class_docstr: Exporter for converting models to their caffe2 init and predict nets.
  Does not rely on c2_prepared, but rather splits the ONNX model into
  the init and predict nets directly.
class_docstr_tok: ["Exporter","for","converting","models","to","their","caffe2","init","and","predict","nets",".","Does","not","rely","on","c2_prepared",",","but","rather","splits","the","ONNX","model","into","the","init","and","predict","nets","directly","."]
code: def get_export_paths(self, path):
      export_dir = os.path.dirname(path)
      return (
          os.path.join(export_dir, "init_net.pb"),
          os.path.join(export_dir, "predict_net.pb"),
      )
  
imports: import os
  from typing import Dict, List
  from caffe2.python import core, workspace
  from pytext.config import ConfigBase
  from pytext.config.field_config import FeatureConfig, FloatVectorConfig
  from pytext.config.module_config import ExporterType
  from pytext.exporters.exporter import ModelExporter
  from pytext.fields import FieldMeta
  from pytext.utils import mobile_onnx
  from pytext.utils.file_io import PathManager
label_desc: Use image node_id 3 for calling the InitPredictNetExporter obj's underlying member method code with example usage: obj.get_export_paths(path) and returns: os,  os