    def _get_profiler_filename(self):
        """
        generate a filename for a profiler that benchmarks multiple GEMM instances
        """
        target = backend.target.Target.current()

        op_type = self._attrs["op"]
        all_op_names = list(self._attrs["op_instance"].keys())
        encoded_str = sha1((";".join(all_op_names)).encode("utf-8")).hexdigest()

        if target.use_dummy_profiling_results():
            # we don't use cache
            return f"{op_type}_{encoded_str}"
        else:
            cache_ver = target.get_profile_cache_version("gemm")
            return f"{op_type}_{encoded_str}_{cache_ver}"
generate a filename for a profiler that benchmarks multiple GEMM instances
python/aitemplate/compiler/ops/gemm_universal/gemm_common.py