code: def build_naive_model():
      model = NaiveModel()
      model.build(tensor1x10.shape)
      weight = [[(i + j * 0.1) for i in range(10)] for j in range(10)]
      model.set_weights([np.array(weight)])
      return model
  
file_path: auptimizer/tests/compression/test_compressor_tf.py
imports: import unittest
  import sys
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: build_naive_model() and returns: model