* Update to flatbuffers v2.0.0 (#10866)
* Fix Reduced ops pipeline (#10861)
* Fix a couple of issues with the python package tools (#10858)
* Tweaks to the model utils
* Add handling for a dim_value of -1 when replacing the entire input shape. This occurs in models exported from PaddlePaddle
* make pytorch helpers accessible in package
* make QDQ helpers accessible in package
* Fix wrong percentile values returned during calibration (#10847)
* Use numpy.percentile to get the lookup value.
* Use 1.0 as float value rather than integer.
* Add missing cdf parameter for `np.percentile`.
* Use 100. instead of 1.0
* Remove print.
* Update from @yufenglee
* Add support for opset 16 to transpose optimizer. (#10841)
* Add support for opset 16 to transpose optimizer.
Only change required is for GridSample to be added to the layout sensitive ops. The existing handling for layout transpose works with that as the first input and first output are layout sensitive.
Update the optimize to be able to return an error message if it fails.
* Use separate build directories for full and mobile iOS packages. (#10835)
* Address performance issue with abseil flat_hash_table. (#10819)
When returning by value in a cross DLL call, the hash table
even though containing all the entries that are originally there
can not find at least some of them. Reverting to std::unordered_set
pending further investigation.
* Mark end of version 11 C API. (#10803)
* Mark end of version 11 C API
* Add static_assert
* avoid using LocalFree on FormatMessageW buffer (#10796)
* remove local free
* Remove local free from onnxruntime
* don't allocate
* Change to use constexpr to satisfy CPU build warning
* Integrate C-API tests into Pipelines for release packages (#10794)
* add c-api test for package
* fix bug for running c-api test for package
* refine run application script
* remove redundant code
* include CUDA test
* Remove testing CUDA EP temporarily
* fix bug
* Code refactor
* try to fix YAML bug
* try to fix YAML bug
* try to fix YAML bug
* fix bug for multiple directories in Pipelines
* fix bug
* add comments and fix bug
* Update c-api-noopenmp-packaging-pipelines.yml
* Remove failOnStandardError flag in Pipelines
* Detect runtime CUDA JIT and warn the user (#10781)
* Use cudaMalloc vs cudaDeviceSynchronize and show the total time
* Update convert_onnx_models_to_ort.py to support runtime optimizations. (#10765)
Add runtime optimization support to ONNX -> ORT format conversion script.
Replace `--optimization_level`, `--use_nnapi`, and `--use_coreml` with a new `--optimization_style` option.
* Add multithreading test and put a lock on nvinfer1::createInferRuntime() for TRT EP (#10714)
* Add multithread unit test and put lock on library call
* update code
* remove debug code
* add comment
* add one session multi-threads inference
* Put lock for build engine all the time
* Update naming and comment
* remove unnecessary lock
* Revert "remove unnecessary lock"
This reverts commit 9c2317b1d2273dec0ebdeb52160bc757839e5edc.
* Fix handling of nodes inserted by NHWC transformer. (#10904) (#10925)
* Revert "Upsample support NHWC (#10554)" (#10917)
This reverts commit bd08f11a58.
