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

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

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

Yep, that seems to be working fine.

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

Might be a bug. Let me check with the guys

Thank you 👍

Can you share a snippet just to reproduce this?

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

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

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