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[英]tensorflow NotFoundError (see above for traceback): Key decode/rnn/multi_rnn_cell/cell_1/basic_rnn_cell/
[英]Tensorflow error: Attempting to use uninitialized value multi_rnn_cell
在我的模型文件中,我創建了一個多層-rnn,如下所示:
#RNN initialization part
cell = tf.contrib.rnn.GRUCell(self.global_dim, kernel_initializer=self.xavier_initializer)
self.GRU = tf.contrib.rnn.MultiRNNCell([cell for _ in range(self.rnn_layers)])
我在另一個函數中調用此單元格:
def RNN(self):
state = self.initRNNState()
inputs = tf.reshape(self.itemVec, [self.num_steps, self.batch_size, self.global_dim])
hiddenState = []
for time_step in range(self.num_steps):
_, state = self.GRU(inputs[time_step], state)
hiddenState.append(tf.reshape(state[-1], [self.global_dim])) #Store last layer
return tf.convert_to_tensor(hiddenState)
在我的主文件中,我嘗試了sess.run(tf.global_variables_initializer())
和sess.run(tf.local_variables_initializer())
,但得到了同樣的錯誤:
FailedPreconditionError (see above for traceback): Attempting to use uninitialized value multi_rnn_cell/cell_0/gru_cell/gates/kernel
[[Node: multi_rnn_cell/cell_0/gru_cell/gates/kernel/read = Identity[T=DT_FLOAT, _class=["loc:@multi_rnn_cell/cell_0/gru_cell/gates/kernel"], _device="/job:localhost/replica:0/task:0/device:GPU:0"](multi_rnn_cell/cell_0/gru_cell/gates/kernel)]]
[[Node: Neg/_11 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_1304_Neg", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]
我只是想知道為什么我的gru細胞沒有初始化。
你不顯示完整的代碼,但我敢肯定,你打電話sess.run(tf.global_variables_initializer())
然后再 RNN()
方法。 這不起作用,因為RNN()
正在向圖表添加新節點,並且需要初始化它們,就像其他人一樣。
解決方案:確保創建完整的計算圖,然后才調用初始化程序。
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