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Link to landed trunk PR: * https://github.com/pytorch/executorch/pull/2876 Link to release branch PR: * https://github.com/pytorch/executorch/pull/2946 Criteria category and reasons: Exclude mutable buffers in constant tagging --------- @mergennachin merged
Link to landed trunk PR: https://github.com/pytorch/executorch/pull/2957 Link to release branch PR: https://github.com/pytorch/executorch/pull/3051 Criteria category and reasons: Fix qnn quantizer when it tries to quantize non fp32 tensor ----- @guangy10 :...
Link to landed trunk PR: https://github.com/pytorch/executorch/pull/3005 Link to release branch PR: https://github.com/pytorch/executorch/pull/3052 Criteria category and reasons: Getting ready to push the changes to enable running stories end to end for...
Link to landed trunk PR: https://github.com/pytorch/executorch/pull/3007 Link to release branch PR: https://github.com/pytorch/executorch/pull/3061 Criteria category and reasons: Getting ready to push the changes to enable running stories end to end for...
Link to landed trunk PR: https://github.com/pytorch/executorch/pull/3036 Link to release branch PR: https://github.com/pytorch/executorch/pull/3114 Criteria category and reasons: Remaining changes to enable qnn are https://github.com/pytorch/executorch/pull/3037, https://github.com/pytorch/executorch/pull/3038. Will submit merged PRs accordingly when...
Link to landed trunk PR: https://github.com/pytorch/executorch/pull/3037 Link to release branch PR: https://github.com/pytorch/executorch/pull/3166 Criteria category and reasons: Remaining changes to enable qnn are https://github.com/pytorch/executorch/pull/3038. Will submit merged PRs accordingly when this...
Link to landed trunk PR: https://github.com/pytorch/executorch/pull/3146 Link to release branch PR: https://github.com/pytorch/executorch/pull/3178 Criteria category and reasons: Docs for lowering smaller models to mps/coreml/qnn ----- @guangy10 merged
Also curious what visualization tool you're using
I'm trying to repro on my side. What QNN library version did you use? The error message on my side is ``` [ERROR] [Qnn ExecuTorch]: initial_sequencer_dp.cc:160:ERROR:A single op, "q::Concat" (Op...
I was using qnn 2.19 and just switch to 2.20. I'm using SM8450 on my side