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@ -15,25 +15,29 @@ The example script does the following:
The scalars logged in the task can be visualized in a plot, which appears in the ClearML web UI, in the task's **SCALARS** tab.
![LightGBM scalars](../../../img/examples_lightgbm_scalars.png)
![LightGBM scalars](../../../img/examples_lightgbm_scalars.png#light-mode-only)
![LightGBM scalars](../../../img/examples_lightgbm_scalars_dark.png#dark-mode-only)
## Hyperparameters
ClearML automatically logs the configurations applied to LightGBM. They appear in **CONFIGURATIONS > HYPERPARAMETERS > GENERAL**.
![LightGBM hyperparameters](../../../img/examples_lightgbm_config.png)
![LightGBM hyperparameters](../../../img/examples_lightgbm_config.png#light-mode-only)
![LightGBM hyperparameters](../../../img/examples_lightgbm_config_dark.png#dark-mode-only)
## Artifacts
Models created by the task appear in the task's **ARTIFACTS** tab. ClearML automatically logs and tracks
models and any snapshots created using LightGBM.
![LightGBM model](../../../img/examples_lightgbm_model.png)
![LightGBM model](../../../img/examples_lightgbm_model.png#light-mode-only)
![LightGBM model](../../../img/examples_lightgbm_model_dark.png#dark-mode-only)
## Console
All other console output appears in **CONSOLE**.
![LightGBM console](../../../img/examples_lightgbm_console.png)
![LightGBM console](../../../img/examples_lightgbm_console.png#light-mode-only)
![LightGBM console](../../../img/examples_lightgbm_console_dark.png#dark-mode-only)

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@ -22,18 +22,23 @@ in the `examples` project (in script) or the `Colab notebooks` project (in Jupyt
The scatter plots appear in the **ClearML Web UI**, in **PLOTS**.
![Matplotlib plot 1](../../../img/examples_matplotlib_example_01.png)
![Matplotlib plot 1](../../../img/examples_matplotlib_example_01.png#light-mode-only)
![Matplotlib plot 1](../../../img/examples_matplotlib_example_01_dark.png#dark-mode-only)
![Matplotlib plot 2](../../../img/examples_matplotlib_example_02.png)
![Matplotlib plot 2](../../../img/examples_matplotlib_example_02.png#light-mode-only)
![Matplotlib plot 2](../../../img/examples_matplotlib_example_02_dark.png#dark-mode-only)
![Matplotlib plot 3](../../../img/examples_matplotlib_example_03.png)
![Matplotlib plot 3](../../../img/examples_matplotlib_example_03.png#light-mode-only)
![Matplotlib plot 3](../../../img/examples_matplotlib_example_03_dark.png#dark-mode-only)
## Debug Samples
The images appear in **DEBUG SAMPLES**. Each debug sample image is associated with a metric.
![Matplotlib image plot](../../../img/examples_matplotlib_example_04.png)
![Matplotlib image plot](../../../img/examples_matplotlib_example_04.png#light-mode-only)
![Matplotlib image plot](../../../img/examples_matplotlib_example_04_dark.png#dark-mode-only)
View the debug sample in the image viewer.
![Image viewer](../../../img/examples_matplotlib_example_05.png)
![Image viewer](../../../img/examples_matplotlib_example_05.png#light-mode-only)
![Image viewer](../../../img/examples_matplotlib_example_05_dark.png#dark-mode-only)

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@ -17,7 +17,8 @@ The example script does the following:
ClearML automatically logs command line options defined with `argparse`. They appear in the task's **CONFIGURATION**
tab under **HYPERPARAMETERS** **>** **Args**.
![Configuration tab](../../../img/examples_megengine_mnist_config.png)
![Configuration tab](../../../img/examples_megengine_mnist_config.png#light-mode-only)
![Configuration tab](../../../img/examples_megengine_mnist_config_dark.png#dark-mode-only)
## Scalars
@ -28,7 +29,8 @@ These scalars can be visualized in plots, which appear in the ClearML [WebApp](.
task's **SCALARS** tab.
