* api goverannce draft
* Update CONTRIBUTING.md
updated for ABI proposals
* Update CONTRIBUTING.md
* Update CONTRIBUTING.md
* Incomplete, a draft iteartion of 2 more changes - api docs and high levle design
* pushing to see how the picture size works on screen.
* added 2 charts on api choice and distribution choice
* details on contract checking
* lint cleanup and links
* PR feedback.
* fixed markdown and lists
* more markdown and lists
* fixed broken links
* PR feedback
* commas
* PR comments from nick
* PR feedback
* fixed build section
Co-authored-by: Nick Geisler <36938193+ngeisler11@users.noreply.github.com>
* Spacing fix for code block
* Update instructions
Include java, acl, and nn api instructions on build page
* Update build instructions to link to build.md
* typo
* Update build instructions to link to build.md
* Include other minor build.md page updates
* Update CUDA version
* Fix dockerfile links
This change adds a new execution provider powered by [DirectML](https://aka.ms/DirectML).
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning on Windows. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers.
The DirectML execution provider is capable of greatly improving evaluation time of models using commodity GPU hardware, without sacrificing broad hardware support or requiring vendor-specific extensions to be installed.
**Note** that the DML EP code was moved verbatim from the existing WindowsAI project, which is why it doesn't yet conform to the onnxruntime coding style. This is something that can be fixed later; we would like to keep formatting/whitespace changes to a minimum for the time being to make it easier to port fixes from WindowsAI to ORT during this transition.
Summary of changes:
* Initial commit of DML EP files under onnxruntime/core/providers/dml
* Add cmake entries for building the DML EP and for pulling down the DirectML redist using nuget
* Add a submodule dependency on the Windows Implementation Library (WIL)
* Add docs under docs/execution_providers/DirectML-ExecutionProvider.md
* Add support for DML EP to provider tests and perf tests
* Add support for DML EP to fns_candy_style_transfer sample
* Add entries to the C ABI for instantiating the DML EP
* Fix broken link and minor wording updates
* Update links to use relative paths
* Update sample section organization
* Fix a few more links
* Update links to relative paths
* Fix link urls
* Update links to relative paths
* Update link to perf test doc page
* Update links to relative paths
* Update to relative paths for links
* Update link
* 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.
* Updates
* Remove preview texts
* Update README.md
* Updates
* Update README.md
* Update README.md
* Minor wording update
* Update README.md
* Update doc on CUDA version
* revert update
* Update readme for issue #1558
* Clean up example section
* Cosmetic updates
- Add a index of build instructions for browsability
- Update build CUDA version from 9.1 to 10
* Fix broken link
* Update README to reflect upgrade to pip requirement
* Update CuDNN version for Linux Python packages
* Clean up content
Updated ordering and add table of contents
* Minor format fixes
* Move Android NNAPI under EP section
* Add link to operator support documentation
* Fix typo
* typo fix
* remove todo section
* Update version number to 0.5.0 in preparation for release
* Update to README.md to direct to Versioning doc
* Resolve PR comment
* Remove incorrect line generation
* Minor updates to update version script
* Minor comment update
* Accomodate missing optional 'axes' when 'steps' is present in Slice op (#946)
* Accomodate missing optional axes when steps is present in Slice implementation
* PR feedback
* Update package links (#937)
* Update package links
* Minor fix
* Update README.md
* Minor edit
* Update onnx commit (#949)
* Update onnx commit
* disable failing tests which don't have to be fixed for this release
* dummy change to fix file permission
* fix file permission
* Updated TPN
* Update batch_norm_op_test.cc
* Update ThirdPartyNotices.txt
* Update ThirdPartyNotices.txt
* Update readme with package links
* Update README.md
* Update README.md
* Update README.md
* Merged Ryan and TPN changes into single PR
* minor fix
* added mkldnn to GPU pipeline. Required by C# library as it is the default execution provider
* Update README.md
* Update Versioning.md
* Update rename_manylinux.sh
Remove duplicate word
* Update README.md
Remove a 'the' as ONNX Runtime is a proper noun.
* Update CUDA version to 9.1 cudnn version to 7.1
* Update ReleaseManagement.md
* put tensorflow copy-right headers
there are around 10 lines of code is borrowed from tflite.
* Update README.md
Mention C++ API
* Update README.md
Fix link
* Update C_API.md
Fix broken link to onnxruntime_c_api.h
* Update ABI.md
Delete mention of COM and fix 'ONNX Runtime' to be two words
* Update README.md
* Update README.md
* Update C_API.md
