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@@ -35,7 +35,7 @@ For more information about how autoscalers work, see [Autoscalers Overview](../.
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* Git Password / Personal Access Token
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* **Max Idle Time** (optional) - Maximum time in minutes that an EC2 instance can be idle before the autoscaler spins it
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down
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* **Workers Prefix** (optional) - A Prefix added to workers’ names, associating them with this autoscaler
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* **Workers Prefix** (optional) - A Prefix added to workers' names, associating them with this autoscaler
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* **Polling Interval** (optional) - Time period in minutes at which the designated queue is polled for new tasks
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* **Base Docker Image** (optional) - Default Docker image in which the ClearML Agent will run. Provide a Docker stored
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in a Docker artifactory so instances can automatically fetch it
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@@ -106,22 +106,22 @@ The autoscaler dashboard shows:
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* Queues and the resource type associated with them
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* Number of current running instances
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* Console: the application log containing everything printed to stdout and stderr appears in the console log. The log
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shows polling results of the autoscaler’s associated queues, including the number of tasks enqueued, and updates EC2
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shows polling results of the autoscaler's associated queues, including the number of tasks enqueued, and updates EC2
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instances being spun up/down.
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:::tip Console Debugging
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To make the autoscaler console log show additional debug information, change an active app instance’s log level to DEBUG:
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1. Go to the app instance task’s page > **CONFIGURATION** tab > **USER PROPERTIES** section
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To make the autoscaler console log show additional debug information, change an active app instance's log level to DEBUG:
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1. Go to the app instance task's page > **CONFIGURATION** tab > **USER PROPERTIES** section
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1. Hover over the section > Click `Edit` > Click `+ADD PARAMETER`
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1. Input `log_level` as the key and `DEBUG` as the value of the new parameter.
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The console’s log level will update in the autoscaler's next iteration.
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The console's log level will update in the autoscaler's next iteration.
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:::
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* Instance log files - Click to access the app instance's logs. This takes you to the app instance task's ARTIFACTS tab,
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which lists the app instance’s logs. In a log’s `File Path` field, click <img src="/docs/latest/icons/ico-download-json.svg" alt="Download" className="icon size-sm space-sm" />
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which lists the app instance's logs. In a log's `File Path` field, click <img src="/docs/latest/icons/ico-download-json.svg" alt="Download" className="icon size-sm space-sm" />
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to download the complete log.
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@@ -48,7 +48,7 @@ For more information about how autoscalers work, see [Autoscalers Overview](../.
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* \+ Add Item - Define another resource type
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* **Autoscaler Instance Name** (optional) - Name for the Autoscaler instance. This will appear in the instance list
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* **Max Idle Time** (optional) - Maximum time in minutes that a VM instance can be idle before the autoscaler spins it down
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* **Workers Prefix** (optional) - A Prefix added to workers’ names, associating them with this autoscaler
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* **Workers Prefix** (optional) - A Prefix added to workers' names, associating them with this autoscaler
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* **Polling Interval** (optional) - Time period in minutes at which the designated queue is polled for new tasks
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* **Apply Task Owner Vault Configuration** - Select to apply values from the task owner's [ClearML vault](../webapp_profile.md#configuration-vault) when executing the task
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* **Warn if more than one instance is executing the same task** - Select to print warning to console when multiple
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@@ -91,22 +91,22 @@ The autoscaler dashboard shows:
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* Queues and the resource type associated with them
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* Number of current running instances
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* Console: the application log containing everything printed to stdout and stderr appears in the console log. The log
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shows polling results of the autoscaler’s associated queues, including the number of tasks enqueued, and updates VM
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shows polling results of the autoscaler's associated queues, including the number of tasks enqueued, and updates VM
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instances being spun up/down
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:::tip Console Debugging
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To make the autoscaler console log show additional debug information, change an active app instance’s log level to DEBUG:
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1. Go to the app instance task’s page > **CONFIGURATION** tab > **USER PROPERTIES** section
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To make the autoscaler console log show additional debug information, change an active app instance's log level to DEBUG:
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1. Go to the app instance task's page > **CONFIGURATION** tab > **USER PROPERTIES** section
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1. Hover over the section > Click `Edit` > Click `+ADD PARAMETER`
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1. Input `log_level` as the key and `DEBUG` as the value of the new parameter.
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The console’s log level will update in the autoscaler's next iteration.
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The console's log level will update in the autoscaler's next iteration.
