mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
491f2d4cb8
Summary: `MergeDim` can be done by `Reshape([1, -1, 0, 0, ...]) + Squeeze`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/16189 Differential Revision: D14070676 Pulled By: ezyang fbshipit-source-id: 28d7e9b35cc2c1dcbd4afb3fbdf7383e219b1777 |
||
|---|---|---|
| .. | ||
| bin | ||
| tests | ||
| __init__.py | ||
| backend.py | ||
| backend_cpp_rep.py | ||
| backend_rep.py | ||
| error.py | ||
| frontend.py | ||
| helper.py | ||
| onnxifi.py | ||
| 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/