![Scalars tab](../../../img/examples_megengine_mnist_scalars.png)
![Scalars tab](../../../img/examples_megengine_mnist_scalars.png#light-mode-only)
![Scalars tab](../../../img/examples_megengine_mnist_scalars_dark.png#dark-mode-only)
## Models
@ -36,7 +38,8 @@ ClearML automatically captures the model logged using the `megengine.save` metho
View saved snapshots in the task's **ARTIFACTS** tab.
![Artifacts tab](../../../img/examples_megengine_models_1.png)
![Artifacts tab](../../../img/examples_megengine_models_1.png#light-mode-only)
![Artifacts tab](../../../img/examples_megengine_models_1_dark.png#dark-mode-only)
To view the model details, click the model name in the **ARTIFACTS** page, which will open the model's info tab. Alternatively, download the model.
@ -45,11 +48,13 @@ The model info panel contains the model details, including:
* Framework
* Snapshot locations.
![Model info panel](../../../img/examples_megengine_models_2.png)
![Model info panel](../../../img/examples_megengine_models_2.png#light-mode-only)
![Model info panel](../../../img/examples_megengine_models_2_dark.png#dark-mode-only)
## Console
All console output during the script's execution appears in the task's **CONSOLE** page.
![Console tab](../../../img/examples_megengine_console.png)
![Console tab](../../../img/examples_megengine_console.png#light-mode-only)
![Console tab](../../../img/examples_megengine_console_dark.png#dark-mode-only)

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@ -24,7 +24,8 @@ params = task.connect(params) # enabling configuration override by clearml
```
The hyperparameter configurations can be viewed in the WebApp in the task's **CONFIGURATION** tab.
![image](../../../img/examples_integration_pytorch_ignite_config.png)
![Hyperparameters](../../../img/examples_integration_pytorch_ignite_config.png#light-mode-only)
![Hyperparameters](../../../img/examples_integration_pytorch_ignite_config_dark.png#dark-mode-only)
## Ignite TensorboardLogger
@ -37,7 +38,8 @@ ClearML automatically captures scalars logged through `TensorboardLogger`.
View the scalars in the task's page in the **ClearML Web UI**, in **SCALARS**.
![Task scalars](../../../img/examples_cifar_scalars.png)
![Task scalars](../../../img/examples_cifar_scalars.png#light-mode-only)
![Task scalars](../../../img/examples_cifar_scalars_dark.png#dark-mode-only)
## Model Snapshots
@ -46,18 +48,21 @@ ClearML automatically captures the model logged with Torch, and saves it as an a
View saved snapshots in the task's **ARTIFACTS** tab.
![Task models](../../../img/examples_cifar_artifacts.png)
![Task models](../../../img/examples_cifar_artifacts.png#light-mode-only)
![Task models](../../../img/examples_cifar_artifacts_dark.png#dark-mode-only)
To view the model, in the **ARTIFACTS** tab, click the model name (or download it).
![Model details](../../../img/examples_cifar_model.png)
![Model details](../../../img/examples_cifar_model.png#light-mode-only)
![Model details](../../../img/examples_cifar_model_dark.png#dark-mode-only)
## Debug Samples
ClearML automatically tracks images logged to TensorboardLogger. They appear in **DEBUG SAMPLES**.
![image](../../../img/examples_integration_pytorch_ignite_debug.png)
![Debug Samples](../../../img/examples_integration_pytorch_ignite_debug.png#light-mode-only)
![Debug Samples](../../../img/examples_integration_pytorch_ignite_debug_dark.png#dark-mode-only)
## Ignite ClearMLLogger

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@ -161,15 +161,18 @@ When the code runs, the task results can be viewed in the [ClearML Web UI](../..
View the scalars, including training and validation metrics, in the task's page in the ClearML Web UI, under
**SCALARS**.
![Task scalars](../../../img/ignite_training.png)
![Task scalars](../../../img/ignite_training.png#light-mode-only)
![Task scalars](../../../img/ignite_training_dark.png#dark-mode-only)
### Model Snapshots
View saved snapshots in the **ARTIFACTS** tab.
![image](../../../img/ignite_artifact.png)
![Task Artifacts](../../../img/ignite_artifact.png#light-mode-only)
![Task Artifacts](../../../img/ignite_artifact_dark.png#dark-mode-only)
To view model details, in the **ARTIFACTS** tab, click the model name (or download it).
