* 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 centos tests to linux cpu ci pipeline
* Disable failing test
* use centos6 instead of centos7
* change back to centos7
* add dotnet runtime dependency
* fix dotnet runtime dependencies
* install dotnet sdk instead of runtimes
* add more dotnet dependencies
* temporary skip failing test
* ix lib path
* reenable failing test
Remove gsl subodule and replace with a local copy of gsl-lite
Refactor for onnxruntime::make_unique
gsl::span size and index are now size_t
Remove lambda auto argument type detection.
Remove constexpr from fail_fast in gsl due to Linux not being happy.
Comment out std::stream support due to MacOS std lib broken.
Move make_unique into include/core/common so it is accessible for server builds.
Relax requirements for onnxruntime/test/providers/cpu/ml/write_scores_test.cc
due to x86 build.
Add ONNXRUNTIME_ROOT to Server Lib includes so gsl is recognized
1. remove sudo from the cleanup step for Linux so that we don't need the sudo access for vstsagent build user
2. a minor fix in the install_ubuntu.sh to make the image smaller for openvino
* Bump onnx to latest
Update onnx.in.proto with changes for SparseTensor.
* add temp skip tests
* remove passed tests from skip list
* skip more tests for new ops in opset 11
* skip crashing tests
* update handling of new attribute types sparse tensor and sparse tensors
* advance onnx commit and remove skip cpu_flaky_tests
* temporarily skip yolo3 model test due to resize opset10 shape inference regression
* update proto for onnxruntime server
* advance onnx commit further
1. Add openvino GPU nightly build pipeline, this test is running on Intel Up square Edge device. The device are host locally not from Azure VM. We persist a smaller model test data on Edge device.
2. Update the build condition for openvino GPU so it works for GPU_FP32, GPU_FP16
3. add option to install_ubuntu.sh to exclude the package used for nuphar, so that we can save some disk space as the Edge device usually have limited disk space.
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
* remove memory copy between CUDA and TRT
* add info to RegisterExecutionProvider input
* use new IDeviceAllocator for trt allocator
* remove SetDefaultInputsMemoryType from TRT EP
* remove onnx-tensorrt 5.0
* add submodule onnx-tensorrt branch 5.1
* remove redundancy
* Update transformer_memcpy.cc
* Update tensorrt_execution_provider.cc
* switch to TensorRT 5.1.5.0
* update python binding
* disable failed test case on TensorRT
* Update activation_op_test.cc
* upgrade to TensorRT container 19.06
* update according to feedback
* add comments
* remove tensorrt allocator and use cuda(gpu) allocator
* update onnx-tensorrt submodule
* change ci build cuda directory name
* Add MacOS leg of Python packaging job
* Update copy files source directory for Mac OS leg
* Add a task to display the binaries directories contents after build wheel creation
* Revert some changes
* Add task to log
* Update
* Remove unnecessary logs
* Update DNNLibrary
* Allow fp16 by default
* Add nnapi build in ci
* Fix nnapi ep after #1268
* Remove unused variables
* Support nnapi in onnx_test_runner
* Update DNNLibrary to fix tests
* Update build.py for android build support, solve conflict of
tools/ci_build/build.py
* Support non-ARM Android build, solve conflict of tools/ci_build/build.py
* Enable android test by x86_64 android emulator
* Add dnnlibrary/NNAPI support in build.py
* suppress the verbose adb output
* Remove debug logs
* Install cmake by pip
* Fix undefined host_protoc_path
* cmake==3.13.2 in pypi is actually 3.12.2, so install 3.13.2.post1 instead
* Fix Android ARM64 build
* Use android ndk r20 instead of r19c, fix conflicts in install_deps_android.sh
* sync onnx to get equal op with float support
* doc update
* fix test failure because of updated shape inference logic for roialign.
* filter consum test cases since it's not implemented yet.
* replace log sinks
* limit headers to include dir
* first changes to do dynamic linking
* wip for using cxx api
* remove weird dangling dependency
* building with tests failing
* finish updating converters
* fix const
* intital introduction of typedef
* change logging to use spdlog
* get tests passing
* clang format
* map logging levels better
* clean up unused imports
* trent cr comments
* clang-format
* code review comments
* changing buffer use to reserve
* Dynamically link
* revert tvm
* update binary uploading
* catch exceptions by const-ref
* Revert "revert tvm"
This reverts commit 387676dd1018134d15eb71fa126f7caf94380800.
* fix typo
* update versioning of lib
* 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
* call install_onnx with relative path
* use caller path
* get abs path of current script
* process unicode char
* replace script name
* add suffix as part of match
* match only the end of path
