class_docstr: References
  ----------
  * https://github.com/onnx/onnx/blob/master/docs/Operators.md
class_docstr_tok: ["References","--","--","--","--","--","*","https",":","\/\/github.com\/onnx\/onnx\/blob\/master\/docs\/Operators.md"]
code: def _node_input_and_transformer(self, node_name):
      maybe_layer = self._node_map[node_name]
      if isinstance(maybe_layer, tuple):
          transformer, input_layer = maybe_layer
          return input_layer, transformer
      else:
          return maybe_layer, None
  
file_path: OMLT/src/omlt/io/onnx_parser.py
imports: import math
  import numpy
  from onnx import numpy_helper
  from omlt.neuralnet.layer import ConvLayer2D, DenseLayer, IndexMapper, InputLayer, PoolingLayer2D
  from omlt.neuralnet.network_definition import NetworkDefinition
label_desc: Use image node_id 10 for calling the NetworkParser obj's underlying member method code with example usage: obj._node_input_and_transformer(node_name) and returns: input_layer,  transformer, maybe_layer,  None