss: 1.5775...  0.2627 sec/batch
step: 19880/20000...  loss: 1.6181...  0.2326 sec/batch
step: 19890/20000...  loss: 1.5117...  0.2547 sec/batch
step: 19900/20000...  loss: 1.5613...  0.2356 sec/batch
step: 19910/20000...  loss: 1.6465...  0.2346 sec/batch
step: 19920/20000...  loss: 1.5160...  0.2607 sec/batch
step: 19930/20000...  loss: 1.6922...  0.2306 sec/batch
step: 19940/20000...  loss: 1.8708...  0.2527 sec/batch
step: 19950/20000...  loss: 1.5579...  0.2276 sec/batch
step: 19960/20000...  loss: 1.5850...  0.2376 sec/batch
step: 19970/20000...  loss: 1.6798...  0.2286 sec/batch
step: 19980/20000...  loss: 1.5684...  0.2667 sec/batch
step: 19990/20000...  loss: 1.4981...  0.2617 sec/batch
step: 20000/20000...  loss: 1.5322...  0.3199 sec/batch

训练的数据集展示

1、数据集展示

/*** context_tracking_enter - Inform the context tracking that the CPU is going*                          enter user or guest space mode.** This function must be called right before we switch from the kernel* to user or guest space, when it's guaranteed the remaining kernel* instructions to execute won't use any RCU read side critical section* because this function sets RCU in extended quiescent state.*/
void context_tracking_enter(enum ctx_state state)
{unsigned long flags;/** Repeat the user_enter() check here because some archs may be calling* this from asm and if no CPU needs context tracking, they shouldn't* go further. Repeat the check here until they support the inline static* key check.*/if (!context_tracking_is_enabled())return;/** Some contexts may involve an exception occuring in an irq,* leading to that nesting:* rcu_irq_enter() rcu_user_exit() rcu_user_exit() rcu_irq_exit()* This would mess up the dyntick_nesting count though. And rcu_irq_*()* helpers are enough to protect RCU uses inside the exception. So* just return immediately if we detect we are in an IRQ.*/if (in_interrupt())return;/* Kernel threads aren't supposed to go to userspace */WARN_ON_ONCE(!current->mm);local_irq_save(flags);if ( __this_cpu_read(context_tracking.state) != state) {if (__this_cpu_read(context_tracking.active)) {/** At this stage, only low level arch entry code remains and* then we'll run in userspace. We can assume there won't be* any RCU read-side critical section until the next call to* user_exit() or rcu_irq_enter(). Let's remove RCU's dependency* on the tick.*/if (state == CONTEXT_USER) {trace_user_enter(0);vtime_user_enter(current);}rcu_user_enter();}/** Even if context tracking is disabled on this CPU, because it's outside* the full dynticks mask for example, we still have to keep track of the* context transitions and states to prevent inconsistency on those of* other CPUs.* If a task triggers an exception in userspace, sleep on the exception* handler and then migrate to another CPU, that new CPU must know where* the exception returns by the time we call exception_exit().* This information can only be provided by the previous CPU when it called* exception_enter().* OTOH we can spare the calls to vtime and RCU when context_tracking.active* is false because we know that CPU is not tickless.*/__this_cpu_write(context_tracking.state, state);}local_irq_restore(flags);
}
NOKPROBE_SYMBOL(context_tracking_enter);
EXPORT_SYMBOL_GPL(context_tracking_enter);void context_tracking_user_enter(void)
{context_tracking_enter(CONTEXT_USER);
}
NOKPROBE_SYMBOL(context_tracking_user_enter);/*** context_tracking_exit - Inform the context tracking that the CPU is*                         exiting user or guest mode and entering the kernel.** This function must be called after we entered the kernel from user or* guest space before any use of RCU read side critical section. This* potentially include any high level kernel code like syscalls, exceptions,* signal handling, etc...** This call supports re-entrancy. This way it can be called from any exception* handler without needing to know if we came from userspace or not.*/
void context_tracking_exit(enum ctx_state state)
{unsigned long flags;if (!context_tracking_is_enabled())return;if (in_interrupt())return;local_irq_save(flags);if (__this_cpu_read(context_tracking.state) == state) {if (__this_cpu_read(context_tracking.active)) {/** We are going to run code that may use RCU. Inform* RCU core about that (ie: we may need the tick again).*/rcu_user_exit();if (state == CONTEXT_USER) {vtime_user_exit(current);trace_user_exit(0);}}__this_cpu_write(context_tracking.state, CONTEXT_KERNEL);}local_irq_restore(flags);
}
NOKPROBE_SYMBOL(context_tracking_exit);
EXPORT_SYMBOL_GPL(context_tracking_exit);void context_tracking_user_exit(void)
{context_tracking_exit(CONTEXT_USER);
}
NOKPROBE_SYMBOL(context_tracking_user_exit);

DL之RNN:人工智能为你写代码——基于TF利用RNN算法实现生成编程语言代码(C++语言)、训练测试过程全记录相关推荐

  1. DL之CycleGAN:基于TF利用CycleGAN模型对apple2orange数据集实现图像转换—训练测试过程全记录

    DL之CycleGAN:基于TF利用CycleGAN模型对apple2orange数据集实现图像转换-训练&测试过程全记录 目录 apple2orange数据集 输出结果 训练&测试过 ...

