筆者在運行 import tensorflow as tf時出現下面的錯誤，但在運行import tensorflow時沒有出錯。

>>> 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

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后運行keras初級教程上的以下代碼也報錯：

# 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)

經查閱資料后，安裝以下網站的pip install tf-nightly

安裝完成后運行上面所有代碼就OK了，特此分享！

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