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* Support to allow user to specify compute stream per session Create computation cuda stream explicitly rather than use default legacy stream or per-thread default stream. remove some redudant cudaStreamSynchronize fix gpt2 model test failures don't use default stream in nccl either. add stream schronization in OnRunEnd() using cub::DeviceScan::InclusiveSum which can be called with stream specified. fix topK failure due to latest rebase fix tensorrt support user specified stream add user_stream support in tensorrt EP use same stream for both tensort and CUDA EP. fix ScatterND specify stream for adasum and p2p kernels. fix loop fix CApiTest.custom_op_handler fix CApiTest.varied_input_custom_op_handler change for cudaMemcpyFromSymbol improve provider options for user specified compute stream * add changes for ROCM EP * fix GatherGrad UT for ROCM EP * clean code and fix NonMaxSuppression * use default stream for ROCM now * fix CApiTest.custom_op_handler:OrtFormatCustomOpTests.ConvertOnnxModelToOrt * fix tensorrt ut: CApiTest.io_binding_cuda Co-authored-by: Weixing Zhang <wezhan@microsoft.com> |
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| .. | ||
| backend | ||
| datasets | ||
| tools | ||
| training | ||
| __init__.py | ||
| _ld_preload.py | ||
| _pybind_state.py | ||
| exported_symbols.lst | ||
| onnxruntime_inference_collection.py | ||
| onnxruntime_pybind_exceptions.h | ||
| onnxruntime_pybind_mlvalue.cc | ||
| onnxruntime_pybind_mlvalue.h | ||
| onnxruntime_pybind_state.cc | ||
| onnxruntime_pybind_state_common.cc | ||
| onnxruntime_pybind_state_common.h | ||
| onnxruntime_validation.py | ||
| pybind.def | ||
| version_script.lds | ||