培训时，Google Cloud ML以非零状态退出245 [英] Google Cloud ML exited with a non-zero status of 245 when training

问题描述

我尝试使用以下示例代码在Google Cloud ML上训练模型：

I tried to train my model on Google Cloud ML using this sample code:

import keras
from keras import optimizers
from keras import losses
from keras import metrics
from keras.models import Model, Sequential
from keras.layers import Dense, Lambda, RepeatVector, TimeDistributed
import numpy as np

def test():
    model = Sequential()
    model.add(Dense(2, input_shape=(3,)))
    model.add(RepeatVector(3))
    model.add(TimeDistributed(Dense(3)))
    model.compile(loss=losses.MSE,
                  optimizer=optimizers.RMSprop(lr=0.0001),
                  metrics=[metrics.categorical_accuracy],
                  sample_weight_mode='temporal')
    x = np.random.random((1, 3))
    y = np.random.random((1, 3, 3))
    model.train_on_batch(x, y)

if __name__ == '__main__':
    test()

我得到这个错误：

and i got this error:

The replica master 0 exited with a non-zero status of 245. Termination reason: Error.

详细的错误输出很大，所以我正在粘贴这里是pastebin

Detailed error output is big, so i'm pasting it here in pastebin

推荐答案

问题已解决。我所要做的就是使用tensorflow 1.1.0，而不是默认的1.0.1

Problem is resolved. All I had to do is use tensorflow 1.1.0 instead default 1.0.1

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