pytorch/caffe2/python/onnx
Xuehai Pan 8d45f555d7 [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587)
Rewrite Python built-in class `super()` calls. Only non-semantic changes should be applied.

- #94587
- #94588
- #94592

Also, methods with only a `super()` call are removed:

```diff
class MyModule(nn.Module):
-   def __init__(self):
-       super().__init__()
-
    def forward(self, ...):
        ...
```

Some cases that change the semantics should be kept unchanged. E.g.:

f152a79be9/caffe2/python/net_printer.py (L184-L190)

f152a79be9/test/test_jit_fuser_te.py (L2628-L2635)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94587
Approved by: https://github.com/ezyang
2023-02-11 18:19:48 +00:00
..
bin
tests Bump to stable ONNX 1.13.0 (#90332) 2023-02-08 11:49:06 +00:00
__init__.py
backend_cpp_rep.py [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587) 2023-02-11 18:19:48 +00:00
backend_rep.py [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587) 2023-02-11 18:19:48 +00:00
backend.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/

License

MIT License