/GPU-Task-Manager

A simple GPU task manager that can automatically run user-defined tasks on available GPUs.

Primary LanguagePython

GPU Task Manager

A simple GPU task manager that can automatically run user-defined tasks on available GPUs.

Updates

  • [2021.11.20] A whole new design which includes background server and user-friendly client.

TODO

  • restore unfinised tasks when started
  • installable service
  • show server state

Dependencies

Usages

GPU-Task-Manager includes server and client. The server manages reading and running tasks. The client supports: display task state, submit new tasks, delete tasks and modify the priority of tasks.

Configuration

  • config.py
DELAY = 60
LOG_PATH = ""
  • It is recommended to configure alias in your .bashrc. Assuming that you have downloaded this repo in to root.
alias gpu-task-server='bash root/GPU-Task-Mananer/main.sh'
alias gpu-task-client='python root/GPU-Task-Manager/client.py'

Server

Suppose that alias has been configured , then you can start, stop, and restart server by:

gpu-task-serer [start|stop|restart]

You can also check thet running state of server by

gpu-task-server show

In case that the server is unexpectedly down, you can periodically start server by crontab. Note that if server is running, the start command does nothing but print messages of the running server.

0 * * * * bash /path/to/GPU-Task-Manager/main.sh start

Also, you should source the python virtual env in main.sh if you are using conda.

source ~/miniconda3/etc/profile.d/conda.sh
conda activate XXX

Client

  • show task state
gpu-task-client
  • show first n tasks
gpu-task-client -m n
  • show task state every 3 seconds
gpu-task-client -l 3
gpu-task-client --loop 3
  • show task by state
gpu-task-client -s running
  • submit task from command line
    • -c --command: task command
    • -n --num-gpus: number of gpus required, default 1
    • -e --exclude-gpus: exclude gpus
gpu-task-client -c bash train.sh
gpu-task-client -c bash train.sh -n 1
gpu-task-client -c bash train.sh -n 4
gpu-task-client --command bash train.sh --num-gpus 4
gpu-task-client --command bash train.sh --num-gpus 4 -e 0 1 2 3
  • submit task from file
    • --file-path: task file path
    • -e --exclude-gpus: exclude gpus for all tasks in task file
    • task file definition (default num_gpus=1)
    command(;num_gpus)
echo Hi;
echo Hi;4
...
  • delete task
    • -d --delete: delete task by task id
gpu-task-client -d 1
  • update task priority
    • -p --update-priority: set new task priority by task id
gpu-task-client -p 1 10

It will set the priority of task with ID 1 to 10. This feature is useful when you need to change the execution order of task. Note that smaller value (>0) means higher priority.