* Disable Attention fusion tests when DISABLE_CONTRIB_OPS is defined (#2529)
* Setup java ci (#2528)
* Add provision in ORT for session options to be parsed when available via model file (#2449)
* Initial commit
* Fix gitmodules
* Nits
* Nits
* Updates
* Update
* More changes
* Updates
* Update
* Some updates
* More changes
* Update
* Update
* Merge
* Update
* Updates
* More changes
* Update
* Fix nits
* Updates
* Fix warning
* Fix build
* Add comment
* PR feedback
* PR feedback
* Updates
* Updates
* Update
* More changes
* Fix build break
* Comment test for now
* Updates
* Updates
* PR feedback
* Updates
* Nits
* Add tests
* Fix build
* Fix build
* Fix build
* Fix build break
* Fix build
* Nits
* PR feedback
* More change
* Expose GetSessionOptions in pybind logic and add unit test for python
* Fix build
* PR feedback
* PR feedback
* Revert "Disable thread pool creation when enabled OpenMP (#2485)" (#2535)
This reverts commit 7c7d5a149c.
* Add dynamic shape support in TensorRT execution provider (#2450)
* remove onnx-tensorrt submodule
* add new onnx-tensorrt submodule (experiment) for trt6
* update engine build for trt6
* update compile and compute for tensorrt6.0
* Update tensorrt_execution_provider.cc
* Update tensorrt_execution_provider.cc
* Update tensorrt_execution_provider.cc
* Update tensorrt_execution_provider.cc
* switch to onnx-tensorrt master for TensorRT6'
* Update tensorrt_execution_provider.cc
* Handle dynamic batch size and add memcpy in TensorRT EP
* update test cases
* Update tensorrt_execution_provider.cc
* update onnx-tensorrt submodule
* Update Dockerfile.ubuntu_tensorrt
* Update Dockerfile.ubuntu_tensorrt
* Update run_dockerbuild.sh
* Update run_dockerbuild.sh
* Update install_ubuntu.sh
* Update concat_op_test.cc
* Update tensorrt_execution_provider.cc
* Upgrade TensorRT to version 6.0.1.5
* Update onnxruntime_providers.cmake
* Update CMakeLists.txt
* Update reduction_ops_test.cc
* Update install_ubuntu.sh
* Update Dockerfile.ubuntu_tensorrt
* Update Dockerfile.tensorrt
* Update BUILD.md
* Update run_dockerbuild.sh
* Update install_ubuntu.sh
* Update onnxruntime_providers.cmake
* Update install_ubuntu.sh
* Update install_ubuntu.sh
* Update gemm_test.cc
* Update gather_op_test.cc
* Update CMakeLists.txt
* Removed submodule
* update onnx-tensorrt submodule
* update header file
* Removed submodule
* add submodule onnx-tensorrt kevin's branch shape-test'
* add debugging code
* Update tensorrt_execution_provider.cc
* Update tensorrt_execution_provider.cc
* merge master
* Removed submodule
* update onnx-tensorrt submodule
* add more changes for dynamic shapes
* Update tensorrt_execution_provider.cc
* update for dynamic shape
* update dynamic shape processing
* fix logger issue
* remove submodule onnx-tensorrt
* add submodule onnx-tensorrt
* add env variable min_subgraph_size
* remove redundency
* update document
* use onnxruntime::make_unique
* fix multi-run issue
* remove some tests to save CI build time
* Add dynamic shape test
* Update TensorRT-ExecutionProvider.md
* Add example of running Faster R-CNN model on TensorRT EP
* Add more details on env variables
* update environment variables
* Update tensorrt_basic_test.cc
* Update model tests
* Update tensor_op_test.cc
* remove --use_full_protobuf
* Update build.py
* User/xianz/telemetry (#2458)
* enabme telemetry
* enable telemetry
* set enable telemetry as default
* for debugging
* remove log and set disable telemetry as default back
* delete private file while testing
* resolve comment: mainly add license header, rename macro and update docs
* rewording in privacy.md
* Fix integer overflow in cuda NonMaxSuppression implementation (#2540)
* add test case that should pass but fail
* fix nms
* extract int_max_output_boxes_per_class
* Introduce container type runtime checks and other improvements (#2522)
Rework TensorSeq in a manner consistent with Tensor and SparseTensor
in terms of type system setup.
Reduce templating. Introduce helpers to ensure the same
data type.
Make OrtValue __dtor not virtual.
