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3
docs/clearml_data/data_management_examples/data_man_cifar_classification.md
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@ -68,7 +68,8 @@ reproducibility.
Information about the dataset can be viewed in the WebApp, in the dataset's [details panel](../../webapp/datasets/webapp_dataset_viewing.md#version-details-panel).
In the panel's **CONTENT** tab, you can see a table summarizing version contents, including file names, file sizes, and hashes.
![Dataset content tab](../../img/examples_data_management_cifar_dataset.png)
![Dataset content tab](../../img/examples_data_management_cifar_dataset.png#light-mode-only)
![Dataset content tab](../../img/examples_data_management_cifar_dataset_dark.png#dark-mode-only)
## Using the Dataset

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docs/clearml_data/data_management_examples/data_man_python.md
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@ -79,7 +79,8 @@ After a dataset has been closed, it can no longer be modified. This ensures futu
Information about the dataset can be viewed in the WebApp, in the dataset's [details panel](../../webapp/datasets/webapp_dataset_viewing.md#version-details-panel).
In the panel's **CONTENT** tab, you can see a table summarizing version contents, including file names, file sizes, and hashes.
![Dataset content tab](../../img/examples_data_management_cifar_dataset.png)
![Dataset content tab](../../img/examples_data_management_cifar_dataset.png#light-mode-only)
![Dataset content tab](../../img/examples_data_management_cifar_dataset_dark.png#dark-mode-only)
## Data Ingestion

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docs/deploying_clearml/clearml_server_config.md
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@ -361,10 +361,16 @@ You can also use hashed passwords instead of plain-text passwords. To do that:
### Non-responsive Task Watchdog
The non-responsive task watchdog monitors tasks that were not updated for a specified time interval, and then
the watchdog marks them as `aborted`. The non-responsive experiment watchdog is always active.
The non-responsive task watchdog monitors for running tasks that have stopped communicating with the ClearML Server for a specified
time interval. If a task remains unresponsive beyond the set threshold, the watchdog marks it as `aborted`.
Modify the following settings for the watchdog:
A task is considered non-responsive if the time since its last communication with the ClearML Server exceeds the
configured threshold. The watchdog starts counting after each successful communication with the server. If no further
updates are received within the specified time, the task is considered non-responsive. This typically happens if:
* The task's main process is stuck but has not exited.
* There is a network issue preventing the task from communicating with the server.
You can configure the following watchdog settings:
* Watchdog status - enabled / disabled
* The time threshold (in seconds) of experiment inactivity (default value is 7200 seconds (2 hours)).
@ -372,10 +378,15 @@ Modify the following settings for the watchdog:
**To configure the non-responsive watchdog for the ClearML Server:**
1. In the ClearML Server `/opt/clearml/config/services.conf` file, add or edit the `tasks.non_responsive_tasks_watchdog`
section and specify the watchdog settings.
1. Open the ClearML Server `/opt/clearml/config/services.conf` file.
:::tip
If the `services.conf` file does not exist, create your own in ClearML Server's `/opt/clearml/config` directory (or
an alternate folder you configured).
:::
1. Add or edit the `tasks.non_responsive_tasks_watchdog` section and specify the watchdog settings. For example:
For example:
```
tasks {
non_responsive_tasks_watchdog {
@ -389,11 +400,6 @@ Modify the following settings for the watchdog:
}
}
```
:::tip
If the `services.conf` file does not exist, create your own in ClearML Server's `/opt/clearml/config` directory (or
an alternate folder you configured), and input the modified configuration
:::
1. Restart ClearML Server.

