code: def get_tensor_symint(tensor, *, coeff=1):
      global _tensor_id_counter
      tensor_symint = _tensor_symint_registry.get(tensor)
      if tensor_symint is None:
          tensor_symint = torch._C._get_singleton_int(
              _tensor_id_counter, coeff
          )
          _tensor_id_counter += 1
          _tensor_symint_registry[tensor] = tensor_symint
      return tensor_symint
  
imports: from typing import Tuple
  import torch
  from torch._C import DispatchKey, DispatchKeySet
  from torch._prims_common import is_expandable_to
  from torch.fx.experimental.symbolic_shapes import has_free_symbols
  from torch.utils.weak import WeakTensorKeyDictionary
  from typing import *
label_desc: Use image node_id 1 for calling a global function with example usage: get_tensor_symint(tensor) and returns: tensor_symint