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Small edits (#734)
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@ -1212,7 +1212,11 @@ will not exceed the value of `matplotlib_untitled_history_size`
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---
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**`sdk.metrics.tensorboard_single_series_per_graph`** (*bool*)
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:::note
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This configuration is deprecated. This plot behavior is now controlled via the UI
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:::
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* Indicates whether plots appear using TensorBoard behavior where each series is plotted in its own graph (plot-per-graph).
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The values are:
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@ -7,8 +7,8 @@ example demonstrates using ClearML to log plots and images generated by Matplotl
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## Plots
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The Matplotlib and Seaborn plots that are reported using the [Logger.report_matplotlib_figure](../../references/sdk/logger.md#report_matplotlib_figure)
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method appear in the experiment's **PLOTS**.
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The Matplotlib and Seaborn plots reported using [`Logger.report_matplotlib_figure()`](../../references/sdk/logger.md#report_matplotlib_figure)
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appear in the experiment's **PLOTS**.
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
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@ -16,7 +16,7 @@ method appear in the experiment's **PLOTS**.
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## Debug Samples
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Matplotlib figures can be logged as images by using the [Logger.report_matplotlib_figure](../../references/sdk/logger.md#report_matplotlib_figure)
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method, and passing `report_image=True`. The images are stored in the experiment's **DEBUG SAMPLES**.
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Matplotlib figures can be logged as images by using [`Logger.report_matplotlib_figure()`](../../references/sdk/logger.md#report_matplotlib_figure),
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and passing `report_image=True`. The images are displayed in the experiment's **DEBUG SAMPLES**.
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
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@ -86,7 +86,7 @@ Take a look at ClearML's PyTorch examples. The examples use PyTorch and ClearML
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additional tools, like argparse, TensorBoard, and matplotlib:
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* [PyTorch MNIST](../guides/frameworks/pytorch/pytorch_mnist.md) - Demonstrates ClearML automatically logging models created with PyTorch, and `argparse` command line parameters
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* [PyTorch with Matplotlib](../guides/frameworks/pytorch/pytorch_matplotlib.md) - Demonstrates ClearML's automatic logging PyTorch models and matplotlib images. The images are stored in the resulting ClearML experiment's **Debug Samples**
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* [PyTorch with Matplotlib](../guides/frameworks/pytorch/pytorch_matplotlib.md) - Demonstrates ClearML's automatic logging PyTorch models and matplotlib images. The images are presented in the resulting ClearML experiment's **Debug Samples**
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* [PyTorch with TensorBoard](../guides/frameworks/pytorch/pytorch_tensorboard.md) - Demonstrates ClearML automatically logging PyTorch models, and scalars, debug samples, and text logged using TensorBoard's `SummaryWriter`
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* [PyTorch TensorBoard Toy](../guides/frameworks/pytorch/tensorboard_toy_pytorch.md) - Demonstrates ClearML automatically logging debug samples logged using TensorBoard's `SummaryWriter`
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* [PyTorch TensorBoardX](../guides/frameworks/pytorch/pytorch_tensorboardx.md) - Demonstrates ClearML automatically logging PyTorch models, and scalars, debug samples, and text logged using TensorBoardX's `SummaryWriter`
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