Adjust docker image versions in a couple more places

This commit is contained in:
Alex Burlacu 2023-08-24 19:03:24 +03:00
parent e1e3c84a8d
commit f1e9266075
2 changed files with 9 additions and 9 deletions

View File

@ -230,20 +230,20 @@ Notice: with `--detached` flag, the *clearml-agent* will run in the background
clearml-agent daemon --detached --queue default --docker
```
Example: spin two agents, one per gpu on the same machine, with default `nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04`
Example: spin two agents, one per gpu on the same machine, with default `nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04`
docker:
```bash
clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
clearml-agent daemon --detached --gpus 1 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
clearml-agent daemon --detached --gpus 1 --queue default --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
```
Example: spin two agents, pulling from dedicated `dual_gpu` queue, two GPUs per agent, with default
`nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04` docker:
`nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04` docker:
```bash
clearml-agent daemon --detached --gpus 0,1 --queue dual_gpu --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
clearml-agent daemon --detached --gpus 0,1 --queue dual_gpu --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
```
##### Starting the ClearML Agent - Priority Queues
@ -268,7 +268,7 @@ To stop a **ClearML Agent** running in the background, run the same command line
appended. For example, to stop the first of the above shown same machine, single gpu agents:
```bash
clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 --stop
clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04 --stop
```
### How do I create an experiment on the ClearML Server? <a name="from-scratch"></a>

View File

@ -491,8 +491,8 @@ sdk {
# target_format: format used to encode contents before writing into the target file. Supported values are json,
# yaml, yml and bytes (in which case the file will be written in binary mode). Default is text mode.
# overwrite: overwrite the target file in case it exists. Default is true.
# mode: set the file mode after writing. use an integer value or a string (e.g. 600 / 777 etc.)
#
# mode: file-system mode to be applied to the file after its creation. The mode string will be parsed into an
# integer (e.g. "0o777" for -rwxrwxrwx)
# Example:
# files {
# myfile1 {