Keras設定GPU使用記憶體大小(Tensorflow backend)

純粹搬運工，接受英語的請看原網址：Keras Tensorflow backend automatically allocates all GPU memory。

通過設定Keras的Tensorflow後端的全局變量達到。

import os
import tensorflow as tf
import keras.backend.tensorflow_backend as KTF

def get_session(gpu_fraction=):
    '''Assume that you have 6GB of GPU memory and want to allocate ~2GB'''

    num_threads = os.environ.get('OMP_NUM_THREADS')
    gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=gpu_fraction)

    if num_threads:
        return tf.Session(config=tf.ConfigProto(
            gpu_options=gpu_options, intra_op_parallelism_threads=num_threads))
    else:
        return tf.Session(config=tf.ConfigProto(gpu_options=gpu_options))
           

使用過程中顯示的設定session:

import keras.backend.tensorflow_backend as KTF
KTF.set_session(get_session())