* Added config flags for VPU Fast Recompile
* clean-up ifdefs
* Add VPU Fast compile config option
Adds an option that enables Fast compilation of models to VPU
hardware specific format.
* Add config option to choose specific device id for inference
Inference of all subgraphs will be scheduled only on this device
even if other devices of the same type are available.
* Add Python API to list available device IDs
* code cleanup
* Add second C/C++ API with settings string parameter
Adds an additional C/C++ API that allows passing multiple
key-value pairs for settings as a single string. Multiple
settings are delimited by '\n' while the key and value
within a setting are delimited by '|'.
* Append 'Ex' to the extended C/C++ API
* Use set_providers Py API to set config options.
Uses Session.set_providers Python API to set EP runtime config
options as key/val pairs
Deprecated older module function definitions for config settings.
Updates documentation.
* avoid globals for py config options where possible
Co-authored-by: intel <you@example.com>
* Add minimal build option to build.py
Group some of the build settings so binary size reduction options are all together
Make some cmake variable naming more consistent
Replace usage of std::hash with murmurhash3 for kernel. std::hash is implementation dependent so can't be used.
Add initial doco and ONNX to ORT model conversion script
Misc cleanups of minimal build breaks.
* cancel night build on pyop
* setup ci pipeline for build of reduced ops
* add back c# test
* remove debugging print
* add testing model
* add more arg in pipeline script
* disable pipeline trigger temporarily
* fix yaml format
* fix yaml format
* fix pipeline error
* rid c# test
* add ops for test cases
* add Conv from domain com.microsoft.nchwc
* remove --reduce_ops
* fix typo
* remove --build_java
* add test case for excluded op
* update doc with --skip_test
* formatting code, renaming files and simplify yaml
* remove debug build from yaml
* remove surplus ops from included_ops.txt
* add MinSizeRel build to yaml
* rename test cases and models
* exclude ir test from minimum build
* restrict ir test to be only applied to reduced ops build
* Add support for sharing allocators
* Incremental update
* Address some PR comments, add unit tests, add documentation.
* Address PR comments, add tests and some documentation.
* Fix build and test issues
* Remove RegisterAllocator API restoring the OrtAllocator interface changes. Changed docs to reflect this.
Also fixed the orttraining segfault. The segfault was because in the case of training session,
the CPU exec prov is not available at the time the transformers are applied. Changed it to create
a new one.
* cancel night build on pyop
* add rewriter to rewrite cpu provider
* skip BuildKernelCreateInfo<void>
* refactor variable name and comment
* include ops from csv file
* process multiple eps
* add default function to cuda provider
* rename function and add license header
* fix import
* add doc
* fix typo
* deal with empty kernel entry in cuda
* rename the rewriter file
* add comment into provider file
* add comment and rename function
* log warnings
* refactor extracting logic
* add entry for script to run solo
* add better example
* avoid onnx importing
* fix flake8 alerts
* minor fixes to better comments and doc
* add entries for all domains
* add void entry into contrib providers
* format cuda_contrib_kernels.cc
* format cpu_contrib_kernels.cc
* add all providers
* add default entry to all providers
* include op_kernel header
* cancelling change in providers beyond cpu/cuda
* rename file and switch file format to domain;opset;op1,op2...
* update doc
* restore non-regular ending grammar in cuda_contrib_kernels.cc
* add ort_root as input argument of script
* enable test in ci
* update doc
* update doc
* revert change on linux gnu ci
* switch to set to host ops
* simplify trimming logic
* add domain map to track current model
* allow ort_root to take relative path
* Removed building ngraph from source
* Disabled some tests temporarily
* Enabled softmax for all dims
* Added onnx importer to link libraries
* int64 changes
* fixed
* temp
* slice update start and end need to be initializer
* Disabled GatherND, ScatterND, ReverseSequence operators
* Added supported ops instead of unsupported ops
* Set precision only for CPU
* Removed some unecessary conditions
* Fixed segfault in slice
* Softmax restriction removed
* changes
* Setting precision for all plugins
* Changes added to include precision
and supported ops for gpu and vpu
* branch op support
* checking for disabled python test failure
* mapped input names and tensors directly rather than copying which was leading to mismatch
* last index is not supported
mkldnn does not support pow between integers
* included the code changes
* Rename inner-scoped variable to avoid MSVC warning
* applied changed to vadm as well and removed the utility function
getinputtensors() completely
* OpenVINO multi version support: CMake changes
* OpenVINO multi version support: C++ support
* removed commented code
* Remove redundant code lines
* Revert "Rename inner-scoped variable to avoid MSVC warning"
This reverts commit 2f650493162675bc6fb70730de9656ec400be332.
