Commit graph

6 commits

Author SHA1 Message Date
Brian Martin
1bc2ca6183
Brianma/breaks (#2469)
* 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
2019-11-25 11:11:30 -08:00
Paul McDaniel
5a1177acaa
Layer dev paulm (#2423)
* 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
2019-11-18 09:51:39 -08:00
Paul McDaniel
2bfa3c67c6
Layer dev paulm (#2408)
* model moved over.
everything builds clean.
step !

* weak ref comment
2019-11-15 13:17:22 -08:00
Paul McDaniel
5350abe19d
LearningModelSession is cleaned up to use the adapter, and parts of b… (#2382)
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.
2019-11-14 17:44:07 -08:00
Ryan Lai
444bfcc26e Initial changes for layering 2019-11-07 16:50:24 -08:00
Adrian Tsai
7390b64af5 Initial Commit 2019-11-07 11:51:44 -08:00