add megengine example docs (#134)

docs/fundamentals/logger.md

@@ -42,8 +42,10 @@ Check out some of ClearML's automatic reporting examples for supported packages:
     TensorFlow flags
   * [Tensorboard with PyTorch](../guides/frameworks/pytorch/pytorch_tensorboard.md) - logging TensorBoard scalars, debug samples, and text integrated into 
     code that uses PyTorch
-* [TensorBoardX](../guides/frameworks/tensorboardx/tensorboardx.md) - logging TensorBoardX scalars, debug 
+* TensorBoardX
+  * [TensorBoardX with Pytorch](../guides/frameworks/tensorboardx/tensorboardx.md) - logging TensorBoardX scalars, debug 
   samples, and text in code using PyTorch
+  * [MegEngine MNIST](../guides/frameworks/megengine/megengine_mnist.md) - logging scalars using TensorBoardX's `SummaryWriter`  
 * Matplotlib 
   * [Matplotlib](../guides/frameworks/matplotlib/matplotlib_example.md) - logging scatter diagrams plotted with Matplotlib
   * [Matplotlib with PyTorch](../guides/frameworks/pytorch/pytorch_matplotlib.md) - logging debug images shown 

docs/guides/frameworks/megengine/megengine_mnist.md

@@ -0,0 +1,54 @@
+---
+title: MegEngine MNIST
+---
+
+The [megengine_mnist.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/megengine/megengine_mnist.py) 
+example demonstrates the integration of ClearML into code that uses [MegEngine](https://github.com/MegEngine/MegEngine) 
+and [TensorBoardX](https://github.com/lanpa/tensorboardX). ClearML automatically captures models saved with `megengine`.
+
+The example script does the following:
+* Trains a simple deep neural network on MegEngine's built-in [MNIST](https://megengine.org.cn/doc/stable/en/reference/api/megengine.data.dataset.MNIST.html)
+  dataset.
+* Creates a TensorBoardX `SummaryWriter` object to log scalars during training.  
+* Creates a ClearML experiment named `megengine mnist train`, which is associated with the `examples` project.
+
+## Hyperparameters
+
+ClearML automatically logs command line options defined with `argparse`. They appear in the experiment's **CONFIGURATIONS** 
+page under **HYPER PARAMETERS** **>** **Args**.
+
+![Configuration tab](../../../img/examples_megengine_mnist_config.png)
+
+## Scalars
+
+The example script's `train` function calls TensorBoardX's `SummaryWriter.add_scalar` method to report `loss`. 
+ClearML automatically captures the data that is added to the `SummaryWriter` object.  
+
+These scalars can be visualized in plots, which appear in the ClearML [WebApp](../../../webapp/webapp_home.md), in the 
+experiment's **RESULTS** **>** **SCALARS** page.
+
+
+![Scalars tab](../../../img/examples_megengine_mnist_scalars.png)
+
+## Models
+
+ClearML automatically captures the model logged using the `megengine.save` method, and saves it as an artifact.
+
+View saved snapshots in the experiment's **ARTIFACTS** tab.
+
+![Artifacts tab](../../../img/examples_megengine_models_1.png) 
+
+To view the model details, click the model name in the **ARTIFACTS** page, which will open the model's info tab. Alternatively, download the model.
+
+The model info panel contains the model details, including: 
+* Model URL
+* Framework
+* Snapshot locations.
+
+![Model info panel](../../../img/examples_megengine_models_2.png)
+
+## Console
+
+All console output during the script’s execution appears in the experiment’s **RESULTS > CONSOLE** page.
+![Console tab](../../../img/examples_megengine_console.png)
+

sidebars.js

@@ -67,11 +67,10 @@ module.exports = {
             {'Frameworks': [
                 {'Autokeras': ['guides/frameworks/autokeras/integration_autokeras', 'guides/frameworks/autokeras/autokeras_imdb_example']},
                 {'FastAI': ['guides/frameworks/fastai/fastai_with_tensorboard']},
-                {
+                {'Keras': ['guides/frameworks/keras/jupyter', 'guides/frameworks/keras/keras_tensorboard']},
-                    'Keras': ['guides/frameworks/keras/jupyter', 'guides/frameworks/keras/keras_tensorboard']
-                },
                 {'LightGBM': ['guides/frameworks/lightgbm/lightgbm_example']},
                 {'Matplotlib': ['guides/frameworks/matplotlib/matplotlib_example']},
+                {'MegEngine':['guides/frameworks/megengine/megengine_mnist']},
                 {'PyTorch':
                         ['guides/frameworks/pytorch/pytorch_distributed_example', 'guides/frameworks/pytorch/pytorch_matplotlib',
                         'guides/frameworks/pytorch/pytorch_mnist', 'guides/frameworks/pytorch/pytorch_tensorboard', 'guides/frameworks/pytorch/pytorch_tensorboardx',