问题描述
限时送ChatGPT账号..如何在 tensorflow 中指定 2 个连续检查点之间的间隔?tf.train.Saver
中没有选项来指定.每次,我使用不同数量的全局步骤运行模型时,我都会在检查点之间获得一个新的间隔
How can I specify the interval between 2 consecutive checkpoints in tensorflow? There are no options in tf.train.Saver
to specify that. Every time, I run the model with a different number of global steps, I get a new interval between checkpoints
推荐答案
tf.train.Saver
是一个用于编写检查点的被动"实用程序,它仅在其他代码调用其 .save()
方法.因此,写入检查点的速度取决于您用于训练模型的框架:
The tf.train.Saver
is a "passive" utility for writing checkpoints, and it only writes a checkpoint when some other code calls its .save()
method. Therefore, the rate at which checkpoints are written depends on what framework you are using to train your model:
如果您使用低级 TensorFlow API ( If you are using the low-level TensorFlow API ( 如果您使用
If you are using 这篇关于张量流中检查点之间的间隔的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!tf.Session
) 并编写自己的训练循环,则只需插入对 Saver.save()<的调用/code> 在您自己的代码中.一种常见的方法是根据迭代次数来执行此操作:
tf.Session
) and writing your own training loop, you can simply insert calls to Saver.save()
in your own code. A common approach is to do this based on the iteration count:
for i in range(NUM_ITERATIONS):
sess.run(train_op)
# ...
if i % 1000 == 0:
saver.save(sess, ...) # Write a checkpoint every 1000 steps.
tf.train.MonitoredTrainingSession
,它为你写了检查点,你可以在构造函数中指定一个检查点间隔(以秒为单位).默认情况下,它每 10 分钟保存一个检查点.要将其更改为每分钟,您可以执行以下操作:tf.train.MonitoredTrainingSession
, which writes checkpoints for you, you can specify a checkpoint interval (in seconds) in the constructor. By default it saves a checkpoint every 10 minutes. To change this to every minute, you would do:with tf.train.MonitoredTrainingSession(..., save_checkpoint_secs=60):
# ...
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