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:::
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* Instance log files - Click to access the app instance's logs. This takes you to the app instance task's ARTIFACTS tab,
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which lists the app instance’s logs. In a log’s `File Path` field, click <img src="/docs/latest/icons/ico-download-json.svg" alt="Download" className="icon size-sm space-sm" />
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which lists the app instance's logs. In a log's `File Path` field, click <img src="/docs/latest/icons/ico-download-json.svg" alt="Download" className="icon size-sm space-sm" />
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to download the complete log.
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:::tip EMBEDDING CLEARML VISUALIZATION
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@@ -21,7 +21,7 @@ For more information about how autoscalers work, see [Autoscalers Overview](../.
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* **Machine Specification**
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* GPU Type - NVIDIA GPU on the machine
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* Number of GPUs - Number of GPUs in the cloud machine
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* The rest of the machine’s available resources are dependent on the number and type of GPUs specified above:
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* The rest of the machine's available resources are dependent on the number and type of GPUs specified above:
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* vCPUs - Number of vCPUs in the cloud machine
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* Memory - RAM available to the cloud machine
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* Hourly Price - Machine's hourly rate
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@@ -65,14 +65,14 @@ The GPU Compute dashboard shows:
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* Console - The log shows updates of cloud instances being spun up/down.
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:::tip Console Debugging
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To make the autoscaler console log show additional debug information, change an active app instance’s log level to DEBUG:
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1. Go to the app instance task’s page > **CONFIGURATION** tab > **USER PROPERTIES** section
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To make the autoscaler console log show additional debug information, change an active app instance's log level to DEBUG:
|
||||
1. Go to the app instance task's page > **CONFIGURATION** tab > **USER PROPERTIES** section
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||||
1. Hover over the section > Click `Edit` > Click `+ADD PARAMETER`
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1. Input `log_level` as the key and `DEBUG` as the value of the new parameter.
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The console’s log level will update in the autoscaler's next iteration.
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The console's log level will update in the autoscaler's next iteration.
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:::
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:::tip EMBEDDING CLEARML VISUALIZATION
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@@ -25,8 +25,8 @@ limits.
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sample a different set of hyperparameters values
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* **Optimization Configuration**
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* Optimization Method - The optimization strategy to employ (e.g. random, grid, hyperband)
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* Optimization Objective Metric’s Title - Title of metric to optimize
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* Optimization Objective Metric’s Series - Metric series (variant) to optimize
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* Optimization Objective Metric's Title - Title of metric to optimize
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* Optimization Objective Metric's Series - Metric series (variant) to optimize
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* Optimization Objective Trend - Choose the optimization target, whether to maximize or minimize the value of the
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metric specified above
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* **Execution Queue** - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which
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@@ -39,7 +39,7 @@ limits.
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* Step Size - Step size between samples
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* Discrete Parameters - A set of values to sample
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* Values - Comma separated list of values to sample
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* Name - The original task’s configuration parameter name (including section name e.g. `Args/lr`) <br/>
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* Name - The original task's configuration parameter name (including section name e.g. `Args/lr`) <br/>
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:::tip Hydra Parameters
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For experiments using Hydra, input parameters from the OmegaConf in the following format:
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`Hydra/<param>`. Specify `<param>` using dot notation. For example, if your OmegaConf looks like this:
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@@ -54,7 +54,7 @@ Access app instance actions, by right-clicking an instance, or through the menu
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* **Rename** - Rename the instance
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* **Configuration** - View an instance’s configuration
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* **Configuration** - View an instance's configuration
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* **Export Configuration** - Export the app instance configuration as a JSON file, which you can later import to create
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a new instance with the same configuration
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* **Stop** - Shutdown the instance
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@@ -52,7 +52,7 @@ The app monitors your workspace for trigger events and will launch copies of the
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## Dashboard
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The Trigger Manager app instance's dashboard displays its console log. The log shows the instance’s activity: periodic
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The Trigger Manager app instance's dashboard displays its console log. The log shows the instance's activity: periodic
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polling, and events triggered
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@@ -32,7 +32,7 @@ The models table contains the following columns:
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| Column | Description | Type |
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|---|---|---|
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| **RUN** | Pipeline run identifier | String |
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| **VERSION** | The pipeline version number. Corresponds to the [PipelineController](../../references/sdk/automation_controller_pipelinecontroller.md#class-pipelinecontroller)'s and [PipelineDecorator](../../references/sdk/automation_controller_pipelinecontroller.md#class-automationcontrollerpipelinedecorator)’s `version` parameter | Version string |
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| **VERSION** | The pipeline version number. Corresponds to the [PipelineController](../../references/sdk/automation_controller_pipelinecontroller.md#class-pipelinecontroller)'s and [PipelineDecorator](../../references/sdk/automation_controller_pipelinecontroller.md#class-automationcontrollerpipelinedecorator)'s `version` parameter | Version string |
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| **TAGS** | Descriptive, user-defined, color-coded tags assigned to run. | Tag |
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| **STATUS** | Pipeline run's status. See a list of the [task states and state transitions](../../fundamentals/task.md#task-states). For Running, Failed, and Aborted runs, you will also see a progress indicator next to the status. See [here](../../pipelines/pipelines.md#tracking-pipeline-progress). | String |
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| **USER** | User who created the run. | String |
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@@ -91,9 +91,9 @@ The following table customizations are saved on a per-pipeline basis:
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## Create Run
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To launch a new run for a pipeline, click **+ NEW RUN** on the top left of the page. This opens a **NEW RUN** modal, where
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you can set the run’s parameters. By default, the fields are pre-filled with the last run’s values.
