code: def set_jit_instructions(type=None):
      """Refer also https://github.com/pytorch/pytorch/blob/c90be037b46f58d2b120f46a1c466976f66817b5/torch/jit/_fuser.py#L20"""
      # torch._C._set_graph_executor_optimize(True)
      if type == "nvfuser":
          # from BERT nvidia example
          torch._C._jit_set_nvfuser_enabled(True)
          torch._C._jit_set_texpr_fuser_enabled(False)
          torch._C._jit_override_can_fuse_on_cpu(False)
          torch._C._jit_override_can_fuse_on_gpu(False)
          torch._C._jit_set_fusion_strategy(
              [("STATIC", 20), ("DYNAMIC", 20)]
          )  # maybe this is overkill
      elif type == "nvfuser-profiler":
          # via https://github.com/tunib-ai/oslo/blob/master/oslo/torch/jit/_utils.py
          torch._C._jit_set_nvfuser_enabled(True)  # fuser2
          torch._C._jit_set_profiling_executor(True)
          torch._C._jit_set_profiling_mode(True)
          torch._C._jit_set_texpr_fuser_enabled(False)  # fuser1
          torch._C._jit_override_can_fuse_on_cpu(False)
          torch._C._jit_override_can_fuse_on_gpu(False)
          torch._C._jit_set_fusion_strategy(
              [("STATIC", 20), ("DYNAMIC", 20)]
          )  # maybe this is overkill
          # torch._C._debug_set_autodiff_subgraph_inlining(False)
      elif type == "nnc":
          # via https://github.com/tunib-ai/oslo/blob/master/oslo/torch/jit/_utils.py
          torch._C._jit_set_nvfuser_enabled(False)
          torch._C._jit_set_texpr_fuser_enabled(True)
          torch._C._jit_override_can_fuse_on_cpu(False)
          torch._C._jit_override_can_fuse_on_gpu(False)
      elif type == "legacy":
          # via https://github.com/tunib-ai/oslo/blob/master/oslo/torch/jit/_utils.py
          # legacy pytorch fuser
          torch._C._jit_set_profiling_mode(False)
          torch._C._jit_set_profiling_executor(False)
          torch._C._jit_override_can_fuse_on_cpu(True)
          torch._C._jit_override_can_fuse_on_gpu(True)
      else:
          # default options
          pass
  
imports: import socket
  import sys
  import os
  import csv
  import yaml
  import psutil
  import pynvml
  import multiprocess
  import collections
  import torch
  import torch._inductor.config
  import transformers
  import json
  import random
  import numpy
  import time
  import datetime
  import tempfile
  from .data.utils import checksum_config
  import logging
  import hydra
  from omegaconf import OmegaConf, open_dict
label_desc: Use image node_id 10 for calling a global function with example usage: set_jit_instructions(type) without return types