just this one...it marks as completed when executed locally

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

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

is this ok?

if I have 2.4 or 2.2 in both there is no issue

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

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

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

Hi! I was going to ask about this, but I didn't understand the solution...currently logs are >100MB because of this..is there a way to save the line only once the epoch is done? AgitatedDove14

How would you like me to share it?
So far I have this:
tensorflow_object_detection_autoinstall.sh
Before running:
You need to set your venv
install numpy
export TF_DIR=$HOME/tensorflow mkdir $TF_DIR cd $TF_DIR echopwdwget unzip protoc-3.14.0-linux-x86_64.zip -d protoc export PATH=$PATH:pwd`/protoc/bin

git clone
cd models
git checkout 8a06433
cd $TF_DIR/models/research
protoc object_detection/protos/*.proto --python_out=.

git clone
cd cocoapi/PythonAPI
make
cp -r py...

so, the thing is that to install the object_detection package you need to manually run some commands, copy a setup.py file, etc. There is no git repo that does that for you...is that more clear?

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

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?

this creates the whl package that I then use in my requirements.txt file directly

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

I see, thanks!

Hi! I'm tryin to find a workaround for this: can't do pip install <name_of_package>
I executed the task, and it created a cache venv.
But when running the code, it couldn't import the package because it wasn't listed.
I then sourced the venv, and manually installed the package
so if I do python -c 'import object_detection' if works

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

should this have worked?

oh it uses tf 1.15 😕

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

it worked! thanks AgitatedDove14 !!

yes, that would work, except that I need to modify tensorflow as well..I'm currently working on creating a wheel for modified tf..but it's taking a while...

btw, do you see these messages AgitatedDove14 when they are inside an old thread? or should I start a new message?

ah great! I'll try that then

and can the agent when running locally with no base docker, inherit as well system wide packages?

but then I run again the task, it uses the same cache venv, but fails to find object_detection

great 🙂

so I have a couple of questions regarding setup.py.
If I add the requirement '.' as the last entry, does that mean that it will install my package lastly? Can I do in setup.py the modifications to the tensorflow code?I need to see how I can change the tensoflow code after it was installed and prevent other tensorflow installation to overwrite it..is it clear?

where can I find more info about why it failed?