如何手动创建 tf.Summary() [英] How to manually create a tf.Summary()

问题描述

我经常想记录 python 变量——而不是 tf 张量.

I often want to log python variables --as opposed to tf tensors.

在文档中它说你可以传递一个 tf.Summary 协议缓冲区，用你自己的数据填充"但没有 tf.Summary 的文档我不知道如何使用它.

In the docs it says that "you can pass a tf.Summary protocol buffer that you populate with your own data" but there is no docs for tf.Summary and i could not figure out how to use it.

有人知道如何以这种方式创建标量摘要吗?

Anyone knows how to create a Scalar summary this way?

推荐答案

你可以在你的 Python 程序中创建一个 tf.Summary 对象并将其写入同一个 tf.summary.FileWriter 对象，它使用 tf.summary.FileWriter 对象获取 TensorFlow 生成的摘要一个 href="https://www.tensorflow.org/api_docs/python/tf/summary/FileWriter#add_summary" rel="noreferrer">SummaryWriter.add_summary() 方法.

You can create a tf.Summary object in your Python program and write it to the same tf.summary.FileWriter object that takes your TensorFlow-produced summaries using the SummaryWriter.add_summary() method.

tf.Summary 类是一个 Python 协议缓冲区包装器，用于总结协议缓冲区.每个 Summary 都包含一个 tf.Summary.Value 协议缓冲区，每个都有一个标签和一个简单"(浮点标量)值，一个 图像，直方图，或音频片段.例如，您可以从 Python 对象生成一个标量摘要，如下所示:

The tf.Summary class is a Python protocol buffer wrapper for the Summary protocol buffer. Each Summary contains a list of tf.Summary.Value protocol buffers, which each have a tag and a either a "simple" (floating-point scalar) value, an image, a histogram, or an audio snippet. For example, you can generate a scalar summary from a Python object as follows:

writer = tf.train.SummaryWriter(...)
value = 37.0
summary = tf.Summary(value=[
    tf.Summary.Value(tag="summary_tag", simple_value=value), 
])
writer.add_summary(summary)

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