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you can set the run's parameters. By default, the fields are pre-filled with the last run's values.
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Click **Advanced configurations** to change the run’s execution queue.
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Click **Advanced configurations** to change the run's execution queue.
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@@ -17,7 +17,7 @@ Each step shows:
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* Step log button - Hover over the step and click <img src="/docs/latest/icons/ico-console.svg" alt="console" className="icon size-md space-sm" />
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to view the step's [details panel](#run-and-step-details-panel)
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While the pipeline is running, the steps’ details and colors are updated.
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While the pipeline is running, the steps' details and colors are updated.
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## Run and Step Details
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### Run and Step Info
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@@ -30,24 +30,24 @@ On the right side of the pipeline run panel, view the **RUN INFO** which shows:
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To view a run’s complete information, click **Full details**, which will open the pipeline’s controller [task page](../webapp_exp_track_visual.md).
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View each list’s complete details in the pipeline task’s corresponding tabs:
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To view a run's complete information, click **Full details**, which will open the pipeline's controller [task page](../webapp_exp_track_visual.md).
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View each list's complete details in the pipeline task's corresponding tabs:
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* **PARAMETERS** list > **CONFIGURATION** tab
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* **METRICS** list > **SCALARS** tab
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* **ARTIFACTS** and **MODELS** lists > **ARTIFACTS** tab
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To view a specific step’s information, click the step on the execution graph, and the info panel displays its **STEP INFO**.
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The panel displays the step’s name, task type, and status, as well as its parameters, metrics, artifacts, and models.
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To view a specific step's information, click the step on the execution graph, and the info panel displays its **STEP INFO**.
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The panel displays the step's name, task type, and status, as well as its parameters, metrics, artifacts, and models.
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To return to viewing the run’s information, click the pipeline graph, outside any of the steps.
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To return to viewing the run's information, click the pipeline graph, outside any of the steps.
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### Run and Step Details Panel
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Click on **DETAILS** on the top left of the info panel to view the pipeline controller's details panel. To view a step’s
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Click on **DETAILS** on the top left of the info panel to view the pipeline controller's details panel. To view a step's
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details panel, click **DETAILS** and then click on a step node, or hover over a step node and click <img src="/docs/latest/icons/ico-console.svg" alt="details" className="icon size-md space-sm" />.
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The details panel includes three tabs:
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@@ -61,7 +61,7 @@ The details panel includes three tabs:
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* **Code** - For pipeline steps generated from functions using either [`PipelineController.add_function_step`](../../references/sdk/automation_controller_pipelinecontroller.md#add_function_step)
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or [`PipelineDecorator.component`](../../references/sdk/automation_controller_pipelinecontroller.md#pipelinedecoratorcomponent),
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you can view the selected step’s code.
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you can view the selected step's code.
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@@ -198,7 +198,7 @@ first. Use the viewer / player to inspect images, audio, video samples and do an
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<img src="/docs/latest/icons/ico-circle-newer.svg" alt="Right arrow" className="icon size-md space-sm" /> (new images), or <img src="/docs/latest/icons/ico-circle-newest.svg" alt="right arrow, newest image" className="icon size-md space-sm" /> (newest images).
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* Click <img src="/docs/latest/icons/ico-disconnect.svg" alt="Sync selection" className="icon size-md space-sm" /> in
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order to synchronize iteration and metric selection across experiments. For example, if you select a metric for
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one experiment’s debug samples, the same metric will be automatically selected for the rest of the experiments in the comparison.
