code: def post_acc_grad_hook(self, input, hook_id):
      assert isinstance(input, torch.Tensor)
      assert self.hooks_proxy is not None
      hook = self.hooks_proxy[hook_id]
      proxies = self.proxy_call_hook(
          hook,
          input,
      )
      with disable_proxy_modes_tracing():
          input = [maybe_clone(input)]
          self.bind_tensors_to_proxies(input, proxies)
      return input
  
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 10 for calling the AutogradCompilerInstance obj's underlying member method code with example usage: obj.post_acc_grad_hook(input, hook_id) and returns: input