code: def l2_promote():
      import ctypes
  
      _libcudart = ctypes.CDLL("libcudart.so")
      # Set device limit on the current device
      # cudaLimitMaxL2FetchGranularity = 0x05
      pValue = ctypes.cast(
          (ctypes.c_int * 1)(), ctypes.POINTER(ctypes.c_int)
      )
      _libcudart.cudaDeviceSetLimit(
          ctypes.c_int(0x05), ctypes.c_int(128)
      )
      _libcudart.cudaDeviceGetLimit(pValue, ctypes.c_int(0x05))
      assert pValue.contents.value == 128
  
file_path: flash-attention/training/src/callbacks/gpu_affinity.py
imports: import torch
  from pytorch_lightning import Callback, Trainer, LightningModule
  import logging
label_desc: Use image node_id 1 for calling a global function with example usage: l2_promote() without return types