ValueError: Variable rnn/lstm_cell/kernel does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope? about rolo

[opalby]

did you solve your problem?The problem i met is the same as yours.

[zhangcj5131]

you should write your code in this way

tf.variable_scope(name):
cell = tf.contrib.rnn.LSTMCell(self.num_input,state_is_tuple=False) #tf.nn.rnn_cell
state = _istate
for step in range(self.num_steps):
outputs, state = tf.contrib.rnn.static_rnn(cell, [_X[step]],state, dtype=tf.float32) #tf.nn.rnn
tf.nn.rnn_cell.BasicLSTMCell
tf.get_variable_scope().reuse_variables()
return outputs

[zhangcj5131]

you should write your code in this way

tf.variable_scope(name):
cell = tf.contrib.rnn.LSTMCell(self.num_input,state_is_tuple=False) #tf.nn.rnn_cell
state = _istate
for step in range(self.num_steps):

outputs, state = tf.contrib.rnn.static_rnn(cell, [_X[step]],state, dtype=tf.float32) #tf.nn.rnn

tf.nn.rnn_cell.BasicLSTMCell

tf.get_variable_scope().reuse_variables()__

return outputs

[czc00125]

you should write your code in this way

tf.variable_scope(name):
cell = tf.contrib.rnn.LSTMCell(self.num_input,state_is_tuple=False) #tf.nn.rnn_cell
state = _istate
for step in range(self.num_steps):

outputs, state = tf.contrib.rnn.static_rnn(cell, [_X[step]],state, dtype=tf.float32) #tf.nn.rnn

tf.nn.rnn_cell.BasicLSTMCell

tf.get_variable_scope().reuse_variables()__

return outputs

你好，请问一下你又成功运行起来ROLO吗，能不能留个联系方式啊，我跑的时候遇到一些问题想要咨询一下您