thanks!

https://github.com/allegroai/clearml/pull/303

sure 🙂

sure

I did, but I still have the same issue..

tglema@mvd0000xlrndtl2 clearml-src

git:(28b8502) ✗

git status
HEAD detached at 0.17.5rc3

I did a python setup.py develop, and ran the script:
` from clearml import Dataset

dataset = Dataset.create(dataset_project='test', dataset_name='example')
dataset.add_files('/home/tglema/example.jpeg')
dataset.add_files('/home/tglema/logo.png')
print(dataset.list_files())
dataset.upload()
dataset.finalize()

dataset_new = Dataset.create...

great, thanks!

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

and in the plots section:

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.

so how do I make a PR? 😅
I don't have write access..

no, only in the clearml.conf file
Now I removed the output_uri in the conf file of the machine that started the task, and when I run it as agent in GCP it works.
Is this a bug?

if I put ~/clearml in the default_output_uri key, and start the task, when run as agent in GCP I get clearml.Task - INFO - Completed model upload to file:///$github_proj_directory/~/clearml/$proj_name/$experiment_name

can this be solved by using a docker image with the preinstalled packages at a user level?

so in my main file I have:

from my_package import dummy_module

dummy_module.func(args)

sure, but I don't know if this doesn't break something else

thanks! that was the script I used..but for same reason making two sbs was a bit more complicated than just stacking two..
but I was finally able to do it:

since it didn't change (the packages installed)

if I write:
in tl2 conf : default_ output_uri : "/home/tglema/clearml"
in GCP it saves in that same dir

even though I have set the default_output_uri in GCPs conf file

great, let me know if I can help you in any way. Thanks!

Did you put anything inside 

init.py

?

nope

did you do a git init?

it's my first PR to an opensource project 😁

but I like f-strings better

so I need to run a sed command to replace some lines in one of the tensorflow files..do you know if I can do this as part of the setup.py install?

I don't see anything in the CONFIGURATION section:

sounds like you need to run a service to monitor for new commits in PROJ_1, to trigger the pipeline

this is the one in tl2

is that clearer?

https://github.com/GoogleCloudPlatform/python-docs-samples/blob/master/compute/api/create_instance.py I think this is a nice place to start