onnxruntime/onnxruntime
Adrian Lizarraga 514b4699b4
[QNN EP] Apply workaround for Conv validation bug when bias input is implicit (#21764)
### Description
- Adds a dummy bias of all zeros when translating a Conv without an
explicit bias input. This is a workaround for a QNN validation issue
that fails when the optional bias input is not provided.
- Corrects logic for unpacking of **non-zero int4** zero-points. Bug
does not impact models because we currently only support int4
zero-points equal to 0 (symmetric quant). But this would become an issue
in the future if/when QNN supports non-zero int4 zero-points (so good to
fix now).



### Motivation and Context
Support Conv operators without a bias input on QNN EP with the latest
QNN SDK.
2024-08-22 10:38:03 -07:00
..
contrib_ops [CUDA] Update benchmark_mha.py to capture debug info to identify sdpa kernel (#21804) 2024-08-21 17:30:16 -07:00
core [QNN EP] Apply workaround for Conv validation bug when bias input is implicit (#21764) 2024-08-22 10:38:03 -07:00
python [MIGraphX EP] Add support for MIGraphX Exhaustive tune flag (#46) (#21599) 2024-08-21 07:32:12 -07:00
test [QNN EP] Apply workaround for Conv validation bug when bias input is implicit (#21764) 2024-08-22 10:38:03 -07:00
tool/etw Fix typos - 1st Wave (#21278) 2024-07-11 13:35:08 +08:00
wasm [js/web] allow relative path matching (#21657) 2024-08-09 03:13:40 -07:00
__init__.py bumps up version in main from 1.19 -> 1.20 (#21588) 2024-08-05 15:46:04 -07:00
ReformatSource.ps1
ReformatSourcePython.bat
VSCodeCoverage.runsettings