- Support bool-Tensor and int8-Tensor in input-output of C# api
- Support string-tensor as input in C# api
- Fix a bug in InferenceSession.Run() -- RunOptions was not passed into the native call
* Added check for unnecessary function initializations, and removed lock from unneeded areas of code.
* Added LRU cache to EP.
* Bugfixes for nGraph EP Optimization PR
* Changed default cache size to 500 and refactored mutex readability.
* Fixed unsafe environmental variable fetch for Windows.
* Cleaned up Windows environment functions and cleaned up mutexes.
Fix issue that cudnnRNNForwardInferenceEx doesn't support 0 sequence in the bathes
Solution:
Reset the 0 sequence to 1 for the bathes before call the cudnnRNNForwardInferenceEx, has a array to track the batch id which has 0 sequence. Once get the result, call a CUDA kernel to mask on the output using the batch id tracked in the array.
* Mention OrtCreateSessionFromArray in C API doc
* Update perf tool documentation to reflect the new graph optimization enums. Relax constraint for enable_all.
* Update one more doc
* Update onnx test runner documentation
* Add default in the docs
* update MKLML which has bugfix for thread hang. move PATCH_COMMAND outside BUILD_FOR_NATIVE_MACHINE check.
* MKLML_VERSION 2020.0.20190813 is for windows only.
1.Let mlas use session thread pool
2.Remove onnxruntime_USE_MLAS cmake option
3. Remove the win32 thread pool code inside mlas
mlas will:
1.use ort thread pool if it get passed in
2.use openmp if the threadpool parameter is nullptr
3.run single threaded if the threadpool parameter is nullptr and openmp is disabled.
Added Sample Featurizer and Infrastructure
Make featurizers and unit tests compile and run with GTest.
Create definitions for the first featurizer kernel.
Add new operator domain.
Create datetime_transformer kernel and build.
Move OPAQUE types definitions for featurizers kerneles out to a separate cc.
Register them with the type system.
Provide unit tests for new AutoML DateTimeTransformer kernel.
Make necessary adjustments to the test infrastructure to make it run
with new types.
- Added python script for generating markdown doc from the registered opkernels.
- Made some conditional changes in the pybind to expose necessary python API
- Added some missing type-constraints in the op kernel registrations
* Mention OrtCreateSessionFromArray in C API doc
* review changes
* use enum for graph optimization level
* Use explicit values for enums
* updates...
* Add friendly enum for graph optimization levels in C, C# and Python APIs.
* Fix linux build
* Fix build breakage due to master merge
* PR comments
* Minor perf improvements.
- Cache the vector sizes in IExecutionFrame and NodeIndexInfo to avoid calls to size().
- 2 instructions instead of 10
- Remove an unnecessary check in IExecutionFrame
- add a check to the ctor so we guarantee it's unnecessary
- Reserve memory for the vectors in BroadcastIterator
- saves reallocs if more than one value is added
- but rare with the mlperf models for multiple values to be added so benefit is limited.
- slight tweak to the Broadcaster ctor code to make it more readable
* Mention OrtCreateSessionFromArray in C API doc
* Fix perf test executable due to removal of certain C APIs
* fix linux build
* Avoid duplication
* Fix mem leak
* Update nGraph to 0.21 and adjust the EP
* Share the graph initializers between custom ops
* Update nGraph to 0.22 and exclude Gather entirely
* Enable building on Windows with nGraph v0.21.1-rc.0
* Disable the unsigned input Shrink op tests for nGraph until the next update
* Line-shortening code refactor
* Fix for the master branch merge artifact
* MKLDNN patches adjustment for Windows
* Exclude MatMulInteger for non-const zero points
* Exclude ConvInteger for non-const zero points
* Enable full Cast op support
* Use the v0.22.1 tag
* Skip ConvTranspose_InvalidKernelShape test for ngraph provider
* Create sub-graph ModelProto from fused_node
* Implement new LabelEncoder in opset 2 in ML domain
* Fix compilation error
* Fix tests
* Include ONNX's fix
* Formatting and addressing a comment
* Address a minor comment
