TypeError: Tensor objects are only iterable when eager execution is enabled. To iterate over this tensor use tf.map_fn.
//错误信息
TypeError Traceback (most recent call last)
<ipython-input-11-f6a31a59ae6e> in <module>()
----> 1 loss3,RMSE_train1,MAE_train1,tv,train_pred_concat,RMSE_train_normalized,MAE_train1_normalized=train_lstm()
2 #print('train_loss:',loss3)
<ipython-input-10-dba5b61ed852> in train_lstm(batch_size, time_step)
83 #训练集的预测数据和真实数据
84 train_pred_concat=[]
---> 85 train_pred_concat=train_predata(pred_train1)#有可能需要placeholder一下，看运行情况，标准化的训练集预测数据
86 train_end=len(normalized_train_data)
87 train_y_normalized=normalized_train_data[0:train_end-1,3]
<ipython-input-8-f538bad668c6> in train_predata(pred_traindata, time_step)
19 b=train_pred5[-1].T#取出最后一行，即编号为17495的那行
20 train_pred_concat=tf.concat((train_pred6,b),axis=0)#凑出完整的预测数据（标准化版）
---> 21 pd.DataFrame(train_pred_concat).to_csv('E:\\TF_jupyter\\sht\\bishe_LSTM\\github-LSTM\\足球\\lstm_new\\new_SOC_Untitled14\\train_pred_concat.csv')
22 #print('---return train_pred_concat---')
23 return train_pred_concat
D:\anaconda3\envs\tensorflow\lib\site-packages\pandas\core\frame.py in __init__(self, data, index, columns, dtype, copy)
500 elif isinstance(data, abc.Iterable) and not isinstance(data, (str, bytes)):
501 if not isinstance(data, (abc.Sequence, ExtensionArray)):
--> 502 data = list(data)
503 if len(data) > 0:
504 if is_dataclass(data[0]):
D:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py in __iter__(self)
475 if not context.executing_eagerly():
476 raise TypeError(
--> 477 "Tensor objects are only iterable when eager execution is "
478 "enabled. To iterate over this tensor use tf.map_fn.")
479 shape = self._shape_tuple()
TypeError: Tensor objects are only iterable when eager execution is enabled. To iterate over this tensor use tf.map_fn.
解决方法
sess=tf.InteractiveSession()
pd.DataFrame(train_pred_concat.eval()).to_csv('E:\\TF_jupyter\\sht\\bishe_LSTM\\github-LSTM\\足球\\lstm_new\\new_SOC_Untitled14\\train_pred_concat.csv')
分析
由错误信息可以看出，错误的地方在pd.DataFrame(train_pred_concat).to_csv(‘E:\TF_jupyter\sht\bishe_LSTM\github-LSTM\足球\lstm_new\new_SOC_Untitled14\train_pred_concat.csv’) 这是因为train_pred_concat是Tensor变量，不能这样直接保存，需要.eval()一下才正确，注意括号不能省略，否则不起作用！！！！
欢迎批评指正
