Adrian Lizarraga 3e4c5e6487 [QNN EP] workaround for QNN validation bug for Tanh with uint16 quantized output (#23432) ... ### Description - Skip QNN validation for Tanh with uint16 quantized output (workaround for QNN validation bug). - Re-enables unit test for Tanh with uint16 quantized output. The [QNN documentation](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/HtpOpDefSupplement.html#tanh) states that the output scale and offset for `ufixed_point_16` should be (1/32768) and -32768, respectively. However, the QNN validator incorrectly rejects these values. So, we skip validation for this configuration of Tanh. Building an actual QNN graph with the correct scale/offset still works. ### Motivation and Context This QNN validation bug appeared in QNN SDK 2.28.0 and is still present in QNN SDK 2.30.0. A previous PR disabled the corresponding unit test: https://github.com/microsoft/onnxruntime/pull/22724/files#diff-57f590c6c548b073ba8cd8af6cf198799906f7059ea46b31cd33972ea9b01983R232		2025-01-20 21:35:47 -08:00
..
contrib_ops	[WebGPU] allow build WebGPU EP for WebAssembly (#23364)	2025-01-16 10:52:17 -08:00
core	[QNN EP] workaround for QNN validation bug for Tanh with uint16 quantized output (#23432)	2025-01-20 21:35:47 -08:00
lora
python	Enable comprehension simplification in ruff rules (#23414)	2025-01-17 08:43:06 -08:00
test	[QNN EP] workaround for QNN validation bug for Tanh with uint16 quantized output (#23432)	2025-01-20 21:35:47 -08:00
tool/etw
wasm	[WebNN] Fixed WebNN Module undefined issue (#22795)	2024-11-11 21:31:24 -08:00
__init__.py	Use ruff as the formatter to replace black-isort (#23397)	2025-01-16 11:14:15 -08:00
ReformatSource.ps1
ReformatSourcePython.bat
VSCodeCoverage.runsettings