didn't get it, do you get the model in the task with local path?
Hi HelpfulHare30 ,
- Is dataset a separate object that can be used within different project or it is a project part?
You can use the dataset in every project you like. Dataset task is part of a specific project, but it can be shared between projects.dataset_folder = Dataset.get(dataset_id="dataset_id").get_local_copy()
- Can I find a dataset created with cli in Web UI?
Yes. it should create a Data processing
task.
- Can I configure clearml to store datasets by...
Hi GiddyTurkey39 , it should be released next week, I will update you on this thread once out 🙂
SteepDeer88 which clearml
version are you using?
Hi GrievingTurkey78 ,
Can you try running https://github.com/allegroai/clearml/blob/master/examples/frameworks/keras/keras_tensorboard.py example? do you get metrics with it?
Hi SmarmySeaurchin8
I tried to reproduce your issue (run https://github.com/allegroai/trains/blob/master/examples/reporting/image_reporting.py example with many report_image
calls) and got all the outputs in the debug samples section, can you share a snippet or how can I reproduce this issue?
Can you try it?
👍
What if (I were able to iterate and) I wanted the pipelines calls to be blocking so that the next pipeline executes only after the previous one completes
You can have parents
as one of the @PipelineDecorator.component
args. The step will be executed only after all the parents
are executed and completed
SquareFish25 Still on it 🤞
or do you mean this by your note? i.e. leaving the execution parts empty.
yep 🙂
Currently, when ClearML detect a .git
file, it will store your running script as part of your git repo. The workaround to store the whole script as a standalone is just like you did (or to run it outside of the repo).
We currently don’t have such an option to store the script as a standalone, but this could be a useful feature.
Can you add a new https://github.com/allegroai/clearml/issues issue...
Hi TrickyFox41 , does you script contains hydra integration? do you import hydra? using some configuration file?
Hi GrittyKangaroo27
did you also closed the dataset?
Can you attach the commands with the order of all the datasets?
Hi SuperficialDolphin93 ,
Can you share a small code example for you reporting?
About many series in the same plot, you can change this view with Group by None
You can try running the trains-agent
with --gpus all
if you have two gpus on your machine.
The flag --gpus all
is used to assign all available gpus to the docker container.
Did you get the same error message? What do you have in the error under ‘device=XXX’?
What is the OS / docker / Nvidia drivers you have on the machine?
This seems to be the same issue like in https://clearml.slack.com/archives/CTK20V944/p1633599511350600
Whats the pyjwt
version you are using?
Currently the agent create venv when you start it, but system_site_packages
should install the packages from the docker
Will check now and will send you the machine image + full configuration I used
Machine image: projects/ubuntu-os-cloud/global/images/ubuntu-1804-bionic-v20220131
Extra vm bash script:sudo apt install apt-transport-https ca-certificates curl software-properties-common -y curl -fsSL
| sudo apt-key add - sudo add-apt-repository "deb [arch=amd64]
lsb_release -cs
test" sudo apt update sudo apt install docker-ce -y
permission management
Same as your aws credentials
can you try with
import os os.environ["CLEARML_CONFIG_FILE"] = "/root/clearml.conf"
at the top?