code: def _ref_hard_silu(x):
      return x * np.minimum(np.maximum(0.0, x + 3.0), 6.0) * (1.0 / 6.0)
  
imports: import numpy
  from keras import activations
  from keras import backend
  from keras import testing
label_desc: Use image node_id 8 for calling a global function with example usage: _ref_hard_silu(x) and returns: unknown