Introduce ContainerChecker
* Fix C API tests for centos and mac (#2544)
* change c++14 to c++11
* add ld lib path for centos
* enable csharp tests on macos
* fix C API test on MacOS + fix manylinux dotnet install
* fix manylinux dotnet install
* fix lib link
* Add back executable bit to build.py
* Fix a bug handling negative begin pad values in Pad op (#2550)
* Fix bug in Pad op
* Update
* DNNL CMAKE update (#2548)
* Fix android build (#2558)
* Update win-x86-ci.yml (#2557)
Fix build pipeline break
* Re-enable Windows C# tests (#2564)
* disable onnx_test_runner -x invocations for dnnl (#2568)
* Allow sequence length to be symbolic (#2559)
* setup java ci mac (#2570)
* make layernorm fusion to support opset 11 (#2545)
* Fix a warning found in the latest VS release
* Add more check on SkipLayerNorm and BiasGelu fusion (#2574)
* Fix file not found error during docker build. (#2569)
* Add ConvTranspose1D (#2578)
* Ryanunderhill/packagename test (#2582)
* [Nuphar EP] fixes for some object detection models (#2581)
Update notebook tutorial with multi-threaded int8 GEMM from #2517
* EmbedLayerNormalization Fusion Improvement (#2553)
Embedding layer norm fusion improvements - add more checks
* Update version (#2584)
* Temporarily exclude vgg19 test from Python backend test
1. temporarily exclude vgg19 test which comsumes too much memory, run out of memory on Upsquared device. Single test pass for vgg19, need furture investigation (#2588)
2. Update docker file to decrease the docker image size
* Update docs for Android NNAPI EP (#2586)
* Fix lto bug for protobuf and ubuntu
* add path to build dir before test run (#2590)
* Add missig env variables for mac pipeline test (#2595)
* Fixed an issue in updating realized dims (#2597)
when we update realized dims for scan's output, the sliced axis also
needs to be inclusive, i.e. we should check with "dim >= insert_inclusive_axis",
because the offset in the symbols are based on Scan sugraph.
Otherwise, we would end up with shape mismatch later.
* Java API for onnxruntime (#2215)
* Add support for opset 11 in reshape fusion (#2592)
Support opset verion 11 in reshape fusion
* Rename automl python tools folder to featurizer_ops. (#2593)
* Support opset 11 subgraph of Squad model in Embed Layer Normalization (#2605)
Support opset 11 Squad model that is exported from PyTorch nightly. The embed layer uses Range op which is missed in the transformer.
* symbolic shape inference: fix warnings in GPT-2 model (#2608)
And revise nuphar perf test on BERT squad
* Dump subgraph ID and fused graph ID (#2607)
* Dump subgraph ID and fused graph ID
Dump subgraph ID and fused graph ID for better debugging
* Remove local static fused_count
added a field global_fused_count_ to NupharExecutionProvider class
* EmbedLayerNormalization Fusion For Dynamic Squad Model Opset 10 (#2613)
Support subgraph of SQuAD model exported from pytorch with dynamic input axes
* Allow providers to be set for InferenceSession at construction (#2606)
* Remove unnecessary parameter in some places in GatherElements implementation (#2612)
* Remove unnecessary parameter in some places
* Update
* Update
* Make sure fenced tensor could not reuse other tensor. (#2561)
Fix random error caused by this.
* Improve Embed Layer Norm Fusion for SQuAD with static input shape (#2621)
* fix float16 comparison in initializer (#2629)
* epsilon attribute for layernormalization fusion (#2639)
* removed unnecessary batch file and fix path (#2640)
* Add shape inference to ConvTransposeWithDynamicPads schema (#2632)
* Improve cuda expand() opeator's performance. (#2624)
* Cuda pad optimize when no padding is needed. (#2625)
* Shortcut cuda Pad() when no padding is needed.
* Optimize cuda scatter() on 2D compatible. (#2628)
* Optimize cuda scatter() on 2D compatible.
* Add some comments.
* fix build error for ARM (#2648)
* Improve performance of resize() in Nearest mode (#2626)
Special treatment for 2D, check same size as input image.
And in 2d kernel, template use_expolation.
* Fix memory exception in Layer Norm Fusion (#2644)
* Windows CI changes(#2650)
* Revert "User/orilevari/windowsai master merge (#2674)"
This reverts commit fe26146311.
merge resolutions included pulling in telemetry logic that was merged to master and not windowsai and dereferencing InferenceSession::sessionstate now that it is a unique pointer
- Add --skip_tests option to build.py based on github feedback
- Add debug output at end of run_subprocess so it's clearer when the output is from a different process running
- Add check for scipy as it's required by gen_test_models.py for the onnx tests
- Use log.warning instead of warnings.warn for consistency. We use the logger almost everywhere and somewhat randomly used warnings.warn in two places.
