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

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

Ok, here it is 🙂 https://github.com/allegroai/clearml/issues/298

it worked! thanks AgitatedDove14 !!

great 🙂

only these

Hi AgitatedDove14 ! Were you able to reproduce this?

Hi AgitatedDove14 , can you please give me some directions on how to follow this?

it's my first PR to an opensource project 😁

ah, I see..so I do it in master or in 0.17.5rc3?

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?

awesome! will you do the PR or should I?

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

whereas this is what is being logged in your toy example: tf.Tensor(1742.0144, shape=(), dtype=float32)

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...

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

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

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

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?

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

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...

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

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

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

ah great! I'll try that then

oh it uses tf 1.15 😕

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