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See an example of CatBoost and ClearML in action [here](../guides/frameworks/catboost/catboost.md). -![Task scalars](../img/examples_catboost_scalars.png) +![Task scalars](../img/examples_catboost_scalars.png#light-mode-only) +![Task scalars](../img/examples_catboost_scalars_dark.png#dark-mode-only) ## Automatic Logging Control By default, when ClearML is integrated into your CatBoost script, it captures models, and diff --git a/docs/integrations/fastai.md b/docs/integrations/fastai.md index aabc00c9..e5ff1653 100644 --- a/docs/integrations/fastai.md +++ b/docs/integrations/fastai.md @@ -30,7 +30,8 @@ You can view all the task details in the [WebApp](../webapp/webapp_overview.md). See an example of `fastai` and ClearML in action [here](../guides/frameworks/fastai/fastai_with_tensorboard.md). -![Task scalars](../img/examples_reporting_fastai_01.png) +![Task scalars](../img/examples_reporting_fastai_01.png#light-mode-only) +![Task scalars](../img/examples_reporting_fastai_01_dark.png#dark-mode-only) ## Automatic Logging Control By default, when ClearML is integrated into your `fastai` script, it captures models and diff --git a/docs/integrations/keras_tuner.md b/docs/integrations/keras_tuner.md index 705526b8..55960684 100644 --- a/docs/integrations/keras_tuner.md +++ b/docs/integrations/keras_tuner.md @@ -53,16 +53,19 @@ You can view all the task details in the [WebApp](../webapp/webapp_exp_track_vis ClearML logs the scalars from training each network. They appear in the task's **SCALARS** tab in the Web UI. -![Optimization scalars](../img/integration_keras_tuner_06.png) +![Optimization scalars](../img/integration_keras_tuner_06.png#light-mode-only) +![Optimization scalars](../img/integration_keras_tuner_06_dark.png#dark-mode-only) ClearML automatically logs the parameters of each task run in the hyperparameter search. They appear in tabular form in the task's **PLOTS**. -![Optimization plot](../img/integration_keras_tuner_07.png) +![Optimization plot](../img/integration_keras_tuner_07.png#light-mode-only) +![Optimization plot](../img/integration_keras_tuner_07_dark.png#dark-mode-only) ClearML automatically stores the output model. It appears in the task's **ARTIFACTS** **>** **Output Model**. -![output model](../img/integration_keras_tuner_03.png) +![output model](../img/integration_keras_tuner_03.png#light-mode-only) +![output model](../img/integration_keras_tuner_03_dark.png#dark-mode-only) ## Example diff --git a/docs/integrations/pytorch.md b/docs/integrations/pytorch.md index 5a9184d3..39ee2f83 100644 --- a/docs/integrations/pytorch.md +++ b/docs/integrations/pytorch.md @@ -28,7 +28,8 @@ 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). -![Pytorch webapp](../img/examples_pytorch_distributed_example_08.png) +![Pytorch webapp](../img/examples_pytorch_distributed_example_08.png#light-mode-only) +![Pytorch webapp](../img/examples_pytorch_distributed_example_08_dark.png#dark-mode-only) ## Automatic Logging Control By default, when ClearML is integrated into your PyTorch script, it captures PyTorch models. But, you may want to have diff --git a/docs/integrations/tensorboard.md b/docs/integrations/tensorboard.md index 317c983f..d002c582 100644 --- a/docs/integrations/tensorboard.md +++ b/docs/integrations/tensorboard.md @@ -22,9 +22,11 @@ uncommitted code, Python environment, your TensorBoard metrics, plots, images, a View the TensorBoard outputs in the [WebApp](../webapp/webapp_overview.md), in the task's page. -![TensorBoard WebApp scalars](../img/examples_pytorch_tensorboard_07.png) +![TensorBoard WebApp scalars](../img/examples_pytorch_tensorboard_07.png#light-mode-only) +![TensorBoard WebApp scalars](../img/examples_pytorch_tensorboard_07_dark.png#dark-mode-only) -![Tensorboard WebApp debug samples](../img/examples_tensorboard_toy_pytorch_02.png) +![Tensorboard WebApp debug samples](../img/examples_tensorboard_toy_pytorch_02.png#light-mode-only) +![Tensorboard WebApp debug samples](../img/examples_tensorboard_toy_pytorch_02_dark.png#dark-mode-only) ## Automatic Logging Control By default, when ClearML is integrated into your script, it captures all of your TensorBoard plots, images, and metrics. diff --git a/docs/integrations/tensorboardx.md b/docs/integrations/tensorboardx.md index 673b2c7b..0adc7557 100644 --- a/docs/integrations/tensorboardx.md +++ b/docs/integrations/tensorboardx.md @@ -22,7 +22,8 @@ uncommitted code, Python environment, your TensorboardX metrics, plots, images, View the TensorboardX outputs in the [WebApp](../webapp/webapp_overview.md), in the task's page. -![TensorboardX WebApp scalars](../img/examples_pytorch_tensorboardx_03.png) +![TensorboardX WebApp scalars](../img/examples_pytorch_tensorboardx_03.png#light-mode-only) +![TensorboardX WebApp scalars](../img/examples_pytorch_tensorboardx_03_dark.png#dark-mode-only) ## Automatic Logging Control By default, when ClearML is integrated into your script, it captures all of your TensorboardX plots, images, metrics, videos, and text. diff --git a/docs/integrations/xgboost.md b/docs/integrations/xgboost.md index 831c379c..5a5b326f 100644 --- a/docs/integrations/xgboost.md +++ b/docs/integrations/xgboost.md @@ -51,7 +51,8 @@ except ImportError: You can view all the task details in the [WebApp](../webapp/webapp_overview.md). -![Task scalars](../img/examples_xgboost_metric_scalars.png) +![Task scalars](../img/examples_xgboost_metric_scalars.png#light-mode-only) +![Task scalars](../img/examples_xgboost_metric_scalars_dark.png#dark-mode-only) ## Automatic Logging Control By default, when ClearML is integrated into your XGBoost script, it captures models, and