Tflearn不好的幻數錯誤？

我收到此錯誤與tflearn：Tflearn不好的幻數錯誤？

Traceback (most recent call last): 
    File "aaa.py", line 1, in <module> 
    import tflearn 
ImportError: bad magic number in 'tflearn': b'\x03\xf3\r\n'

我已經找到一個解決方案是卸載並重新安裝。
但是，它沒有工作。
下面是代碼，我嘗試：

import tflearn 
from tflearn.layers.conv import conv_2d, max_pool_2d 
from tflearn.layers.core import input_data, dropout, fully_connected 
from tflearn.layers.estimator import regression 
import tflearn.datasets.mnist as mnist 

X, Y, test_x, test_y = mnist.load_data(one_hot=True) 

X = X.reshape([-1, 28, 28, 1]) 
test_x = test_x.reshape([-1, 28, 28, 1]) 

# Building convolutional convnet 
convnet = input_data(shape=[None, 28, 28, 1], name='input') 
# http://tflearn.org/layers/conv/ 
# http://tflearn.org/activations/ 
convnet = conv_2d(convnet, 32, 2, activation='relu') 
convnet = max_pool_2d(convnet, 2) 

convnet = conv_2d(convnet, 64, 2, activation='relu') 
convnet = max_pool_2d(convnet, 2) 

convnet = fully_connected(convnet, 1024, activation='relu') 
convnet = dropout(convnet, 0.8) 

convnet = fully_connected(convnet, 10, activation='softmax') 
convnet = regression(convnet, optimizer='adam', learning_rate=0.01, loss='categorical_crossentropy', name='targets') 

model = tflearn.DNN(convnet) 
model.load('quicktest.model')

請幫助。

來源

2017-07-19 ahmet hamza emra

你似乎有一些不好'.pyc'文件（編譯Python文件）。這可能值得嘗試'找到。在https://stackoverflow.com/a/514395/7738328中建議的'tflearn'安裝目錄中指定'-name'* .pyc'-delete' – JohanL