Question

当我将一个小的Tensorflow培训作为一项任务提交时，它会启动其他线程。当我按下Ctrl+C并抬高KeyboardInterrupt时，我的任务已关闭，但基础线程未清理，训练继续进行。

最初，我以为这是Tensorflow的问题（不是清洗线程），但是经过测试，我了解到问题来自Dask，这可能不会在任务函数中进一步填充SIGTERM信号。我的问题是，如何设置Dask以将SIGTERM信号填充到正在运行的任务？

所需流量示例：

本地进程->按Ctrl + C-> Dask调度程序-> Dask worker-> SIGTERM信号->通过Tensorflow训练运行单个任务。

谢谢。

P.S如果您需要其他信息，请询问。

更新：

代码示例：

c = Client('<remote-scheduler>')

def task():
  # tensorflow training
  model = ...
  model.fit(x_train, y_train)

training = c.submit(task)
training.result()

现在，在训练过程中，当我按Ctrl+C时，任务被取消，但tensorflow线程/进程仍然存在。

更新2 ： ps -f -u [username]命令输出。

集群集群（1个调度程序，1个工作器，同一台服务器），没有正在运行的任务：

UID        PID  PPID  C STIME TTY          TIME CMD
vladysl+ 16547     1  0 12:40 ?        00:00:00 /lib/systemd/systemd --user
vladysl+ 16550 16547  0 12:40 ?        00:00:00 (sd-pam)
vladysl+ 16805 16311  0 12:40 ?        00:00:00 sshd: vladyslav@pts/45
vladysl+ 16811 16805  0 12:40 pts/45   00:00:00 -bash
vladysl+ 18946 16811  4 12:41 pts/45   00:00:24 /home/vladyslav/miniconda3/envs/py3.6/bin/python /home/vladyslav/miniconda3/envs/py3.6/bin/dask-scheduler --port 42001
vladysl+ 22284 22175  0 12:46 ?        00:00:00 sshd: vladyslav@pts/38
vladysl+ 22285 22284  0 12:46 pts/38   00:00:00 -bash
vladysl+ 23138 16811  1 12:48 pts/45   00:00:03 /home/vladyslav/miniconda3/envs/py3.6/bin/python /home/vladyslav/miniconda3/envs/py3.6/bin/dask-worker localhost:42001 --worker-port 420011 --memory-limit $
vladysl+ 23143 23138  0 12:48 pts/45   00:00:00 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.semaphore_tracker import main;main(11)
vladysl+ 23145 23138  0 12:48 pts/45   00:00:00 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.forkserver import main; main(15, 16, ['distributed'], **{'sys_path': ['/home/vlady$
vladysl+ 23151 23145 99 12:48 pts/45   00:03:48 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.forkserver import main; main(15, 16, ['distributed'], **{'sys_path': ['/home/vlady$
vladysl+ 23536 23151  0 12:49 pts/45   00:00:00 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.semaphore_tracker import main;main(25)
vladysl+ 26150 22285  0 12:51 pts/38   00:00:00 ps -f -u vladyslav

任务运行期间：

UID        PID  PPID  C STIME TTY          TIME CMD
vladysl+ 16547     1  0 12:40 ?        00:00:00 /lib/systemd/systemd --user
vladysl+ 16811 16805  0 12:40 pts/45   00:00:00 -bash
vladysl+ 18946 16811  4 12:41 pts/45   00:00:30 /home/vladyslav/miniconda3/envs/py3.6/bin/python /home/vladyslav/miniconda3/envs/py3.6/bin/dask-scheduler --port 42001
vladysl+ 22285 22284  0 12:46 pts/38   00:00:00 -bash
vladysl+ 23138 16811  1 12:48 pts/45   00:00:06 /home/vladyslav/miniconda3/envs/py3.6/bin/python /home/vladyslav/miniconda3/envs/py3.6/bin/dask-worker localhost:42001 --worker-port 420011 --memory-limit $
vladysl+ 23143 23138  0 12:48 pts/45   00:00:00 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.semaphore_tracker import main;main(11)
vladysl+ 23145 23138  0 12:48 pts/45   00:00:00 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.forkserver import main; main(15, 16, ['distributed'], **{'sys_path': ['/home/vlady$
vladysl+ 23151 23145 99 12:48 pts/45   00:07:55 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.forkserver import main; main(15, 16, ['distributed'], **{'sys_path': ['/home/vlady$
vladysl+ 23536 23151  0 12:49 pts/45   00:00:00 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.semaphore_tracker import main;main(25)
vladysl+ 27079 22285  0 12:54 pts/38   00:00:00 ps -f -u vladyslav

按Ctrl+C后，任务已取消，但张量流继续工作：

UID        PID  PPID  C STIME TTY          TIME CMD
vladysl+ 16811 16805  0 12:40 pts/45   00:00:00 -bash
vladysl+ 18946 16811  4 12:41 pts/45   00:00:31 /home/vladyslav/miniconda3/envs/py3.6/bin/python /home/vladyslav/miniconda3/envs/py3.6/bin/dask-scheduler --port 42001
vladysl+ 22285 22284  0 12:46 pts/38   00:00:00 -bash
vladysl+ 23138 16811  1 12:48 pts/45   00:00:06 /home/vladyslav/miniconda3/envs/py3.6/bin/python /home/vladyslav/miniconda3/envs/py3.6/bin/dask-worker localhost:42001 --worker-port 420011 --memory-limit $
vladysl+ 23143 23138  0 12:48 pts/45   00:00:00 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.semaphore_tracker import main;main(11)
vladysl+ 23145 23138  0 12:48 pts/45   00:00:00 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.forkserver import main; main(15, 16, ['distributed'], **{'sys_path': ['/home/vlady$
vladysl+ 23151 23145 99 12:48 pts/45   00:09:32 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.forkserver import main; main(15, 16, ['distributed'], **{'sys_path': ['/home/vlady$
vladysl+ 23536 23151  0 12:49 pts/45   00:00:00 /home/vladyslav/miniconda3/envs/py3.6/bin/python -c from multiprocessing.semaphore_tracker import main;main(25)
vladysl+ 27117 22285  0 12:54 pts/38   00:00:00 ps -f -u vladyslav

您可以看到没有新内容出现。

Answer 1

Dask不支持从客户端传播信号到运行任务的工作人员。

将SIGTERM发送给正在运行的任务，快速分发

1 个答案: