I’ve seen there is an experimental static runtime ( pytorch/torch/csrc/jit/runtime/static at master · pytorch/pytorch · GitHub 9 ), but documentation is somewhat limited. It seems like an optimized runtime for models with particular graph restrictions. What kind of performance gains can be expected? Are there other advantages of using this runtime?