Python TFL学习坏的幻数错误？

我在tflearn中遇到此错误：

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'

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请帮忙。

删除.pyc文件，成功了

find-名称'*.pyc'-delete

在tflearn安装目录中作为 stackoverflow.com/a/514395/7738328中建议`

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删除.pyc文件，工作正常

find-名称'*.pyc'-delete

在tflearn安装目录中作为 stackoverflow.com/a/514395/7738328中建议`

---

您似乎有一些坏的

.pyc

文件（编译的Python文件）。可能值得尝试

查找-名称'*.pyc'-delete

在

tflearn

install目录中，如中所建议的，您似乎有一些坏的

.pyc

文件（已编译的Python文件）。可能值得尝试

查找-名称'*.pyc'-删除
tflearn
install目录中的
，如中所建议
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')