pytorch/caffe2/python/onnx
Lu Fang 29c27d7b99 Automatic update of fbcode/onnx to e18bb41d255a23daf368ffd62a2645db55db4c72 (#17460)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17460

Previous import was 4c091e048ca42682d63ccd3c1811560bc12b732d

Included changes:
- **[e18bb41](https://github.com/onnx/onnx/commit/e18bb41)**: Infer shape of the second output of Dropout op (#1822) <Shinichiro Hamaji>
- **[cb544d0](https://github.com/onnx/onnx/commit/cb544d0)**: Clarify dtype of Dropout's mask output (#1826) <Shinichiro Hamaji>
- **[b60f693](https://github.com/onnx/onnx/commit/b60f693)**: Fix shape inference when auto_pad  is notset (#1824) <Li-Wen Chang>
- **[80346bd](https://github.com/onnx/onnx/commit/80346bd)**: update test datat (#1825) <Rui Zhu>
- **[b37fc6d](https://github.com/onnx/onnx/commit/b37fc6d)**: Add stringnormalizer operator to ONNX (#1745) <Dmitri Smirnov>

Reviewed By: zrphercule

Differential Revision: D14206264

fbshipit-source-id: 0575fa3374ff2b93b2ecee9989cfa4793c599117
2019-02-25 11:09:08 -08:00
..
bin
tests Automatic update of fbcode/onnx to e18bb41d255a23daf368ffd62a2645db55db4c72 (#17460) 2019-02-25 11:09:08 -08:00
__init__.py
backend.py Unify gpu_support variable in python tests (#16748) 2019-02-07 00:29:51 -08:00
backend_cpp_rep.py
backend_rep.py
error.py
frontend.py
helper.py
onnxifi.py Fix batch insert (#17158) 2019-02-15 12:28:23 -08:00
ONNXOpCoverage.md
README.md
test_onnxifi.py
workspace.py

Caffe2 implementation of Open Neural Network Exchange (ONNX)

Usage

Installation

onnx-caffe2 is installed as a part of Caffe2. Please follow the instructions to install Caffe2.

Folder Structure

  • ./: 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 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/caffe2/caffe2/blob/master/caffe2/python/onnx/ONNXOpCoverage.md

Development

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

cd /path/to/caffe2
pip install -e caffe2/

License

MIT License