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pollfly
2022-01-16 11:13:53 +02:00
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7
docs/guides/frameworks/pytorch/pytorch_mnist.md
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@@ -33,13 +33,14 @@ Logger.current_logger().report_scalar(
)
```
These scalars can be visualized in plots, which appear in the **ClearML web UI**, in the experiment's
page **>** **RESULTS** **>** **SCALARS**.
These scalars can be visualized in plots, which appear in the ClearML [web UI](../../../webapp/webapp_overview.md),
in the experiment's page **>** **RESULTS** **>** **SCALARS**.
![image](../../../img/examples_pytorch_mnist_07.png)
## Hyperparameters
**ClearML** automatically logs command line options defined with `argparse`. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.
ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.
![image](../../../img/examples_pytorch_mnist_01.png)

3
docs/guides/frameworks/pytorch/pytorch_tensorboard.md
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@@ -15,7 +15,8 @@ The example does the following:
## Scalars
In the example script, the `train` and `test` functions call the TensorBoard `SummaryWriter.add_scalar` method to log loss.
These scalars, along with the resource utilization plots, which are titled **:monitor: machine**, appear in the experiment's page in the **ClearML web UI** under **RESULTS** **>** **SCALARS**,
These scalars, along with the resource utilization plots, which are titled **:monitor: machine**, appear in the experiment's
page in the [ClearML web UI](../../../webapp/webapp_overview.md) under **RESULTS** **>** **SCALARS**.
![image](../../../img/examples_pytorch_tensorboard_07.png)

4
docs/guides/frameworks/tensorboardx/tensorboardx.md
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@@ -6,10 +6,10 @@ The [pytorch_tensorboardX.py](https://github.com/allegroai/clearml/blob/master/e
example demonstrates the integration of ClearML into code that uses PyTorch and TensorBoardX.
The script does the following:
* Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/vision/stable/datasets.html#mnist) dataset.
* Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/vision/stable/datasets.html#mnist) dataset
* Creates an experiment named `pytorch with tensorboardX` which is associated with the `examples` project
* ClearML automatically captures scalars and text logged using the TensorBoardX `SummaryWriter` object, and
the model created by PyTorch.
the model created by PyTorch
## Scalars