code: def _convert_ondevice_dynamic_jit(
      model, method_name, inplace=False, debug=False
  ):
      return _convert_ondevice_jit(
          model,
          method_name,
          inplace,
          debug,
          quant_type=QuantType.DYNAMIC,
      )
  
imports: import torch
  from torch.ao.quantization.qconfig import QConfig
  from torch.ao.quantization.quant_type import QuantType
  from torch.jit._recursive import wrap_cpp_module
label_desc: Use image node_id 15 for calling a global function with example usage: _convert_ondevice_dynamic_jit(model, method_name, inplace, debug) and returns: _convert_ondevice_jit