使用StellarGraph的按步跟踪模型无法在GPU上运行

问题描述

我正在尝试通过使用stellargraph的WatchYourStep算法来训练大型图嵌入。

由于某种原因,该模型仅在cpu上训练,不使用GPU
使用:

  • tensorflow-gpu 2.3.1
  • 具有2个GPU,cuda 10.1
  • 在nvidia-docker容器中运行。
  • 我知道tesnorflow确实找到了GPU。 (tf.debugging.set_log_device_placement(True)
  • 我尝试在with tf.device('/GPU:0'):下运行
  • 我尝试用tf.distribute.MirroredStrategy()运行它。
  • 试图卸载tensorflow并重新安装tensorflow-gpu

尽管如此,当运行 nvidia-smi 时,我在GPU上看不到任何活动,并且培训非常缓慢。
如何调试呢?

def watch_your_step_model():
    '''use the config to geenrate the WatchYourStep model'''
    cfg = load_config()
    generator           = generator_for_watch_your_step()
    num_walks           = cfg['num_walks']
    embedding_dimension = cfg['embedding_dimension']
    learning_rate       = cfg['learning_rate']
    
    wys = WatchYourStep(
        generator,num_walks=num_walks,embedding_dimension=embedding_dimension,attention_regularizer=regularizers.l2(0.5),)
    
    x_in,x_out = wys.in_out_tensors()
    model = Model(inputs=x_in,outputs=x_out)
    model.compile(loss=graph_log_likelihood,optimizer=optimizers.Adam(learning_rate))
    return model,generator,wys

def train_watch_your_step_model(epochs = 3000):
    cfg = load_config()
    batch_size      = cfg['batch_size']
    steps_per_epoch = cfg['steps_per_epoch']
    callbacks,checkpoint_file = watch_your_step_callbacks(cfg)
    
    # strategy = tf.distribute.MirroredStrategy()
    # print('Number of devices: {}'.format(strategy.num_replicas_in_sync))
    # with strategy.scope():
    
    model,wys = watch_your_step_model()

    train_gen = generator.flow(batch_size=batch_size,num_parallel_calls=8)
    train_gen.prefetch(20480000)

    history = model.fit(
        train_gen,epochs=epochs,verbose=1,steps_per_epoch=steps_per_epoch,callbacks = callbacks
    )
     
    copy_last_trained_wys_weights_to_data()
    
    return history,checkpoint_file

with tf.device('/GPU:0'):
    train_watch_your_step_model()

解决方法

我只是按照以下说明操作:https://github.com/stellargraph/stellargraph/issues/546

它对我有用。

基本上,您必须从 stellargraph github 编辑文件 setup.py 并删除 tensorflow 要求(第 25 和 27 行 https://github.com/stellargraph/stellargraph/blob/develop/setup.py)。