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109 × Eureka!sure, but I don't know if this doesn't break something else
I had to mask some parts 😁
Hi AgitatedDove14 , now I'm seeing under INSTALLED PACKAGES both "." and "my_package"..what could be the issue here?
no, to the current task
mmm..I'm having the same issue:
in my GCP agent:
base) root@gst-cv-glema3-final-tf2-cu101:~# clearml-agent daemon --queue redness
Current configuration (clearml_agent v0.17.1, location: /root/clearml.conf):
sdk.storage.cache.default_base_dir = ~/.clearml/cache
sdk.development.default_output_uri =
Hi! I was reading about datasets..I think this needs to be corrected..
I'll need to see how to extract only the part that we care about
but it still saves using the output_uri from the server that created the task
yes, that works..but wasn't the issue with logging tensors?
btw, I think this should be the output of report_confusion_matrix ...what do you think?
Hi AgitatedDove14 ! Were you able to reproduce this?
great, thanks! 🙂
it would be completed right after the upload
and is this image just a VM with a docker?
your example with absl package worked
I think so, but I'm not an expert here, I started using this a few weeks ago
take a look at the cleanup service for reference:
https://github.com/allegroai/clearml/blob/master/examples/services/cleanup/cleanup_service.py
<tf.Tensor 'Loss/RPNLoss/localization_loss:0' shape=() dtype=float32
This is what is being logged as scalar in the OD API
INHO, the remove_files('logo.png') shouldn't return 0..and I think the problem is that the file passed as argument is not correctly matched with the files stored in the dataset.
it does! thanks! I thought I had to modify the scripts, but now I see that it does it with the parameter_override
Python 3.7.3 (default, Dec 20 2019, 18:57:59) [GCC 8.3.0]
absl_py == 0.10.0
azure_storage_blob == 12.7.1
clearml == 0.17.4
google_cloud_storage == 1.35.0