I’m quite new to LLVM and doing a Q-learning (just a hobby) on register allocation for LLVM. RegAllocRL is based on
RegAllocBase, RegAllocBasic and add some feature to implement Q-learning algorithm.
I’ve currently run as MachineFunctionPass and things seem to work in simple case. In order to make progress on training,
I have questions and want to get some help:
- Is there any file data format used in LLVM to store information in each compilation step ? As I know, the Pass can not run several time in one compilation step, which means that I have to export data to file before compilation step finished and load from it in the next iteration.
- For training q-learning parameters, it would be necessary to run reg allocation pass several iterations to converge. Now, I train by compiling the target program once in each iteration and it will cost time. I wonder if I can train by running the specific reg pass several time to optimize my parameters ?
Since I’m new and this project is just experimental , I would appreciate any help and comments. Thanks in advance!