Tensorflow2.x does not refresh content when using Tensorboard

Problem Description

ubuntu16.04, tensorflow-gpu version is 2.1.0, I want to use tensorboard to record the loss update process, enter it in the terminal, tensorboard --logdir=logsget the URL http://ubuntu-acloud:xxx/ , click to enter, there is indeed a loss curve, but it has not been refreshed, only to re-enter the above command in the terminal, It is useful to get the URL and click in again, very speechless...

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solution

To be clear, tensorflow2.x comes with tensorboard when it is installed. When checking tensorflow-gpu2.1 in this system, it downloads tensorboard2.1.1 when it
is tensorboard --logdir=logsinstalled TensorBoard 1.14.0 at http://ubuntu-acloud:xxx/ (Press CTRL+C to quit)
. , it used tensorBoard 1.14.0
and took a closer look. I entered the command in the base environment tensorboard --logdir=logs. In this environment, tensorBoard is 1.14.0, but the running program uses another conda environment. Switch to the running program environment. Enter again tensorboard --logdir=logs, the loss is finally updated, and you're done!

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lesson

Since multiple conda environments are configured, be sure to pay attention to environment switching when entering commands in the terminal