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https://github.com/onnx/onnx-caffe2

Caffe2 implementation of Open Neural Network Exchange (ONNX)
https://github.com/onnx/onnx-caffe2

caffe2 deep-learning deep-neural-networks

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Caffe2 implementation of Open Neural Network Exchange (ONNX)

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README

        

NOTICE: THIS REPO IS DEPRECATED! onnx-caffe2 has been merge into [Caffe2](https://github.com/caffe2/caffe2/tree/master/caffe2/python/onnx).
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onnx-caffe2
========
| Travis | Jenkins |
|--------|---------|
| [![Build Status](https://travis-ci.org/onnx/onnx-caffe2.svg?branch=master)](https://travis-ci.org/onnx/onnx-caffe2) | [![Build Status](https://ci.pytorch.org/jenkins/buildStatus/icon?job=onnx-caffe2-master)](https://ci.pytorch.org/jenkins/job/onnx-caffe2-master/) |

Caffe2 implementation of Open Neural Network Exchange (ONNX).

Repository location may change.

# Installation

```
pip install onnx-caffe2
```

# Usage

* [ONNX to Caffe2](https://github.com/onnx/tutorials/blob/master/tutorials/OnnxCaffe2Import.ipynb)
* [Caffe2 to ONNX](https://github.com/onnx/tutorials/blob/master/tutorials/Caffe2OnnxExport.ipynb)
* [other end-to-end tutorials](https://github.com/onnx/tutorials)

# Folder Structure

- onnx_caffe2/: the main folder that all code lies under
- frontend.py: translate from caffe2 model to onnx model
- backend.py: execution engine that runs onnx on caffe2
- tests/: test files

# Testing

onnx-caffe2 uses [pytest](https://docs.pytest.org) as test driver. In order to run tests, first you need to install pytest:

```
pip install pytest-cov
```

After installing pytest, do

```
pytest
```

to run tests.

Testing coverage issues/status: https://github.com/onnx/onnx-caffe2/blob/master/tests/ONNXOpCoverage.md

# Development

During development it's convenient to install onnx-caffe2 in development mode:

```
git clone https://github.com/onnx/onnx-caffe2.git --recursive
pip install -e onnx-caffe2/
```

# License

[MIT License](LICENSE)