Tensorboard- 叠加 2 个图 [英] Tensorboard- superimpose 2 plots

问题描述

在张量板中，我想在同一个图上叠加 2 个图(神经网络的训练和验证损失).

In tensorboard, I would like to superimpose 2 plots on the same graph (training and validation losses of a neural network).

我可以看到 2 个单独的图，但看不到一个具有 2 条叠加曲线的图.否则，我会得到一个锯齿状的地块.

I can see 2 separate plots, but not one plot with 2 superimposed curves. Otherwise, I get one plot in zigzag.

我该怎么办?

推荐答案

可以在 Tensorboard 中叠加两个图.您必须同时满足以下两个条件:

It is possible to superimpose two plots in Tensorboard. You'll have to satisfy both of the following:

1. 创建两个单独的 tf.train.SummaryWriter 对象，使其输出到两个文件夹中.

1. Create two separate tf.train.SummaryWriter objects such that it outputs in two folders.

创建两个具有相同名称的摘要(例如 tf.scalar_summary).

Create two summaries (e.g. tf.scalar_summary) with the same name.

例如绘制训练和验证损失:

For example to plot training and validation loss:

# Before training
train_summary = tf.scalar_summary('Loss', train_loss)
vali_summary = tf.scalar_summary('Loss', vali_loss)
train_writer = tf.train.SummaryWriter('/tmp/train'), sess.graph)
vali_writer = tf.train.SummaryWriter('/tmp/vali'), sess.graph)

# And then later
train_writer.add_summary(...)
vali_writer.add_summary(...)

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