### Description
support building xnnpack for IOS
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
**Description**: Changes to the MIGraphx execution provider code to
allow for stream synchronization on the gpu side
**Motivation and Context**
Performance boost by removing redundant host to device synchronizations
The current implementation of the execution provider continuously calls
hipDeviceSynchronize() between computations which adds overhead and an
idle wait between the GPU's computations. This is noticeable during
device
This change leverages new functionality that's been added to MIGraphX to
allow for GPU side synchronization which avoids the need for
host->device waits.
To maintain backwards compatibility with older MIGraphX versions, the
compile time define MIGRAPHX_STREAM_SYNC has been added to the API to
allow for older version operate with newer builds of onnxruntime without
loss of functionality to the current feature set as of (08/09/22)
Co-authored-by: Ted Themistokleous <tthemist@amd.com>
Update for ROCm CI before reland tunable GEMM #12853. This PR also update
composable kernel to use CMakes's HIP language support so that we can
mix C/C++ compiler with HIP compiler instead of locking to hip-clang
### Description
fix XNNPACK on WebAssembly SIMD.
Flag "-msimd128" need to be applied to every source file when compiling
WASM SIMD. Currently only a part of the source files are compiled with
this flag so we get inconsistent result for
`sizeof(xnn_f32_minmax_params)` because the type definition include a
`#ifdef` for `__wasm_simd128__`. The inconsistency causes writing
garbage data to a stack variable and eventually cause the crash.
XNNPACK libraries are C libraries so need to apply the build flags not
only to `CMAKE_CXX_FLAGS` but also to `CMAKE_C_FLAGS`.
### Description
This updates the oneDNN library used by oneDNN ep from version 2.6 to
version 2.7
### Motivation and Context
This brings in the many improvements incorporated into the oneDNN
library to the oneDNN execution provider.
Signed-off-by: George Nash <george.nash@intel.com>
* consume ONNX 1.12.1 to prevent vulnerability issue while loading external tensors
* update ONNX 1.12.1
* test updated PR
* use official rel-1.12.1 commit
* upgrade emsdk to 3.1.19
* fix build break
* ignore '-Wunused-but-set-variable' in eigen
* add malloc and free in exported functions
* EXPORTED_FUNCTIONS
* Split GemmBase RocBlasGemm
* Add composable kernel GEMM baseline
* Make linter happy
* Address review comment
* Update bert cases with batchsize
* Adjust includes to fix IWYU lint
* Only builds and links used ck kernels to improve building time
* Remove warmup run on SelectImpl
* Add comment to utility function
* Mute cpplint
* Make RocBlasGemm<T>::SelectImpl semantically correct
* Add reduced basic test cases for ck gemm
* More robust gemm testing
* Fix warnings
* Fix grammar
* add description of build ORT+TVM EP on Windows
* fix cmake error related to symlink creation on Windows
* add llvm config path to build flags for correct build on Windows
* update TVM_EP.md for llvm_config build arg
* fix warnings skipping during build on Windows
* fix using string or wstring for model path to correct build on Windows (MSVC error)
* fix error in custom logger for correct build on Windows
* implement glob algorithm for Windows
* additional build fixes
* update TVM with export of VM symbols for dll
* description of nasm issue and workaround
* update TVM with export of Executable from VM symbols for dll
* description of installation of ipp-crypto dependencies on Windows
* cmake key for ipp-crypto build
* fix wstring for TVMso EP
* fix ipp-crypto build
* cmake key onnxruntime_TVM_USE_HASH switch off not specific methods, but full hash functionality
* fix absolute path to compiled lib
* update TVM_EP.md, fix lint warnings
* update TVM_EP.md
* small fixes after review
* switch on handshake functionality for Linux workflow
Co-authored-by: Valery Chernov <valery.chernov@deelvin.com>
Co-authored-by: KJlaccHoeUM9l <wotpricol@mail.ru>
* infrastructure for handshake mechanism was implemented. sha256 was selected as first hash algorithm
* check hash during compile in TVMso EP
* add IPP-CRYPTO to external dependencies for TVM EP
* made checkHash method constant
* removed the public implementation of the SHA-256 algorithm so as not to cause a license conflict
* implemented SHA-256 calculation using ipp-crypto library
* fix dependency for ipp-crypto
* add provider options for hash check
* update documentation for added provider options
* add hash check condition
* fix docs
* fix lint
* fix ORT_THROW
Co-authored-by: Valery Chernov <valery.chernov@deelvin.com>
Co-authored-by: KJlaccHoeUM9l <wotpricol@mail.ru>
* update trt 8.4ga
* trt 8.4 linux ci pipeline
* fix cmake
* placeholder_builder
* trt 8.4 windows pipeline
* gpu package pipeline
* trt 8.4.1.5 , packaging pipeline updates
* python packaging
* ctest timeout
* python packaging test
* bump timeout
* python format
* format
* revert
* newline
* enable trt python tests
* typo
* python format
* disable on windows
Prior to this every test shared the same tolerances. This meant
that if an ONNX test failed due to a small but acceptable difference in
output, the only alternative was to disable the test entirely.
In op set 17, the DFT operator is being added. Without this change, the
tests for that operator fail because the output is off by about 5e-5.
It's better to keep test coverage for this new op rather than disable
the test entirely.
Also prior to this change, the global tolerances were not shared between
C++, JavaScript, and Python tests. Now they are.
Also fix various minor issues raised by linters.
Unblocks https://github.com/microsoft/onnxruntime/issues/11640.
* update TVM
* get alignment constant from TVM
* update TVM_VM_SetInputs to upstream with TVM API
* fix CI issue: update TVM EP dependencies
* add sudo
* revert changes needed to install missing package
* add package for TVM EP CI
Co-authored-by: Valery Chernov <valery.chernov@deelvin.com>
Co-authored-by: KJlaccHoeUM9l <wotpricol@mail.ru>
* Initiate Ort SNPE EP
* fix snpe ep windows build which is caused by the utility method (ToUTF8String) name change on master
* correct the source path for libonnxruntime.so while building for andorid package
* add AdditionalDependencies for amr64
* On MS-Windows, the patchfile must be a text file, i.e. CR-LF must be used as line endings. A file with LF may give the error: "Assertion failed, hunk, file patch.c, line 343," unless the option '--binary' is given.
* fix build failure if snpe is not enabled
* update doc for contrib op
* separate out snpe ep settings to onnxruntime_snpe_provider.cmake
* renaming according review comments
* update according review comments
* Implement XNNPACK support via an EP.
* Layout transform uses the GraphPartitioner infrastructure.
* Node fusion is supported.
* Conv and MaxPool implementations were ported from Changming's PR.
* Added optional mutex in InferenceSession::Run as we only want to allow sequential calls if xnnpack is enabled