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one experiment's debug samples, the same metric will be automatically selected for the rest of the experiments in the comparison.
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@@ -9,7 +9,7 @@ to monitor experimentation, and more). The experiments table's auto-refresh allo
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View the experiments table in table view <img src="/docs/latest/icons/ico-table-view.svg" alt="Table view" className="icon size-md space-sm" />
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or in details view <img src="/docs/latest/icons/ico-split-view.svg" alt="Details view" className="icon size-md space-sm" />,
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using the buttons on the top left of the page. Use the table view for a comparative view of your experiments according
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to columns of interest. Use the details view to access a selected experiment’s details, while keeping the experiment list
|
||||
to columns of interest. Use the details view to access a selected experiment's details, while keeping the experiment list
|
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in view. Details view can also be accessed by double-clicking a specific experiment in the table view to open its details view.
|
||||
|
||||
You can archive experiments so the experiments table doesn't get too cluttered. Click **OPEN ARCHIVE** on the top of the
|
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|
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@@ -43,7 +43,7 @@ The comparison tabs provides the following views:
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||||
|
||||
In the **Details**, **Network**, and **Scalars** (Values mode) tabs, you can view differences in the models' nominal
|
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values. **Details** displays the models' general information, labels, and metadata. **Network** displays the models'
|
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configuration. **Scalars** (in Values mode) displays the models’ scalar values (min, max, or last). Each model's
|
||||
configuration. **Scalars** (in Values mode) displays the models' scalar values (min, max, or last). Each model's
|
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information is displayed in a column, so each field is lined up side-by-side.
|
||||
|
||||
The model on the left is used as the base model, to which the other models are compared. You can set a new base model
|
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@@ -67,7 +67,7 @@ models are combined.
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|
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|
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The rest of the plots which can’t be merged are displayed separately for each model.
|
||||
The rest of the plots which can't be merged are displayed separately for each model.
|
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|
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|
||||
|
||||
|
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@@ -8,7 +8,7 @@ view model details, and modify, publish, archive, tag, and move models to other
|
||||
View the models table in table view <img src="/docs/latest/icons/ico-table-view.svg" alt="Table view" className="icon size-md space-sm" />
|
||||
or in details view <img src="/docs/latest/icons/ico-split-view.svg" alt="Details view" className="icon size-md space-sm" />,
|
||||
using the buttons on the top left of the page. Use the table view for a comparative view of your models according to
|
||||
columns of interest. Use the details view to access a selected model’s details, while keeping the model list in view.
|
||||
columns of interest. Use the details view to access a selected model's details, while keeping the model list in view.
|
||||
Details view can also be accessed by double-clicking a specific model in the table view to open its details view.
|
||||
|
||||
You can archive models so the models table doesn't get too cluttered. Click **OPEN ARCHIVE** on the top of the
|
||||
|
||||
@@ -123,7 +123,7 @@ pending invitations are displayed.
|
||||
|
||||
### Leaving a Workspace
|
||||
|
||||
You can leave any workspace you’ve previously joined (except your personal workspace).
|
||||
You can leave any workspace you've previously joined (except your personal workspace).
|
||||
|
||||
When leaving a workspace, you lose access to its resources (tasks, models, etc.) and your previously created access
|
||||
credentials to that workspace are revoked. Tasks and associated artifacts that you logged to that workspace will remain
|
||||
@@ -223,7 +223,7 @@ To remove a user from a workspace:
|
||||
1. Hover over the user's row on the table
|
||||
1. Click the <img src="/docs/latest/icons/ico-trash.svg" alt="Trash can" className="icon size-md" /> button
|
||||
|
||||
Removed users lose access to your workspace’s resources (tasks, models, etc.) and their existing access credentials are
|
||||
Removed users lose access to your workspace's resources (tasks, models, etc.) and their existing access credentials are
|
||||
revoked. Tasks and associated artifacts logged to your workspace by a removed user will remain in your workspace. The
|
||||
user can only rejoin your workspace when you re-invite them.
|
||||
|
||||
|
||||
@@ -6,12 +6,12 @@ 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.
|
||||
|
||||

|
||||
|
||||
If a project has any subprojects, clicking its folder will open its own project page. Access the projects’ top-level
|
||||
If a project has any subprojects, clicking its folder will open its own project page. Access the projects' top-level
|
||||
contents (i.e. experiments, models etc.) via the folder with the bracketed (`[ ]`) project name.