- Add check for 'wheel' dependency not being found in setup.py and handle more gracefully
- Fix invalid input name in Keras tests
* Fixed a bug of missing tvm in python wheel
* Put Nuphar Python scripts into wheel
* Add note book tutorial
* Some improvements in symbolic shape inference for quantized models
* add mimalloc submodule
* basic hooks into execution provider header and build script option
* pull mimalloc into build
* windows has to use the override vcxproj already set up, and disable bfcarena when using mimalloc
* fix import_location
* generalize build msbuild command
* add mimalloc dependency to python package as well as various commenting cleanups
* update mimalloc commit as stop gap
* include mimalloc changes from master
* create capi directory if doesn't exist for mimalloc copying over
* disable runtime hooks and remove old comment
* temporary change to test CI
* fetch the mimalloc output name property
* uniformly call target_link_libraries
* query cmake to get the correct windows sdk to target
* revert change to trailing directory slash
* pickup windows sdk off msbuild path if possible
* copy the produced dll/so at install time, not configure time
* deal with mimalloc unimplemented atomic
* move to dev branch of mimalloc to avoid atomic issues on gcc
* for windows specify solution settings (x86) rather than individual project settings
* pin mimalloc submodule to updated commit
* typo
* Revert "temporary change to test CI"
This reverts commit 764867376936a5d307dded3cc37f00a34e3b0c96.
Enable Nuphar EP docker build
Revert back to LLVM 6.0.1
Reinstate disabled Softmax tests caused by LLVM 8.0.1
Reinstate Nuphar Python test due to stale sympy version
Increase build timeout of Linux CI
* Update cuda for python wheels
* Update cuda for python wheels
* Update cuda for python wheels
* Update azure-pipelines-py-packaging.yml
* Update to cuda 10
* Only test win gpu
* Update cuda for python wheels
* Use manylinux2010 image to build linux python wheels
Allow wheels built to truly be compliant with a manylinux policy
* Initial commit for OpenVINO Execution Provider
OpenVINO Execution Provider provides the interface for ONNX Runtime
applications to access Intel's hardware accelerators using Intel's
OpenVINO Toolkit.
* Fixed bug in GetCapability to disable custom ops
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Added OPENVINO ci pipeline
Added new pipeline for openvino provider,
made changes to support the docker build and
onnxruntime build with openvino.
Signed-off-by: Luis Daniel Castellanos <luis.daniel.castellanos@intel.com>
* Enabled all unit tests for OpenVINO EP
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Fixed syntax issue in run_docker_build.sh file
* Added missing default OPENVINO_VERSION
Default value for OPENVINO_VERSION env was
missing causing the build to fail
* Added install Model Optimizer deps step
* Fixed python unit tests and some tests from onnx_backend_test_series
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Fixed indentation bug
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disabled some of the python backend tests for OpenVINO
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disabled some model tests
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Remove Duplicate checks for openvino in build.py
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Modified GetCapability for FP16
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disabled GPU FP32 tests that are not supported
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Convert modelProto to string and use it in compile
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Pass byte-array input args to MO
* Serialized ModelProto passed in-memory to MO
ModelOptimizer python module receives the serialized ModelProto
in-memory.
Uses appropriate ONNX function to load the serialized bytes.
* Make Py_Finalize compatible with older python versions
Also, remove pFunc unassigned variable possibility.
* Fallback if input dims of Matmul is greater than 2
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* fixup: Device #define syntax
* Updated the documentation
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Enable dynamic dim value
* removed commented out code
* Added Dockerfile for openvino EP
Updated instructions on dockerfiles/README.md file
Signed-off-by: Luis Daniel Castellanos <luis.daniel.castellanos@intel.com>
* Disabled fp16_inception_v1 test
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Code formatting with clang-format
Uses style from the .clang-format file in root directory.
* fixup: docker tag and build error fixes
* Heuristics to automatically detect batching
Distributes slices from batch into parallel infer-request objects.
* Handle disabled tests in GetCapability
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disabled average pool and max pool if ceil_mode is 1
Also dilations are not supported if they are greater than 1
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disabled Unsqueeze int32 test
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* changes to fix output results bug
* Disabled a few C++ unit tests for MYRIAD FP16
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Manually revert '9fe162bb Enable dynamic dim value'
Reverts compile time setting of dynamic shape
Reverting manually due to significantly huge auto-revert conflicts.
* Fixed unused variable warning
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disabled Mul test for GPU_FP16 due to accuracy issue
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* VPU documentation update
* Disabled inception_v1 for MYRIAD and HDDL
*Also disabled few C++ accuracy tests for HDDL
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* updates from upstream
* use the new CustomOpApis for I/O interfacing
* Pass initializers as subgraph meta-def inputs in GetCapability()
Requirement due to API changes introduced with PR# 1019.
* Remove obsolete functions
* Save indexes of graph inputs from fused_node info
Both inputs and initializers are passed as data inputs to the
infer function. To identify only inputs among them, save thier
index info from fused_node in Compile function.
* Documentation changes to enable VPU
* Fix VPU related changes in documentation
* Fix minor changes in documentation
* Fix VPU related changes in documentation
* Use Node.In/OutputDefs() to track graph inputs and outputs.
