- Added C-API test for loading custom op shared lib.
- Made some changes in C++ api header and C-api implementation to get it working.
- Added C# API and corresponding test for loading custom op shared library.
1. refactor the pipeline, remove some duplicated code
2. Move Windows_py_GPU_Wheels job to Win-GPU-CUDA10. We'll deprecated the "Win-GPU" pool
3. Delete cpu-nocontribops-esrp-pipeline.yml and cpu-nocontribops-pipeline.yml
4. In Linux nuget jobs, run "make install" before creating the package. So that extra RPAH info will be removed
* Introduce execution mode for clarity and extensibility; Change Python APIs accordingly; Replace DisableSequentialExecution API with EnableParallelExecution for clarity.
* Fix cuda build
* Modify the test slightly
* Make C and C# APIs consistent with Python.
* Add ability to get symbolic dimension info for graph inputs and outputs.
WIP to get initial feedback.
* Fix linxu build error.
Update C# API and add unit test
* Clarify the two different ways Tensor shape and type info is created. One is from concrete values and one is from a type proto where symbolic dimensions may exist. Doing so allows a change to default to empty strings for the symbolic dimensions if not provided.
* add ctor overloads that accept model byte array
* doxygen. mark Init method as private.
* doxygen
* rename test method for clarity
* PR feedback - add two overloads that accept either model path or model byte array
* update native signature to align with latest codebase
* fix native call
* Mention OrtCreateSessionFromArray in C API doc
* Add C API for free dim override
* Add C API for free dim override, fix missing API mention in InferenceTest.cs, fix confusing print statement in perf_test.
* Remaining C#files
* fix c# build
* Run the tests in blame mode. This option is helpful in isolating a problematic test causing the test host to crash.
* fix order
Description: Refine threading control options and move inter op thread pool to session state.
Added thread_utils.h/cc to centralize the decision around the thread pool size under various conditions.
Motivation and Context
Currently the thread pool size of the parallel executor is hardcoded to 32 for some reason. This PR makes the options to configure the thread pool sizes clearer.
* Implement Nuphar execution provider
Nuphar execution provider is a TVM-based compilation provider. It has shown great speedups for RNN models using Scan.
This PR is mainly for a preview of the shared codegen library for other TVM-based providers.
* Fix submodules
* Fix TVM submodule
* Update Nuphar to latest and resolve confliction
* Remove stale files caused by merge -X theirs
* Revert heap buffer change to not introduce onnxruntime_framework into onnxruntime_perf_test
* Fix bad merge
* Merge from Nuphar
* Fix warning treated as error, revert some unnecessary changes
* Revert some more test changes
* Some more test revert or comments to make review easier
New tests could be added later
* One more revert of unnecessary changes
* More change revert. Test could be added back later.
* Mention OrtCreateSessionFromArray in C API doc
* Don't create the default allocator every single time. Rename API accordingly.
* Don't create the default allocator every single time. Rename API accordingly.
* updates...
* updates...
* PR comments
* fix typo in license header
* fix build
- 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
* 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
* Simplify linux gpu pipeline
* Refactor win-gpu-ci-pipeline.yml
* Set cuda environment variables for testing and version
* Remove variables from starter script
* minor fix
* Add GPU Nuget pipeline
* Set DisableContribOps environment variable for Linux package tests
* Add ESRP tasks
* Add ESRP signing templates
* Test out hardcode value of ERSP
* Test out hardcode value of ERSP
* Test out hardcode value of ERSP
* Test out hardcode value of ERSP
* test variable expansion
* test variable expansion
* test variable expansion
* test variable expansion
* test variable expansion
* test variable expansion
* test out variable expansion
* test variable expansion
* test variable expansion
* test variable expansion
* test variable expansion
* test variable expansion
* test variable expansion
* test variable expansion
* test variable expansion
* update cpu pipeline to conditionally esrp sign
* Set C# GPU tests to run only if env var is set
* Refactor for easy parameter passing
* refactored esrp templates
* remove variables from template
* Add packaging variables back to pipelines
* update C# for cuda 10
* Merge vars ana parameters for gpu pipeline
* remove vars from mklml pipeline
* display envvars on terminal
* Clean up C# cuda tests, and upgrade to Cuda10
* Introduce CUDNN_PATH pipeline varaible
* YAML variable are always uppercased (not true with classic)
* Update C# GPU test to be more meaningful
* remove macos from gpu tests
* remove debugging info for DisableContribOps option
* Remove DisableContrib ops parameters -- use variables only
* Fix typo from = to -
* remove debug steps
* fix typo
* remove unused variable TESTONGPU from some templates
* clean up CUDA env setup scripts
* Remove CUDNN_PATH from setup_env_cuda.bat
* Refactor C# to handle x86
* update run script
* Add Native win x86 tests
* Add native x86 tests for Linux
* Update linux tests scripts to control which tests are run
* update linux image name for x86 to prevent using cached image
* update to not run unit python unit tests unless pybind is specified
* remove --build_wheel as a core common arg. Python cannot run on x86 build
* update OrtGetNumOfDimensions to OrtGetDimensionsCount in rest of C#
* Change function signature
* Convert compute to use custom op style APIs
* Remove dead CustomOp function
* Use CustomOp API in TensorRT EP
* Switch to new API in ngraph
* More C++ API improvements and conversions
* Mark more constructors as explicit
* Fix CSharp function name changes
* Change more test cases to use C++ API
* initial commit
* More changes
* More changes
* Adding stuff back to the targets xml
* More changes v3
* More changes v4
* More changes v5
* More changes v6
* More changes v7
* More changes v9
* Disable CSharp tests for now
* More changes
* Revert file to same status
* Update props file for x86
* Change to usage of TargetArchitecture instead of PlatformTarget
* Update targets.xml
* Minor formatting nit fix
* Update based on PR comments
