Enabling memory growth on GPU by default code example

Example 1: config allow growth tensorflow

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

Example 2: config allow growth tensorflow

# Assume that you have 12GB of GPU memory and want to allocate ~4GB:
gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.333)

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