* Allow specific optimizers to be disabled.
- replace unused ability to specify just the optimizers to run
- never used so not needed
Allow the disabled list to be specified via the python bindings
- expected usage is internal, so using kwargs for that so as not to pollute the documentation with stuff no user is likely to need
Update the ORT format model conversion script to disable NCHWc transformer when level is 'all'
- currently there aren't any known use cases where we'd want the NCHWc transformations to run as they create a device specific model and aren't used on ARM
- the ORT format model is not expected to be generated on the target device (e.g. generate on Windows/Linux/macOS to deploy to Android/iOS so there's a good chance we'd generate a useless/invalid model
- default to 'all' as ARM and MLAS prefer NHWC and the NHWC transformer runs at that level
* Add matching changes to optimizer generation in training code
* Add support for custom ops library to the ORT model conversion script
Simplify model conversion now that we read ops from the ORT format model.
Enable custom ops in the python bindings if custom ops are turned on in a minimal build.
* Add test of model conversion involving custom ops.
Update Python API to allow more flexibility for setting providers and provider options.
The providers argument (InferenceSession/TrainingSession constructors, InferenceSession.set_providers()) now also accepts a tuple of (name, options dict).
Fix get_available_providers() API (and the corresponding function in the C API) to return the providers in default priority order. Now it can be used as a starting point for the providers argument and maintain the default priority order.
Convert some usages of the deprecated global configuration functions to use EP-specific options instead.
Update some EP-specific option parsing to fail on unknown options.
Other clean up.
* Support to pass initial optimizer states to optimizer graph builder
* Changes for passing init optim state to training session config
* Pass optimizer state through cpp and python frontend
* Cleanup
* Review comments
* Fix windows and mac CI
* Review comments
* review comments
* Review comments
* Frontend review changes
* Fix CI
* Changes to enable saving and loading an ORT format model via the public APIs.
Cleanup session.py to try and make slightly more understandable. More refactoring is needed here.
Couple of bug fixes
* Fix bug in handling NodeArg serialization for optional inputs which has a name and no type info.
* Address PR comments
- tweak SessionOptions config to avoid double lookup
- merge duplicated functionality in python binding around registering an EP with optional options
Fix a couple of build issues.
* Update C API to be consistent with python API
- only load model in InferenceSession ctor if required
- support loading ORT model in minimal build
* Fix nodejs test.
We get an invalid path error from LoadInterOp first now
* Another attempt at fixing nodejs test.
Error message depends on whether ENABLE_LANGUAGE_INTEROP_OPS is defined. Make the output consistent.
The interop implementation looks suspicious given it appears to be internal code that is going via the public api. TBD if that should be fixed.
* Fix couple of build issues.
* Disable test temporarily so PR can be checked in.
Will fix in separate PR that adds final pieces for minimal build as the test is required there.
* Give up on nodejs test and make the match simpler.
Fix init call in TrainingSession python to not pass through sess. it wasn't being used in Session anyway so passing it through just adds confusion.
* Fix call to Session.__init__ in TrainingSession.
Session now initializes Session._sess to None to make it clearer where the 'ownership' of that member is, and that needs to happen before TrainingSession sets it.
