* remove memory copy between CUDA and TRT
* add info to RegisterExecutionProvider input
* use new IDeviceAllocator for trt allocator
* remove SetDefaultInputsMemoryType from TRT EP
* remove onnx-tensorrt 5.0
* add submodule onnx-tensorrt branch 5.1
* remove redundancy
* Update transformer_memcpy.cc
* Update tensorrt_execution_provider.cc
* switch to TensorRT 5.1.5.0
* update python binding
* disable failed test case on TensorRT
* Update activation_op_test.cc
* upgrade to TensorRT container 19.06
* update according to feedback
* add comments
* remove tensorrt allocator and use cuda(gpu) allocator
* update onnx-tensorrt submodule
* change ci build cuda directory name
Python script and necessary changes in the azure-pipelines yaml file to post the binary size data from NuGet package build. Currently only posted from CPU pipeline. GPU and other pipelines may be added as necessary.
* 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
- Added Python script to post the code coverage data to the MySQL table used for dashboard
- Added a build job to run a windows cpu debug build on every merge on master, and run the script
- Removed the code coverage step from the CI build
* added the runcoverage powershell script
* updated the run coverage script. added installation to the windows CI for trying
* exclude other parts of win ci
* fix in the download script
* fix in the download script
* fix in the download script
* fix in the download script
* fix in the download script
* fix in the download script
* fix in the download script
* fix in the download script
* fix in the download script
* added the runtestcoverage script to the pipeline
* some typo fix
* formatting
* re-commenting previously commented block
* cleaned up the powershell script
* fix path in pipeline
* fix path in pipeline
* fixed model path
* some fixes
* excluded long running tests
* add the publish job
* uncomment other tasks
* fixed excluded tests
* some format correction
* stopped running the test debug
* try placing the tes-all at the beginning
* try running the failing test only
* edit run_coverage
* some fix
* skip onnx_model_test
* Added memory size log in powershell script
* try running the onnxruntime_test_all.exe separately from codecov
* enable error reporting, and double memory size in powershell
* corrected the set-item
* remove memory resize, since we are already at max 2 GB
* fixed the tvm.dll issue
* added back the onnx tests in codecov. added back the regular test run
* cleanup
* remove * from the the module path
* add junction target resolution for modules dir
* remove junction-resolution
* reduced tests
* added target extraction for the junction paths in build machine
* added the appropriate change in win ci pipeline to call the updated ps script
* fix typo
* added back all the tests that were disabled
* try fixing the source root
* cleanup and enable all tests
* increase timeout for windows CPU CI due to codecoverage
* templatized the code coverage steps. Conitnue on error with any codecoverage step
* change quote marks
* Add build step to remove the cuda msbuildcutomization file after build, otherwise, the cuda high version could impact the lower version build
* update vs path
* update the path
