pytorch/torch/onnx
BowenBao cc2aad2ef2 [ONNX] Add symbolic for torch.addcmul (#72126)
* Add addcmul op

* Remove required_grad

Pull Request resolved: https://github.com/pytorch/pytorch/pull/73101
2022-02-22 22:48:18 +00:00
..
__init__.py [ONNX] Refactor _run_symbolic_function (#67573) (#68491) 2022-02-11 18:35:35 +00:00
operators.py Fix typos, via a Levenshtein-type corrector (#31523) 2020-01-17 16:03:19 -08:00
README.md [ONNX] Minor doc update (#69501) (#69550) 2022-02-11 22:05:15 +00:00
symbolic_caffe2.py [ONNX] use consistent quoting for string literals (#57757) (#58695) 2021-05-27 12:06:42 -07:00
symbolic_helper.py [ONNX] First version of quantized model export: Support quantized.Linear (#69232) 2022-02-18 18:27:26 +00:00
symbolic_opset7.py [ONNX] Fix remainder export (#64230) (#64578) 2021-09-30 21:08:54 -07:00
symbolic_opset8.py Added antialias flag to interpolate (CPU only, bilinear) (#65142) 2021-11-17 09:10:15 -08:00
symbolic_opset9.py [ONNX] Add symbolic for torch.addcmul (#72126) 2022-02-22 22:48:18 +00:00
symbolic_opset10.py [ONNX] First version of quantized model export: Support quantized.Linear (#69232) 2022-02-18 18:27:26 +00:00
symbolic_opset11.py [ONNX] Add export support for linalg norm (#66575) 2022-02-18 18:30:16 +00:00
symbolic_opset12.py [ONNX] Support opset 15 (#67121) (#67805) 2021-11-08 14:37:00 -08:00
symbolic_opset13.py [ONNX] Use human readable enum for dtype scalars (#66822) (#67807) 2021-11-08 14:37:05 -08:00
symbolic_opset14.py [ONNX] Fix for batchnorm training op mode (#52758) (#62760) 2021-08-18 13:29:07 -07:00
symbolic_opset15.py [ONNX] Support opset 15 (#67121) (#67805) 2021-11-08 14:37:00 -08:00
symbolic_registry.py [ONNX] First version of quantized model export: Support quantized.Linear (#69232) 2022-02-18 18:27:26 +00:00
utils.py Don't call _jit_pass_onnx_function_extraction if export_modules_as_functions is False (#69742) 2022-02-22 22:43:53 +00:00

torch.onnx

Torch->ONNX converter / exporter.

User-facing docs.

Developer docs.