alibaba / alibaba/x-deeplearning
分布式提交报错
- Dominant language
- PureBasic
- Stars
- 4.3k
- Forks
- 1k
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Description
container日志报错信息如下:
2019-04-24 18:17:01,747 INFO xdl.ContainerBase: pull image [docker pull registry.cn-hangzhou.aliyuncs.com/xdl/xdl:ubuntu-cpu-mxnet1.3]
2019-04-24 18:17:02,533 INFO xdl.ContainerBase: cmd [docker pull registry.cn-hangzhou.aliyuncs.com/xdl/xdl:ubuntu-cpu-mxnet1.3] cost 786 ms status [0]
2019-04-24 18:17:02,534 INFO xdl.ContainerBase: pull image cost 787 ms
2019-04-24 18:17:04,165 INFO xdl.ContainerRunner$ContainerSignalHandler: Container is killed by signal:15.
2019-04-24 18:17:04,165 INFO xdl.ContainerBase: stop container cmd [docker stop -t 30 xdl_application_1556099741086_0003_scheduler_0_000002]
以上没有明确报错信息,只提示killed,请教下是什么原因呢?
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reading the container lifecycle around xdl.ContainerBase and xdl.ContainerRunner$ContainerSignalHandler, then inspect the distributed submission and container logs surrounding the SIGTERM. Reproduce the submission if possible and determine what initiates the docker stop command; done means the cause of the termination is identified and a verifiable fix or diagnostic is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker
- Domain
- devops, distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100