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python - 崇高的文本错误。（进口？）

问题描述

尝试在 Sublime 中运行此代码：

import tensorflow as tf
from tensorflow.keras.datasets import cifar10
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten
from tensorflow.keras.layers import Conv2D, MaxPooling2D
import pickle

pickle_in = open("X.pickle","rb")
X = pickle.load(pickle_in)

pickle_in = open("y.pickle","rb")
y = pickle.load(pickle_in)

X = X/255.0

model = Sequential()

model.add(Conv2D(256, (3, 3), input_shape=X.shape[1:]))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))

model.add(Conv2D(256, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))

model.add(Flatten())  # this converts our 3D feature maps to 1D feature vectors

model.add(Dense(64))
model.add(Activation('relu'))

model.add(Dense(1))
model.add(Activation('sigmoid'))

model.compile(loss='binary_crossentropy',
              optimizer='adam',
              metrics=['accuracy'])

model.fit(X, y, batch_size=32, epochs=10, validation_split=0.3)

但我不断收到这些错误：

Traceback (most recent call last):
  File "D:\catsdogsai\catsdogsai\catsdogsai.py", line 1, in <module>
    import tensorflow as tf
  File "C:\Users\Edward\Anaconda3\envs\aitest\lib\site-packages\tensorflow\__init__.py", line 28, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\Users\Edward\Anaconda3\envs\aitest\lib\site-packages\tensorflow\python\__init__.py", line 47, in <module>
    import numpy as np
  File "C:\Users\Edward\Anaconda3\envs\aitest\lib\site-packages\numpy\__init__.py", line 140, in <module>
    from . import _distributor_init
  File "C:\Users\Edward\Anaconda3\envs\aitest\lib\site-packages\numpy\_distributor_init.py", line 34, in <module>
    from . import _mklinit
ImportError: DLL load failed: The specified module could not be found.

我已经安装了所有模块，也激活了 Sublime 上的环境，但仍然没有。

Triend 重新安装了所有东西，但仍然没有什么好处，同样的错误。

标签： pythontensorflowanacondasublimetext3

解决方案

解决了！

我不得不将 CUDA 从 10.1 降级到 10.0，因为显然 tensorflow 只支持 10.0。

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