12
docs/guides/advanced/execute_remotely.md
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@ -57,24 +57,28 @@ Logger.current_logger().report_scalar(
These scalars can be visualized in plots, which appear in the ClearML web UI, in the task's **SCALARS** tab.
![Task Scalars](../../img/examples_pytorch_mnist_07.png)
![Task Scalars](../../img/examples_pytorch_mnist_07.png#light-mode-only)
![Task Scalars](../../img/examples_pytorch_mnist_07_dark.png#dark-mode-only)
## Hyperparameters
ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
![Task hyperparameters](../../img/examples_pytorch_mnist_01.png)
![Task hyperparameters](../../img/examples_pytorch_mnist_01.png#light-mode-only)
![Task hyperparameters](../../img/examples_pytorch_mnist_01_dark.png#dark-mode-only)
## Console
Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
![Task console log](../../img/examples_pytorch_mnist_06.png)
![Task console log](../../img/examples_pytorch_mnist_06.png#light-mode-only)
![Task console log](../../img/examples_pytorch_mnist_06_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 PyTorch.
![Task artifacts](../../img/examples_remote_execution_artifacts.png)
![Task artifacts](../../img/examples_remote_execution_artifacts.png#light-mode-only)
![Task artifacts](../../img/examples_remote_execution_artifacts_dark.png#dark-mode-only)

3
docs/guides/automation/manual_random_param_search_example.md
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@ -31,4 +31,5 @@ the `examples` project. This starts the parameter search, and creates the tasks:
When these tasks are completed, their [results can be compared](../../webapp/webapp_exp_comparing.md).
![Comparison parallel coordinates](../../img/examples_hpo_parallel_coordinates.png)
![Comparison parallel coordinates](../../img/examples_hpo_parallel_coordinates.png#light-mode-only)
![Comparison parallel coordinates](../../img/examples_hpo_parallel_coordinates_dark.png#dark-mode-only)

15
docs/guides/distributed/distributed_pytorch_example.md
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@ -34,7 +34,8 @@ Task.current_task().upload_artifact(
All of these artifacts appear in the main Task under **ARTIFACTS** **>** **OTHER**.
![Task artifacts](../../img/examples_pytorch_distributed_example_09.png)
![Task artifacts](../../img/examples_pytorch_distributed_example_09.png#light-mode-only)
![Task artifacts](../../img/examples_pytorch_distributed_example_09_dark.png#dark-mode-only)
## Scalars
@ -54,7 +55,8 @@ Task.current_task().get_logger().report_scalar(
The single scalar plot for loss appears in **SCALARS**.
![Task scalars](../../img/examples_pytorch_distributed_example_08.png)
![Task scalars](../../img/examples_pytorch_distributed_example_08.png#light-mode-only)
![Task scalars](../../img/examples_pytorch_distributed_example_08_dark.png#dark-mode-only)
## Hyperparameters
@ -69,12 +71,15 @@ Task.current_task().connect(param)
All the hyperparameters appear in **CONFIGURATION** **>** **HYPERPARAMETERS**.
![Task hyperparameters Args](../../img/examples_pytorch_distributed_example_01.png)
![Task hyperparameters Args](../../img/examples_pytorch_distributed_example_01.png#light-mode-only)
![Task hyperparameters Args](../../img/examples_pytorch_distributed_example_01_dark.png#dark-mode-only)
![Task hyperparameters General ](../../img/examples_pytorch_distributed_example_01a.png)
![Task hyperparameters General ](../../img/examples_pytorch_distributed_example_02.png#light-mode-only)
![Task hyperparameters General ](../../img/examples_pytorch_distributed_example_02_dark.png#dark-mode-only)
## Console
Output to the console, including the text messages printed from the main Task object and each subprocess appear in **CONSOLE**.
![Task console log](../../img/examples_pytorch_distributed_example_06.png)
![Task console log](../../img/examples_pytorch_distributed_example_06.png#light-mode-only)
![Task console log](../../img/examples_pytorch_distributed_example_06_dark.png#dark-mode-only)

