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pollfly
2022-01-24 15:42:17 +02:00
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docs/guides/ide/remote_jupyter_tutorial.md
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@@ -19,17 +19,19 @@ where a `clearml-agent` will run and spin an instance of the remote session.
### Step 1: Launch `clearml-session`
Execute the `clearml-session` command with the following command line options:
Execute the following command:
```bash
clearml-session --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 --packages "clearml" "tensorflow>=2.2" "keras" --queue default
```
* Enter a docker image `--docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04`
This sets the following arguments:
* `--docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04` - Docker image
* Enter required python packages `--packages "clearml" "tensorflow>=2.2" "keras"`
* `--packages "clearml" "tensorflow>=2.2" "keras"` - Required Python packages
* Specify the resource queue `--queue default`.
* `--queue default` - Selected queue to launch the session from
:::note
Enter a project name using `--project <name>`. If no project is input, the default project