saymrwulf/onnxruntime
1
0
Fork 0
mirror of https://github.com/saymrwulf/onnxruntime.git synced 2026-06-26 03:00:54 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
10152 commits 2856 branches 57 tags 1.3 GiB
C++ 87.3%
Python 3.1%
C 2.4%
PureBasic 2%
C# 1%
Other 3.7%
Find a file
Changming Sun 17eaf9b053
Fix a build warning in SparseTensor code for 32-bit build configs (#18766) 
### Description
The warning is:

```

                C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(88,54): warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.1812949Z                  with
2023-12-08T20:58:48.2144272Z                  [
2023-12-08T20:58:48.2145285Z                      Derived=Eigen::Map<const Eigen::SparseMatrix<uint64_t,1,int64_t>,0,Eigen::Stride<0,0>>
2023-12-08T20:58:48.2801935Z                  ]
2023-12-08T20:58:48.2804047Z        C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(82,8): message : while compiling class template member function 'void onnxruntime::contrib::`anonymous-namespace'::SparseToDenseCsr<uint64_t>::operator ()(const onnxruntime::contrib::`anonymous-namespace'::ComputeCtx &,const onnxruntime::SparseTensor &,const onnxruntime::Tensor &,onnxruntime::Tensor &) const' [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.2806197Z        C:\a\_work\1\s\include\onnxruntime\core/framework/data_types_internal.h(302,27): message : see the first reference to 'onnxruntime::contrib::`anonymous-namespace'::SparseToDenseCsr<uint64_t>::operator ()' in 'onnxruntime::utils::mltype_dispatcher_internal::CallableDispatchableHelper::Invoke' (compiling source file C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc) [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.2871783Z        C:\a\_work\1\s\include\onnxruntime\core/framework/data_types_internal.h(438,100): message : see reference to class template instantiation 'onnxruntime::contrib::`anonymous-namespace'::SparseToDenseCsr<uint64_t>' being compiled (compiling source file C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc) [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.2893010Z        C:\a\_work\1\s\include\onnxruntime\core/framework/data_types_internal.h(414,5): message : see reference to function template instantiation 'void onnxruntime::utils::MLTypeCallDispatcher<float,double,int32_t,uint32_t,int64_t,uint64_t>::InvokeWithLeadingTemplateArgs<Fn,onnxruntime::TypeList<>,onnxruntime::contrib::`anonymous-namespace'::ComputeCtx&,const T&,const onnxruntime::Tensor&,onnxruntime::Tensor&>(onnxruntime::contrib::`anonymous-namespace'::ComputeCtx &,const T &,const onnxruntime::Tensor &,onnxruntime::Tensor &) const' being compiled [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.2894476Z                  with
2023-12-08T20:58:48.2911521Z                  [
2023-12-08T20:58:48.2912457Z                      Fn=onnxruntime::contrib::`anonymous-namespace'::SparseToDenseCsr,
2023-12-08T20:58:48.3067840Z                      T=onnxruntime::SparseTensor
2023-12-08T20:58:48.3068863Z                  ] (compiling source file C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc)
2023-12-08T20:58:48.3195854Z        C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(198,11): message : see reference to function template instantiation 'void onnxruntime::utils::MLTypeCallDispatcher<float,double,int32_t,uint32_t,int64_t,uint64_t>::Invoke<onnxruntime::contrib::`anonymous-namespace'::SparseToDenseCsr,onnxruntime::contrib::`anonymous-namespace'::ComputeCtx&,const T&,const onnxruntime::Tensor&,onnxruntime::Tensor&>(onnxruntime::contrib::`anonymous-namespace'::ComputeCtx &,const T &,const onnxruntime::Tensor &,onnxruntime::Tensor &) const' being compiled [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.3197946Z                  with
2023-12-08T20:58:48.3198565Z                  [
2023-12-08T20:58:48.3199093Z                      T=onnxruntime::SparseTensor
2023-12-08T20:58:48.3905678Z                  ]
