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pollfly
2023-01-25 13:25:29 +02:00
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31 changed files with 51 additions and 51 deletions
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2
docs/webapp/applications/apps_aws_autoscaler.md
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@@ -148,7 +148,7 @@ configuration [here](#aws-iam-restricted-access-policy).
1. Complete creating the policy
1. Attach the created policy to an IAM user/group whose credentials will be used in the autoscaler app (you can create a
new IAM user/group for this purpose)
1. Obtain a set of AWS IAM credentials for the user/group to which you have attached the created policy in the previous step
1. Obtain a set of AWS IAM credentials for the user/group to which you have attached the created policy in the previous step
### AWS IAM Restricted Access Policy

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docs/webapp/applications/apps_gcp_autoscaler.md
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@@ -6,7 +6,7 @@ title: GCP Autoscaler
The ClearML GCP Autoscaler App is available under the ClearML Pro plan
:::
The GCP Autoscaler Application optimizes GCP VM instance usage according to a user defined instance budget: Define your
The GCP Autoscaler Application optimizes GCP VM instance usage according to a user defined instance budget: Define your
budget by specifying the type and amount of available compute resources.
Each resource type is associated with a ClearML [queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) whose

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docs/webapp/applications/apps_overview.md
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@@ -16,7 +16,7 @@ ClearML provides the following applications:
* [**GPU Compute**](apps_gpu_compute.md) - Launch cloud machines on demand and optimize their usage according to a
defined budget--no previous setup necessary
* [**AWS Autoscaler**](apps_aws_autoscaler.md) - Optimize AWS EC2 instance usage according to a defined instance budget
* [**GCP Autoscaler**](apps_gcp_autoscaler.md) - Optimize GCP instance usage according to a defined instance budget
* [**GCP Autoscaler**](apps_gcp_autoscaler.md) - Optimize GCP instance usage according to a defined instance budget
* [**Hyperparameter Optimization**](apps_hpo.md) - Find the parameter values that yield the best performing models
* **Nvidia Clara** - Train models using Nvidia’s Clara framework
* [**Project Dashboard**](apps_dashboard.md) - High-level project monitoring with Slack alerts

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docs/webapp/webapp_exp_table.md
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@@ -132,7 +132,7 @@ The following table describes the actions that can be done from the experiments
that allow each operation.
Access these actions with the context menu in any of the following ways:
* In the experiments table, right-click an experiment or hover over an experiment and click <img src="/docs/latest/icons/ico-dots-v-menu.svg" alt="Dot menu" className="icon size-md space-sm" />
* In the experiments table, right-click an experiment or hover over an experiment and click <img src="/docs/latest/icons/ico-dots-v-menu.svg" alt="Dot menu" className="icon size-md space-sm" />
* In an experiment info panel, click the menu button <img src="/docs/latest/icons/ico-bars-menu.svg" alt="Bar menu" className="icon size-md space-sm" />
| Action | Description | States Valid for the Action | State Transition |

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docs/webapp/webapp_projects_page.md
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@@ -6,7 +6,7 @@ Use the Projects Page for project navigation and management.
Your projects are displayed like folders: click a folder to access its contents. The Projects Page shows the top-level
projects in your workspace. Projects that contain nested subprojects are identified by an extra nested project tab.
An exception is the **All Experiments** folder, which shows all projects’ and subprojects’ contents in a single, flat
An exception is the **All Experiments** folder, which shows all projects’ and subprojects’ contents in a single, flat
list.
![Projects page](../img/webapp_project_page.png)

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docs/webapp/webapp_workers_queues.md
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@@ -24,7 +24,7 @@ The worker table shows the currently available workers and their current executi
Clicking on a worker will open the worker’s details panel and replace the graph with that worker’s resource utilization
information. The resource metric being monitored can be selected through the menu at the graph’s top left corner:
information. The resource metric being monitored can be selected through the menu at the graph’s top left corner:
* CPU and GPU Usage
* Memory Usage
* Video Memory Usage
@@ -37,7 +37,7 @@ The worker’s details panel includes the following two tabs:
* Current Experiment - The experiment currently being executed by the worker
* Experiment Runtime - How long the currently executing experiment has been running
* Experiment iteration - The last reported training iteration for the experiment
* **QUEUES** - information about the queues that the worker is assigned to:
* **QUEUES** - Information about the queues that the worker is assigned to:
* Queue - The name of the Queue
* Next experiment - The next experiment available in this queue
* In Queue - The number of experiments currently enqueued