Don't use graph_viewer's GetInputs() or
GetInputsIncludingInitializers().
* Permit "SAME_UPPER" auto_pad attribute from MaxPool
* Disabled fp16_tiny_yolov2 in onnx model tests
* Updated documentation to include configuration guides for myriad and hddl
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Use 8 Infer requests only for VAD-R
* disable debug prints
* Clang-format source files
* Updated BUILD.md with OpenVINO R5 links
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disabled same upper python tests
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Update test exclusion syntax
* Change path of install_onnx.sh
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disable tiny_yolov2 in broken tests
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Revert "Change path of install_onnx.sh"
This reverts commit ba9db165f3be430f2aff1ef413299ed04637196a.
This change is only required for Intel internal CI pipeline until
the settings are matched with the upstream's CI pipeline.
* Added debug statements for debugging CI error
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Add --build_wheel to linux openvino pipeline
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Added -v option to onnx_test_runner for debugging
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Removed path change patch
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Added -c 1 to onnx_test_runner
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Refactor MO python invocation in separate function
Cleans up Model Optimizer python invocation check and conversion
logic. Invokes MO only once in GetCapability() and passes the
IR strings (xml and bin) to the Compiler as meta-def attributes.
* Add comments
* code cleanup and comments
* Code cleanup for GetCapability
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Removed unnecessary files
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Revert "Added -v option to onnx_test_runner for debugging"
This reverts commit d1dd70938a94d648df1a1dbbc2e48d0b97e49ec8.
* Revert "Added debug statements for debugging CI error"
This reverts commit b86d41afed2aa29c3508155d6f9c8d3a7263cc60.
* incorporate Status Code changes
* ComputeFunc returns Status::OK() on success
* Use test names to disable tests for MYRIAD and VAD-R
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Rename local identifiers from CNNNetwork to OpenVINO network
CNNNetwork is an OpenVINO's API class that represents more than
just convolutional neural networks (CNNs). Renaming helps to avoid
confusion that the API's only support CNN type models.
* Added error message if building on windows
* Removed duplicate option in Cmake
* Removed unnecessary parameters in activation_opt_test
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Refactor Map search and access logic for efficiently and cleanliness.
* use C++ style casts
* Use os.path.join for python directory path operations
* use C++ style casts
* EP classes should use onnxruntime namespace
* Clean up fixes from PR comments
* Don't explicitly shutdown Py interpreter
* Remove debug print statements
Prints will be re-enabled later with a logging mechanism with
debug/verbose printing options.
* Decrement ref counts for used pyObjects
* Restore build instructions for other compilers
Content under the "Using other compilers" section has been
accidentally deleted by a previous commit. Restoring back that
content from the latest upstream repo.
* CMake code cleanup
Code clean up, commenting and formatting of CMake code.
* Don't pass the unused device_info parameter to OpenVINOGraph ctor.
* Add support for multiple I/O data types
Adds support for the following tensor data types for graph inputs
and outputs:
1) float
2) float16
3) int32
4) int16
5) int8
6) uint16
7) uint8
* cleanup setup.py module list definition
* Deduce index of input using tracked input index map
Ignores initializers in case they are ordered before inputs.
* Removed debug statement in MO code
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* PR feedback
* Removed per_sample_tolerance for openvino
* Removed unnecessary disabled tests
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Removed debug function
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disabled tiny_yolo_v2 due to accuracy issues
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Changed the disabled reason for broken tests
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Disabled Reshape with no input
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Python formatting with Autopep8
* Minor fix for MYRIAD devices
* Added zero dimension check
*Removed setting batch size for the network
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Set the threshold to larger value for MNIST
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Removed setting higher threshold in provider_test_utils
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Check for --use_openvino in python wheel setup.py
Add openvino modules to the setup script for building the wheel
package only for --use_openvino a build option.
* Removed nullptr checks for GetNode()
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* unify version logic
* merge function to build.py
* read file to get version
* fix path issue
* format python
* use path join
* fix __init__.py
* move function to a separate file
* remove redundant
* update packaging numpy version to 1.15.0
* update version in numpy version in linux
* Install numpy 1.15.0
* Finish up numpy requirement after test
* Try fix
* Fix ci script
* Addl TPN updates (#403)
* Updated TPN
* Update batch_norm_op_test.cc
* Update ThirdPartyNotices.txt
* Update ThirdPartyNotices.txt
* Update readme with package links
* Update README.md
* Update README.md
* Update README.md
* Merged Ryan and TPN changes into single PR
* minor fix
* added mkldnn to GPU pipeline. Required by C# library as it is the default execution provider
* Bump up version number for 0.2.1 release (#420)
* updated nuget package metadata for MS compliance (#66)
* fixed metadata element -- use PackageProjectUrl instead of ProjectUrl (#67)
* Change version to 0.1.5
