python - Load numpy array in google-cloud-ml job

Question

In the model I want to launch, I have some variables which have to be initialized with specific values.

I currently store these variables into numpy arrays but I don't know how to adapt my code to make it work on a google-cloud-ml job.

Currently I initialize my variable like this:

my_variable = variables.model_variable('my_variable', shape=None, dtype=tf.float32, initializer=np.load('datasets/real/my_variable.npy'))

Can someone help me ?

Answer 1

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