Implement pipeline event generator with OneFWOneBW schedule in timeline. Each stage of pipeline contains FW and BW of a subset of the model and are scheduled in one worker thread for each microbatch.
* Add notebook for bert squad model exported by python 1.4
* update bert performance test tool:
(1) set OpenMP environment variable before importing onnxruntime.
(2) launch new process for each test.
* Add notebook
Reduce combinations in perf test
* update readme
* fix quote
* Allow test multiple batch_size
* Add latency percentile
* Add warm up run
Reset logger for notebook
* refine default settings to test for cpu/gpu
* Add script to dump machine info
* Add notebooks for PyTorch SQuAD model GPU and CPU inference
* Update machineinfo.py: add license header; format by yapf
* Do not reset log handler. Skip adding handler if existed.
* Add comments about GPU result diff.
Filter rows of batch set to keep only one setting.
* update according to review feedback
* Download script from master branch
* Add notebook for bert model exported by keras2onnx
* format columns in result table
* re-run and update notebook
* Fix WCOS/Win32 linking bugs
* Remove unused NODEFAULTLIB flags
* Avoid plain target_link_libraries signature
* Avoid plain target_link_libraries signature
* Fix library list escaping
* Use library list instead of string
* Remove duplicate link to windowsapp.lib
* Remove Win32 build workarounds
* Specify CMake policies before initializing language
* Expose Win32 header definitions during build
* Force set API family
* Enable Win32 APIs in featurizer
* Use MT dynamic CRT
* Expose Win32 specific functions
* Disable app container globally
* Disable default wide functions in featurizers
* Add featurizers to test include path
* Workaround https://gitlab.kitware.com/cmake/cmake/issues/19428
* Revert pipeline debugging hacks
* Skip /FI in CUDA sources
* Default to Win32 builds
* Enable WCOS when using WinML
* Use generator expression to apply CMAKE_MSVC_RUNTIME_LIBRARY to C++ only
* Add support for sessions to share a global threadpool.
* Fix build issues
* Add tests, fix build issues.
* Added some documentation
* Fix centos issue when threadpools become nullptr due to 1 core.
* Fix mac and x86 build issues
* Address some PR comments
* Disabled test for android, added few more tests and addressed more PR comments.
* const_cast
Moved path_lib.h/cc from onnxruntime/core/framework to onnxruntime/core/platform and from the onnxruntime_framework to the onnxruntime_common libraries.
* Add notebooks for GPU and CPU inference of PyTorch BERT SQuAD model
* update bert_optimization.py: Do not add duplicated logger handler
* Add machineinfo.py to show machine configuration for notebook.
* Update bert performance test tool:
(1) Set OpenMP environment variable before importing onnxruntime.
(2) Use sub-process for each test
(3) Allow test multiple batch_size
(4) Add latency percentile
(5) Add warmup
1. Fix onnxruntime server docker file build failure. Tested with the notebook in ONNX tutorial, it works well.
2. Delete the docker files for the other EPs, because currently they don't work and I don't have enough time to update them.
