* updated cmake files for trt
* added trt execution provider
* added trt basic test
* removed trt_path action attribute
* Add files via upload
* Update build.py
* Update trt_allocator.h
* fixed issues found by reviewers
* changed cast operator
* added comment for custom kernel implementation
* changed auto to auto&
* changed to function compile APIs for TRT execution provider
* changed to function compile APIs for TRT execution provider
* added new DType DInt64
* adapted to the changes of onnxruntime_c_api
* removed trt kernel (use function compile instead)
* updated onnx-tensorrt submodule
* set default memory type to TRT fused kernel
* resolve merge conflict
* fixed the issue that USE_CUDA conflicts with USE_TRT
* construct graph by adding nodes in topological order
* made changes for Windows
* change buffers type
* bypass HasImplementationOf check for TRT XP because TRT kernel is not registered
* added domain to version info in rebuilt model proto
* added trt to test option list
* added DomainToVersionMap() to GraphViewer
* removed Copy()
* fixed broken code
* format the code to clang format
* used local reference to the frequently used values
* fixed a couple of issues according to reviewers feedback
* fixed a couple of issues according to reviewers feedback
* added python binding for TRT and enable use_cuda when use_trt is on
* fixed a redefinition issue
* changed shared_ptr to unique_ptr on trt engines, and made a few changes required by reviewers
* enabled trtexecution provider for unit tests
* renamed trt to tensorrt
* added tesorrt to python binding
* update submodule onnx and onnx-tensorrt
* made a couple of minor changes based on reviewer's feedback
* added CUDA_CHECK
* removed test code
* fixed broken code after merge
* updated onnx-tensorrt submodule
* added post processing to align trt inputs/outputs with graph inputs/outputs
* updated onnx submodule
* added CUDA fallback for TensorRT and fixed TensorRT cmake issue
* added ci pipeline for tensorrt and removed some redundent code from trt xp
* fixed syntax issue
* updated onnx-tensorrt submodule
* fix trt build problem by: (#602)
1. Add additional /wd for debug build
2. Add io.h for additional targets
3. Bring back mb version of getopt
* Update install_ubuntu.sh
* Update linux-gpu-tensorrt-ci-pipeline.yml
* Update linux-gpu-tensorrt-ci-pipeline.yml
* Update run_build.sh
* Update run_build.sh
* Update run_build.sh
* Update run_build.sh
* fixed the issue that GetKernelRegistry returns nullptr
* merged master to this branch
* moved some data types to private
* fixed tensorrt CI pipeline issue
* customized test data for TensorRT pipeline
* added onnx-tensorrt in json file and fixed an issue in ci script
* added comments
* cross compile x86 linux
* fix comments
* install multilib for ubuntu cross compile
* remove tailing slash
* fix -fPIC relocations for x86 target too
* add asm make flag
* fix x86 compile err
* test x86 with zlib and png
* Disable zlib from x86
* install x86 python header
* remove cross-compiling changes
* test 32bit ubuntu
* add x86 ubuntu docker file
* add x86 as arch parametr for docker build
* config pipeline
* avoid dotnet install
* install cmake
* skip dep install
* use latest ubuntu
* install latest cmake
* install x86 deps
* configure cmake
* install ninja
* correct ninja dir
* apt get re2c
* install onnx
* set processor x86
* disable warning
* skip test
* disable test
* disable test
* find lib
* fix typo
* restore test
* disable backend model test
* disable test
* fix test err
* stop installing onnx
* disable onnx test on x86
* restore yml
* mergef with master yml
* cancel needless config setting
* enable x86 flag
* restore all onnx tests
* fix yml typo
* install onnx
* add back x86 flag
* disable cases
* disable case
* disable cases
* add macro to disable cases
* fix typo
* print platform
* remove condition
* Initial commit
* More changes
* More changes
* More changes
* More changes
* PR feedback
* Commiting Azure build config file
* Fix build pipeline
* Cleanup build dir template addition
* Remove conda modules download step
* PR feedback
* Revert x86 arguments to as they are currently
* More changes
* use CUDA 9.1 for both linux and windows
* added powershell scripts for cuda props setup/cleanup
* fix yml syntax
* set path to cuda9.1 bin
* correct label
* ad --cuda_version
* added some log to browse the directory
* disabled jobs other than win gpu to save some resource while testing
* add msvc_toolset=14.11
* added more logs
* log the props file
* remove setting vcvarsall
* try some modificationi n build.py
* fix typo
* let the config Step modify envoronment
* set some more env vars manually
* try reordering vcvars after cuda props copying
* use single script for build and test
* single line script
* remove extra quote
* cleanup trial changes
* add option numpy_version to build against the installed numpy version and not 1.15.0 (hardcoded version number), default is still 1.15.0
* add option skip_keras_test to skip keras test even if keras is installed (still enabled by default)
