How to prevent tensorflow from allocating the totality of a GPU memory?

Question

I work in an environment in which computational resources are shared, i.e., we have a few server machines equipped with a few Nvidia Titan X GPUs each.

For small to m

Answer 1

config = tf.ConfigProto()
config.gpu_options.allow_growth=True
sess = tf.Session(config=config)

https://github.com/tensorflow/tensorflow/issues/1578