Commit Graph

4 Commits (466618e45e848f1895687b250e05e96f7e805ff4)

Author SHA1 Message Date
Vivek Khandelwal 3c252cdd44
[onnx] Add `onnx-to-torch` lowering for random ops (#3193)
This commit adds the OnnxToTorch lowering for Onnx's RandomNormal, RandomNormalLike, RandomUniform, and RandomUniformLike op.
2024-04-22 22:28:07 +05:30
Vivek Khandelwal ce7d4f1660
[MLIR][TORCH] Fix Onnx.ReduceSum lowering for failing e2e tests (#3095)
Signed-Off By: Vivek Khandelwal <vivekkhandelwal1424@gmail.com>
2024-04-03 09:57:19 +05:30
Rob Suderman e3faef5224
[onnx] Convert `onnx.QLinearConv` to `torch` (#2851)
Leaning on the QDQ functionality in torch we can support the QLinearConv
operation by piggybacking through `torch.Convolution`. This includes
some changes such as allowing the `onnx` rewriter to run recursively.
Doing so allows `QLinearConv` to decopmose to `onnx.Convolution` which
is then lowered to `torch`.
2024-02-05 16:09:41 -08:00
Chi_Liu c7452af4fa
[MLIR][ONNX] Add OnnxToTorch support for Maxpool Op (#2695)
Add Maxpool ONNX op support.
Add Utils.h/cpp files to create a constant int list for ONNX.
2024-01-12 14:54:38 -08:00