torch-mlir/lib/Conversion/TorchOnnxToTorch
Vivek Khandelwal 4a0bed0ce0
[ONNX] Add training mode support for BatchNormalization op (#3597)
This commit extends the OnnxToTorch lowering for BatchNormalization op
for supporting the case when training=True.

Signed-Off By: Vivek Khandelwal <vivekkhandelwal1424@gmail.com>
2024-08-14 10:46:38 +05:30
..
CMakeLists.txt Support onnx.GRU and onnx.RNN (#3447) 2024-07-10 14:04:17 -04:00
DefaultDomainAtoF.cpp [ONNX] Add training mode support for BatchNormalization op (#3597) 2024-08-14 10:46:38 +05:30
DefaultDomainGtoP.cpp [onnx] Support integer types for `onnx.Pow` (#3626) 2024-08-13 09:39:04 -07:00
DefaultDomainQtoZ.cpp [ONNX] add support for tfidfvectorizer (#3553) 2024-08-12 18:10:11 -05:00
OnnxRecurrentLayerOpExpanders.cpp [onnx] Fix `onnx.RNN` for layout attribute (#3620) 2024-08-13 14:34:25 -07:00
PassDetail.h Initial TorchOnnxToTorch conversion pipeline. (#2585) 2023-11-21 21:02:55 -08:00
Passes.cpp Initial TorchOnnxToTorch conversion pipeline. (#2585) 2023-11-21 21:02:55 -08:00
Patterns.cpp Initial TorchOnnxToTorch conversion pipeline. (#2585) 2023-11-21 21:02:55 -08:00
TorchOnnxToTorch.cpp Initial TorchOnnxToTorch conversion pipeline. (#2585) 2023-11-21 21:02:55 -08:00
Utils.cpp Support onnx.GRU and onnx.RNN (#3447) 2024-07-10 14:04:17 -04:00