![image](../../../img/ignite_model.png)
![Model details](../../../img/ignite_model.png#light-mode-only)
![Model details](../../../img/ignite_model_dark.png#dark-mode-only)

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@ -16,7 +16,8 @@ The test loss and validation loss plots appear in the task's page in the ClearML
Resource utilization plots, which are titled **:monitor: machine**, also appear in the **SCALARS** tab. All of these
plots are automatically captured by ClearML.
![PyTorch Lightning scalars](../../../img/examples_pytorch_lightning_scalars.png)
![PyTorch Lightning scalars](../../../img/examples_pytorch_lightning_scalars.png#light-mode-only)
![PyTorch Lightning scalars](../../../img/examples_pytorch_lightning_scalars_dark.png#dark-mode-only)
## Hyperparameters
@ -24,13 +25,15 @@ plots are automatically captured by ClearML.
ClearML automatically logs command line options defined with argparse and TensorFlow Definitions, which appear in
**CONFIGURATIONS > HYPERPARAMETERS > Args** and **TF_DEFINE** respectively.
![PyTorch Lightning parameters](../../../img/examples_pytorch_lightning_params.png)
![PyTorch Lightning parameters](../../../img/examples_pytorch_lightning_params.png#light-mode-only)
![PyTorch Lightning parameters](../../../img/examples_pytorch_lightning_params_dark.png#dark-mode-only)
## Artifacts
Models created by the task appear in the task's **ARTIFACTS** tab.
![PyTorch Lightning model](../../../img/examples_pytorch_lightning_model.png)
![PyTorch Lightning model](../../../img/examples_pytorch_lightning_model.png#light-mode-only)
![PyTorch Lightning model](../../../img/examples_pytorch_lightning_model_dark.png#dark-mode-only)
Clicking on a model name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can view
the model's details and access the model.
@ -39,5 +42,6 @@ the model's details and access the model.
All other console output appears in **CONSOLE**.
![PyTorch Lightning console](../../../img/examples_pytorch_lightning_console.png)
![PyTorch Lightning console](../../../img/examples_pytorch_lightning_console.png#light-mode-only)
![PyTorch Lightning console](../../../img/examples_pytorch_lightning_console_dark.png#dark-mode-only)

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@ -15,4 +15,5 @@ The example does the following:
The learning curve plots appear in the **ClearML web UI** under **PLOTS**.
![image](../../../img/examples_sklearn_matplotlib_example_01.png)
![Learning Curve](../../../img/examples_sklearn_matplotlib_example_01.png#light-mode-only)
![Learning Curve](../../../img/examples_sklearn_matplotlib_example_01_dark.png#dark-mode-only)

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@ -222,20 +222,23 @@ ClearML pipeline page: https://app.clear.ml/pipelines/462f48dba7b441ffb34bddb783
The pipeline run's page contains the pipeline's structure, the execution status of every step, as well as the run's
configuration parameters and output.
![Pipeline DAG](../../img/examples_pipeline_from_tasks_DAG.png)
![Pipeline DAG](../../img/examples_pipeline_from_tasks_DAG.png#light-mode-only)
![Pipeline DAG](../../img/examples_pipeline_from_tasks_DAG_dark.png#dark-mode-only)
To view a run's complete information, click **Full details** on the bottom of the **Run Info** panel, which will open
the pipeline's [controller task page](../../webapp/webapp_exp_track_visual.md).
Click a step to see its summary information.
![Pipeline step info](../../img/examples_pipeline_from_tasks_step_info.png)
![Pipeline step info](../../img/examples_pipeline_from_tasks_step_info.png#light-mode-only)
![Pipeline step info](../../img/examples_pipeline_from_tasks_step_info_dark.png#dark-mode-only)
### Console
Click **DETAILS** to view a log of the pipeline controller's console output.
![Pipeline console](../../img/examples_pipeline_from_tasks_console.png)
![Pipeline console](../../img/examples_pipeline_from_tasks_console.png#light-mode-only)
![Pipeline console](../../img/examples_pipeline_from_tasks_console_dark.png#dark-mode-only)
Click on a step to view its console output.

