* Update cast kernel to support to/from string
* Update namespace
* Add support for literal numeric case
* Update to support -INF test
* Update kernel registration for cast
* Update ONNX to 1.4.1
* Update registy api
* Resolve some comments
* Update cast kernel implementation
* Resolve comments
* Fixed test data in onnx
* Update cast kernel implementation
* Resolve PR comments
* Update cast_op.cc
* Update onnx commits info
* Update comments
* Enable USE_MKLML_FOR_BLAS
* add mklml include directory for onnxruntime_provider and onnxruntime_provider_cuda
* add mklml_include_dir to include_directories
* try removing the --version-script
* remove --no-undefined flag
* remove the -rpath linker flag
* remove the -rpath linker flag, including the -Wl
* remove the --whole-archive flags
* added -all_load -noall_load flags in place of --whole-archive and --no-whole-archive
* spell correct all-load
* set the MacOS specific cmake configs with if(APPLE) condition
* added --build_shared_lib to mac CI
* Create a project for graph optimizer.
Move optimizer related code to the folder optimizer.
* Fix build failures.
* rebase and fix build failures.
* fix build failure.
* fix build failure with cuda path.
* fix python build failure.
* Move two transformers(memcpy and insert_cast) from framework to optimizer.
* rebase.
* SessionState should not depend on optimizer.
* Copy mkldnn to output folder for linux. Nuget doesn't resolve dll dependency correctly within a package
* Modify to copy all dlls to output folder
* update rpath for shared library
* Simplified linker flags for RPATH
* Removing copying of dlls to output folder, since setting RPATH works fine now
* Update ONNX version to pickup Scan spec change that adds scan_output_axes.
Add logic to transpose an output
- write to temporary buffer when executing subgraph
- transpose temporary buffer into Scan output when execution completes
Add unit tests
* Update to ONNX dbf3581835e3a05716e10587511d7ab3b2cdc386 to pickup inferencing bugfix.
Update test to match.
* Disable some tests for opset 9 operators that haven't been implemented yet.
* switch to nonblocking threadpool in inference session and sessions state
* switch to eigen threadpool - first draft
* refine
* refine
* add a switch to easily revert back to windows thread pool
* switch thread pool in test runner and turn on leak checker
* remove unncessary files
* fix build error
* more build fixes
* catch exceptions in parallel executor
* fix mac build error
* fix mac build error
* more build fixes
* more mac build fixes
* fix cv issue
* change macro to include cuda compiler for disabled compiler warning
* try switching the macro to win32 only
* test #error
* move #disable warning to the top
* Update onnxruntime_framework.cmake
* move eigen include to public scope
* turn off eigenthreadpool by default and add todo comment
* update
* cmake change
* rename
* update
* update
* add cmake
* fix build warnings.
* fix comments
* update cmake to avoid run gemmlowp tests
* update cmake
* update
* fix build break
* update
* fix comments
* fix test failure
* add one more test case with padding.
* fix conv implementation of mkldnn and cuda to use updated computekernelshape function.
* fix linux ci build break
* Initial checking for CSharp GPU support
* Enabled C# for GPU build
* Update Onnxruntime to Ort
* Add runtime check for cuda dlls for windows
* Update pretrained model test, for models where name!=model.onnx
* lowered tolerance for float checks to pass new models
* ignore extra ._resnet34v2.onnx file in pretrained test
