tensorflow 2.X gpu 메모리 문제해결

    gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
    try:
        # Currently, memory growth needs to be the same across GPUs
        for gpu in gpus:
            tf.config.experimental.set_memory_growth(gpu, True)
            tf.config.per_process_gpu_memory_fraction = 0.4 #메모리 사용율 제한
        #logical_gpus = tf.config.experimental.list_logical_devices('GPU')
        #print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs")
    except RuntimeError as e:
        # Memory growth must be set before GPUs have been initialized
        print(e)