George Wu

> Is there any logic in the QNN EP that is hardware dependent? > > Otherwise it should be deterministic as the EP said it could take the Conv node,...

> > QNN EP is just calling QNN api's for op validation so there's no specific logic in the EP. we should look into why the op validation failed to...

> I've also been able to replicate this issue using `onnxruntime==1.19.0` and `qnn-sdk==2.25.0.240728` can you enable verbose logging as @adrianlizarraga mentions above so we can have a better understanding of...

there are multiple issues filed here with the same error message and similar causes. both are due to constraints/limitations of the underlying HW you're testing on. @zhangw864680355 , I believe...

> Thanks, I missed this point in the reference doc. This explains it. no problem. we'll reach out to qualcomm and give them feedback that perhaps they could make the...

closing issue as it's resolved.

it's just a warning. it seems to coming from pytorch/cpuinfo which ort seems to be using. https://github.com/pytorch/cpuinfo/blob/a5ff6df40ce528721cfc310c7ed43946d77404d5/src/arm/windows/init.c#L179 https://github.com/pytorch/cpuinfo/blob/a5ff6df40ce528721cfc310c7ed43946d77404d5/src/arm/windows/init.c#L22 needs to be updated.

phi3 model is not yet supported out of box. it requires additional work to make it run reasonably well with an NPU. stay tuned.

@sfatimar @preetha-intel fyi

> why this exclude Microsoft.ML.OnnxRuntime.Training 1.18.1-rc ? this patch release didn't include any changes related to training.