Question

任何想法如何解决下面显示的问题？有了我在网上找到的信息，它与重新使用张量流范围的问题有关，但是没有任何作用。

ValueError: Variable rnn/basic_rnn_cell/kernel already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope? Originally defined at:

  File "/code/backend/management/commands/RNN.py", line 370, in predict
    states_series, current_state = tf.nn.dynamic_rnn(cell=cell, inputs=batchX_placeholder, dtype=tf.float32)
  File "/code/backend/management/commands/RNN.py", line 499, in Command
    predict("string")
  File "/code/backend/management/commands/RNN.py", line 12, in <module>
    class Command(BaseCommand):

我试过像这样的事情

with tf.variable_scope('scope'):
 states_series, current_state = tf.nn.dynamic_rnn(cell=cell, inputs=batchX_placeholder, dtype=tf.float32)

和这个

with tf.variable_scope('scope', reuse = True ):
 states_series, current_state = tf.nn.dynamic_rnn(cell=cell, inputs=batchX_placeholder, dtype=tf.float32)

和这个

with tf.variable_scope('scope', reuse = tf.AUTO_REUSE ):
 states_series, current_state = tf.nn.dynamic_rnn(cell=cell, inputs=batchX_placeholder, dtype=tf.float32)

有什么想法吗？

Answer 1

第一次运行模型时（打开新的python控制台时）会发生这种情况吗？

如果没有，您需要清除计算图。您可以将此行放在脚本的开头。

tf.reset_default_graph()

ValueError：变量rnn / basic_rnn_cell / kernel已经存在，不允许。您是不是要在VarScope中设置reuse = True或reuse = tf.AUTO_REUSE？

1 个答案: