我想使用 TensorFlow 来解决有监督的问题。很简单：
- 字符串输入列表。该字符串的格式为：“words_10-06-2017”
- 浮点输出列表。标签是浮点数：3.0
我想使用具有该格式的字符串集和一组浮点标签来训练模型。
系统信息
- 视窗 7 x64
- 张量流 1.2
- Python 3.5.2
- IDE Pycharm 2017.1.1
我正在使用这段代码：
# Input placeholder
x = tf.placeholder(tf.string, shape=[None, 1, 1])
...
# Define a lstm cell with tensorflow
lstm_cell = tf.nn.rnn_cell.LSTMCell(self.first_label_neurons, forget_bias=1)
# Get lstm cell output
outputs, states = tf.nn.dynamic_rnn(lstm_cell, x, dtype=tf.string)
dropout = tf.nn.dropout(outputs[-1], keep_probably)
# Linear activation, using rnn inner loop last output
y_prediction = tf.matmul(dropout, weights) + biases
问题出在这一行：
outputs, states = tf.nn.dynamic_rnn(lstm_cell, x, dtype=tf.string)
这是输出：
ValueError：需要变量 rnn/lstm_cell/kernel 的初始化程序
这可能是 TensorFlow 问题吗？
感谢您的关注
全部输出：
File "D:\ComputerScience\workspaces\model.py", line 602, in rnn_lstm
outputs, states = tf.nn.dynamic_rnn(lstm_cell, x, dtype=tf.string)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\rnn.py", line 574, in dynamic_rnn
dtype=dtype)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\rnn.py", line 737, in _dynamic_rnn_loop
swap_memory=swap_memory)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\control_flow_ops.py", line 2770, in while_loop
result = context.BuildLoop(cond, body, loop_vars, shape_invariants)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\control_flow_ops.py", line 2599, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\control_flow_ops.py", line 2549, in _BuildLoop
body_result = body(*packed_vars_for_body)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\rnn.py", line 722, in _time_step
(output, new_state) = call_cell()
File "C:\Python352\lib\site-packages\tensorflow\python\ops\rnn.py", line 708, in <lambda>
call_cell = lambda: cell(input_t, state)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 180, in __call__
return super(RNNCell, self).__call__(inputs, state)
File "C:\Python352\lib\site-packages\tensorflow\python\layers\base.py", line 441, in __call__
outputs = self.call(inputs, *args, **kwargs)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 542, in call
lstm_matrix = _linear([inputs, m_prev], 4 * self._num_units, bias=True)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 1017, in _linear
initializer=kernel_initializer)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 1065, in get_variable
use_resource=use_resource, custom_getter=custom_getter)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 962, in get_variable
use_resource=use_resource, custom_getter=custom_getter)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 360, in get_variable
validate_shape=validate_shape, use_resource=use_resource)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 183, in _rnn_get_variable
variable = getter(*args, **kwargs)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 352, in _true_getter
use_resource=use_resource)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 690, in _get_single_variable
name=name, shape=shape, dtype=dtype)
File "C:\Python352\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 770, in _get_default_initializer
% (name, dtype.base_dtype))
ValueError: An initializer for variable rnn/lstm_cell/kernel of <dtype: 'string'> is required