Suppress some strict-aliasing related warnings in WebGPU EP #23454
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guschmue
approved these changes
Jan 22, 2025
ashrit-ms
pushed a commit
that referenced
this pull request
Jan 23, 2025
### Description
Suppress some strict-aliasing related warnings in WebGPU EP
For example:
```
/home/chasun/src/onnxruntime/onnxruntime/core/providers/webgpu/math/unary_elementwise_ops.cc:208:30: error: dereferencing type-punned pointer will break strict-aliasing rules [-Werror=strict-aliasing]
208 | float encoded_value = *reinterpret_cast<const float*>(attr);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
This PR does not really fix the problems. It just suppresses the
warnings to make build pass. Some issues related to strict aliasing may
be fixed by using std::bit_cast, which requires c++20 however.
### Motivation and Context
Build the code on Azure Linux 3 fails. To reproduce the issue, you may
get an AzureLinux3 machine and run:
```
python3 tools/ci_build/build.py --update --build --build_wheel --use_xnnpack --build_nodejs --use_webgpu --build_dir b --skip_submodule_sync --parallel --use_binskim_compliant_compile_flags --build_shared_lib --config Release
```
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
### Description
Suppress some strict-aliasing related warnings in WebGPU EP
For example:
```
/home/chasun/src/onnxruntime/onnxruntime/core/providers/webgpu/math/unary_elementwise_ops.cc:208:30: error: dereferencing type-punned pointer will break strict-aliasing rules [-Werror=strict-aliasing]
208 | float encoded_value = *reinterpret_cast<const float*>(attr);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
This PR does not really fix the problems. It just suppresses the
warnings to make build pass. Some issues related to strict aliasing may
be fixed by using std::bit_cast, which requires c++20 however.
### Motivation and Context
Build the code on Azure Linux 3 fails. To reproduce the issue, you may
get an AzureLinux3 machine and run:
```
python3 tools/ci_build/build.py --update --build --build_wheel --use_xnnpack --build_nodejs --use_webgpu --build_dir b --skip_submodule_sync --parallel --use_binskim_compliant_compile_flags --build_shared_lib --config Release
```
ashrit-ms
pushed a commit
that referenced
this pull request
Mar 17, 2025
### Description
Suppress some strict-aliasing related warnings in WebGPU EP
For example:
```
/home/chasun/src/onnxruntime/onnxruntime/core/providers/webgpu/math/unary_elementwise_ops.cc:208:30: error: dereferencing type-punned pointer will break strict-aliasing rules [-Werror=strict-aliasing]
208 | float encoded_value = *reinterpret_cast<const float*>(attr);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
This PR does not really fix the problems. It just suppresses the
warnings to make build pass. Some issues related to strict aliasing may
be fixed by using std::bit_cast, which requires c++20 however.
### Motivation and Context
Build the code on Azure Linux 3 fails. To reproduce the issue, you may
get an AzureLinux3 machine and run:
```
python3 tools/ci_build/build.py --update --build --build_wheel --use_xnnpack --build_nodejs --use_webgpu --build_dir b --skip_submodule_sync --parallel --use_binskim_compliant_compile_flags --build_shared_lib --config Release
```
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Description
Suppress some strict-aliasing related warnings in WebGPU EP
For example:
This PR does not really fix the problems. It just suppresses the warnings to make build pass. Some issues related to strict aliasing may be fixed by using std::bit_cast, which requires c++20 however.
Motivation and Context
Build the code on Azure Linux 3 fails. To reproduce the issue, you may get an AzureLinux3 machine and run: