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69 lines
2.6 KiB
Markdown
69 lines
2.6 KiB
Markdown
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---
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title: jsonargparse
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---
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:::tip
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If you are not already using ClearML, see [Getting Started](../getting_started/ds/ds_first_steps.md) for setup
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instructions.
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:::
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[jsonargparse](https://github.com/omni-us/jsonargparse) is a Python package for creating command-line interfaces.
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ClearML integrates seamlessly with `jsonargparse` and automatically logs its command-line parameters and connected
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configuration files.
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All you have to do is add two lines of code:
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```python
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from clearml import Task
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task = Task.init(task_name="<task_name>", project_name="<project_name>")
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```
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When the code runs, ClearML logs your command-line arguments, which you can view in the [WebApp](../webapp/webapp_overview.md),
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in the experiment's **Configuration > Hyperparameters > Args** section.
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### Automatic Logging Control
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By default, when ClearML is integrated into your script, it captures all of your `jsonargparse` parameters.
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But, you may want to have more control over what your experiment logs. To control a task's logging of parameters from
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argument parsers, use the `auto_connect_arg_parser` parameter of [`Task.init()`](../references/sdk/task.md#taskinit).
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Completely disable all automatic logging by setting the parameter to `False`.
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```python
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auto_connect_arg_parser=False
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```
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For finer grained control of logged parameters, input a dictionary with parameter-boolean pairs. The `False` value
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excludes the specified parameter. Unspecified parameters default to `True`.
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For example, the following code will not log the `Example_1` parameter, but will log all other arguments.
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```python
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auto_connect_arg_parser={"Example_1": False}
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```
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To exclude all unspecified parameters, set the `*` key to `False`. For example, the following code will log **only** the
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`Example_2` parameter.
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```python
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auto_connect_arg_parser={"Example_2": True, "*": False}
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```
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## Remote Execution
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In the UI, you can clone a task multiple times and modify it for execution by the [ClearML Agent](../clearml_agent.md).
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The agent executes the code with the modifications you made in the UI, even overriding hardcoded values.
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In the case that you connected a jsonargparse configuration file (e.g. with LightningCLI), make sure to set the
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`_ignore_ui_overrides` to `False` in the **CONFIGURATION > HYPERPARAMETERS > ARGS** section. That way, after the customized
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experiment is enqueued, the task will use the new values during execution.
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## Code Examples
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See [code examples](https://github.com/allegroai/clearml/blob/master/examples/frameworks/jsonargparse) demonstrating integrating
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ClearML with code that uses `jsonargparse`.
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