Co-authored-by: Yufeng Li <liyufeng1987@gmail.com>
* [python API] Change raise import error when `C:\Windows\System32\vcruntime140_1.dll` is not found to warning (#10927)
* remove throw if C:\\Windows\\System32\\vcruntime140_1.dll cannot be found
* Add comments and update warning message
* adding back accidentally removed line
Co-authored-by: gwang0000 <62914304+gwang0000@users.noreply.github.com>
* [js] Create npm packaging pipeline (#10886)
* create npm packaging pipeline
* fix indentations
* Update npm-packaging-pipeline.yml for Azure Pipelines
* Update npm-packaging-pipeline.yml for Azure Pipelines
* Update npm-packaging-pipeline.yml for Azure Pipelines
* react-native-ci as a template
* fix typos
* fix template paths
* add a depencendy
* change a stage name
* set different artifact name for each package
* fix typo
* Update npm-packaging-pipeline.yml for Azure Pipelines
Set a build Id for node npm package as a parameter
* Update npm-packaging-pipeline.yml for Azure Pipelines
Set a build Id for node npm package as a parameter
* Update npm-packaging-pipeline.yml for Azure Pipelines
* Follow up update for python API checking if `vcruntime140_1.dll` is available (#10927) (#10933)
Co-authored-by: Hariharan Seshadri <hasesh@microsoft.com>
Co-authored-by: Scott McKay <skottmckay@gmail.com>
Co-authored-by: Funtowicz Morgan <mfuntowicz@users.noreply.github.com>
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com>
Co-authored-by: Pranav Sharma <prs@microsoft.com>
Co-authored-by: Ryan Lai <rylai@microsoft.com>
Co-authored-by: Ryan Hill <38674843+RyanUnderhill@users.noreply.github.com>
Co-authored-by: Yi-Hong Lyu <yilyu@microsoft.com>
Co-authored-by: Yufeng Li <liyufeng1987@gmail.com>
Co-authored-by: Guoyu Wang <62914304+gwang-msft@users.noreply.github.com>
Co-authored-by: gwang0000 <62914304+gwang0000@users.noreply.github.com>
Co-authored-by: Sunghoon <35605090+hanbitmyths@users.noreply.github.com>
* update base image from 11.4.0 to 11.4.2
* update Linux TRT GPU pipeline to TRT 8.2
* update onnx-tensorrt to 8.2-GA
* disable failing TensorRT 8.2 tests.
* update pad test.
* fix
* update win trt ci pipeline to trt 8.2
* test run with cuda 11.4 and cudnn 8.2
* increase timeout
* revert
* revert
* update packaging pipelines to use trt 8.2
* fix typo
* update trt gpu perf pipeline to trt 8.2
* increase timeout
* delete deprecated ci-perf-pipeline.yml
* bump timeout
* adjust timeout packaging
* implement cuda provider
* define profiler common
* call start after register
* add memcpy event
* add cuda correlation
* format code
* add cupti to test path
* switch to CUpti_ActivityKernel3
* reset cupti path
* fix test case
* fix trt pipeline
* add namespace
* format code
* exclude training from testing
* remove mutex
* Update to CUDA11.4 and TensorRT-8.0.3.4
* update trt pool, remove cudnn from setup_env_gpu.bat
* revert pool
* test gpu package pipeline on t4
* back out changes
* back out changes
Co-authored-by: George Wu <jywu@microsoft.com>
* Merge CPU/GPU nuget pipeline
* Include TensorRT EP libraries into existing GPU nuget package pipeline
* modify to use correct YAML
* Modify for test
* modify for test
* Add depedance
* Add depedance (cont.)
* modify for test
* Add create TensorRT nuget package
* modify for test
* modify for test
* Merge CPU/GPU nuget pipeline
* Include TensorRT EP libraries into existing GPU nuget package pipeline
* modify to use correct YAML
* Modify for test
* modify for test
* Add depedance
* Add depedance (cont.)
* modify for test
* Add create TensorRT nuget package
* modify for test
* fix merge bug
* code refactor
* code refactor
* modify for test
* modify for test
* modify for test
* modify for test
* modify for test
* modify for test
* cleanup
* modify for test
* fix bug
* modify for test
* refactor
* fix bug and test
* Modify for test
* Modify for test
* Modify for test
* Modify for test
* Prepare for PR
* Prepare for PR
* code refacotr from review
* Remove naming 'Microsoft.ML.OnnxRuntime.TensorRT' to avoid confusion
* Add linux TensorRT libraries
* Remove redundant variable in YMAL
* revert file
* undo revert file
* Modify regular expression so that it can capture the correct file
* Remove newline at end of file
* small fix
* Revert to CUDA11.1 on Windows
* Add unit tests for nuget package on Linux
Co-authored-by: Changming Sun <chasun@microsoft.com>
