code: def float32_two_output_model():
      x = tf.keras.Input(
          batch_input_shape=(10, 20), name="input", dtype=tf.float32
      )
      y = tf.nn.relu(x)
      out2 = tf.nn.relu6(x, name="output2")
      out1 = tf.nn.relu(y, name="output1")
      return tf.keras.Model(inputs=x, outputs=[out1, out2])
  
imports: import itertools
  import os
  import platform
  from os import chdir, getcwd
  from shutil import rmtree
  from tempfile import mkdtemp
  import numpy
  import pytest
  import coremltools
  from coremltools.converters.mil.frontend.tensorflow.test.test_tf_conversion_api import TestInputOutputConversionAPI
  from coremltools.converters.mil.frontend.tensorflow.test.test_tf_conversion_api import TestiOS16DefaultIODtype
  from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.testing_reqs import backends
  import tensorflow
  from tensorflow import keras
  from tensorflow.keras import layers
label_desc: Use image node_id 12 for calling a global function with example usage: float32_two_output_model() and returns: tf