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yangsiran avatar yangsiran commented on May 18, 2024

@wwb306 目前的run loop训练的顶点都是从图里面按顶点权重采样得到的（train_node_type)，id_file仅仅是用来指定测试集的。

您可以替换一下这段代码，让样本顶点从文件中读取。事实上，被注释的代码正好做了这一点。

euler/tf_euler/python/run_loop.py

Lines 93 to 107 in 292666b

if flags_obj.model == 'line' or flags_obj.model == 'randomwalk':
source = euler_ops.sample_node(
count=batch_size, node_type=flags_obj.all_node_type)
else:
source = euler_ops.sample_node(
count=batch_size, node_type=flags_obj.train_node_type)
source.set_shape([batch_size])
# dataset = tf.data.TextLineDataset(flags_obj.id_file)
# dataset = dataset.map(
# lambda id_str: tf.string_to_number(id_str, out_type=tf.int64))
# dataset = dataset.shuffle(buffer_size=20000)
# dataset = dataset.batch(batch_size)
# dataset = dataset.repeat(flags_obj.num_epochs)
# source = dataset.make_one_shot_iterator().get_next()
_, loss, metric_name, metric = model(source)

from euler.

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