Merged separately in master.
* vadm changes disabled reduction op test
* putting test_gather_negative_indices in unsupported list for now
* Update MCR Dockerfile with 2020.4
Installs OpenVINO 2020.4 from deb packages via APT tool.
* Update build docs with 2020.4 info
* Update dockerfile with OV 2020.4 info
Instructions for building OpenVINO based docker image no longer require
downloading installer package as it is installed by the dockerfile
using OpenVINO 2020.4 APT package for Ubuntu 18.04
* Added constant folding bypass logic
* Added cout statements for ci
* Added NDEBUG flag for debug symbols
* Update Ops info in docs
* fixes multiple unit tests
* mathoptest.ceil disabled for gpu and myriad
* activation test temp disabled
* Fix models for CPU
* Fixed a syntax error
* local cmmit
* fixing unit tests for myriad
* Fixed Variadic Split, Topk issues
* fix_model commit
* Fix models in myriad
* Added ifdefs for OpenVINO 2020.4
* temp
* made some changes to not operator
* Added unused parameter
* relu enabled
* Fixed bug in Conv output
* Consolidated GPU failing tests into one category
* Made it compatible to InternalCI 2020.4
* Made changes for ngraph
* Disabled test for mask,fastercnn,tinyyolov3
* Removed proxy for ci
* run_dockerbuild.sh restored to same version
* run_dockerbuild.sh restored to same version
* run_dockerbuild.sh restored to same version
* Updated documentation for 2020.4
* Removed FP32 to FP16 transformation for GPU
* Disabled Coreml-FNS-Candy model test
* Added FP16 transformations
Co-authored-by: sfatimar <sahar.fatima@intel.com>
Co-authored-by: Manohar Karlapalem <manohar.karlapalem@intel.com>
Co-authored-by: sfatimar <sahar.fatima@intel/com>
Co-authored-by: sfatimar <64512376+sfatimar@users.noreply.github.com>
Co-authored-by: intel <you@example.com>
Co-authored-by: gundaarx <aravindx.gunda@intel.com>
* Sahar/csharp support openvino (#4703)
* Temp changes and include openvino to ensure nuget package is created with linux till we configure azure ci pipeline
* string id change
* native nuget indentation changes
* documentation changes
* Update Openvino_execution_provider.md
Documentation includes openvino execution provider
* Update OpenVino-ExecutionProvider.md
update details to build csharp api for openvino execution provider .
* vadm backend revert
* Update Openvino-Execution-Provider.md
updated for review comments
* Update OpenVino-Execution-Provider.md
* Update OpenVINO-ExecutionProvider.md
* nuget package custome support for openvino
change in native nuget spec python script for including linux runtime
* change to make path to boolean flag
* removed the tab
* Update OpenVINO-ExecutionProvider.md
updated for review comments
* chnages to include pep8 warnings
modification to documentation
Co-authored-by: saharfraza <sfatima.3001@gmail.com>
Co-authored-by: sfatimar <sahar.fatima@intel/com>
* Changes to include csharp support for openvino
* Fix flake error
* Fix
Co-authored-by: sfatimar <64512376+sfatimar@users.noreply.github.com>
Co-authored-by: saharfraza <sfatima.3001@gmail.com>
Co-authored-by: sfatimar <sahar.fatima@intel/com>
* Temp changes and include openvino to ensure nuget package is created with linux till we configure azure ci pipeline
* string id change
* native nuget indentation changes
* documentation changes
* Update Openvino_execution_provider.md
Documentation includes openvino execution provider
* Update OpenVino-ExecutionProvider.md
update details to build csharp api for openvino execution provider .
* vadm backend revert
* Update Openvino-Execution-Provider.md
updated for review comments
* Update OpenVino-Execution-Provider.md
* Update OpenVINO-ExecutionProvider.md
* nuget package custome support for openvino
change in native nuget spec python script for including linux runtime
* change to make path to boolean flag
* removed the tab
* Update OpenVINO-ExecutionProvider.md
updated for review comments
* chnages to include pep8 warnings
modification to documentation
Co-authored-by: saharfraza <sfatima.3001@gmail.com>
Co-authored-by: sfatimar <sahar.fatima@intel/com>
* update java API docs
* fix link
* rearrange
* update platforms, use table
* use javadoc.io
* craigacp tested it in java 14
* update link
* fix broken link
* fix testdata link
* Update Versioning.md
Update documentation to cover latest Windows 10 release (Vb) and the NuGet packages.
