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### 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> |
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| .. | ||
| backend | ||
| datasets | ||
| providers/tvm | ||
| tools | ||
| torch_cpp_extensions | ||
| training | ||
| __init__.py | ||
| _ld_preload.py | ||
| _pybind_state.py.in | ||
| exported_symbols.lst | ||
| numpy_helper.h | ||
| onnxruntime_collect_build_info.py | ||
| onnxruntime_inference_collection.py | ||
| onnxruntime_pybind.h | ||
| onnxruntime_pybind_exceptions.cc | ||
| onnxruntime_pybind_exceptions.h | ||
| onnxruntime_pybind_iobinding.cc | ||
| onnxruntime_pybind_mlvalue.cc | ||
| onnxruntime_pybind_mlvalue.h | ||
| onnxruntime_pybind_module.cc | ||
| onnxruntime_pybind_ortvalue.cc | ||
| onnxruntime_pybind_quant.cc | ||
| onnxruntime_pybind_schema.cc | ||
| onnxruntime_pybind_sparse_tensor.cc | ||
| onnxruntime_pybind_state.cc | ||
| onnxruntime_pybind_state.h | ||
| onnxruntime_pybind_state_common.cc | ||
| onnxruntime_pybind_state_common.h | ||
| onnxruntime_validation.py | ||
| pybind.def | ||
| version_script.lds | ||
| version_script_expose_onnx_protobuf.lds | ||