Metadata-Version: 2.1
Name: onnc-bench
Version: 4.3.1
Summary: ONNC-bench is a Python wrapper of ONNC
Home-page: https://www.skymizer.com
Author: The Skymizer Team
Author-email: hello@skymizer.com
License: Apache License 2.0
Platform: UNKNOWN
Description-Content-Type: text/markdown

# WARNING: This repository is no longer maintained ⚠️

This repository has been moved to:

- https://github.com/skymizer/oasis-api-client
- https://pypi.org/project/oasis-api-client/

Make sure you have permission to view this repository

# ONNC-bench

ONNC-bench is a Python wrapper of ONNC

## Installation

### Developer install
```
python3 -m pip install -e .
```

### Using pip

```
pip install onnc-bench
```

## Python API Example

Here is an example to show how to use ONNC python API

```
from onnc.bench import login, Project
# Setup your ONNC API key
api_key = "Your API KEY"
login(api_key)

# Instantiate a projct
project = Project('experiment-1')

# Add a model and its coresponding calibration samples
project.add_model('path/to/model', 'path/to/samples')

# Compile the model and optmize to `CMSIS-NN` backend
project.compile(target='CMSIS-NN-DEFAULT')


# Save the compiled model
deployment = project.save('./output')

```

Please Check https://docs-tinyonnc.skymizer.com/index.html for the full documents.


