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

问题描述

在张量板上，我想在同一张图上叠加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，但是看不到有2条叠加曲线的图.否则，我会在锯齿形中得到一个积.

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，以使其在两个文件夹中输出.

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

用相同的名称创建两个摘要(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的图:

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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