* PR feedback.
* readability changes
* spell out Windows ML Availability
* build engine in runtime for dynamic shape subgraphs
* Update TensorRT-ExecutionProvider.md
* Update TensorRT-ExecutionProvider.md
* fix build issue
* Add more instructions on how to use engine caching
* add precision to trt node name
* Update tensorrt_execution_provider.cc
* Update tensorrt_execution_provider.cc
Create N-1 threads in a thread pool when configured with intra-op parallelism of N. This ensures we have N active threads, given that the main thread also runs work. To avoid ambiguity on the value returned, rename ThreadPool::NumThreads method to ThreadPool::DegreeOfParallelism, and make corresponding updates in MLAS and operators.
* Add amd migraphx execution provider to onnx runtime
* rename MiGraphX to MIGraphX
* add migraphx EP to tests
* support multiple program output
* disable more tests
* backup changes related to program multiple outputs
* remove logging code
* remove unnecessary changes in migraphx_execution_provider.cc
* add migraphx EP to tests
* add input requests of the batchnorm operator
* add to support an onnx operator PRelu
* update migrapx dockerfile and removed one unused line
* chagnes related to support dynamic input shape
* fix build error
* code backup
* code backup
* version that has 106 models run correctly
* code backup
* code backup
* remove unnecessary print info
* code backup
* code backup
* code backup
* code backup
* code backup
* code backup
* changes corresponding to migraphx change
* fix merge conflict
* minor code cleanup
* code cleanup
* remove unnecessary code
* remove unnecessary code
* add to support more constant folding analysis
* more constant folding checking for shape input
* add env var to control whether fp16 is enabled. Modify docker file to use ROCM3.3
* fix function name to avoid build error
* add build and execution instruction for migraphx execution provider
* added more build instructions
* fixed a small format error
* a minor change
* fix review comments
* another minor change
* additional refinement of the documents
* additional changes
* remove unnecessary changes in the dockfile
* additional changes for the dockerfile
* code change backup
* fix errors related to a few unit tests
* fix a build error related to api change
* fix unit test errors by either disabling the test or fix related isssues
* remove unnecessary log info
* sync submodule tvm with master
* remove unnecessary changes
* remove an unnecessary code line
* refine documents for addition example
* Add ArmNN Execution Provider
Add a new execution provider targeting Arm architecture based on ArmNN.
Validated on NXP i.MX8QM CPU with ResNet50, MobileNetv2 and VGG models.
reviewed-by: mike.caraman@nxp.com
* Minor fixes
- renamed onnxruntime_ARMNN_RELU_USECPU to onnxruntime_ARMNN_RELU_USE_CPU
- fixed acl typo
* remove extra includes. added exception for ArmNN in test
* fix indentation
* Separated the activation implementation from the cpu and fixed the blockage from the endif
Co-authored-by: Andrei-Alexandru <andrei-alexandru.avram@nxp.com>
* Initial update of readme
* Readme updates
* Review of consolidated README (#3930)
* Proposed updates for readme (#3953)
I found some of the information was duplicated within the doc, so attempted to streamline
* Fix links
* More updates
- fix build instructions
- nodejs doc reorganization
- roadmap update
- version fixes
* Update ORT Server build instructions
* More doc cleanup
* fix python dev notes name
* Update nodejs and some links
* sync eigen version back to master
* Minor fixes
* add nodsjs to sample table of content
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* address PR feedback
* address PR feedback
* nodejs build instruction
* Update Java instructions to include gradle
* Roadmap refresh
Reformat some data, fix link, minor rewording
* Clarify Visual C++ runtime req
Co-authored-by: Nat Kershaw (MSFT) <nakersha@microsoft.com>
Co-authored-by: Prasanth Pulavarthi <prasantp@microsoft.com>
Co-authored-by: manashgoswami <magoswam@microsoft.com>
Update Android build instructions to provide more information.
Add info on testing directly on Android
Update build.py to better support using Ninja generator to build Android on Windows.
* Enable running PEP8 checks via flake8 as part of the build if flake8 is installed.
Update scripts in \tools and \onnxruntime\python. Excluding \onnxruntime\python\tools which needs a lot more work to be PEP8 compliant. Also excluding orttraining\tools for the same reason.
Install flake8 as part of the static_analysis build task in the Win-CPU CI so the checks are run in one CI build.
Update coding standards doc.
