code: def add_kernel(self, kernel) -> int:
      with self.lock:
          if kernel in self.kernel_to_id:
              return self.kernel_to_id[kernel]
  
          idx = len(self.id_to_kernel)
          self.id_to_kernel[idx] = kernel
          self.kernel_to_id[kernel] = idx
          return idx
  
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 1 for calling the KernelSideTable obj's underlying member method code with example usage: obj.add_kernel(kernel) and returns: idx, self