clearml-docs/docs/guides/frameworks/pytorch/pytorch_mnist.md

---
title: PyTorch MNIST
---

The [pytorch_mnist.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_mnist.py) example 
demonstrates the integration of ClearML into code that uses PyTorch. 

The example 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.
* Creates an experiment named `pytorch mnist train`, which is associated with the `examples` project.
* ClearML automatically logs `argparse` command line options, and models (and their snapshots) created by PyTorch
* Additional metrics are logged by calling the [Logger.report_scalar](../../../references/sdk/logger.md#report_scalar) method.

## Scalars

In the example script's `train` function, the following code explicitly reports scalars to ClearML:

```python
Logger.current_logger().report_scalar(
    "train", "loss", iteration=(epoch * len(train_loader) + batch_idx), value=loss.item()
)
```

In the `test` method, the code explicitly reports `loss` and `accuracy` scalars.

```python
Logger.current_logger().report_scalar(
    "test", "loss", iteration=epoch, value=test_loss
)
Logger.current_logger().report_scalar(
    "test", "accuracy", iteration=epoch, value=(correct / len(test_loader.dataset))
)
```    

These scalars can be visualized in plots, which appear in the ClearML [web UI](../../../webapp/webapp_overview.md), 
in the experiment's page **>** **SCALARS**. 

![image](../../../img/examples_pytorch_mnist_07.png)

## Hyperparameters

ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.

![image](../../../img/examples_pytorch_mnist_01.png)

## 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)

## Artifacts

Models created by the experiment appear in the experiment’s **ARTIFACTS** tab. ClearML automatically logs and tracks models 
and any snapshots created using PyTorch. 

![image](../../../img/examples_pytorch_mnist_02.png)

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)