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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Ryan Hill c99aa3a3f3
Ryanunderhill/cuda shared (#7626) 
* First iteration of making cuda a shared provider.
Separated out shared OpKernel change, so doing this to merge with that change.

* More cuda shared library refactoring

* More cuda shared library refactoring

* More build options tested, converted the training ops over.

* Fix merge breaks

* Fix submodules

* Fix submodules

* Fix submodules

* Fix python

* Fix compile errors

* Duplicate symbol fix

* Test fix for ROCM provider

* Another ROCM test workaround

* ROCM Build Test

* ROCM build fix

* ROCM

* ROCM

* ROCM

* ROCM

* ROCM

* ROCM test

* Reduce header dependencies

* Remove redundant namespace

* Test fix for linux

* Fix linux build

* Fix Eigen build error

* Fix unused parameter warning

* Test link error

* Another linker test

* Linker test

* Linker test

* Another test

* Another build test

* Fix linux link error

* Build test

* Fix control flow ops to use common base class with core code

* Remove extra qualifiers

* Fix template syntax for linux

* Fix cuda memory leak

* Fix pybind

* Test disabling cast

* Cleanup

* Restore cuda in test

* Remove more header dependencies

* Test not adding cuda provider to session

* Make GetProviderInfo_CUDA throw

* No-op cuda provider creation

* Fix some setup issues

* Fix memory cleanup on unload

* Diagnostics

* Don't unload library

* Add diagnostics

* Fix deleting registry at right time.

* Test disabling profiler

* Fix merge break

* Revert profiler change

* Move unloading of shared providers into Environment

* Free more global allocations before library unloads

* Add more diagnostics

* Move unloading back to the OrtEnv as there are multiple Environments created during a session.

Remove some library dependencies for tests.

* Fix more cmake files

* ERROR -> WARNING

* Fix python shutdown

* Test not using dml in pipeline

* Change python version and disable dml

* Update python version

* Test adding unload method for shared providers

* Disable DLL test

* Python test

* Revert "Python test"

This reverts commit c7ec2cfe98.

* Revert "Disable DLL test"

This reverts commit e901cb93aa.

* Revert "Test adding unload method for shared providers"

This reverts commit c427b78799.

* Point to RyanWinGPU

* Revert python version

* Fix id_to_allocator_map

* Another python exit test

* Remove extra debug messages
Try a more clean python shutdown through DllMain

* Revert DllMain idea, it didn't work

* Merge conflicts

* Fix merge with master issues.

* Comments

* Undo edit to file

* Cleanup + new training ops

* Revert yml changes

* Fix another merge error

* ROCM fix

* ROCM fix v2

* Put back Linux hack, it is necessary

* Stupid fixes

* Fix submodule out of sync

* ROCM fix 3

* ROCM 4

* Test java fix

* Fix typos

* Java test on my VM

* Fix build error

* Spotless fix

* Leave temp file around to load properly

* Fix cleanup on exit

* Fix break

* Java comments

* Remove LongformerAttentionBase workaround

* Spotless fix

* Switch yml back to regular build pool

* Revert "Switch yml back to regular build pool"

This reverts commit be35fc2a5a.

* Code review feedback

* Fix errors due to merge

* Spotless fix

* Fix minimal build

* Java fix for non cuda case

* Java fix for CPU build

* Fix Nuphar?

* Fix nuphar 2

* Fix formatting

* Revert "Remove LongformerAttentionBase workaround"

This reverts commit 648679b370.

* Training fix

* Another java fix

* Formatting

* Formatting

* For orttraining

* Last orttraining build fix...

* training fixes

* Fix test provider error

* Missing pass command

* Removed in wrong spot

* Python typo

* Python typos

* Python crash on exit, possibly due to unloading of libraries.

* Remove test_execution_provider from training build
Only enable python atexit on windows
Remove assert on provider library exit

* Still can't unload providers in python, alas.

* Disable Nvtx temporarily

* MPI Kernels for Training

* MPI Kernels part 2

* Patch through INcclService

* Oops, wrong CMakeLists

* Missing namespace

* Fix missing ()

* Move INcclService::GetInstance around to link nicer

* Missing }

* Missing MPI libraries for Cuda

* Add extra GetType functions used by MPI

* Missing Nccl library

* Remove LOGS statements as a test

* Add in a couple more missing GetType methods

* Update comments

* Missed a logging reference in mpi_context.h

* Convert aten_op to shared (due to marge with master)

* Test moving DistributedRunContext instance into shared provider layer
(with purpose error to verify it's being built properly)

* Test passed, now with fix

* Missing static

* Oops, scope DistributedRunContext to just NCCL

* Merge related issues and code review feedback.

* Merge error

* Bump to rel-1.9.1 (#7684)

* Formatting

* Code review feedback for Java build on non Windows

* Remove cupti library dependency from core library

* Test Java pipeline fix

* Linux build fix

* Revert "Linux build fix"

This reverts commit a73a811516.

