code: def triton_kernel_wrapper_mutation_proxy_torch_dispatch_mode(
      mode, *, kernel_idx, grid, kwargs
  ):
      if mode.enable_tracing:
          trace_triton_kernel_wrapper(
              mode,
              triton_kernel_wrapper_mutation,
              {
                  "kernel_idx": kernel_idx,
                  "grid": grid,
                  "kwargs": kwargs,
              },
          )
      else:
          triton_kernel_wrapper_mutation(
              kernel_idx=kernel_idx, grid=grid, kwargs=kwargs
          )
  
      return None
  
imports: import ast
  import dataclasses
  import threading
  from typing import Any, Dict
  import torch.utils._pytree
  from torch import Tensor
  from torch._C import DispatchKey
  from torch._ops import HigherOrderOperator
  from torch._prims_common import clone_preserve_strides
  from torch._subclasses.fake_tensor import FakeTensorMode
  from torch.fx.experimental.proxy_tensor import disable_proxy_modes_tracing, ProxyTorchDispatchMode, track_tensor_tree
label_desc: Use image node_id 5 for calling a global function with example usage: triton_kernel_wrapper_mutation_proxy_torch_dispatch_mode(mode) and returns: None