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@ -87,22 +87,26 @@ ClearML pipeline page: https://app.clear.ml/pipelines/462f48dba7b441ffb34bddb783
The pipeline run's page contains the pipeline's structure, the execution status of every step, as well as the run's
configuration parameters and output.
![Pipeline DAG](../../img/examples_pipeline_from_decorator_DAG.png)
![Pipeline DAG](../../img/examples_pipeline_from_decorator_DAG.png#light-mode-only)
![Pipeline DAG](../../img/examples_pipeline_from_decorator_DAG_dark.png#dark-mode-only)
To view a run's complete information, click **Full details** on the bottom of the **Run Info** panel, which will open the
pipeline's [controller task page](../../webapp/webapp_exp_track_visual.md).
Click a step to see an overview of its details.
![Pipeline step info](../../img/examples_pipeline_from_decorator_step_info.png)
![Pipeline step info](../../img/examples_pipeline_from_decorator_step_info.png#light-mode-only)
![Pipeline step info](../../img/examples_pipeline_from_decorator_step_info_dark.png#dark-mode-only)
## Console and Code
Click **DETAILS** to view a log of the pipeline controller's console output.
![Pipeline console](../../img/examples_pipeline_from_decorator_console.png)
![Pipeline console](../../img/examples_pipeline_from_decorator_console.png#light-mode-only)
![Pipeline console](../../img/examples_pipeline_from_decorator_console_dark.png#dark-mode-only)
Click on a step to view its console output. You can also view the selected step's code by clicking **CODE**
on top of the console log.
![Pipeline step code](../../img/examples_pipeline_from_decorator_code.png)
![Pipeline step code](../../img/examples_pipeline_from_decorator_code.png#light-mode-only)
![Pipeline step code](../../img/examples_pipeline_from_decorator_code_dark.png#dark-mode-only)

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@ -116,22 +116,26 @@ ClearML pipeline page: https://app.clear.ml/pipelines/462f48dba7b441ffb34bddb783
The pipeline run's page contains the pipeline's structure, the execution status of every step, as well as the run's
configuration parameters and output.
![Pipeline DAG](../../img/pipeline_from_functions_DAG.png)
![Pipeline DAG](../../img/pipeline_from_functions_DAG.png#light-mode-only)
![Pipeline DAG](../../img/pipeline_from_functions_DAG_dark.png#dark-mode-only)
To view a run's complete information, click **Full details** on the bottom of the **Run Info** panel, which will open the
pipeline's [controller task page](../../webapp/webapp_exp_track_visual.md).
Click a step to see an overview of its details.
![Pipeline step info](../../img/pipeline_from_functions_step_info.png)
![Pipeline step info](../../img/pipeline_from_functions_step_info.png#light-mode-only)
![Pipeline step info](../../img/pipeline_from_functions_step_info_dark.png#dark-mode-only)
## Console and Code
### Console and Code
Click **DETAILS** to view a log of the pipeline controller's console output.
![Pipeline console](../../img/pipeline_from_functions_console.png)
![Pipeline console](../../img/pipeline_from_functions_console.png#light-mode-only)
![Pipeline console](../../img/pipeline_from_functions_console_dark.png#dark-mode-only)
Click on a step to view its console output. You can also view the selected step's code by clicking **CODE**
on top of the console log.
![Pipeline step code](../../img/pipeline_from_functions_code.png)
![Pipeline step code](../../img/pipeline_from_functions_code.png#light-mode-only)
![Pipeline step code](../../img/pipeline_from_functions_code_dark.png#dark-mode-only)

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@ -10,13 +10,16 @@ example demonstrates using ClearML to log plots and images generated by Matplotl
The Matplotlib and Seaborn plots reported using [`Logger.report_matplotlib_figure()`](../../references/sdk/logger.md#report_matplotlib_figure)
appear in the task's **PLOTS** tab.
