NVIDIA Developer Blog described an approach to optimizing TensorRT performance that goes beyond a single build route. In the description, engine construction is treated as a compilation task with several permissible solution variants.
When assembling TensorRT, according to the material, interdependent transformations of the graph intermediate representation, fusion of operations, choice of implementation, memory placement, and quantization are involved. This process in the source is called planning.
The practical effect and scale of applying Global Performance Tuner in the provided package are not disclosed. The source is presented as metadata and a synopsis of a single NVIDIA Developer Blog material, without independent confirmation.
editorial commentary
Why it matters
Probable consequence: this approach shifts focus from a single successful build route to a coordinated search for solutions across the entire compilation chain. The next observable signal will be published test results of Global Performance Tuner on specific models and GPUs. A major uncertainty is related to the absence in the package of data on speed gains, time costs, and tool availability.