code: def splitter(model):
      params = list(model.parameters())
      return [
          # weights and biases of the first linear layer
          params[:2],
          # weights and biases of the second linear layer
          params[2:],
      ]
  
file_path: mlflow/examples/fastai/train.py
imports: import argparse
  import numpy
  from fastai.learner import Learner
  from fastai.tabular.all import TabularDataLoaders
  from sklearn.datasets import load_iris
  from torch import nn
  import mlflow
label_desc: Use image node_id 3 for calling a global function with example usage: splitter(model) and returns: list