2023-12-08T20:58:48.3907275Z        C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(198,36): message : see the first reference to 'onnxruntime::utils::MLTypeCallDispatcher<float,double,int32_t,uint32_t,int64_t,uint64_t>::Invoke' in 'onnxruntime::contrib::SparseToDenseMatMul::Compute' [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.3910999Z ##[warning]onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(88,43): Warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data
2023-12-08T20:58:48.3912734Z    182>C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(88,43): warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.3913414Z                  with
2023-12-08T20:58:48.3913660Z                  [
2023-12-08T20:58:48.3914001Z                      Derived=Eigen::Map<const Eigen::SparseMatrix<uint64_t,1,int64_t>,0,Eigen::Stride<0,0>>
2023-12-08T20:58:48.3914499Z                  ]
2023-12-08T20:58:48.3914743Z          qlinear_concat.cc
2023-12-08T20:58:48.3917082Z ##[warning]onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(92,74): Warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data
2023-12-08T20:58:48.3918624Z    182>C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(92,74): warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.5534583Z                  with
2023-12-08T20:58:48.5541266Z                  [
2023-12-08T20:58:48.5542401Z                      Derived=Eigen::Map<const Eigen::Matrix<uint64_t,-1,-1,1,-1,-1>,0,Eigen::Stride<0,0>>
2023-12-08T20:58:48.5544914Z                  ]
2023-12-08T20:58:48.5548670Z ##[warning]onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(92,63): Warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data
2023-12-08T20:58:48.5552099Z    182>C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(92,63): warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.5553712Z                  with
2023-12-08T20:58:48.5555569Z                  [
2023-12-08T20:58:48.5556779Z                      Derived=Eigen::Map<const Eigen::Matrix<uint64_t,-1,-1,1,-1,-1>,0,Eigen::Stride<0,0>>
2023-12-08T20:58:48.5558707Z                  ]
2023-12-08T20:58:48.5561428Z ##[warning]onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(93,90): Warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data
2023-12-08T20:58:48.5565624Z    182>C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(93,90): warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.5566354Z                  with
2023-12-08T20:58:48.5568185Z                  [
2023-12-08T20:58:48.5569305Z                      Derived=Eigen::Map<Eigen::Matrix<uint64_t,-1,-1,1,-1,-1>,0,Eigen::Stride<0,0>>
2023-12-08T20:58:48.5571339Z                  ]
2023-12-08T20:58:48.5574864Z ##[warning]onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(93,77): Warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data
2023-12-08T20:58:48.5577866Z    182>C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(93,77): warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.5578562Z                  with
2023-12-08T20:58:48.5580399Z                  [
2023-12-08T20:58:48.5581503Z                      Derived=Eigen::Map<Eigen::Matrix<uint64_t,-1,-1,1,-1,-1>,0,Eigen::Stride<0,0>>
2023-12-08T20:58:48.5583465Z                  ]
2023-12-08T20:58:48.5587661Z ##[warning]onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(88,54): Warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data
2023-12-08T20:58:48.5590705Z    182>C:\a\_work\1\s\onnxruntime\contrib_ops\cpu\math\sparse_dense_matmul.cc(88,54): warning C4244: 'argument': conversion from 'const __int64' to 'Eigen::EigenBase<Derived>::Index', possible loss of data [C:\a\_work\1\b\RelWithDebInfo\onnxruntime_providers.vcxproj]
2023-12-08T20:58:48.5591396Z                  with
2023-12-08T20:58:48.5593220Z                  [
2023-12-08T20:58:48.5593693Z                      Derived=Eigen::Map<const Eigen::SparseMatrix<int64_t,1,int64_t>,0,Eigen::Stride<0,0>>
2023-12-08T20:58:48.5595955Z                  ]

