* commetns for dml graph transformer
fixed ort value passing using the allocatir info
* fixed and coded maps and sequences across the abi
* cleaned up w4's
cleaned up the model info ABI
delayload directml.dll from winml
* cleaned up namepsace aliases.
renamed _winmla to winmla
this was good PR feedback from tiago a while back.
* moved files from inc to lib\api.core
cleaned up some of the cmake
* staged changes
* making windowsAI azure dev ops work.
* code review comments.
* revert changes
* Do not shutdown protobuf after ort environment gets destroyed. Lazy load lotus environment first time it is needed
* comment typo
* pr comment about calling phoenix singleton
* Make lotus_environment static in winmladapter
* commetns for dml graph transformer
fixed ort value passing using the allocatir info
* fixed and coded maps and sequences across the abi
* cleaned up w4's
cleaned up the model info ABI
delayload directml.dll from winml
* cleaned up namepsace aliases.
renamed _winmla to winmla
this was good PR feedback from tiago a while back.
* moved files from inc to lib\api.core
cleaned up some of the cmake
* staged changes
* add centos tests to linux cpu ci pipeline
* Disable failing test
* use centos6 instead of centos7
* change back to centos7
* add dotnet runtime dependency
* fix dotnet runtime dependencies
* install dotnet sdk instead of runtimes
* add more dotnet dependencies
* temporary skip failing test
* ix lib path
* reenable failing test
* turn devmode back on for winml builds
* fix some warnings. include protobuf in a way that disables some warnings
* undo protobufhelpers changes and just ignore 4100 errors in pb code
* attempt to isolate protobufhelpers errors
* add template specialization for getting tensor proto data
Add support of GPT2 model optimization:
* Match subgraph of Gelu Approximation (using Tanh).
* Fuse LayerNormalization if SkipLayerNormalization is not ready.
* Output model even if embedding layer is not fused.
* Improve Reshape Fusion to improve coverage.
* Refine constant input checking, and output fused op counter.
Update script according to latest op improvements:
* Fusion of Add Bias and Gelu.
* Fuse SkipLayerNormalization and Add Bias.
Other:
* Add ReduceSum for mask as intermediate step.
* Refactor verbose setting.
* Constant folding bug fix/improvements
- Handle constant folding for node that is assigned to a non cpu EP
- Check for errors in optimizer execution frame setup
- Improve CUDA partitioning to look for initializers in parent graphs
- Add unit test
Fixes#2474
* [NupharEP] Add parallel schedule to JIT function name
Update Nuphar docker to use Python 3.6 and ubuntu 18.04
* Update notebook
* Avoid JIT cache file name conflict
* [NupharEP] Enable parallel schedule
* Update TVM with the fix to TVM threadpool to use OpenMP if possible
* Add parallel schedule when trying to vectorize
With this change, BERT squad perf on a 4-core (8 HT) CPU goes from 187ms to 150ms
* Address CR, docs and cmake update
* Doc fix
* Fix mkl
* Fix TVM windows build when using mklml
* commetns for dml graph transformer
fixed ort value passing using the allocatir info
* fixed and coded maps and sequences across the abi
* cleaned up w4's
cleaned up the model info ABI
delayload directml.dll from winml
* cleaned up namepsace aliases.
renamed _winmla to winmla
this was good PR feedback from tiago a while back.
* remove usage of iobinding
* Change data structure to use vector of Ort::Values
* Polish bind input / output
* Use C APIrun method
* Update providers on evaluate getresults
* Remove run and IObinding interface from WinMLAdapter
* Remove use of IObinding
* bind unbound outputs code moved to learningmodelbinding
* clean up unneeded istensor adapter function
* Fix comment
* Check if session is closed before binding and clearing
* PR feedback
* commetns for dml graph transformer
fixed ort value passing using the allocatir info
* fixed and coded maps and sequences across the abi
* cleaned up w4's
cleaned up the model info ABI
delayload directml.dll from winml
- Add --skip_tests option to build.py based on github feedback
- Add debug output at end of run_subprocess so it's clearer when the output is from a different process running
- Add check for scipy as it's required by gen_test_models.py for the onnx tests
- Use log.warning instead of warnings.warn for consistency. We use the logger almost everywhere and somewhat randomly used warnings.warn in two places.
- Add check for 'wheel' dependency not being found in setup.py and handle more gracefully
- Fix invalid input name in Keras tests
* Cuda Clip() for op set 11.
* make min_val and max_value input CPU memory directly.
* Remove original cu file useless "#pragma once"
* merge duplicate logic into one class.
* Support test parameters through CLI arguments
* Add WinML do Windows x86/ARM CI builds
* Code style fixes
* Update googletest
Remove GPUTEST macros everywhere now that GTEST_SKIP is supported
* Refactor main.cpp
* Build scenario tests without DML
