Tensorflow:.ckpt 文件和 .ckpt.meta 和 .ckpt.index 和 .pb 文件的关系是什么 [英] Tensorflow : What is the relationship between .ckpt file and .ckpt.meta and .ckpt.index , and .pb file

问题描述

我使用saver=tf.train.Saver()来保存我训练的模型，我得到了三种文件，命名为:

I used saver=tf.train.Saver() to save the model that I trained, and I get three kinds of files named:

• .ckpt.meta
• .ckpt.index
• .ckpt.data

还有一个名为:

• 检查站

与.ckpt 文件有什么联系?

我看到有人保存的模型只有 .ckpt 文件，我不知道如何制作.如何将模型保存为 .pb 文件?

I saw someone saved model with only .ckpt file, I don't know how to make it. How can I save model as a .pb file?

推荐答案

• .ckpt 文件是 saver.save(sess) 的旧版本输出，相当于你的 .ckpt-data(见下文)

  • the .ckpt file is the old version output of saver.save(sess), which is the equivalent of your .ckpt-data (see below)

    checkpoint"文件只是为了告诉一些TF函数哪个是最新的checkpoint文件.

    the "checkpoint" file is only here to tell some TF functions which is the latest checkpoint file.

    .ckpt-meta 包含元图，即计算图的结构，没有变量的值(基本上是你可以在张量板/图中看到的).

    .ckpt-meta contains the metagraph, i.e. the structure of your computation graph, without the values of the variables (basically what you can see in tensorboard/graph).

    .ckpt-data 包含所有变量的值，没有结构.要在 python 中恢复模型，您通常会使用元文件和数据文件(但您也可以使用 .pb 文件):

    .ckpt-data contains the values for all the variables, without the structure. To restore a model in python, you'll usually use the meta and data files with (but you can also use the .pb file):

    saver = tf.train.import_meta_graph(path_to_ckpt_meta)
    saver.restore(sess, path_to_ckpt_data)
    

  • 我不确切知道 .ckpt-index，我猜它是内部需要的某种索引来正确映射前两个文件.无论如何它通常不是真的需要，您可以仅使用.ckpt-meta和.ckpt-data来恢复模型.

  • I don't know exactly for .ckpt-index, I guess it's some kind of index needed internally to map the two previous files correctly. Anyway it's not really necessary usually, you can restore a model with only .ckpt-meta and .ckpt-data.

    .pb 文件可以保存您的整个图形(元 + 数据).要在 C++ 中加载和使用(但不训练)图形，您通常会使用它，使用 freeze_graph，它根据元数据和数据创建 .pb 文件.请注意，(至少在以前的 TF 版本和某些人中)freeze_graph 提供的 py 函数无法正常工作，因此您必须使用脚本版本.Tensorflow 还提供了一个 tf.train.Saver.to_proto() 方法，但我不知道它到底是做什么的.

    the .pb file can save your whole graph (meta + data). To load and use (but not train) a graph in c++ you'll usually use it, created with freeze_graph, which creates the .pb file from the meta and data. Be careful, (at least in previous TF versions and for some people) the py function provided by freeze_graph did not work properly, so you'd have to use the script version. Tensorflow also provides a tf.train.Saver.to_proto() method, but I don't know what it does exactly.

    这里有很多关于如何保存和恢复图表的问题.例如，请参阅此处的答案，但请注意，所引用的两个教程虽然确实很有帮助，但远非完美，并且很多人似乎仍然难以在 C++ 中导入模型.

    There are a lot of questions here about how to save and restore a graph. See the answer here for instance, but be careful that the two cited tutorials, though really helpful, are far from perfect, and a lot of people still seem to struggle to import a model in c++.

    编辑:它看起来像你现在也可以在 c++ 中使用 .ckpt 文件， 所以我猜你不一定需要 .不再需要 pb 文件了.

    EDIT: it looks like you can also use the .ckpt files in c++ now, so I guess you don't necessarily need the .pb file any more.

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