code: def np_softmax(x, t=1, axis=-1):
      x = x / t
      x = x - np.max(x, axis=axis, keepdims=True)
      ex = np.exp(x)
      return ex / np.sum(ex, axis=axis, keepdims=True)
  
imports: import numpy
  import tensorflow
  import tensorflow_addons
label_desc: Use image node_id 1 for calling a global function with example usage: np_softmax(x, t, axis) and returns: unknown