code: def _relu_normalized_activation(x):
      x = tf.nn.relu(x)
      # Coefficients computed by:
      #   a = np.random.normal(0.0, 1.0, 10**6)
      #   a = np.maximum(a, 0.0)
      #   print(a.mean(), a.std())
      return (x - 0.40) / 0.58
  
imports: import numpy
  import tensorflow
  from tensorflow.contrib import slim
label_desc: Use image node_id 2 for calling a global function with example usage: _relu_normalized_activation(x) and returns: unknown