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docs/guides/distributed/subprocess_example.md
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@ -26,14 +26,17 @@ Task.current_task().connect(additional_parameters)
Command line options appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
![image](../../img/examples_subprocess_example_01.png)
![Hyperparameter Args](../../img/examples_subprocess_example_01.png#light-mode-only)
![Hyperparameter Args](../../img/examples_subprocess_example_01_dark.png#dark-mode-only)
Parameter dictionaries appear in **General**.
![image](../../img/examples_subprocess_example_01a.png)
![Hyperparameter General](../../img/examples_subprocess_example_01a.png#light-mode-only)
![Hyperparameter General](../../img/examples_subprocess_example_01a_dark.png#dark-mode-only)
## Console
Output to the console, including the text messages from the Task in each subprocess, appear in **CONSOLE**.
![image](../../img/examples_subprocess_example_02.png)
![Console](../../img/examples_subprocess_example_02.png#light-mode-only)
![Console](../../img/examples_subprocess_example_02_dark.png#dark-mode-only)

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docs/guides/frameworks/catboost/catboost.md
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@ -15,25 +15,30 @@ The example script does the following:
ClearML automatically captures scalars logged by CatBoost. These scalars can be visualized in plots, which appear in the
[ClearML web UI](../../../webapp/webapp_overview.md), in the task's **SCALARS** tab.
![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)
## Hyperparameters
ClearML automatically logs command line options defined with argparse. They appear in **CONFIGURATIONS > HYPERPARAMETERS > Args**.
![Task hyperparameters](../../../img/examples_catboost_configurations.png)
![Task hyperparameters](../../../img/examples_catboost_configurations.png#light-mode-only)
![Task hyperparameters](../../../img/examples_catboost_configurations_dark.png#dark-mode-only)
## Console
Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
![Task console](../../../img/examples_catboost_console.png)
![Task console](../../../img/examples_catboost_console.png#light-mode-only)
![Task console](../../../img/examples_catboost_console_dark.png#dark-mode-only)
## Artifacts
Models created by the task appear in the task's **ARTIFACTS** tab. ClearML automatically logs and tracks
models created using CatBoost.
![Task artifacts](../../../img/examples_catboost_artifacts.png)
![Task artifacts](../../../img/examples_catboost_artifacts.png#light-mode-only)
![Task artifacts](../../../img/examples_catboost_artifacts_dark.png#dark-mode-only)
Clicking on the 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.
![Model page](../../../img/examples_catboost_model.png)
![Model page](../../../img/examples_catboost_model.png#light-mode-only)
![Model page](../../../img/examples_catboost_model_dark.png#dark-mode-only)

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docs/guides/frameworks/fastai/fastai_with_tensorboard.md
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@ -18,16 +18,19 @@ The example code does the following:
ClearML automatically logs the histogram output to TensorBoard. They appear in **PLOTS**.
![image](../../../img/examples_reporting_fastai_01.png)
![Scalars](../../../img/examples_reporting_fastai_01.png#light-mode-only)
![Scalars](../../../img/examples_reporting_fastai_01_dark.png#dark-mode-only)
## Plots
Histograms output to TensorBoard. They appear in **PLOTS**.
![image](../../../img/examples_reporting_fastai_02.png)
![Plots](../../../img/examples_reporting_fastai_02.png#light-mode-only)
![Plots](../../../img/examples_reporting_fastai_02_dark.png#dark-mode-only)
## Logs
Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
![image](../../../img/examples_reporting_fastai_03.png)
![Console](../../../img/examples_reporting_fastai_03.png#light-mode-only)
![Console](../../../img/examples_reporting_fastai_03_dark.png#dark-mode-only)

