* change the version check of ort format save/load
* Address PR comments, update the unit test ort models
* Update some variable names to code convention
* Move IsOrtModelVersionSupported inside of #if defined(ENABLE_ORT_FORMAT_LOAD)
(1) Save gpt2 test data during test generation.
(2) Use torch fp32 model as baseline when onnx model is fp16.
(3) Refine logic to compose onnx model path
* add option, feature to orttrainer and test
* address comments
* minor fixes
* further address comments
* minor changes
Co-authored-by: Rayan Krishnan <t-rakr@OrtDevTest2v100.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net>
* fix hash conflict
* Add verbose for engine deserialization and destroy old engine memory if new engine is generated
* update parser
* Update tensorrt_execution_provider.cc
* use a better hash algorithm
* Update tensorrt_execution_provider.cc
* Remove SparseTensor support from minimal build.
Currently the only valid usage of a SparseTensor is as an attribute of a Constant node. That would have been lifted to a dense tensor initializer when loading the onnx model, so would not exist when saving the ORT format model. Due to that there can be no SparseTensors in an ORT format model.
Co-authored-by: gwang <wanggy@outlook.com>
* Fix places where MinSizeRel wasn't having relevant flags added in the same way as Release and RelWithDebInfo
Enable LTO for minimal build. Cleanups onnx_minimal.cmake to remove some things handled when LTO is enabled in CMakeLists.txt
* Only enable LTO for MSVC in a minimal build
* Nuget store packaging
* Move DNNL workaround to EP
* Fix warning as error
* Disable store tests
* Skip store tests
* msbuild target
* Cross compile protoc in Store
* Disable DML in store
* Move store builds to CPU queue
* Copy uap10 to final nuget
* Fix pip8 error
* Remove extra dml copies
* Fix argparse
* pep8
* Forward IsStoreBuild
* Apply is_store_build to duplicate generate_nuspec
* runtimes
* Refactor uap10
* Store .NET
* uap
* PR feedback
* cancel night build on pyop
* setup win cuda11 pipeline
* add debug build
* test base gpu settings
* setup pipelines to test cuda 10.2 and 11
* rename linux docker images
* rename docker image tag and add clean up job
* fix typo in cuda 11 config
* set cuda11 env
* update linux cuda 11 pipeline
* reset docker image name
* disable uninitialized warning from linux build
* change the way to silence uninitialized warning
* add flags to linux gpu pipeline
* switch docker image for linux cuda 10.2
* switch linuc cuda 10.2 image
* test cuda11 with devtool8
* try latest built images
Co-authored-by: Randy Shuai <rashuai@microsoft.com>
* Prototype NCCL P2P
* Clean code
* Fix NCCL path and some minor bugs
* Add path
* Fix path
* Try fix path
* Add missed files
* Address some comments
* Clean code
* Rename files
* Add MPI path back and fix a path
* Put MPI path under USE_NCCL flag
* not to build Send and Recv when MPI is not installed
