import tensorflow as tf 出错的原因找到了

最新推荐文章于 2025-07-18 20:26:36 发布

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本文解决了在使用TensorFlow时遇到的与NumPy版本不兼容的问题，详细记录了错误信息及解决方案，通过安装tf-nightly成功运行了Keras模型示例。

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笔者在运行 import tensorflow as tf时出现下面的错误，但在运行import tensorflow时没有出错。

>>> import tensorflow as tf
RuntimeError: module compiled against API version 0xc but this version of numpy is 0xa
ImportError: numpy.core.multiarray failed to import
ImportError: numpy.core.umath failed to import
ImportError: numpy.core.umath failed to import
2018-12-09 01:22:17.925262: F tensorflow/python/lib/core/bfloat16.cc:675] Check failed: PyBfloat16_Type.tp_base != nullp
tr

后运行keras初级教程上的以下代码也报错：

# univariate lstm example
from numpy import array
from keras.models import Sequential
from keras.layers import LSTM
from keras.layers import Dense
# define dataset
X = array([[10, 20, 30], [20, 30, 40], [30, 40, 50], [40, 50, 60]])
y = array([40, 50, 60, 70])
# reshape from [samples, timesteps] into [samples, timesteps, features]
X = X.reshape((X.shape[0], X.shape[1], 1))
# define model
model = Sequential()
model.add(LSTM(50, activation='relu', input_shape=(3, 1)))
model.add(Dense(1))
model.compile(optimizer='adam', loss='mse')
# fit model
model.fit(X, y, epochs=1000, verbose=0)
# demonstrate prediction
x_input = array([50, 60, 70])
x_input = x_input.reshape((1, 3, 1))
yhat = model.predict(x_input, verbose=0)
print(yhat)

经查阅资料后，安装以下网站的pip install tf-nightly

https://pypi.org/project/tf-nightly/

安装完成后运行上面所有代码就OK了，特此分享！