  2. DL之RNN:人工智能为你写小说——基于TF利用RNN算法训练数据集(William Shakespeare的《Coriolanus》)替代你写英语小说短文、训练测试过程全记录

    DL之RNN:基于TF利用RNN算法训练数据集(William Shakespeare的<Coriolanus>)替代你写英语小说短文.测试过程全记录 目录 输出结果 监控模型 训练过程全 ...

  3. DL之RNN:人工智能为你写周董歌词——基于TF利用RNN算法实现【机器为你作词】、训练测试过程全记录

    DL之RNN:人工智能为你写周董歌词--基于TF利用RNN算法实现~机器为你作词~.训练&测试过程全记录 目录 输出结果 模型监控 训练.测试过程全记录 训练的数据集 输出结果 1.test0 ...

  4. DL之RNN:基于TF利用RNN实现简单的序列数据类型(DIY序列数据集)的二分类(线性序列随机序列)

    DL之RNN:基于TF利用RNN实现简单的序列数据类型(DIY序列数据集)的二分类(线性序列&随机序列) 目录 序列数据类型&输出结果 设计思路 序列数据类型&输出结果 1.t ...

  5. DL之pix2pix:基于TF利用pix2pix模型对food_resized数据集实现Auto Color自动上色技术—训练测试过程全记录

    DL之pix2pix:基于TF利用pix2pix模型对food_resized数据集实现Auto Color自动上色技术 目录 训练 food_resized数据集展示 TB过程监控 1.SCALAR ...

  6. DL之SSD:基于tensorflow利用SSD算法实现目标检测(21类)

    DL之SSD:基于tensorflow利用SSD算法实现目标检测(21类) 目录 输出结果 SSD代码 输出结果 VOC_LABELS = {'none': (0, 'Background'),'ae ...

  7. DL之DCGNN:基于TF利用DCGAN实现在MNIST数据集上训练生成新样本

    DL之DCGNN:基于TF利用DCGAN实现在MNIST数据集上训练生成新样本 目录 输出结果 设计思路 实现部分代码 说明:所有图片文件丢失 输出结果 更新-- 设计思路 更新-- 实现部分代码 更 ...

  8. DL之LSTM之MvP:基于TF利用LSTM基于DIY时间训练csv文件数据预测后100个数据(多值预测)状态

    DL之LSTM之MvP:基于TF利用LSTM基于DIY时间训练csv文件数据预测后100个数据(多值预测)状态 目录 数据集csv文件内容 输出结果 设计思路 训练记录全过程 数据集csv文件内容 输 ...

  9. DL之LSTM之UvP:基于TF利用LSTM基于DIY时间训练1200个数据预测后200个数据状态

    DL之LSTM之UvP:基于TF利用LSTM基于DIY时间训练1200个数据预测后200个数据状态 目录 输出结果 设计思路 训练记录全过程 输出结果 设计思路 训练记录全过程 INFO:tensor ...

最新文章

  1. 从语义(semantic)GIS和知识表达谈起
  2. java创建线程的两种方法区别
  3. Oracle系统结构之修改oracle内存参数
  4. 伪语言PHP,PHP语言之伪静态几种做法
  5. 在VS2010中使用wxWidgets 2.9.3
  6. git 拉取远程分支及修改远程仓库地址
  7. 由于问题引起信号ORA-27154无法启动数据库
  8. python爬取qq音乐周杰伦_Python爬取20万条评论,告诉你周杰伦为啥弄崩QQ音乐?
  9. 分别用ToolBar和自定义导航栏实现沉浸式状态栏
  10. Nis服务器主从安装配置
  11. mysql添加普通用户用于管理单一数据库
  12. 实现多租户系统的一点思考
  13. java swt designerpdf_eclipse学习笔记!(4) ----- SWT Designer 下 SWT常用组件
  14. linux java.net.bind,False java.net.BindException:已在Jetty上使用的地...
  15. 【SpringMVC笔记】Ajax 入门(jQuery.ajax)
  16. java局域网发送文件_Java如何实现局域网文件传输代码案例分享
  17. xlsx xlsx-style 设置导出的exce表格样式
  18. 极光推送java demo_极光推送JAVA代码示例
  19. HashSet判断重复项原理
  20. html i标签是什么意思,html中为什么用i标签i/i作小图标

热门文章

  1. 图的邻接表存储与深度优先遍历代码实现
  2. uboot小工具之mkimage
  3. DBA(二):percona软件、innobackupex备份与恢复
  4. HAProxy负载平衡集群实例
  5. dos下编译运行java工程,并解决外部jar包依赖
  6. 一位读者刚刚收割阿里、腾讯等大厂Offer,他说这些话一定要和你们说一下
  7. 7年半老程序员,被现实击垮……
  8. 关于Mybatis,我总结了 10 种通用的写法
  9. Java微基准测试框架JMH
  10. 【手写系列】理解数据库连接池底层原理之手写实现