code: def __init__(self):
      self._func_set = cvt.func_set_onnx_support()
      self._nonsupport_set = set()
      if FuncInfo.params.files:
          self._nnp_set = set()
          for f in FuncInfo.params.files:
              nnp = cvt.nnabla.NnpImporter(
                  f,
                  expand_network=not FuncInfo.params.nnp_no_expand_network,
              ).execute()
              self._nnp_set |= cvt.func_set_import_nnp(nnp)
          self._func_set &= self._nnp_set
          self._nonsupport_set = self._nnp_set - self._func_set
      if FuncInfo.params.config:
          if os.path.exists(FuncInfo.params.config):
              self._config_set = cvt.func_set_import_onnx_config(
                  FuncInfo.params.config
              )
              self._func_set &= self._config_set
          elif FuncInfo.params.config.startswith("opset_"):
              self._config_set = cvt.func_set_import_onnx_opset(
                  FuncInfo.params.config
              )
              self._func_set &= self._config_set
          else:
              print("ERROR: config file not found!")
          self._nonsupport_set = self._config_set - self._func_set
          if FuncInfo.params.files:
              self._nonsupport_set = self._nnp_set - self._func_set
      if FuncInfo.params.target:
          self._func_set = cvt.func_set_onnx_output_target_list(
              self._func_set
          )
  
file_path: nnabla/python/src/nnabla/utils/cli/func_info.py
imports: import os
  import sys
  import nnabla.utils.converter
label_desc: Use image node_id 1 to create a new OnnxHandler object  with example: obj = OnnxHandler()