* commetns for dml graph transformer
fixed ort value passing using the allocatir info
* fixed and coded maps and sequences across the abi
* cleaned up w4's
cleaned up the model info ABI
delayload directml.dll from winml
* cleaned up namepsace aliases.
renamed _winmla to winmla
this was good PR feedback from tiago a while back.
* moved files from inc to lib\api.core
cleaned up some of the cmake
* staged changes
* commetns for dml graph transformer
fixed ort value passing using the allocatir info
* fixed and coded maps and sequences across the abi
* cleaned up w4's
cleaned up the model info ABI
delayload directml.dll from winml
* 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
* 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
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.
add onecoreuap_apiset.lib in order to avoid linking against kernel32.lib etc and violating our OS layering requirements.
We linked against onecoreuap_apiset.lib in VB so we will continue doing this, but I am still unsure why not to link against onecore instead since that is where we ship. However, since Sheil is the owner of this code we will wait to discuss with him before changing anything.
