Question

agent和prior是根据存储的图形和权重初始化的两个预先设置的Keras功能模型。

然后我定义一个损失函数：

agent_logits = K.cast(K.max(agent_output, axis = 2), dtype = tf.float32)
prior_logits = K.cast(K.min(prior_output, axis = 2), dtype = tf.float32)

p_a_prior = K.sum(K.log(prior_logits), axis = 1)
p_a_agent = K.sum(K.log(agent_logits), axis = 1)

loss = K.mean(K.square(p_a_agent - p_a_prior))

然后我尝试计算梯度：

grads = tf.gradients(loss, agent.trainable_weights)

我收到此错误：

AttributeError                            Traceback (most recent call last)
<ipython-input-28-435dabc8f049> in <module>()
     40 #   return grad, tf.negative(grad)
     41 
---> 42 grads = tf.gradients(loss, agent.trainable_weights)
     43 # grads = _compute_gradients(loss, agent.trainable_weights)
     44 print('[agent.inputs] = ', agent.inputs)

~/anaconda3/envs/hw3/lib/python3.5/site-packages/tensorflow/python/ops/gradients_impl.py in gradients(ys, xs, grad_ys, name, colocate_gradients_with_ops, gate_gradients, aggregation_method, stop_gradients)
    488     pending_count, loop_state = _PendingCount(ops.get_default_graph(), to_ops,
    489                                               from_ops,
--> 490                                               colocate_gradients_with_ops)
    491 
    492     # Iterate over the collected ops.

~/anaconda3/envs/hw3/lib/python3.5/site-packages/tensorflow/python/ops/gradients_impl.py in _PendingCount(graph, to_ops, from_ops, colocate_gradients_with_ops)
    169   for op in to_ops:
    170     reached_ops[op._id] = True
--> 171   _MarkReachedOps(from_ops, reached_ops)
    172 
    173   # Mark between ops.

~/anaconda3/envs/hw3/lib/python3.5/site-packages/tensorflow/python/ops/gradients_impl.py in _MarkReachedOps(from_ops, reached_ops)
    115   while queue:
    116     op = queue.popleft()
--> 117     if not reached_ops[op._id]:
    118       reached_ops[op._id] = True
    119       for output in op.outputs:

~/anaconda3/envs/hw3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py in _id(self)
   1635   def _id(self):
   1636     """The unique integer id of this operation."""
-> 1637     return self._id_value
   1638 
   1639   @property

AttributeError: 'Operation' object has no attribute '_id_value'

有人可以给我一些建议吗？

Answer 1

由于您是直接使用后端的，所以我认为您还需要从后端使用gradients方法：

grads = K.gradients(...)

“操作”对象没有属性“ _id_value”

1 个答案: