* removing warnings which are causing errors from torch and changing flags for Windows
* adding MKL library resolution and comments
* cleaning up the code
* fixing onnxruntime_python file for windows build
* fix the include order to aovid the python_d.lib issue on win debug build
* changes for warnings, typos and other comments
* merge conflict
* adding fix for mkl library error
* Revert "adding fix for mkl library error"
This reverts commit 73b87c73c2.
* fix for dll path for windows
* typo for dll path
Co-authored-by: Cheng Tang <chenta@microsoft.com>
* integrate eager mode source codde; build with cmake and integrate the python test
* Adding the python path for importing libraries in the Eager mode
* fix clang break;check if training and python enabled
* handling the linking of torch libraries across multiple platforms
* merge and fix the naming
* add build instruction
Co-authored-by: Abhishek Jindal <abjindal@OrtTrainingDev0.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net>
Co-authored-by: ajindal1 <abjindal@microsoft.com>
1. Update manylinux build scripts. This will add [PEP600](https://www.python.org/dev/peps/pep-0600/)(manylinux2 tags) support. numpy has adopted this new feature, we should do the same. The old build script files were copied from https://github.com/pypa/manylinux, but they has been deleted and replaced in the upstream repo. The manylinux repo doesn't have a manylinux2014 branch anymore. So I'm removing the obsolete code, sync the files with the latest master.
2. Update GPU CUDA version from 11.0 to 11.1(after a discussion with PMs).
3. Delete tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda10_2. (Merged the content to tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11)
4. Modernize the cmake code of how to locate python devel files. It was suggested in https://github.com/onnx/onnx/pull/1631 .
5. Remove `onnxruntime_MSVC_STATIC_RUNTIME` and `onnxruntime_GCC_STATIC_CPP_RUNTIME` build options. Now cmake has builtin support for it. Starting from cmake 3.15, we can use `CMAKE_MSVC_RUNTIME_LIBRARY` cmake variable to choose which MSVC runtime library we want to use.
6. Update Ubuntu docker images that used in our CI build from Ubuntu 18.04 to Ubuntu 20.04.
7. Update GCC version in CUDA 11.1 pipelines from 8.x to 9.3.1
8. Split Linux GPU CI pipeline to two jobs: build the code on a CPU machine then run the tests on another GPU machines. In the past we didn't test our python packages. We only tested the pre-packed files. So we didn't catch the rpath issue in CI build.
9. Add a CentOS machine pool and test our Linux GPU build on real CentOS machines.
10. Rework ARM64 Linux GPU python packaging pipeline. Previously it uses cross-compiling therefore we must static link to C Runtime. But now have pluggable EP API and it doesn't support static link. So I changed to use qemu emulation instead. Now the build is 10x slower than before. But it is more extensible.
* initial draft for kernel invoke api
* initial implementation of kernel invoker
* [eager] fix build on Mac
* [eager] increment input name in kernel invoker
* temp fix for type in eager mode
* use global default log manager
* rollback the previous commit since it break linux build
* Revert "rollback the previous commit since it break linux build"
This reverts commit 58c2c3423a.
* Eager Mode: fix linking on macOS
* optimizer_execution_frame: ignore unused lambda capture (model_path)
* fix link issue
* ORTInvoker: set correct input argument tensor element proto types
Do not set a type proto on output arguments to allow ORT to deduce them
* ORTInvoker: create only one logging manager
* Minor fix to set execution provider type correctly. (#7000)
Co-authored-by: Chandru Ramakrishnan <chandru-r@github.com>
* training fix
* support config output ml values in frame, so we can use it to implement inplace update
* Fix range loop error while building. (#7087)
Co-authored-by: Chandru Ramakrishnan <chandru-r@github.com>
* Conditionally link with nsync_cpp if not windows. (#7151)
Co-authored-by: Chandru Ramakrishnan <chandru-r@github.com>
* Fixed initialization order in ORT kernel invoker (#7342)
* Updated constructor of ort_kernel_invoker to take a logger.
* Changed linking order.
* Updated test.
* add inplace ut
* add build option
* Update include/onnxruntime/core/eager/ort_kernel_invoker.h
Co-authored-by: Derek Murray <Derek.Murray@microsoft.com>
* resolve comments in pr
* fix build break;merge from master
* fix build break
Co-authored-by: Cheng Tang <chenta@microsoft.com>
Co-authored-by: Aaron Bockover <abock@microsoft.com>
Co-authored-by: Chandru Ramakrishnan <41447659+chandru-r@users.noreply.github.com>
Co-authored-by: Chandru Ramakrishnan <chandru-r@github.com>
Co-authored-by: Derek Murray <Derek.Murray@microsoft.com>