9
docs/guides/frameworks/huggingface/transformers.md
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@ -36,7 +36,8 @@ ClearML captures all of the `TrainingArguments` passed to the Trainer.
View these parameters in the task's **CONFIGURATION** tab **> Hyperparameters** section.
![Transformers params](../../../img/examples_transformers_params.png)
![Transformers params](../../../img/examples_transformers_params.png#light-mode-only)
![Transformers params](../../../img/examples_transformers_params_dark.png#dark-mode-only)
### Models
@ -47,10 +48,12 @@ variable is set to `True`.
ClearML automatically captures the model snapshots created by the Trainer, and saves them as artifacts. View the snapshots in the
task's **ARTIFACTS** tab.
![Transformers models](../../../img/examples_transformers_artifacts.png)
![Transformers models](../../../img/examples_transformers_artifacts.png#light-mode-only)
![Transformers models](../../../img/examples_transformers_artifacts_dark.png#dark-mode-only)
### Scalars
ClearML automatically captures the Trainer's scalars, which can be viewed in the task's **Scalars** tab.
![Transformers scalars](../../../img/integrations_transformers_scalars.png)
![Transformers scalars](../../../img/integrations_transformers_scalars.png#light-mode-only)
![Transformers scalars](../../../img/integrations_transformers_scalars_dark.png#dark-mode-only)

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docs/guides/frameworks/pytorch/model_updating.md
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@ -83,18 +83,22 @@ if CONDITION:
## WebApp
The model appears in the task's **ARTIFACTS** tab.
![Task artifacts](../../../img/examples_model_update_artifacts.png)
![Task artifacts](../../../img/examples_model_update_artifacts.png#light-mode-only)
![Task artifacts](../../../img/examples_model_update_artifacts_dark.png#dark-mode-only)
Clicking on the 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.
![Model page](../../../img/examples_model_update_model.png)
![Model page](../../../img/examples_model_update_model.png#light-mode-only)
![Model page](../../../img/examples_model_update_model_dark.png#dark-mode-only)
The model's **NETWORK** tab displays its configuration.
![Model network tab](../../../img/examples_model_update_network.png)
![Model network tab](../../../img/examples_model_update_network.png#light-mode-only)
![Model network tab](../../../img/examples_model_update_network_dark.png#dark-mode-only)
The model's **LABELS** tab displays its label enumeration.
![Model labels](../../../img/examples_model_update_labels.png)
![Model labels](../../../img/examples_model_update_labels.png#light-mode-only)
![Model labels](../../../img/examples_model_update_labels_dark.png#dark-mode-only)

