code: def to_proxy(self, t):
      if t is None:
          return None
      if isinstance(t, list):
          return [self.to_proxy(x) for x in t]
      if isinstance(t, tuple):
          return tuple(self.to_proxy(x) for x in t)
      assert isinstance(t, (torch.Tensor, torch.SymInt))
      return fetch_tensor_proxy(self.fx_tracer)(t).proxy
  
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 12 for calling the AutogradCompilerInstance obj's underlying member method code with example usage: obj.to_proxy(t) and returns: fetch_tensor_proxy, None, unknown, tuple