I've never created an image before..is it normal to take this long? 15 minutes?

thanks!

now I have:
in tl2: default_ output_uri : "~/clearml"
in GCP: default_ output_uri : "gs://..."

I don't think so..I had a problem before 0.17.5

in this example my main func is going to be the scripts that creates the pipeline controller

so if it lasts executes python setup.py install, I can do stuff like add a line to a file in my venv inside the setup script

no, my_package is never added manually

if I launch the same script in GCP, (I don't run it as a clearml-agent), then everything works fine

and in the script I removed the output_uri= , in the task initialization

even though I have set the default_output_uri in GCPs conf file

I see, thanks!

I added folder with images, and then the pickle file with the descriptions: dataset.add_files('pickle_file.pkl')

this is the one in GCP

should this have worked?

oh it uses tf 1.15 😕

same output

example

so in my main file I have:

from my_package import dummy_module

dummy_module.func(args)

I think so

sure

ah great! I'll try that then

but I don't see any change...where is the link to the file removed from?
How are these two datasets different?
Thanks 🙂

File "aicalibration/generate_tfrecord_pipeline.py", line 30, in <module>
  task.upload_artifact('train_tfrecord', artifact_object=fn_train)
 File "/home/usr_341317_ulta_com/.clearml/venvs-builds/3.7/lib/python3.7/site-packages/clearml/task.py", line 1484, in upload_artifact
  auto_pickle=auto_pickle, preview=preview, wait_on_upload=wait_on_upload)
 File "/home/usr_341317_ulta_com/.clearml/venvs-builds/3.7/lib/python3.7/site-packages/clearml/binding/artifacts.py", line 560, in upload_artifa...

are you planning on changing to f-strings incrementally?

where can I find more info about why it failed?

@ https://app.slack.com/team/U01J3C692M8 where you able to come up with a solution?

I didn't know about that one! I'll try it, thanks!!

It's kind of a pain to setup Tensorflow Object Detection API

not according to the logs:

info ClearML Monitor: Reporting detected, reverting back to iteration based reporting

so does the container install anything, or just runs the script? how is the setup done there?