-
Notifications
You must be signed in to change notification settings - Fork 2.9k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Cherry-pick tagged commits to 1.12.0 release candidate #12097
Merged
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Follow-ups that need to happen after this and before the next ORT release: * Support SequenceMap with #11731 * Support signal ops with #11778 Follow-ups that need to happen after this but don't necessarily need to happen before the release: * Implement LayerNormalization kernel for opset version 17: #11916 Fixes #11640
* Setting default version values for ovep dlls as well * Update backend_manager.cc Co-authored-by: mayavijx <mayax.vijayan@intel.com> Co-authored-by: mohsin <mohsinx.mohammad@intel.com>
* ooptimize t5 encoder * update * update * update * refactor expand impl * cuda tests passed * update * alignment * more alignments * review comments
…ng thread spinning (#11841) Introduce Start/Stop threadpool spinning switch Add a session config option to force spinning stop at the end of the Run()
* Add nested function call tests * Add overload for Specialize * Pass symboltable to onnx shape inference * Avoid renaming empty names * Enable sequence_map tests which failed before this change
Provider better documentation
* Register signal ops for op set 17 Note code is mostly being moved, not added. These ops were previously only registered as Microsoft contrib ops and only built if `BUILD_MS_EXPERIMENTAL_OPS=1`. They've been added to the ai.onnx standard op set in version 17. Main components of this change: * Move the kernels from the conrib_ops directory to the core directory. * Add function bodies for ms experimental ops. This will allow old models that use the contrib ops to continue to function. All the function bodies consist of a single op (the new standard op), so performance overhead should be minimal. Minor clean-up also in this change: * De-duplicate get_scalar_value_from_tensor: put it in a new utils.h. * Fix some bugs that caused compilation errors with the experimental ops. Tested with `build.sh --ms_experimental` * Fix some spelling errors and lint violations. * Replace a couple of switch statements with `MLTypeCallDispatcher`. * Use `InlineVector` instead of `std::vector`. Unblocks #11640
…l signal op definitions (#12006) * fix winml tests * remove legacy test * switch idft -> dft+inverse attr * upgrade opset 13->17 for signal ops tests
…ls. (#12008) Add support for double tensor output in TestPreTrainedModels.
…ation lacking training_mode attribute (#12010) FusedBatchNormalization include training_mode attribute
* create op from ep * read input count from context * create holder to host nodes * fix typo * cast type before comparison * throw error on API fail * silence warning from minimal build * switch to unique_ptr with deleter to host nodes * fix typo * fix build err for minimal * fix build err for minimal * add UT for conv * enable test on CUDA * add comment * fix typo * use gsl::span and string view for Node constructor * Added two APIs - CopyKernelInfo and ReleaseKernelInfo * pass gsl::span by value * switch to span<NodeArg* const> to allow for reference to const containers * fix typo * fix reduced build err * fix reduced build err * refactoring node construction logic * rename exceptions * add input and output count as arguments for op creation * refactor static member * use ORT_CATCH instead of catch * cancel try catch * add static value name map * format input definition and set err code * fix comments * fix typo
* Pad fallback to CPU * Added queryPad in operatorRegistration.cpp * Acknowledged PR comments * Used any_of * used none_of instead of any_of Co-authored-by: Sumit Agarwal <sumitagarwal@microsoft.com>
…to_pad (#11984) * Add warning about future computation change for Convtranspose with auto_pad * improve msg * update TODO to make lint happy * update more contents for warning and add if * valid was not infected * move it into kernel registration * parse auto_pad myself * try to use conv_transpose_attrs_.auto_pad directly
* roialign opset16 * fix * fix
place tmp kernel def as local variable to cover the lifetime of kernel creation
* Add net6 targets. Remove maccatalyst as we don't have a native build targetting that. * Set platform in macos targets * Add targetFramework entries * Move NativeLib.DllName definition and set using preprocessor values for simplicity. Couldn't get it to build with the preprocessor based setup when it was in a separate file. Update the nuspec generation to set platform version for .net6 targets. TODO: Validate versions. I copied them from the managed nuget package the packaging pipeline generated prior to adding targets. Possibly w could/should lower some of the versions. Hopefully the need to specify a version goes away when the release version of VS2022 supports .net6. * Try android 31.1 as https://github.com/actions/virtual-environments/blob/main/images/win/Windows2022-Readme.md suggests that should be available on the CI machines * Fix patch version mismatch Add some extra debug info in case it helps * Debug nuget location in CI * Add workspace entry back in * Add steps * One more attempt with hardcoded nuget.exe path and original android31.0 version * Better fix - found explicit nuget download and updated version there. * flake8 fixes * Fix black complaints. * Exit Microsoft_ML_OnnxRuntime_CheckPrerequisites for net6 iOS. * Removed outdated comment
* Update C# runtest.sh for opset 17 Should have been part of #11924 * get appropriate opset version from onnx doc * use absolute rather than relative path * fix typo in var name
disable cl reuse for xbox
…m the Android AAR. (#12075) The generated bindings causes C# build errors that require workaround code. Disabling generation should avoid the need for any workarounds. As the user has the C# ORT package with the C# to C bindings there's no need for binding generation that calls the ORT Java API (which is C# -> Java ->C).
* Update to DML 1.9 * Appease obnoxious Python formatting tool
RandySheriffH
changed the title
Cherry picks for release 1.12.0
Cherry-pick tagged commits to 1.12.0 release candidate
Jul 6, 2022
pranavsharma
previously approved these changes
Jul 6, 2022
This pull request introduces 1 alert and fixes 2 when merging 4bacff4 into 64f95d4 - view on LGTM.com new alerts:
fixed alerts:
|
fix symbolic shape error due to upgraded numpy + legacy sympy
* check consumers of dq node before swap dq and transpose * add unit test
fdwr
approved these changes
Jul 6, 2022
YUNQIUGUO
approved these changes
Jul 6, 2022
This pull request introduces 1 alert and fixes 2 when merging 57730b2 into 64f95d4 - view on LGTM.com new alerts:
fixed alerts:
|
yufenglee
approved these changes
Jul 6, 2022
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Cherry-pick tagged commits to 1.12.0 release candidate.