Metadata-Version: 2.1
Name: torchember
Version: 0.1.2
Summary: Tracking and Visualize after the burning PyTorch
Home-page: https://github.com/raynardj/torchember
Author: raynardj
Author-email: email@example.com
License: Apache Software License 2.0
Keywords: pytorch statistics tracker torchember
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# Torch Ember
> Tracking and visualize after the burning pytorch


## Installation
```pip install torchember```

## Fast Tutorial

Full [documentations](https://raynardj.github.io/torchember/)

### Step1, Track your model

Place you torch ember tracker on your model

```python
from torchember.core import torchEmber
te = torchEmber(model)
```

Train your model as usual

### Step2, Check the analysis on the WebUI

Run the service from terminal
```shell
$ torchember
```
The default port will be 8080

Or assign a port
```shell
$ torchember --port=4200
```

Visit your analysis at ```http://[host]:[port]```


