* add missing ir version to dictvectorizer-string.onnx
* add missing ir version to relu.onnx
* add missing ir version to zipmap*onnx
* add IR version to manually generated models
* remove an unnecessary ifdef dml
* learning model doesn't need lotusEnvironment and CPU shouldn't include dmlEP headers
* User/xianz/win ml telemetry (#2410)
* add option to enable winml telemetry
* add option to enable winml telemetry
* clean logs while developping
* clean the log of GUID
* compile onnxruntime_common with winml telemetry
* use option for use_telemetry
* rename option winml_use_telemetry to onnxruntime_use_telemetry
* little change
* Add opset and IR check when loading model (#2413)
* Add opset and IR check.
* Add test case for future opsets.
https://github.com/microsoft/onnxruntime/issues/2371
* WinML CI (#2412)
* Pass flags to build/test WinML in CI
* Add initial CMake config for unit tests in WinML
* Set winml_unittests standard to C++17
* Add WinML API tests and port them to googletest
* Install WinML test collateral
* Add LearningModelSessionAPITests ported to googletest
* Fix WinML test files encoding
* Add GPU tests
* Add parameterized test, skip GPU tests
* Enable precompiled header
* Remove unused code and collateral
* Remove brand images
* Add dllload.cpp
* Remove images not used in API tests
* Add LICENSE.md to image collaterals
* Add models with licenses
* Remove FNS Candy tests
* Add API test models
* Add ModelInSubdirectory
* Install collaterals post-build with copy_if_different, split common lib
* fix warnings
* Link to gtest_main
* fix bad merge
* fix some more breaks
* learning model doesn't need lotusEnvironment and CPU shouldn't include dmlEP headers
* move dml checks out of winml and into the adapter
* better error handling
* Register WinML TraceLogging provider on Onnxruntime.dll
* Add ifdef to make sure trace logging provider has telemetry option when LAYERING_DONE
* No need for ifdef for TraceLoggingOptionMicrosoftTelemetry
* PR feedback
* Move etw registration into lotus environment constructor and deresgister in lotus environment destructor
* Pass flags to build/test WinML in CI
* Add initial CMake config for unit tests in WinML
* Set winml_unittests standard to C++17
* Add WinML API tests and port them to googletest
* Install WinML test collateral
* Add LearningModelSessionAPITests ported to googletest
* Fix WinML test files encoding
* Add GPU tests
* Add parameterized test, skip GPU tests
* Enable precompiled header
* Remove unused code and collateral
* Remove brand images
* Add dllload.cpp
* Remove images not used in API tests
* Add LICENSE.md to image collaterals
* Add models with licenses
* Remove FNS Candy tests
* Add API test models
* Add ModelInSubdirectory
* Install collaterals post-build with copy_if_different, split common lib
* fix warnings
* Link to gtest_main
* model moved over.
everything builds clean.
step !
* weak ref comment
* added a wrapper for RoGetActivationFactory to hook back into winml for creating winml objects.
fixes model load.
* fixed some lifetime management.
fixed the debug build.
squeezenet passes using winmlrunner for CPU and GPU
* PR feedback.
* model moved over.
everything builds clean.
step !
* weak ref comment
* added a wrapper for RoGetActivationFactory to hook back into winml for creating winml objects.
fixes model load.
* fixed some lifetime management.
fixed the debug build.
squeezenet passes using winmlrunner for CPU and GPU
* model moved over.
everything builds clean.
step !
* weak ref comment
* added a wrapper for RoGetActivationFactory to hook back into winml for creating winml objects.
fixes model load.
this is a big PR. we are going to move it up to layer_dev , which is still a L3 so we are still safe to do work there agile.
we are going to move this into the L3 so that ryan can start doing intergration testing.
we will pause for a full code review and integration test result prior to going into the L2.
>>>> raw comments from previous commits >>>
* LearningModelSession is cleaned up to use the adapter, and parts of binding are.
* moved everything in the winmladapter
made it all nano-com using, WRL to construct objects in the ORT side.
base interfaces for everythign for winml to call
cleaned up a bunch of winml to use the base interfaces.
* more pieces
* GetData across the abi.
* renamed some namepsace
cleaned up OrtValue
cleaned up Tensor
cleaned up custom ops.
everything *but* learnignmodel should be clean
* make sure it's building. winml.dll is still a monolith.
