code: def test_relu():
      class Relu(tf.Module):
          def get_input(self):
              return np.ones((1, 30), dtype=np.float32)
  
          @tf.function(
              input_signature=[
                  tf.TensorSpec(shape=(1, 30), dtype=tf.float32)
              ]
          )
          def func(self, x):
              return tf.nn.relu(x)
  
      run_all(Relu)
  
imports: import tempfile
  import tensorflow
  import numpy
  import pytest
  from common import compare_tf_tvm
  from common import run_tf_code
label_desc: Use image node_id 25 for calling a global function with example usage: test_relu() and returns: np, tf