CPU version of Tensorflow training is very slow with PlotLossesCallback about livelossplot HOT 3 CLOSED

@Kuselokusi Could you compare training time with and without livelossplot?

In a notebook, use %%time.

from livelossplot.

Sorry I just figured out what the issue is and it is related to training time but more to the use of the livelossplot library.

More specifically, after each epoch a plot of the accuracies and losses on (validation and training sets) are displayed. But the issue is that after each epoch, the plot is displayed and I have to manually close it so that the training process continues. Then at the end of the next epoch the updated plots are displayed and I have to do it all over again.

Note that I am running my code using a batch file (that uses the command line), not in spyder or something similar. Please assist.

from livelossplot.

I close this issue as non-conclusive (you didn't answer my question).

Here we deal with livelossplot, NOT issues related to deep learning frameworks.

...

From your last question, it seems that you run in NOT in Jupyter Notebook. For the command line, only Neptune interface is supported (see README).

from livelossplot.