class_docstr: ONNX data reader to be used for extracting relevant information during conversion.
class_docstr_tok: ["ONNX","data","reader","to","be","used","for","extracting","relevant","information","during","conversion","."]
code: def add_input(self, layer_name, inputs, transpose=True, perm=None):
      self.input_map[layer_name] = {
          "inputs": inputs,
          "transpose": transpose,
          "perm": perm,
      }
  
imports: import numpy
  import onnx
  from onnx import helper, numpy_helper, shape_inference
  from hls4ml.model import ModelGraph
label_desc: Use image node_id 3 for calling the ONNXDataReader obj's underlying member method code with example usage: obj.add_input(layer_name, inputs, transpose, perm) without return types