--- title: TensorboardX --- :::tip If you are not already using ClearML, see [Getting Started](../getting_started/ds/ds_first_steps.md). ::: [TensorboardX](https://tensorboardx.readthedocs.io/en/latest/tutorial.html#what-is-tensorboard-x) is a data visualization toolkit to log information through PyTorch and visualize it through [TensorBoard](https://www.tensorflow.org/tensorboard). ClearML automatically captures all data logged to TensorboardX, including scalars, images, video, plots, and text. All you have to do is add two lines of code to your script: ```python from clearml import Task task = Task.init(task_name="", project_name="") ``` This will create a [ClearML Task](../fundamentals/task.md) that captures your script's information, including Git details, uncommitted code, python environment, your TensorboardX metrics, plots, images, and text. View the TensorboardX outputs in the [WebApp](../webapp/webapp_overview.md), in the experiment's page. ![TensorboardX WebApp scalars](../img/examples_pytorch_tensorboardx_03.png) ## Manual Logging To augment its automatic logging, ClearML also provides an explicit logging interface. See more information about explicitly logging information to a ClearML Task: * [Models](../clearml_sdk/model_sdk.md#manually-logging-models) * [Configuration](../clearml_sdk/task_sdk.md#configuration) (e.g. parameters, configuration files) * [Artifacts](../clearml_sdk/task_sdk.md#artifacts) (e.g. output files or python objects created by a task) * [Scalars](../clearml_sdk/task_sdk.md#scalars) * [Text/Plots/Debug Samples](../fundamentals/logger.md#manual-reporting) ### Examples Take a look at ClearML’s TensorboardX examples: * [TensorboardX with PyTorch](../guides/frameworks/tensorboardx/tensorboardx.md) - Demonstrates ClearML logging TensorboardX scalars, debug samples, and text in code using PyTorch * [MegEngine MNIST](../guides/frameworks/megengine/megengine_mnist.md) - Demonstrates ClearML logging TensorboardX scalars in code using MegEngine * [TensorboardX Video](../guides/frameworks/tensorboardx/video_tensorboardx.md) - Demonstrates ClearML logging TensorBoardX video data.