Ted Themistokleous 0e827c27fb [MIGraphX EP] Add support for MIGraphX Exhaustive tune flag (#46) (#21599) ... ### Description <!-- Describe your changes. --> Set the exhaustive tune flag through the MIGraphX API and make this a Session option in Onnxruntime ### 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. --> Allow users to use MIGraphX Exhaustive tuning with Onnxruntime inferences This goers hand in hand with save/load after a model and been compiled and tuning has found. --------- Co-authored-by: Ted Themistokleous <tedthemistokleous@amd.com> Co-authored-by: Tianlei Wu <tlwu@microsoft.com>		2024-08-21 07:32:12 -07:00
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common	Update ruff and clang-format versions (#21479)	2024-07-24 11:50:11 -07:00
eager	Fix typos - 1st Wave (#21278)	2024-07-11 13:35:08 +08:00
framework	Update ruff and clang-format versions (#21479)	2024-07-24 11:50:11 -07:00
graph	CoreML: Aggregated changes to add all required ops for priority model (#21472)	2024-07-26 08:29:33 +10:00
optimizer	Utilize ext data location to reduce qd matmul memory usage (#21451)	2024-07-30 15:22:46 -07:00
platform	Update ruff and clang-format versions (#21479)	2024-07-24 11:50:11 -07:00
providers	[TensorRT EP] No workspace size limit to TRT memory pool (#21643)	2024-08-09 17:30:51 -07:00
session	[MIGraphX EP] Add support for MIGraphX Exhaustive tune flag (#46) (#21599)	2024-08-21 07:32:12 -07:00