你确定这代码能跑吗？

[JianghaoPi]

那个stock_predict.py，import tensorflow as tf都没有，后面使用tf怎么能成功？还有那个rnn是哪里来的？ 第二个stock_predict_2.py，会发生越界。请问能跑的代码是哪个版本？

[qingaidexin]

你好，我刚才运行stock_predict２.py　这个代码　，报这个错诶　 File "", line 10, in get_train_data y=normalized_train_data[i:i+time_step,7,np.newaxis]

IndexError: index 7 is out of bounds for axis 1 with size 7

[LouisScorpio]

@JianghaoPi 谢谢提醒。 以下是编辑错误，已在代码中修改。 import tensorflow 改成 import tensorflow as tf
rnn应该改成lstm 数据集已经换了一个 @qingaidexin 数据集的问题，已经换了一个

[anxxxxx]

楼主，目前提示错误，麻烦问下stock_predict_2.py 可以直接跑吗？需要调整什么吗？还是python和tensorflow是哪个版本的啊？ ValueError: Variable first_lstm/RNN/BasicLSTMCell/Linear/Matrix already exists, disallowed. Did you mean to set reuse=True in VarScope? Originally defined at:

File "stock_predict2.py", line 55, in lstm output_rnn,final_states=tf.nn.dynamic_rnn(cell, input_rnn,initial_state=init_state, dtype=tf.float32) File "stock_predict2.py", line 66, in trainlstm pred,=lstm(batch_size) File "stock_predict.py", line 86, in train_lstm()

[LouisScorpio]

@anxxxxx 你可以试试训练和测试分开进行

[anxxxxx]

谢谢楼主，跑通了！

[Fei-FeiLiang]

这个代码貌似跑不了啊

[Fei-FeiLiang]

@anxxxxx 怎么跑通的，可否说一下？谢谢哈！

[anxxxxx]

按照楼主说的，先注释掉预测，运行一次；再注释掉训练，预测一次，就OK了

axy5106@126.com

发件人： feifeiliang 发送时间： 2017-03-23 16:42 收件人： LouisScorpio/deeplearning 抄送： anxxxxx; Mention 主题： Re: [LouisScorpio/deeplearning] 你确定这代码能跑吗？ (#2) @anxxxxx 怎么跑通的，可否说一下？谢谢哈！ — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[auxs2015]

@anxxxxx 是不是环境的关系啊，我的tf是0.8,python 2.7还是报下面错：

Traceback (most recent call last): File "stock_predict_2.py", line 115, in train_lstm() File "stock_predict_2.py", line 97, in trainlstm pred,=lstm(X) File "stock_predict_2.py", line 80, in lstm input_rnn=tf.reshape(input_rnn,[-1,time_step,rnn_unit]) #��tensorת��3ά����Ϊlstm cell����� File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1092, in reshape name=name) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/op_def_library.py", line 411, in apply_op as_ref=input_arg.is_ref) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 566, in convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/constant_op.py", line 179, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/constant_op.py", line 162, in constant tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape)) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 332, in make_tensor_proto _AssertCompatible(values, dtype) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 272, in _AssertCompatible (dtype.name, repr(mismatch), type(mismatch).name)) TypeError: Expected int32, got list containing Tensors of type '_Message' instead.