```
And the warning in #18195



### Motivation and Context
AB#22894

---------

Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com>
2023-12-13 11:11:13 -08:00
.config Update tsaoptions.json: update the email alias (#13448) 2022-10-26 15:56:16 -07:00
.devcontainer
.gdn Update win-ci-pipeline.yml: enable xnnpack tests (#16244) 2023-06-14 19:12:42 -07:00
.github Fix Windows TVM CI workflow (#18667) 2023-12-01 13:49:45 -08:00
.pipelines Bump DirectML version from 1.12.0 to 1.12.1 (#17225) 2023-08-20 09:55:38 -07:00
.vscode Setup default python formatter for new python plugin (#18563) 2023-11-24 18:04:48 +08:00
cgmanifests Update absl and gtest to fix an ARM64EC build error (#18735) 2023-12-07 15:55:17 -08:00
cmake [QNN EP Quantization] Add fusion preprocessing to QNN quantization (#18719) 2023-12-12 08:43:04 -08:00
csharp Eliminate intermediate string conversion buffer. (#18608) 2023-11-30 10:50:24 -08:00
dockerfiles Update dockerfiles/Dockerfile.source to avoid installing onnx (#17975) 2023-10-20 09:24:21 -07:00
docs Allow layer-wise recompute (#18566) 2023-12-12 08:44:05 +08:00
include/onnxruntime/core Allow layer-wise recompute (#18566) 2023-12-12 08:44:05 +08:00
java [java] Make the backing byte buffer in an OrtValue accessible (#16578) 2023-10-17 10:03:49 -07:00
js [js/webgpu] Provide a naive vectorized matmul algorithm (#18758) 2023-12-13 09:03:23 -08:00
objectivec Objective-C API updates (#18738) 2023-12-07 16:47:46 -08:00
onnxruntime Fix a build warning in SparseTensor code for 32-bit build configs (#18766) 2023-12-13 11:11:13 -08:00
orttraining Disable test_bert_result_with_layerwise_recompute (#18800) 2023-12-13 12:16:39 +08:00
rust Fix rust compile issues and add GH action to run build validations and tests (#18346) 2023-11-09 04:26:02 -08:00
samples Removed all the deprecated python training code and related tests and utils (#18333) 2023-11-17 18:19:21 -08:00
tools Fix a build warning in SparseTensor code for 32-bit build configs (#18766) 2023-12-13 11:11:13 -08:00
winml Update winml to use #cores - #soc cores by Default as the number of intraopthreads (#18384) 2023-11-28 09:26:48 -08:00
.clang-format Prevent GSL_SUPPRESS arguments from being modified by clang-format (#17242) 2023-08-22 18:26:53 -07:00
.clang-tidy Create clang-tidy CI (#12653) 2022-09-30 08:05:38 -07:00
.dockerignore
.gitattributes
.gitignore Build onnxruntime.dll as arm64x (#18633) 2023-12-06 16:49:00 -08:00
.gitmodules Remove onnxruntime extensions from list of gitmodules (#17615) 2023-09-19 17:12:14 -07:00
.lintrunner.toml FP16 optimizer automatically detect DeepSpeed compatibility (#18084) 2023-10-25 15:11:02 +08:00
build.bat try to find patch.exe in git default installation folder (#17106) 2023-08-10 21:48:13 -07:00
build.sh Upgrade old Python version in packaging pipeline (#16667) 2023-07-17 08:24:47 -07:00
build_arm64x.bat Build onnxruntime.dll as arm64x (#18633) 2023-12-06 16:49:00 -08:00
CITATION.cff
CODEOWNERS Add owners for public facing API files (#15288) 2023-03-30 17:16:15 -07:00
CONTRIBUTING.md Fix link to High Level Design (#11786) 2023-02-28 11:05:54 -08:00
lgtm.yml Fix lgtm C++ error (#13613) 2022-11-10 10:06:22 -08:00
LICENSE
NuGet.config
ort.wprp
ORT_icon_for_light_bg.png
packages.config Bump DirectML version from 1.12.0 to 1.12.1 (#17225) 2023-08-20 09:55:38 -07:00
pyproject.toml [ORTModule] ATen Efficient Attention and Triton Flash Attention (#17959) 2023-10-27 10:29:27 +08:00
README.md Remove "Python Checks" pipeline status from readme as that pipeline no longer exists. (#18697) 2023-12-04 13:38:36 -08:00
requirements-dev.txt ONNX 1.15 integration (#17125) 2023-09-26 14:44:48 -07:00
requirements-doc.txt
requirements-lintrunner.txt Bump linter versions (#18341) 2023-11-08 13:04:40 -08:00
requirements-training.txt ONNX 1.15 integration (#17125) 2023-09-26 14:44:48 -07:00
requirements.txt.in
SECURITY.md
setup.py [QNN EP Quantization] Add fusion preprocessing to QNN quantization (#18719) 2023-12-12 08:43:04 -08:00
ThirdPartyNotices.txt Flash Attention v2 MHA (#17227) 2023-08-31 13:52:21 -07:00
VERSION_NUMBER Bump Up Version to 1.17.0 (#17587) 2023-09-20 11:02:58 +08:00

README.md

ONNX Runtime is a cross-platform inference and training machine-learning accelerator.

ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. Learn more →

ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Learn more →

Get Started & Resources

Builtin Pipeline Status

System Inference Training
Windows Build Status
Build Status
Build Status
Linux Build Status
Build Status
Build Status
Build Status
Build Status		 Build Status
Build Status
Build Status
Mac Build Status
Android Build Status
iOS Build Status
Web Build Status
Other Build Status

Third-party Pipeline Status

System Inference Training
Linux Build Status

Data/Telemetry

Windows distributions of this project may collect usage data and send it to Microsoft to help improve our products and services. See the privacy statement for more details.

Contributions and Feedback

We welcome contributions! Please see the contribution guidelines.

For feature requests or bug reports, please file a GitHub Issue.

For general discussion or questions, please use GitHub Discussions.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

License

This project is licensed under the MIT License.