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@adrianlizarraga adrianlizarraga commented Jan 16, 2025

Description

  • Fixes segfault when the function that cleans up HTP memory handles uses an invalid Logger.
  • Fixes unit test that compares output from QNN EP with exact float values. QNN HTP runs float32 models with float16 precision, so need to use a tolerance in the comparison.

Motivation and Context

Fixes issues with using QNN HTP memory sharing on Windows ARM64. This is also needed to test HTP shared memory with PR that makes QNN EP a shared library: #23120.

… an invalid Logger; Fix unit test so that it does not compare exact float values.
edgchen1
edgchen1 previously approved these changes Jan 16, 2025
@adrianlizarraga adrianlizarraga merged commit 2ab51c7 into main Jan 17, 2025
98 checks passed
@adrianlizarraga adrianlizarraga deleted the adrianl/fix-qnn-htp-shared-mem-issues-win-arm64 branch January 17, 2025 00:20
@adrianlizarraga adrianlizarraga added the ep:QNN issues related to QNN exeution provider label Jan 17, 2025
ashrit-ms pushed a commit that referenced this pull request Jan 23, 2025
…23402)

### Description
- Fixes segfault when the function that cleans up HTP memory handles
uses an invalid Logger.
- Fixes unit test that compares output from QNN EP with exact float
values. QNN HTP runs float32 models with float16 precision, so need to
use a tolerance in the comparison.



### Motivation and Context
Fixes issues with using QNN HTP memory sharing on Windows ARM64. This is
also needed to test HTP shared memory with
#23120.
ashrit-ms added a commit that referenced this pull request Jan 23, 2025
### Description
This PR is to update the win-ort-main branch to the tip main branch as
of 2025-01-23.

### PR List
ddf0d37 [QNN EP] Add LoggingManager::HasDefaultLogger() to provider
bridge API (#23467)
05fbbdf [QNN EP] Make QNN EP a shared library (#23120)
1336566 Add custom vcpkg ports (#23456)
2e1173c Update the compile flags for vcpkg packages (#23455)
1f628a9 [Mobile] Add BrowserStack Android MAUI Test (#23383)
009cae0 [js/webgpu] Optimize ConvTranspose (Continue) (#23429)
04a4a69 Use onnx_protobuf.h to suppress some GCC warnings (#23453)
2e3b62b Suppress some strict-aliasing related warnings in WebGPU EP
(#23454)
b708f9b Bump ruff from 0.9.1 to 0.9.2 (#23427)
c0afc66 [WebNN] Remove workarounds for TFLite backend (#23406)
8a821ff Bump vite from 6.0.7 to 6.0.11 in
/js/web/test/e2e/exports/testcases/vite-default (#23446)
220c1a2 Make ORT and Dawn use the same protobuf/abseil source code
(#23447)
b7b5792 Change MacOS-13 to ubuntu on for
android-java-api-aar-test.yml. (#23444)
19d0d2a WIP: Dp4MatMulNBits accuracy level 4 matmul for WebGPU EP
(#23365)
95b8eff [QNN EP]: Clean up QNN logging resources if an error occurs
during initialization (#23435)
626134c Bump clang-format from 19.1.6 to 19.1.7 (#23428)
0cf9753 Fix eigen external deps (#23439)
f9440ae Moving RN_CI Android Testing to Linux (#23422)
1aa5902 [QNN EP] workaround for QNN validation bug for Tanh with
uint16 quantized output (#23432)
7f5582a Seperate RN andriod and IOS into 2 separated Stages. (#23400)
73deac2 Implement some missing element wise Add/Sub/Mul/Div/Neg
operations for CPU and CUDA EPs (#23090)
949fe42 Upgrade Java version from react-native/android to Java 17
(#23066)
0892c23 Update Qnn SDK default version to 2.30 (#23411)
94c099b Fix type cast build error (#23423)
d633e57 [WebNN EP] Fix AddInitializersToSkip issues (#23354)
e988ef0 [QNN EP] Fix regression for MatMul with two quantized/dynamic
uint16 inputs (#23419)
7538795 Update onnxruntime binary size checks ci pipeline's docker
image (#23405)
6c5ea41 Revert "[QNN EP] Clean up correctly from a partial setup
(#23320)" (#23420)
e866804 Enable comprehension simplification in ruff rules (#23414)
0a5f1f3 bugfix: string_view of invalid memory (#23417)
4cc38e0 fix crash when first input of BatchNormalization is 1-D
(#23387)
0334414 Target py310 and modernize codebase with ruff (#23401)
87341ac [QNN EP] Fix segfault when unregistering HTP shared memory
handles (#23402)

### Motivation and Context
This update includes the change to make QNN-EP a shared library.

---------

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: Adrian Lizarraga <[email protected]>
Co-authored-by: Justin Chu <[email protected]>
Co-authored-by: Yulong Wang <[email protected]>
Co-authored-by: Edward Chen <[email protected]>
Co-authored-by: Changming Sun <[email protected]>
Co-authored-by: Peishen Yan <[email protected]>
Co-authored-by: Tianlei Wu <[email protected]>
Co-authored-by: Hector Li <[email protected]>
Co-authored-by: Jian Chen <[email protected]>
Co-authored-by: Alexis Tsogias <[email protected]>
Co-authored-by: junchao-zhao <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: sushraja-msft <[email protected]>
Co-authored-by: Wanming Lin <[email protected]>
Co-authored-by: Jiajia Qin <[email protected]>
Co-authored-by: Caroline Zhu <[email protected]>
guschmue pushed a commit that referenced this pull request Mar 6, 2025
…23402)

### Description
- Fixes segfault when the function that cleans up HTP memory handles
uses an invalid Logger.
- Fixes unit test that compares output from QNN EP with exact float
values. QNN HTP runs float32 models with float16 precision, so need to
use a tolerance in the comparison.



### Motivation and Context
Fixes issues with using QNN HTP memory sharing on Windows ARM64. This is
also needed to test HTP shared memory with
#23120.
ashrit-ms pushed a commit that referenced this pull request Mar 17, 2025
…23402)

### Description
- Fixes segfault when the function that cleans up HTP memory handles
uses an invalid Logger.
- Fixes unit test that compares output from QNN EP with exact float
values. QNN HTP runs float32 models with float16 precision, so need to
use a tolerance in the comparison.



### Motivation and Context
Fixes issues with using QNN HTP memory sharing on Windows ARM64. This is
also needed to test HTP shared memory with
#23120.
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