code: def end_capture(self, outputs):
      self.stack.close()
      self.fx_tracer.create_node(
          "output",
          "output",
          (self.fx_tracer.create_arg(self.to_proxy(outputs)),),
          {},
      )
      graph = GraphModule(
          self.fx_tracer.root, self.fx_tracer.graph, "CompiledAutograd"
      )
      compiled_autograd_log.info(
          "%s", lazy_format_graph_code("Compiled autograd graph", graph)
      )
      return self.compiler_fn(graph)
  
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 11 for calling the AutogradCompilerInstance obj's underlying member method code with example usage: obj.end_capture(outputs) and returns: self