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Update example images (#1073)
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@@ -15,25 +15,30 @@ The example script does the following:
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ClearML automatically captures scalars logged by CatBoost. These scalars can be visualized in plots, which appear in the
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[ClearML web UI](../../../webapp/webapp_overview.md), in the task's **SCALARS** tab.
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## Hyperparameters
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ClearML automatically logs command line options defined with argparse. They appear in **CONFIGURATIONS > HYPERPARAMETERS > Args**.
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## Console
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Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
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## Artifacts
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Models created by the task appear in the task's **ARTIFACTS** tab. ClearML automatically logs and tracks
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models created using CatBoost.
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Clicking on the model name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can view
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the model's details and access the model.
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@@ -18,16 +18,19 @@ The example code does the following:
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ClearML automatically logs the histogram output to TensorBoard. They appear in **PLOTS**.
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## Plots
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Histograms output to TensorBoard. They appear in **PLOTS**.
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## Logs
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Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
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@@ -36,7 +36,8 @@ ClearML captures all of the `TrainingArguments` passed to the Trainer.
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View these parameters in the task's **CONFIGURATION** tab **> Hyperparameters** section.
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### Models
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@@ -47,10 +48,12 @@ variable is set to `True`.
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ClearML automatically captures the model snapshots created by the Trainer, and saves them as artifacts. View the snapshots in the
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task's **ARTIFACTS** tab.
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### Scalars
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ClearML automatically captures the Trainer's scalars, which can be viewed in the task's **Scalars** tab.
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@@ -83,18 +83,22 @@ if CONDITION:
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## WebApp
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The model appears in the task's **ARTIFACTS** tab.
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Clicking on the model name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can view the
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model's details and access the model.
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The model's **NETWORK** tab displays its configuration.
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The model's **LABELS** tab displays its label enumeration.
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@@ -35,7 +35,8 @@ Task.current_task().upload_artifact(
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All of these artifacts appear in the main Task, **ARTIFACTS** **>** **OTHER**.
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## Scalars
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@@ -54,7 +55,8 @@ Task.current_task().get_logger().report_scalar(
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The single scalar plot for loss appears in **SCALARS**.
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## Hyperparameters
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@@ -69,7 +71,8 @@ Task.current_task().connect(param)
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Command line options appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
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Parameter dictionaries appear in the **General** section of **HYPERPARAMETERS**.
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@@ -78,10 +81,12 @@ param = {'worker_{}_stuff'.format(dist.get_rank()): 'some stuff ' + str(randint(
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Task.current_task().connect(param)
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```
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## Log
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Output to the console, including the text messages printed from the main Task object and each subprocess, appears in **CONSOLE**.
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@@ -14,15 +14,18 @@ The example does the following:
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The images shown in the example script's `imshow` function appear according to metric in **DEBUG SAMPLES**.
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Select a debug sample by metric.
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Open the debug sample in the image viewer.
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Click a debug sample to view it in the image viewer.
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@@ -36,28 +36,33 @@ Logger.current_logger().report_scalar(
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These scalars can be visualized in plots, which appear in the ClearML [web UI](../../../webapp/webapp_overview.md),
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in the task's **SCALARS** tab.
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## Hyperparameters
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
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## Console
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Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
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## Artifacts
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Models created by the task appear in the task's **ARTIFACTS** tab. ClearML automatically logs and tracks models
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and any snapshots created using PyTorch.
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Clicking on the model name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can view
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the model's details and access the model.
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@@ -18,34 +18,40 @@ In the example script, the `train` and `test` functions call the TensorBoard `Su
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These scalars, along with the resource utilization plots, which are titled **:monitor: machine**, appear in the task's
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page in the [ClearML web UI](../../../webapp/webapp_overview.md) under **SCALARS**.
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## Debug Samples
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ClearML automatically tracks images and text output to TensorFlow. They appear in **DEBUG SAMPLES**.
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## Hyperparameters
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **TF_DEFINE**.
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## Console
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Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
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## Artifacts
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Models created by the task appear in the task's **ARTIFACTS** tab. ClearML automatically logs and tracks
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models and any snapshots created using PyTorch.
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Clicking on a model's name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can view
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the model's details and access the model.
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@@ -18,29 +18,34 @@ The loss and accuracy metric scalar plots, along with the resource utilization p
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appear in the task's page in the [web UI](../../../webapp/webapp_overview.md), under **SCALARS**.
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## Hyperparameters
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>**
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**HYPERPARAMETERS** **>** **Args**.
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## Log
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Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
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## Artifacts
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Models created by the task appear in the task's **ARTIFACTS** tab. ClearML automatically logs and tracks
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models and any snapshots created using PyTorch.
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Clicking on the model name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can view
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the model's details and access the model.
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@@ -11,10 +11,12 @@ associated with the `examples` project.
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The debug sample images appear according to metric, in the task's **DEBUG SAMPLES** tab.
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## Hyperparameters
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **TF_DEFINE**.
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