ClearML/clearml-docs
1
0
Fork 0
mirror of https://github.com/clearml/clearml-docs synced 2025-01-31 06:27:22 +00:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

Fix broken link (#146)

Browse Source
This commit is contained in:
pollfly 2022-01-02 16:21:48 +02:00 committed by GitHub
parent a0b2fa7bab
commit da5360cc5d
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 7 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
docs/fundamentals/pipelines.md
View File

@ -85,10 +85,7 @@ Custom pipelines usually involve cloning template tasks, modifying their paramet
them to queues (for execution by [agents](../clearml_agent.md)). It's possible to create custom logic that controls inputs
(e.g. overriding hyperparameters and artifacts) and acts upon task outputs.
See examples of custom pipelines:
* [Task Piping](../guides/automation/task_piping.md)
* [Manual Random Parameter Search](../guides/automation/manual_random_param_search_example.md)
See [Manual Random Parameter Search](../guides/automation/manual_random_param_search_example.md) example of a custom pipeline.
## Pipeline from Function Decorator

2
docs/fundamentals/task.md
View File

@ -293,7 +293,7 @@ Task.enqueue(
)
```
See enqueue [example](https://github.com/allegroai/clearml/blob/master/examples/automation/task_piping_example.py).
See enqueue [example](https://github.com/allegroai/clearml/blob/master/examples/automation/programmatic_orchestration.py).
### Advanced Remote Execution

10
docs/guides/automation/task_piping.md
View File

@ -1,8 +1,8 @@
---
title: Task Piping
title: Programmatic Orchestration
---
The [task_piping_example.py](https://github.com/allegroai/clearml/blob/master/examples/automation/task_piping_example.py)
The [programmatic_orchestration.py](https://github.com/allegroai/clearml/blob/master/examples/automation/programmatic_orchestration.py)
example demonstrates:
1. Creating an instance of a Task from a template Task.
1. Customizing that instance by changing the value of a parameter
@ -11,10 +11,10 @@ example demonstrates:
This example accomplishes a task pipe by doing the following:
1. Creating the template Task which is named `Toy Base Task`. It must be stored in **ClearML Server** before instances of
it can be created. To create it, run another **ClearML** example script, [toy_base_task.py](https://github.com/allegroai/clearml/blob/master/examples/automation/toy_base_task.py).
it can be created. To create it, run another ClearML example script, [toy_base_task.py](https://github.com/allegroai/clearml/blob/master/examples/automation/toy_base_task.py).
The template Task has a parameter dictionary, which is connected to the Task: `{'Example_Param': 1}`.
1. Back in `task_piping_example.py`, creating a parameter dictionary, which is connected to the Task by calling [Task.connect](../../references/sdk/task.md#connect)
so that the parameters are logged by **ClearML**. The dictionary contains the name of the parameter from the template
1. Back in `programmatic_orchestration.py`, creating a parameter dictionary, which is connected to the Task by calling [Task.connect](../../references/sdk/task.md#connect)
so that the parameters are logged by ClearML. The dictionary contains the name of the parameter from the template
Task that is going to be customized (`Example_Param`), as well as its new value.
1. Creating a Task object referencing the template Task. See [Task.get_task](../../references/sdk/task.md#taskget_task).
1. Creating an instance of the template Task by cloning it.