* Adding changes to enable ov_config_options
Enabling a flag to pass OpenVINO Runtime options
as an string argument using a command line.
* Enabling OpenVINO Runtime options for perftest
Enables OpenVINO EP runtime options into onnxruntime_perf_test.
Now these options can be passed as an argument to the perf test CPP
application using key-value pairs seperated by a space via a
command line.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* minor changes added
* Corrected Indentation
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* corrected Indendation issues
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Making config options generic to all EP's
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
1. For previous openmp build, remove --use_openmp, so thread pool will become default;
2. For previous non-openmp build, add --use_openmp and rename the package to indicate the inclusion.
3. Add a mac build with openmp enabled.
* Remove support from custom ops from the base minimal build as they contribute too much binary growth to an Android build.
Add ability to explicitly enable custom op support in a minimal build.
Change one minimal build CI to test adding custom op support (unit tests are run in that build to validate)
* model building
* fix build
* winml adapter model building api
* model building
* make build
* make build again
* add model building with audio op
* inplace and inorder fft
* add ifft
* works!
* cleanup
* add comments
* switch to iterative rather than recursive and use parallelization
* batched parallelization
* fft->dft
* cleanup
* window functions
* add melweightmatrix op
* updates to make spectrogram test work
* push latest
* add onesided
* cleanup
* Clean up building apis and fix mel
* cleanup
* cleanup
* naive stft
* fix test output
* middle c complete
* 3 tones
* cleanup
* signal def new line
* Add save functionality
* Perf improvements, 10x improvement
* cleanup
* use bitreverse lookup table for performance
* implement constant initializers for tensors
* small changes
* add matmul tests
* merge issues
* support add attribute
* add tests for double data type windowfunctions and minor cleanup
* stft onesided/and not tests
* cleanup
* cleanup
* clean up
* cleanup
* remove threading attribute
* forward declare orttypeinfo
* warnings
* fwd declare
* fix warnings
* 1 more warning
* remove saving to e drive...
* cleanup and fix stft test
* add opset picker
* small additions
* add onnxruntime tests
* add signed/unsigned
* fix warning
* fix warning
* finish onnxruntime tests
* make windows namespace build succeed
* add experimental flag
* add experimental api into nuget package
* add experimental api build flag and add to windows ai nuget package
* turn experimental for tests
* add minimum opset version to new experimental domain
* api cleanup
* disable ms experimental ops test when --ms_experimental is not enabled
* add macro behind flag
* remove unused x
* pr feedback
Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
* Partial updating of ROCM reduction code.
* Update reduction_all.cu
* Add reduce template parameters.
* miopen common
* Reuse CUDA's reduction_functions.cc
* Reduction ops.
* Update remaining reduction ops to use MIOpen. double datatype is not supported, so disable those typed kernels.
* Disable a couple more unsupported tests.
* Code formatting.
* Delete ROCM-specific reduction code that is identical to CUDA reduction code.
* Fix scratch buffer early free.
* Fix merge conflict.
* first attempt nightly amd ci pipeline
* try fix bad yaml file
* try again with corrected model directory
* add convergence test as well
* update reference loss for amd mi100
* include mi100 test results csv
* update the mi100 convergence test reference values
* update batch sizes for mi100 32g
* fix gpu sku for run_convergence_test.py
* undo unrelated changes to master
* pr comments
* pr comment
Co-authored-by: Jesse Benson <jesseb@microsoft.com>
Registrations need to either be between a start and end version, or be the current version. Having a macro that uses 3 versions will break or lead to misuse when a 4th version is released.
* Move type agnostic code out of UnpackInitializerData
Refactor the unpack tensor logic to switch on data size
Add test cases
* Remove templatization of more parts
* Fix broken links to EP docs
* Fix another link
* Simplify content to link to docs site
* Update README.md
* Add build pipeline status
* Fix openvino pipeline widget
Add python 3.8/3.9 support for Windows GPU and Linux ARM64
Delete jemalloc from cgmanifest.json.
Add onnx node test to Nuphar pipeline.
Change $ANDROID_HOME/ndk-bundle to $ANDROID_NDK_HOME. The later one is more accurate.
Delete Java GPU packaging pipeline
Remove test data download step in Nuget Mac OS pipeline. Because these machines are out of control and out of our network, it's hard to make it reliable and the data secure.
Fix a doc problem in c-api-artifacts-package-and-publish-steps-windows.yml. It shouldn't copy C_API.md, because the file has been moved into a different branch.
Delete the CI build docker file for Ubuntu cuda 9.x and Ubuntu x86 32 bits
And, due to some internal restrictions, I need to rename some of the agent pools
hipFFT is transitioning to a separate repository (away from being
included in rocFFT). During this transition, using the hipFFT version
of hipfft.h won't produce a deprecation warning.
* ortmodule v0.2
* use pt module for eval
* get user outputs in yield op
* pass output grads to yield output without copy
* Disable mem_pattern for ORTModule
* Avoid allocating output buffer for Yield op
* Change to WaitAndReset to avoid overriding signal
* remove unnecessory signal/wait at the end of bg thread
* Return Session.Run result as a std::future
* export model with torch.no_grad()
* Handle bg thread's early return in Forward call
* Removed duplicated Yield kernel
* Silence "CUDA kernel missing log"
* Add missing transforms, clear iobinding (#6532)
* revert ortmodule.py to a working state first
* Apply ortmodule.py change from dev branch
* Rename to YieldOp
Co-authored-by: Sherlock Huang <bahuang@OrtTrainingDev3.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net>
Co-authored-by: ashbhandare <ash.bhandare@gmail.com>
Co-authored-by: Sherlock <baihan.huang@gmail.com>
Move ORT_ENFORCE()'s within MLTypeCallDispatcher to helper class functions to reduce the size of function names in ORT_ENFORCE().
ORT_ENFORCE() captures the containing function's name in the error message. For some usages of MLTypeCallDispatcher (i.e., with numerous types or long type names), the function name is quite long and can contribute significantly to the binary size. Usage in the Cast CPU kernel is a notable example.
This change moves the ORT_ENFORCE() checks from a class template member function template with variable length name to a helper function with a fixed length name.
* Add warning when GetGradientForOp() silently fails.
In some cases, `GetGradientForOp()` can return without creating any nodes, which may lead to an invalid graph being created.
1. Fix Nuget package build break caused by #6225
2. Delete Dockerfile.centos_gpu. It is not used anywhere.
3. Fix Linux CUDA 10.2 build error caused by glibc upgrade
