onnxruntime

6e652d05 - Support explicit TRT profiles from provider options (#15546)

Support explicit TRT profiles from provider options (#15546) Previous behavior of TRT EP to set TRT optimization profiles for dynamic shape input is based on input tensor values. Users can't explicitly specify the profiles. This PR makes users capable of specifying min/max/opt profiles through newly added three provider options: `trt_profile_min_shapes`, `trt_profile_max_shapes` and `trt_profile_opt_shapes` with the format of "input1:dim1xdim2...,input2:dim3xdim4...". (Note: It's similar to --minShapes, --maxShapes and --optShapes of trtexec command-line [flags](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#trtexec-flags)) For example, if you are using onnxruntime_perf_test, you can try this: `./onnxruntime_perf_test -e tensorrt -r 1 -i "trt_profile_min_shapes|imgs:1x3x384x288 trt_profile_max_shapes|imgs:32x3x384x288 trt_profile_opt_shapes|imgs:16x3x384x288" your_model_path` If the engine cache is enabled, you still need to provide these three explicit provider options in order to use this feature. ORT TRT will compare the min/max/opt profile shape with the ones saved in .profile file to decide whether to rebuild the engine. Constraints to use these provider options: (1) Need to specify min/max/opt profile shapes for all the dynamic shape input This feature is also requested by other users: https://github.com/microsoft/onnxruntime/issues/13851