* onnxruntime react native binding
* add react native backend
* fix lint comments
* fix react native backend for ios
* remove unnecessary files to check in
* move onnxruntime-common to devDependency
* create two podspec files for iphoneos and iphonesimulator
* revise README.md and add third party notices for react native
* rename a package
* rename a package and revise README
* add a license into package.json
* revise README and comments
* fix typo
* fix lint errors
* fix lint errors
* add a prepack script. touch index.tsx and App.tsx to resolve CI issue
* remove a unsupported tsx format from clang-format
* fix a type and add steps tp publish a react native npm package
* resolve comments
* fix clang format
* remove promise wrap. change prepack to typescript
* Add check for a node with an invalid input so we fail during model load. Without this we get a more cryptic failure in the allocation planner.
* Add handling for manually created subgraph where outer scope node arg names are in a different place.
* Update onnxruntime/core/graph/graph.cc
Co-authored-by: Pranav Sharma <prs@microsoft.com>
* Ignore Fused nodes when checking inputs are valid. DML EP will remove initializers it has moved across, so they're available when the node runs but are no longer part of the ORT Graph instance.
We have to fully resolve the graph before any node fusion happens, so the model was valid in the beginning (which is the main thing we are trying to validate).
* Skip check in training build. Rules for allowing an 'invalid' input are unknown for those scenarios.
* Only check the initial load for a training build.
Co-authored-by: Pranav Sharma <prs@microsoft.com>
* Moved GraphTransformerConfiguration to a separate file and added strategy option to PropagateCastOps transformation.
* Added testing both FloodFill and InsertAndReduce stratigies for cast propagation.
* Added AddConsumer and RemoveConsumer functions to in graph.h for efficient graph editing.
* Added PropagateCastOps code documentation
* Added GraphTransformationConfiguration class hierarchy information
* Added RemoveInputOutputUpDownCasts
* checkin
* add 4dmask support in attention cuda op
* trim
* add comments
* fix build/test error
* review comments and add tests
* sync doc
* review comments
* minor change
Fix an issue where a log message got skipped.
A log call like this:
```
LOGS(...) << "message";
```
expands to something like this:
```
if (<output enabled>)
logging::Capture(...).Stream() << "message";
```
This if statement without brackets is handy for logging arbitrary arguments with the `<<` operator. However, it has other drawbacks like possibly associating with a subsequent `else`.
```
if (cond)
LOGS(...) << "a";
else
<do something> // not run when !cond
// equivalently:
if (cond)
if (<output enabled>)
logging::Capture(...).Stream() << "a";
else
<do something> // not run when !cond
```
Updated the logging macros to handle this case by replacing `if (<enabled>) logging::Capture(...).Stream()` with `if (!<enabled>) {} else logging::Capture(...).Stream()`.
Thanks @tlh20 for the idea for the fix!
* Modify CPU fallback logic
* Review comments, failing test
* Add test for topological order
* review comment
* Fix test for amd ci
* fix build
* Fix amd test
* Reduce the binary size growth from this change. Minimal build grew by 7KB from this checkin.
Firstly simplify the checking logic a little. Same checks are still done - just without using an extra layer of helpers.
The issue being addressed by the original change only applies if you have a graph output where the shape wasn't able to be inferred. e.g. Reshape node with dynamic input causes downstream shapes to be unknown. If that is not the case, MergeShapeInfo in graph.cc would have resolved any differences between a specified output shape and the inferred output shape during Graph::Resolve.
The issue does not apply to the execution frame used by the optimizer as the only time it would create a graph output is if it could constant fold all the way through, so MergeShapeInfo would have handled any difference in that case as well.
Due to these considerations, wiring a logger in at the IExecutionFrame level isn't necessary if VerifyOutputSizes optionally overridden by an implementation that cares.
* Address PR comments
->unsetting the CMAKE_MAP_IMPORTED_CONFIG that was
set for OpenVINO EP for Relwithdebinfo build on
windows.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
Co-authored-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
Update Objective-C API to be more usable from Swift. E.g., to allow conversion from Objective-C methods with trailing NSError** parameter to throwing Swift methods.
Update CMake Objective-C framework setup.
* Fix run-to-run not deterministic bug.
* Remove non-deterministic logic in softmax
* Fix value diff when removing non-deterministic issue.
Co-authored-by: Lei Zhang <zhang.huanning@hotmail.com>
* Fix compiler warning in GistEncodeDecode.
* Fix other use of member variable.
* Make `compression_type_` const.
* Change floor to floorf in CUDA code.
* Statically cast size_t to int in GIST CUDA kernels
* Add explicit cast to `long` in gist.cc
Co-authored-by: Derek Murray <demurra@microsoft.com>
* test
* [gwang] make cmake compile work
* [gwang] enble build apks
* some build update
* add simple sigmoid test android project and cmake
* add build.py
* refine and remove unused import lib
* address CR comments
* remove unnecessary files
* add README.md
* minor update
* remove
* minor change
* fix ci failure and minor update
* fix typo in project folder
* remove
* remove and minor update
* refine
* minor fix
* fix
* fix typo
* add gradle spotlessApply task to fix CI failure
* fix
* enable spotlessApply in build gradle
* revert some changes
* minor fix
* run spotless apply for format
* address CR comments and fix CI version and format
* refine
* Refine
* address comments
* refine
* refine
* modify
* reformat
* resolve version conflicts
* minor update
* minor update
* address comments
* minor update
Co-authored-by: Guoyu Wang <wanggy@outlook.com>
* disable nnapi for graph with dynamic input shape
* Add warning for multiple paritions
* minor update
* update the message logging
* Fix coreml ci failure
