RandySheriffH 75584c5fa8 Enabling thread pool to be numa-aware (#13778) ... The PR enables ort thread pool to be numa-aware, so that threads could be evenly created and distributed among numa nodes. In addition, to facilitate performance tuning, the PR opens a new API allowing customers to attach threads to certain logical processors. Please check the API [definition](https://github.com/microsoft/onnxruntime/pull/13778/files#diff-5845a5c76fb64abdc8f0cffe21b37f8da1712674eb3abc4cd87190891be1bd48) for details. Co-authored-by: Randy Shuai <rashuai@microsoft.com>		2022-12-12 10:33:55 -08:00
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abi_custom_registry_impl.cpp
abi_custom_registry_impl.h
pch.h
winml_adapter_apis.h	User/brianma/eo (#13152)	2022-09-30 09:43:56 -07:00
winml_adapter_c_api.cpp	All LearningModelSessions created from a common LearningModelDevice should share the same thread pool (#11457)	2022-05-13 11:12:43 -07:00
winml_adapter_c_api.h	Enabling thread pool to be numa-aware (#13778)	2022-12-12 10:33:55 -08:00
winml_adapter_dml.cpp
winml_adapter_environment.cpp	Session-aware and thread-safe CUDA profiler (#13706)	2022-12-09 13:22:12 -08:00
winml_adapter_execution_provider.cpp
winml_adapter_model.cpp	Enabling thread pool to be numa-aware (#13778)	2022-12-12 10:33:55 -08:00
winml_adapter_model.h
winml_adapter_session.cpp	Refactor InferenceSession Load member functions. (#12430)	2022-08-03 16:28:26 -07:00