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Small edits (#162)

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pollfly
2022-01-18 13:23:47 +02:00
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parent 8f4851c5c1
commit e72ca23b54
24 changed files with 96 additions and 93 deletions
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3
docs/guides/distributed/distributed_pytorch_example.md
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@@ -17,8 +17,7 @@ dataset), and reports (uploads) the following to the main Task:
Each Task in a subprocess references the main Task by calling [Task.current_task](../../references/sdk/task#taskcurrent_task), which always returns
the main Task.
When the script runs, it creates an experiment named `test torch distributed`, which is associated with the `examples` project
in the **ClearML Web UI**.
When the script runs, it creates an experiment named `test torch distributed`, which is associated with the `examples` project.
## Artifacts

2
docs/guides/ide/remote_jupyter_tutorial.md
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@@ -32,7 +32,7 @@ clearml-session --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 --packages
* Specify the resource queue `--queue default`.
:::note
There is an option to enter a project name using `--project <name>`. If no project is input, the default project
Enter a project name using `--project <name>`. If no project is input, the default project
name is "DevOps"
:::

2
docs/guides/services/aws_autoscaler.md
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@@ -6,7 +6,7 @@ The ClearML [AWS autoscaler example](https://github.com/allegroai/clearml/blob/m
demonstrates how to use the [`clearml.automation.auto_scaler`](https://github.com/allegroai/clearml/blob/master/clearml/automation/auto_scaler.py)
module to implement a service that optimizes AWS EC2 instance scaling according to a defined instance budget.
It periodically polls your AWS cluster and automatically stops idle instances based on a defined maximum idle time or spins
The autoscaler periodically polls your AWS cluster and automatically stops idle instances based on a defined maximum idle time or spins
up new instances when there aren't enough to execute pending tasks.
## Running the ClearML AWS Autoscaler