NotImplementedError: Cannot convert a symbolic Tensor (lstm/strided_slice:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported
numpy 1.21.6
https://blog.csdn.net/FL1768317420/article/details/136431685
有几个方法：
1.降低numpy的版本到1.19.5
pip install numpy==1.19.2 【可行】
2.降低Python的版本到3.6
3.修改array_ops.py
找到array_ops.py，我的在
E:\Anaconda3\envs\tensorflow\Lib\site-packages\tensorflow\python\ops\array_ops.py
根据错误提示，可以找到这个文件位置。
在文件中，增加
from tensorflow.python.ops.math_ops import reduce_prod 然后找到
def _constant_if_small(value, shape, dtype, name) 定义，
原代码是这样的：
把它修改为：
def creatModel():
model.add(LSTM(train_features.shape, input_shape=(train_features.shape, n_features)))
NotImplementedError: Cannot convert a symbolic Tensor (lstm/strided_slice:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported
