code: def as_graphcontext(graph: torch.Graph) -> jit_utils.GraphContext:
      return jit_utils.GraphContext(
          graph=graph,
          block=graph.block(),
          opset=_constants.ONNX_TORCHSCRIPT_EXPORTER_MAX_OPSET,
          original_node=None,  # type: ignore[arg-type]
          params_dict={},
          env={},
      )
  
imports: import io
  import numpy
  import onnx
  import pytorch_test_common
  import torch
  from pytorch_test_common import skipIfUnsupportedMinOpsetVersion
  from torch.onnx import _constants, utils
  from torch.onnx._globals import GLOBALS
  from torch.onnx._internal import jit_utils
  from torch.testing._internal import common_utils
label_desc: Use image node_id 2 for calling a global function with example usage: as_graphcontext(graph) and returns: jit_utils