code: def __init__(self, model):
      self.sess = InferenceSessionWrapper(model)
      self.batch_size = self.sess.get_inputs()[0].shape[0]
      self.onnx_input_names = [x.name for x in self.sess.get_inputs()]
      self.input_names = []
  
imports: import os
  import numpy
label_desc: Use image node_id 1 to create a new TabularNeuralNetTorchOnnxTransformer object  with example: obj = TabularNeuralNetTorchOnnxTransformer(model)