|
||||
|
||||
If a project does not contain any subprojects, clicking on its folder will open its experiment table (or [Project Overview](webapp_project_overview.md)
|
||||
|
||||
@@ -14,7 +14,7 @@ title: Reports
|
||||
|
||||
<br/>
|
||||
|
||||
With ClearML’s Reports you can write up notes, experiment findings, or really anything you want. You can create reports
|
||||
With ClearML's Reports you can write up notes, experiment findings, or really anything you want. You can create reports
|
||||
in any of your ClearML projects.
|
||||
|
||||
In addition to its main document, a report also contains a description field, which will appear in the report's card in
|
||||
@@ -76,7 +76,7 @@ A standard embed code is formatted like this:
|
||||
```
|
||||
|
||||
The `src` parameter is made up of the following components:
|
||||
* Your web server’s URL (e.g. `app.clear.ml`)
|
||||
* Your web server's URL (e.g. `app.clear.ml`)
|
||||
* `/widget/` - The endpoint that serves the embedded data.
|
||||
* The query parameters for your visualization (the path and query are separated by a question mark `?`)
|
||||
|
||||
@@ -105,7 +105,7 @@ resources will be displayed. See [Dynamic Queries](#dynamic-queries) below.
|
||||
* `timestamp` - Time from start
|
||||
* `iso_time` - Wall time
|
||||
* `metrics` - Metric name
|
||||
* `variants` - Variant’s name
|
||||
* `variants` - Variant's name
|
||||
* `company` - Workspace ID. Applicable to the ClearML hosted service, for embedding content from a different workspace
|
||||
* `light` - add parameter to switch visualization to light theme
|
||||
|
||||
|
||||
@@ -58,14 +58,14 @@ The worker table shows the currently available workers and their current executi
|
||||
* Training iteration.
|
||||
|
||||
|
||||
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:
|
||||
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:
|
||||
* CPU and GPU Usage
|
||||
* Memory Usage
|
||||
* Video Memory Usage
|
||||
* Network Usage.
|
||||
|
||||
The worker’s details panel includes the following two tabs:
|
||||
The worker's details panel includes the following two tabs:
|
||||
* **INFO** - worker information:
|
||||
* Worker Name
|
||||
* Update time - The last time the worker reported data
|
||||
@@ -97,7 +97,7 @@ The queue table shows the following queue information:
|
||||
To create a new queue - Click **+ NEW QUEUE** (top left).
|
||||
|
||||
Hover over a queue and click <img src="/docs/latest/icons/ico-copy-to-clipboard.svg" alt="Copy" className="icon size-md space-sm" />
|
||||
to copy the queue’s ID.
|
||||
to copy the queue's ID.
|
||||
|
||||

|
||||
|
||||
@@ -107,24 +107,24 @@ to access queue actions:
|
||||

|
||||
|
||||
* Delete - Delete the queue. Any pending tasks will be dequeued.
|
||||
* Rename - Change the queue’s name
|
||||
* Rename - Change the queue's name
|
||||
* Clear - Remove all pending tasks from the queue
|
||||
* Custom action - The ClearML Enterprise Server provides a mechanism to define your own custom actions, which will
|
||||
appear in the context menu. See [Custom UI Context Menu Actions](../deploying_clearml/clearml_server_config.md#custom-ui-context-menu-actions)
|
||||
|
||||
Clicking on a queue will open the queue’s details panel and replace the graphs with that queue’s statistics.
|
||||
Clicking on a queue will open the queue's details panel and replace the graphs with that queue's statistics.
|
||||
|
||||
The queue’s details panel includes the following two tabs:
|
||||
The queue's details panel includes the following two tabs:
|
||||
* **EXPERIMENTS** - A list of experiments in the queue. You can reorder and remove enqueued experiments. See
|
||||
[Controlling Queue Contents](#controlling-queue-contents).
|
||||
* **WORKERS** - Information about the workers assigned to the queue:
|
||||
* Name - Worker name
|
||||
* IP - Worker’s IP
|
||||
* IP - Worker's IP
|
||||
* Currently Executing - The experiment currently being executed by the worker
|
||||
|
||||
### Controlling Queue Contents
|
||||
|
||||
Click on an experiment’s menu button <img src="/docs/latest/icons/ico-dots-v-menu.svg" alt="Dot menu" className="icon size-md space-sm" />
|
||||
Click on an experiment's menu button <img src="/docs/latest/icons/ico-dots-v-menu.svg" alt="Dot menu" className="icon size-md space-sm" />
|
||||
in the **EXPERIMENTS** tab to reorganize your queue:
|
||||
|
||||

|
||||
|
||||
Reference in New Issue
Block a user