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docs/guides/frameworks/pytorch/pytorch_distributed_example.md
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@ -35,7 +35,8 @@ Task.current_task().upload_artifact(
All of these artifacts appear in the main Task, **ARTIFACTS** **>** **OTHER**.
![image](../../../img/examples_pytorch_distributed_example_09.png)
![Artifacts](../../../img/examples_pytorch_distributed_example_09.png#light-mode-only)
![Artifacts](../../../img/examples_pytorch_distributed_example_09_dark.png#dark-mode-only)
## Scalars
@ -54,7 +55,8 @@ Task.current_task().get_logger().report_scalar(
The single scalar plot for loss appears in **SCALARS**.
![image](../../../img/examples_pytorch_distributed_example_08.png)
![Scalars](../../../img/examples_pytorch_distributed_example_08.png#light-mode-only)
![Scalars](../../../img/examples_pytorch_distributed_example_08_dark.png#dark-mode-only)
## Hyperparameters
@ -69,7 +71,8 @@ Task.current_task().connect(param)
Command line options appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
![image](../../../img/examples_pytorch_distributed_example_01.png)
![Hyperparamter Args](../../../img/examples_pytorch_distributed_example_01.png#light-mode-only)
![Hyperparamter Args](../../../img/examples_pytorch_distributed_example_01_dark.png#dark-mode-only)
Parameter dictionaries appear in the **General** section of **HYPERPARAMETERS**.
@ -78,10 +81,12 @@ param = {'worker_{}_stuff'.format(dist.get_rank()): 'some stuff ' + str(randint(
Task.current_task().connect(param)
```
![image](../../../img/examples_pytorch_distributed_example_02.png)
![Hyperparameter General args](../../../img/examples_pytorch_distributed_example_02.png#light-mode-only)
![Hyperparameter General args](../../../img/examples_pytorch_distributed_example_02_dark.png#dark-mode-only)
## Log
Output to the console, including the text messages printed from the main Task object and each subprocess, appears in **CONSOLE**.
![image](../../../img/examples_pytorch_distributed_example_06.png)
![Console log](../../../img/examples_pytorch_distributed_example_06.png#light-mode-only)
![Console log](../../../img/examples_pytorch_distributed_example_06_dark.png#dark-mode-only)

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docs/guides/frameworks/pytorch/pytorch_matplotlib.md
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@ -14,15 +14,18 @@ The example does the following:
The images shown in the example script's `imshow` function appear according to metric in **DEBUG SAMPLES**.
![image](../../../img/examples_pytorch_matplotlib_02.png)
![Debug samples](../../../img/examples_pytorch_matplotlib_02.png#light-mode-only)
![Debug samples](../../../img/examples_pytorch_matplotlib_02_dark.png#dark-mode-only)
Select a debug sample by metric.
![image](../../../img/examples_pytorch_matplotlib_02a.png)
![Debug sample selection](../../../img/examples_pytorch_matplotlib_02a.png#light-mode-only)
![Debug sample selection](../../../img/examples_pytorch_matplotlib_02a_dark.png#dark-mode-only)
Open the debug sample in the image viewer.
Click a debug sample to view it in the image viewer.
![image](../../../img/examples_pytorch_matplotlib_02b.png)
![Debug sample image viewer](../../../img/examples_pytorch_matplotlib_02b.png#light-mode-only)
![Debug sample image viewer](../../../img/examples_pytorch_matplotlib_02b_dark.png#dark-mode-only)

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docs/guides/frameworks/pytorch/pytorch_mnist.md
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@ -36,28 +36,33 @@ Logger.current_logger().report_scalar(
These scalars can be visualized in plots, which appear in the ClearML [web UI](../../../webapp/webapp_overview.md),
in the task's **SCALARS** tab.
![image](../../../img/examples_pytorch_mnist_07.png)
![Scalars](../../../img/examples_pytorch_mnist_07.png#light-mode-only)
![Scalars](../../../img/examples_pytorch_mnist_07_dark.png#dark-mode-only)
## Hyperparameters
ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
![image](../../../img/examples_pytorch_mnist_01.png)
![Hyperparameters](../../../img/examples_pytorch_mnist_01.png#light-mode-only)
![Hyperparameters](../../../img/examples_pytorch_mnist_01_dark.png#dark-mode-only)
## Console
Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
![image](../../../img/examples_pytorch_mnist_06.png)
![Console Log](../../../img/examples_pytorch_mnist_06.png#light-mode-only)
![Console Log](../../../img/examples_pytorch_mnist_06_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 PyTorch.
![image](../../../img/examples_pytorch_mnist_02.png)
![Models](../../../img/examples_pytorch_mnist_02.png#light-mode-only)
![Models](../../../img/examples_pytorch_mnist_02_dark.png#dark-mode-only)
Clicking on the 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.
![image](../../../img/examples_pytorch_mnist_03.png)
![Model details](../../../img/examples_pytorch_mnist_03.png#light-mode-only)