![Task Matplotlib plots](../../img/manual_matplotlib_reporting_01.png)
![Task Matplotlib plots](../../img/manual_matplotlib_reporting_01.png#light-mode-only)
![Task Matplotlib plots](../../img/manual_matplotlib_reporting_01_dark.png#dark-mode-only)
![Task Seaborn plot](../../img/manual_matplotlib_reporting_02.png)
![Task Seaborn plot](../../img/manual_matplotlib_reporting_02.png#light-mode-only)
![Task Seaborn plot](../../img/manual_matplotlib_reporting_02_dark.png#dark-mode-only)
## Debug Samples
Matplotlib figures can be logged as images by using [`Logger.report_matplotlib_figure()`](../../references/sdk/logger.md#report_matplotlib_figure),
and passing `report_image=True`. The images are displayed in the task's **DEBUG SAMPLES**.
![Task debug sample](../../img/manual_matplotlib_reporting_03.png)
![Task debug sample](../../img/manual_matplotlib_reporting_03.png#light-mode-only)
![Task debug sample](../../img/manual_matplotlib_reporting_03_dark.png#dark-mode-only)

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@ -132,13 +132,14 @@ All the task information that ClearML captures can be viewed in the [WebApp](../
View saved model snapshots in the **ARTIFACTS** tab.
![Model snapshots](../img/ignite_artifact.png)
![Model snapshots](../img/ignite_artifact.png#light-mode-only)
### Scalars
View the scalars in the task's **SCALARS** tab.
![Scalars](../img/examples_cifar_scalars.png)
![Scalars](../img/examples_cifar_scalars.png#light-mode-only)
![Scalars](../img/examples_cifar_scalars_dark.png#dark-mode-only)
### Debug Samples
@ -146,5 +147,6 @@ View the scalars in the task's **SCALARS** tab.
ClearML automatically tracks images logged to `TensorboardLogger`. They appear in the task's **DEBUG SAMPLES**.
![Debug Samples](../img/examples_integration_pytorch_ignite_debug.png)
![Debug Samples](../img/examples_integration_pytorch_ignite_debug.png#light-mode-only)
![Debug Samples](../img/examples_integration_pytorch_ignite_debug_dark.png#dark-mode-only)

View File

@ -28,7 +28,8 @@ This will create a ClearML Task that captures:
View captured Matplotlib plots and images in the [WebApp](../webapp/webapp_exp_track_visual.md),
in the task's **Plots** and **Debug Samples** tabs respectively.
![Task plots](../img/examples_matplotlib_example_01.png)
![Task plots](../img/examples_matplotlib_example_01.png#light-mode-only)
![Task plots](../img/examples_matplotlib_example_01_dark.png#dark-mode-only)
## Automatic Logging Control
By default, when ClearML is integrated into your script, it captures all of your matplotlib visualizations.
@ -67,12 +68,14 @@ plt.show()
The logged figure is displayed in the task's **Plots** tab.
![Task Matplotlib plots](../img/manual_matplotlib_reporting_01.png)
![Task Matplotlib plots](../img/manual_matplotlib_reporting_01.png#light-mode-only)
![Task Matplotlib plots](../img/manual_matplotlib_reporting_01_dark.png#dark-mode-only)
Matplotlib figures can be logged as images by passing `report_image=True` to `Logger.report_matplotlib_figure()`.
View the images in the task's **DEBUG SAMPLES** tab.
![Task debug sample](../img/manual_matplotlib_reporting_03.png)
![Task debug sample](../img/manual_matplotlib_reporting_03.png#light-mode-only)
![Task debug sample](../img/manual_matplotlib_reporting_03_dark.png#dark-mode-only)
See [Manual Matplotlib Reporting](../guides/reporting/manual_matplotlib_reporting.md) example.

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@ -31,7 +31,8 @@ And that's it! This creates a [ClearML Task](../fundamentals/task.md) which capt
You can view all the task details in the [WebApp](../webapp/webapp_overview.md).
![LightningCLI params](../img/integrations_lightningcli_params.png)
![LightningCLI params](../img/integrations_lightningcli_params.png#light-mode-only)
![LightningCLI params](../img/integrations_lightningcli_params_dark.png#dark-mode-only)
See an example of PyTorch Lightning and ClearML in action [here](../guides/frameworks/pytorch_lightning/pytorch_lightning_example.md).