transformer_vae.py 文件源码

def multinomial_sample(x, vocab_size, temperature):
  """Multinomial sampling from a n-dimensional tensor."""
  if temperature > 0:
    samples = tf.multinomial(tf.reshape(x, [-1, vocab_size]) / temperature, 1)
  else:
    samples = tf.argmax(x, axis=-1)
  reshaped_samples = tf.reshape(samples, common_layers.shape_list(x)[:-1])
  return tf.to_int32(reshaped_samples)