code: def _test_torchscript_quantized():
      torch = __import__("torch")
      __import__("torchvision")
      torch.backends.quantized.engine = "qnnpack"
      trace = torch.jit.load(
          os.path.join(test_data_dir, "pytorch", "d2go.pt")
      )
      torch._C._jit_pass_inline(
          trace.graph
      )  # pylint: disable=protected-access
      netron.serve("d2go", trace)
  
file_path: netron/test/backend.py
imports: import os
  import sys
label_desc: Use image node_id 6 for calling a global function with example usage: _test_torchscript_quantized() without return types