Cleaning up some naming in the op kernel type control infrastructure.
"Supported types" was a bit semantically overloaded. Renamed it to "default types". They are the types that are supported by default.
Implement an alternate workaround for the LLVM x86 problem described in PR #5088. That change made the x86 assembly files build with the GNU assembler by using -fno-integrated-as
Implemented following change to avoid the error when using both --use_external_data_form and --precision int8 with GPT2LMHeadModel, which results in
line 161, in save_external_data; open(external_data_file_path, 'ab').close()
FileNotFoundError: [Errno 2] No such file or directory:
This may also be related to the identified bug #6047.
* add config allow_spinning
* add config allow_spinning
* set true as default
* split configures for inter and intra ops
Co-authored-by: Randy Shuai <rashuai@microsoft.com>
* Change msbuild condition for UAP
* update .netcore target as well
* create nuget packages with _native path
* validate path under _native directory for windowsai package
* pep8
* add diagnostic error message
* pep8
* use baseame
* lib\uap10.0
* uap10
* build\\uap10.0
* Manually binplace winmds into appx when PackageReference is used.
* always binplace winmd regardless of packagereference since c# should work with packages.config also
* resolve all paths to full paths to avoid some reference warnings
* move winmds out of lib folder to prevent automatic component registration
Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
In the previous shared providers there aren't many OpKernel classes, and the existing Provider_OpKernel wrapper was fine. With the opposibility of making Cuda a shared provider, having this need to be changed per OpKernel adds a lot of complexity.
It was fairly straightforward to make OpKernel work with shared providers with minimal changes.
In this change, the ONNX_OPERATOR_* macros can also be shared with the shared providers.
Adds support for required types to the op kernel type control infrastructure. Required types are always enabled.
Added int64 as a required type for certain ops.
* update Attention operator spec to support pruned model
* update Attention and QAttention cpu & cuda kernel
* Fix invalid embed layer norm fusion test models.
* Handle case where bias_name is already quantized
If bias is shared between multiple nodes and we've already quantized it, just return the quantized name from the map
* Remove qType attribute from QuantizedValue and QuantizedInitializer
These are unused (and were incorrectly set in the case of int8 quantization)
* Add Reshape op to quantizer
* Add test for Reshape quant
* Fixed issue in python cmake to update wheel package
* Fixes python cmake issue for OV EP
Added post build step for libonnxruntime_providers_openvino
that copies the updated libonnxruntime_providers_openvino.so file
to /onnxruntime/capi directory every time this target is rebuilt.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Removed post_build step from onnxruntime_python.cmake
Now that we have added the post build step to copy
onnxruntime_providers_openvino.so and providers_shared.so
to /onnxruntime/capi directory in onnxruntime_providers.cmake file.
so removing the duplication of the same from here.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixed python cmake issue for OpenVINO-EP
->Fixed issue for both Linux and windows
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
Co-authored-by: MaajidKhan <n.maajidkhan@gmail.com>
* update benchmark for transformers 4.* and ORT 1.7
* Fix gpt2 onnx conversion for transformers 4.3.*. Add a check of transformer version >= 3.1.
* remove code related to openmp
* update pretrain model list: keep representitive models only
Add providers for CoreML, ROCM, NNAPI, ArmNN
Adding the structs for OrtCUDAProviderOptions and OrtOpenVINOProviderOptions
Updating NNAPI flags.
Adding the new CoreML flag.
Adding hooks to the build system to tell Java about the new providers.
* remove tests to speed up CI
* add back _into_data_parallelism tests to see how long the CI test takes
* remove unnecessary save calls
* add back data_parallelism_full_precision_bart_path
* add data_parallelism_full_precision_path
* remove data parallelism tests
Co-authored-by: Jingyan Wang <jingywa@OrtTrainingDev3.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net>
* If unit tests are manually excluded via `--cmake_extra_defines onnxruntime_BUILD_UNIT_TESTS=OFF` (e.g. testing changes to binary size where you want to keep the build time as quick as possible) it should still be possible to create the python bindings.
Update CMakeLists.txt to decouple the inclusion of onnxruntime_python.cmake from unit tests being enabled.
Update onnxruntime_python.cmake so it works when unit tests are disabled. Also skip copying of test py files when unit tests are disabled.
