@<1529271085315395584:profile|AmusedCat74> , what happens if you try to run it with clearml
1.8.0?
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?
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
Has there been any update on this? Not sure to see something related in the latest release notes
Could you give me some insight into why this is please?
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:
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