Has there been any update on this? Not sure to see something related in the latest release notes

I am using ClearML version 1.9.1. In code, I am creating a plot using matplotlib. I am able to see this in Tensorboard but it is not available in ClearML Plots

Hi @<1529271085315395584:profile|AmusedCat74> , what are you trying to do in code? What version of clearml are you using?

Yep, that seems to be working fine.

Thank you 👍

Could you give me some insight into why this is please?

The code is quite nested by I've tried to extract out the important parts ( summmary_writer is a tensorboard logger).

self.figure, (ax1, ax2, axc) = plt.subplots(1, 3, figsize=(total_width, total_height), facecolor="white")

self.summary_writer = self.tb_logger.experiment

self.summary_writer.add_figure(Partition.TRAINING.value, train_plot.figure, global_step=self.current_epoch + 1) 

The train_plot.figure is a matplotlib figure created using seaborn.

Let me know if this isn't useful and you'd like me to create a proper example.

I am using

tensorboard==2.11.2
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1

Can you share a snippet just to reproduce this?

@<1529271085315395584:profile|AmusedCat74> , what happens if you try to run it with clearml 1.8.0?

Might be a bug. Let me check with the guys

Further to this, I have inspected further. This is working as expected for ClearML 1.8.3 but not for ClearML 1.9.0.

I looked at the commits and found that a change had been made to the _decode_image method:

None

This aligns with the error message I'm seeing:

2023-02-08 15:17:25,539 - clearml - WARNING - Error: I/O operation on closed file.

Can this be actioned for the next release please?
Or is it suitable for me to raise my own PR?

Cheers,
James