![Model details](../../../img/examples_pytorch_mnist_03_dark.png#dark-mode-only)

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docs/guides/frameworks/pytorch/pytorch_tensorboard.md
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@ -18,34 +18,40 @@ In the example script, the `train` and `test` functions call the TensorBoard `Su
These scalars, along with the resource utilization plots, which are titled **:monitor: machine**, appear in the task's
page in the [ClearML web UI](../../../webapp/webapp_overview.md) under **SCALARS**.
![image](../../../img/examples_pytorch_tensorboard_07.png)
![Scalars](../../../img/examples_pytorch_tensorboard_07.png#light-mode-only)
![Scalars](../../../img/examples_pytorch_tensorboard_07_dark.png#dark-mode-only)
## Debug Samples
ClearML automatically tracks images and text output to TensorFlow. They appear in **DEBUG SAMPLES**.
![image](../../../img/examples_pytorch_tensorboard_08.png)
![Debug Samples](../../../img/examples_pytorch_tensorboard_08.png#light-mode-only)
![Debug Samples](../../../img/examples_pytorch_tensorboard_08_dark.png#dark-mode-only)
## Hyperparameters
ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **TF_DEFINE**.
![image](../../../img/examples_pytorch_tensorboard_01.png)
![Hyperparameters](../../../img/examples_pytorch_tensorboard_01.png#light-mode-only)
![Hyperparameters](../../../img/examples_pytorch_tensorboard_01_dark.png#dark-mode-only)
## Console
Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
![image](../../../img/examples_pytorch_tensorboard_06.png)
![Console Log](../../../img/examples_pytorch_tensorboard_06.png#light-mode-only)
![Console Log](../../../img/examples_pytorch_tensorboard_06_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 PyTorch.
![image](../../../img/examples_pytorch_tensorboard_02.png)
![Artifacts](../../../img/examples_pytorch_tensorboard_02.png#light-mode-only)
![Artifacts](../../../img/examples_pytorch_tensorboard_02_dark.png#dark-mode-only)
Clicking on a model's 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.
![image](../../../img/examples_pytorch_tensorboard_03.png)
![Model details](../../../img/examples_pytorch_tensorboard_03.png#light-mode-only)
![Model details](../../../img/examples_pytorch_tensorboard_03_dark.png#dark-mode-only)

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docs/guides/frameworks/pytorch/pytorch_tensorboardx.md
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@ -18,29 +18,34 @@ The loss and accuracy metric scalar plots, along with the resource utilization p
appear in the task's page in the [web UI](../../../webapp/webapp_overview.md), under **SCALARS**.
![image](../../../img/examples_pytorch_tensorboardx_03.png)
![Scalars](../../../img/examples_pytorch_tensorboardx_03.png#light-mode-only)
![Scalars](../../../img/examples_pytorch_tensorboardx_03_dark.png#dark-mode-only)
## Hyperparameters
ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>**
**HYPERPARAMETERS** **>** **Args**.
![image](../../../img/examples_pytorch_tensorboardx_01.png)
![Hyperparameters](../../../img/examples_pytorch_tensorboardx_01.png#light-mode-only)
![Hyperparameters](../../../img/examples_pytorch_tensorboardx_01_dark.png#dark-mode-only)
## Log
Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
![image](../../../img/examples_pytorch_tensorboardx_02.png)
![Console log](../../../img/examples_pytorch_tensorboardx_02.png#light-mode-only)
![Console log](../../../img/examples_pytorch_tensorboardx_02_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 PyTorch.
![image](../../../img/examples_pytorch_tensorboardx_04.png)
![Artifacts](../../../img/examples_pytorch_tensorboardx_04.png#light-mode-only)
![Artifacts](../../../img/examples_pytorch_tensorboardx_04_dark.png#dark-mode-only)
Clicking on the 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.
![image](../../../img/examples_pytorch_tensorboardx_model.png)
![Model details](../../../img/examples_pytorch_tensorboardx_model.png#light-mode-only)
![Model details](../../../img/examples_pytorch_tensorboardx_model_dark.png#dark-mode-only)

6
docs/guides/frameworks/pytorch/tensorboard_toy_pytorch.md
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@ -11,10 +11,12 @@ associated with the `examples` project.
The debug sample images appear according to metric, in the task's **DEBUG SAMPLES** tab.
![image](../../../img/examples_tensorboard_toy_pytorch_02.png)
![Debug samples](../../../img/examples_tensorboard_toy_pytorch_02.png#light-mode-only)
![Debug samples](../../../img/examples_tensorboard_toy_pytorch_02_dark.png#dark-mode-only)
## Hyperparameters
ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **TF_DEFINE**.
![image](../../../img/examples_tensorboard_toy_pytorch_00.png)
![Hyperparameters](../../../img/examples_tensorboard_toy_pytorch_00.png#light-mode-only)
![Hyperparameters](../../../img/examples_tensorboard_toy_pytorch_00_dark.png#dark-mode-only)

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