在 Tensorflow 中如何冻结保存的模型 [英] In Tensorflow how to freeze saved model

问题描述

这可能是一个非常基本的问题...

但是如何将检查点文件转换为单个 .pb 文件.我的目标是使用 C++ 为模型提供服务

这些是我要转换的文件.

附带说明，我将 tflearn 与 tensorflow 一起使用.

编辑 1:我找到了一篇解释如何做到这一点的文章:

我得到的错误来自回归层，如果我使用:sgd.我会得到

KeyError:名称‘SGD’指的是不在图中的操作."

解决方案

https://blog.metaflow.fr/tensorflow-how-to-freeze-a-model-and-serve-it-with-a-python-api-d4f3596b3adc 工作正常.

问题是我使用 tensorflow 而不是使用 tflearn 加载模型.

所以...而不是:

tf.train.import_meta_graph(...)

我们这样做:

model.load(...)

TFLearn 知道如何正确解析图.

This is probably a very basic question...

But how do I convert checkpoint files into a single .pb file. My goal is to serve the model using probably C++

These are the files that I'm trying to convert.

As a side note I'm using tflearn with tensorflow.

Edit 1: I found an article that explains how to do this: https://blog.metaflow.fr/tensorflow-how-to-freeze-a-model-and-serve-it-with-a-python-api-d4f3596b3adc

The problem is that I'm stuck with the following error

KeyError: "The name 'Adam' refers to an Operation not in the graph."

How do I fix this?

Edit 2: Maybe this will shed some light on the problem.

The error that I get comes from the regression layer, if I use: sgd. I'll get

KeyError: "The name 'SGD' refers to an Operation not in the graph."

解决方案

The tutorial on https://blog.metaflow.fr/tensorflow-how-to-freeze-a-model-and-serve-it-with-a-python-api-d4f3596b3adc works just fine.

The problem was that I was loading the model using tensorflow instead of using tflearn.

So... instead of:

tf.train.import_meta_graph(...)

We do:

model.load(...)

TFLearn knows how to parse the graph properly.

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