gpus = tf.config.experimental.list_physical_devices("GPU") tf.config.experimental.set_memory_growth(gpus[0], True) loss code example

Example 1: gpu training tensorflow

import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))

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))