code: def bind_tensors_to_proxies(self, tensors, proxies):
      if isinstance(proxies, torch.fx.Proxy):
          proxies = [proxies[i] for i in range(len(tensors))]
      assert len(tensors) == len(proxies)
      track_tensor_tree(
          tensors, proxies, constant=None, tracer=self.fx_tracer
      )
  
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 13 for calling the AutogradCompilerInstance obj's underlying member method code with example usage: obj.bind_tensors_to_proxies(tensors, proxies) without return types