code: def tensor_pre_hook(self, inputs, hook_id, i: int):
      assert self.hooks_proxy is not None
      hook = self.hooks_proxy[hook_id]
      proxy = self.proxy_call_hook(
          hook,
          inputs[i],
      )
      with disable_proxy_modes_tracing():
          inputs[i] = maybe_clone(inputs[i])
          self.bind_tensors_to_proxies([inputs[i]], [proxy])
      return inputs
  
imports: import contextlib
  import functools
  from typing import List, Optional
  import torch
  from torch._dynamo.external_utils import call_backward, call_hook
  from torch._dynamo.source import GetItemSource, LocalSource
  from torch._dynamo.utils import counters, lazy_format_graph_code
  from torch._logging import getArtifactLogger
  from torch._prims_common import clone_preserve_strides
  from torch._subclasses import FakeTensorMode
  from torch.fx import GraphModule
  from torch.fx.experimental.proxy_tensor import decompose, disable_autocast_cache, disable_proxy_modes_tracing, fetch_tensor_proxy, ProxyTorchDispatchMode, PythonKeyTracer, track_tensor_tree
  from torch.fx.experimental.symbolic_shapes import DimDynamic, ShapeEnv
  from torch.fx.proxy import Proxy
label_desc: Use image node_id 7 for calling the AutogradCompilerInstance obj's underlying member method code with example usage: obj.tensor_pre_hook(inputs, hook_id, i) and returns: inputs