* Revert "Remove cupti library dependency from core library"

This reverts commit 6a889ee8bf.

* Packaging pipeline fixes to copy cuda shared provider for tensorrt & standard packages

* Add cuda to Tensorrt nuget package

* onnxruntime_common still has a cuda header dependency

Co-authored-by: ashbhandare <ash.bhandare@gmail.com>
2021-05-20 07:53:47 -07:00
.github Don't mark issues that are marked as enhancement as stale (#6134) 2020-12-14 18:57:40 -08:00
cgmanifests add google benchmark as direct dependency (#7762) 2021-05-19 20:12:17 -07:00
cmake Ryanunderhill/cuda shared (#7626) 2021-05-20 07:53:47 -07:00
csharp Some cosmetic changes (#7741) 2021-05-18 00:02:07 -07:00
dockerfiles Install and use conda on ortmodule CI pipelines (#7530) 2021-05-03 15:52:22 -07:00
docs bumping up version number to 1.8 (#7733) 2021-05-18 09:03:37 -07:00
include/onnxruntime/core Ryanunderhill/cuda shared (#7626) 2021-05-20 07:53:47 -07:00
java Ryanunderhill/cuda shared (#7626) 2021-05-20 07:53:47 -07:00
js [JS/Web] Bug fix for Reshape Pack (#7754) 2021-05-19 11:15:47 -07:00
objectivec Update Objective-C API (#7675) 2021-05-13 18:47:22 -07:00
onnxruntime Ryanunderhill/cuda shared (#7626) 2021-05-20 07:53:47 -07:00
orttraining Ryanunderhill/cuda shared (#7626) 2021-05-20 07:53:47 -07:00
package/rpm bumping up version number to 1.8 (#7733) 2021-05-18 09:03:37 -07:00
samples Introduce ORTModule training API to ONNX Runtime 2021-03-10 10:48:10 -08:00
server Update ORT server build pipeline (#7030) 2021-03-16 18:02:09 -07:00
tools Ryanunderhill/cuda shared (#7626) 2021-05-20 07:53:47 -07:00
winml Add ability for memory arenas to "shrink" periodically (#7284) 2021-05-08 07:53:21 -07:00
.clang-format Initial bootstrap commit. 2018-11-19 16:48:22 -08:00
.clang-tidy Add remaining build options and make minor changes in documentation (#39) 2018-11-27 19:59:40 -08:00
.dockerignore Update dockerfiles (#5929) 2020-11-25 15:38:22 -08:00
.flake8 Sync ORTModule branch with master and fix tests (#6526) 2021-02-02 08:59:56 -08:00
.gitattributes Initial bootstrap commit. 2018-11-19 16:48:22 -08:00
.gitignore Add auto doc gen for ORTModule API during CI build (#7046) 2021-03-22 10:20:33 -07:00
.gitmodules add google benchmark as direct dependency (#7762) 2021-05-19 20:12:17 -07:00
build.amd64.1411.bat Initial bootstrap commit. 2018-11-19 16:48:22 -08:00
build.bat Initial bootstrap commit. 2018-11-19 16:48:22 -08:00
build.sh Add iOS test pipeline and a sample app. (#5298) 2020-09-29 13:53:11 -07:00
CODEOWNERS Add myself to CODEOWNERS for ORTModule python code (#7453) 2021-05-07 15:35:45 -07:00
CONTRIBUTING.md Add README for docs (#6626) 2021-03-12 15:14:40 -08:00
LICENSE Remove year from license (#6658) 2021-02-12 00:25:56 -08:00
NuGet.config Sync ORTModule branch with master and fix tests (#6526) 2021-02-02 08:59:56 -08:00
ort.wprp Add Tracelogging for profiling (#1639) 2019-11-11 21:34:10 -08:00
packages.config Update DirectML version to 1.5.1 and enable ARM/ARM64 builds with DML (#7511) 2021-04-30 00:49:30 -07:00
README.md Fix readme page (#7659) 2021-05-12 14:30:23 -07:00
requirements-dev.txt Sync ORTModule branch with master and fix tests (#6526) 2021-02-02 08:59:56 -08:00
requirements-doc.txt Add auto doc gen for ORTModule API during CI build (#7046) 2021-03-22 10:20:33 -07:00
requirements-training.txt Add missing Python dependencies for ORT training (#7104) 2021-03-23 18:43:19 -07:00
requirements.txt Quantization calibration refactor (#6893) 2021-03-19 01:09:11 -07:00
setup.py Ryanunderhill/cuda shared (#7626) 2021-05-20 07:53:47 -07:00
ThirdPartyNotices.txt ONNX Runtime React Native Library (#7564) 2021-05-11 10:34:40 -07:00
VERSION_NUMBER bumping up version number to 1.8 (#7733) 2021-05-18 09:03:37 -07:00

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

http://onnxruntime.ai/

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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.