meta.py 文件源码

def meta_loss(make_loss):
  x, constants = _get_variables(make_loss)

  print("Optimizee variables")
  print([op.name for op in x])
  print("Problem variables")
  print([op.name for op in constants])

  fx = _make_with_custom_variables(make_loss, x)
  log.info(type(fx))
  print fx is None

  fx_array = tf.TensorArray(tf.float32, 1, clear_after_read=False)
  fx_array = fx_array.write(0, fx)
  loss = tf.reduce_sum(fx_array.stack(), name="loss")


# problem = simple()
# meta_minimize(problem)
# log.info(type(fx))
# sess = tf.Session()
# sess.run(tf.global_variables_initializer())
# print sess.run(loss)