disable unnecessary warnings about ubuntu
* enable option PRIVATE for the compilation of the Python bindings (settings recommended on pybind11 documentation)
* test on debian 9
* added linux packaging template and pipeline
* Update linux-packaging-pipeline.yml for Azure Pipelines
* fix path seperator
* update copy command for linux
* fixed linux gpu artifact name, added mac build
* fixed linux gpu artifact name, added mac build
* fixed vmImage syntax
* use 1 model at a time for macos
* added onnx test on Mac CI
* some refactor of the pipeline scripts
* try fixing the tensorproto for x86 build
* try __cdecl
* try C-style cast
* use ORTAPICALL
* put the deleter under the namespace
* added packaging pipeline
* Update win-ci-pipeline.yml for Azure Pipelines
* Update win-ci-pipeline.yml for Azure Pipelines
* Update win-ci-pipeline.yml for Azure Pipelines
* Update win-ci-pipeline.yml for Azure Pipelines
* Update win-ci-pipeline.yml for Azure Pipelines
* Update win-ci-pipeline.yml for Azure Pipelines
* Update win-ci-pipeline.yml for Azure Pipelines
* Update win-ci-pipeline.yml for Azure Pipelines
* put the c-api header file at root instead of under core/session
* Update win-ci-pipeline.yml for Azure Pipelines
* Update win-ci-pipeline.yml for Azure Pipelines
* Update win-ci-pipeline.yml for Azure Pipelines
* parameterize the windows build script
* Update win-package-pipeline.yml for Azure Pipelines
* fixed indenting
* fixed indenting
* fix parameter reference syntax
* try using arch = amd64 for the vcvarsall
* remove duplicate tasks
* use vcvarsall
* some more refactor
* fix typo
* fix typo
* factored out the packaging step into a template
* add x86 build to package pipeline
* use amd64 for vcvars arg
* added gpu pipeline. added msbuild platform param
* fix the msbuild platform
* use amd64 host for x86 build
* use buildarch=x86 for vcvarsall
* remove vcvars from setup steps
* add some logging for PNG lib, and disable fns_candy demo for win32
* set allocator alignment to 32 bit for win32 compiler
* disable parallel execution test for x86
* use 64 bit toolchain for x86 build
* add missing -T flag for toolset
* fix string delimietr in workingdirectory name for package build test step
* fix gpu pipeline
* make io_types test conditional
* use cuda 10 instead of cuda 9.1, similar to the ci build
* try some workaround on the io test
* undo inadvertent local change in build.py, also reenable the io test
* make all test run single threaded
* blacklist few failing tests for x86
* added some log in build.py
* edit build.py to disable parallel test
* add the failed tests into the blacklist for win32
* add tf_pasnet_large to blacklist
* change control flow for build.py onnx tests
* add README, license and TPN to the package
* updated build.py test sequence for parallel executor
* updated onnx test flow as per review comment
* add type checking log in the compare_mlvalue
* fix type cast
* blacklist some failed test as of now
* one more blacklisted test
* update packaging numpy version to 1.15.0
* update version in numpy version in linux
* Install numpy 1.15.0
* Finish up numpy requirement after test
* Try fix
* Fix ci script
* Move build dependencies like setuptools wheel numpy into docker image, so won't install them again and again for docker build
* revert the changes in install_deps.sh
* switch to nonblocking threadpool in inference session and sessions state
* switch to eigen threadpool - first draft
* refine
* refine
* add a switch to easily revert back to windows thread pool
* switch thread pool in test runner and turn on leak checker
* remove unncessary files
* fix build error
* more build fixes
* catch exceptions in parallel executor
* fix mac build error
* fix mac build error
* more build fixes
* more mac build fixes
* fix cv issue
* change macro to include cuda compiler for disabled compiler warning
* try switching the macro to win32 only
* test #error
* move #disable warning to the top
* Update onnxruntime_framework.cmake
* move eigen include to public scope
* turn off eigenthreadpool by default and add todo comment
* Added test data arguments to build.py, modified win-ci-pipeline build.
* Updated CI builds to use template tasks, added test data args, removed AZURE_BLOB_KEY uses.
* Fixed up set test data step template.
* added end-to-end nuget package test
* reset the changes in OnnxRuntime.CSharp.proj
* revert the testdata directory path
* revert inference tests proj file
* added script for running end-to-end tests
* fix in the runtest.bat
* added error checking in runtest
* fixed paths in the test project
* added runtest.sh
* fix protoc path
* updated executable attributes for the runtest scripts
* added some log to debug protoc failures
* removed the protoc and duplicate test code, reuse unit-test code for end-to-end test
* copy always
* fix working dir paths in runtest.sh
* added a build.py flag to download test data without running the c++ tests
* added a script for running the test under docker
* added script for docker run of the test
