Yes, as listed in the snippet. The torch library is torchvision.

Thank. Gonna try that out. But i hit another snag. Strangely, the Agent is not creating the right venv. This is what the Agent created.
` pip:

• asn1crypto==0.24.0
• attrs==20.3.0
• certifi==2020.12.5
• chardet==4.0.0
• cryptography==2.1.4
• Cython==0.29.22
• furl==2.1.0
• future==0.18.2
• humanfriendly==9.1
• idna==2.6
• importlib-metadata==3.7.0
• jsonschema==3.2.0
• keyring==10.6.0
• keyrings.alt==3.0
• orderedmultidict==1.0.1
• pathlib2==2.3.5
• psutil==5.8.0
• pycrypto==2.6.1
• pygobject...

Sorry i don't quite understand this. The task itself was submitted as I run the code on the client. I suppose the dependancies requirements would be copied over as the experiment is cloned?

Hi SuccessfulKoala55 , can i confirm the following comments in the docker-compose.yml ?
And after that to run docker-compose commands without loss of data?

docker-compose down docker-compose up
docker-compose.yml
`
version: "3.6"
services:

apiserver:
command:
- apiserver
container_name: clearml-apiserver
image: allegroai/clearml:latest
restart: unless-stopped
volumes:
- /opt/clearml/logs:/var/log/clearml
- /opt/clearml/config:/opt/clearml/config
#...

thanks, let me try that.

Hi SuccessfulKoala55 ,i managed to install clearml-agent==1.0.1rc5. However, the same issues occur.

Hi, is this currently not working? http://app.community.clear.ml ? I noticed that cleaml UI will cache on the browser and if the backend is not running, its not clear to user that something is wrong (except for broken pages).

Any advice on this?

Likely network. Can you run a curl on ClearML server api server from jenkin stage and see if that gets through?

Thanks SuccessfulKoala55 . Just pm'ed him.

I also see this on my logs, noting that the config is read in but its still printing the supposedly hidden keys on the logs and UI.
agent.hide_docker_command_env_vars.enabled = true agent.hide_docker_command_env_vars.extra_keys.0='TRAINS_AGENT_GIT_USER' ..... docker_cmd=harbor.ai/public/detectron2:v3 --env TRAINS_AGENT_GIT_USER=gituser

And any roadmap on this? The organisation's on ssh auth is firm. This can end up not possible to use ClearML for remote execution.

Thanks AgitatedDove14 , will take a look.

yah i got that too. This happens when i run the client code on the same machine as the clearml-agent. So i'm wondering if sharing the same clearml.conf cause that problem. Is there a way to specify the clearml.conf instead of defaulting to ~/clearml.conf?

Ok, that seems clearer, thanks.

thanks.

Ok sure. Thanks.

Alright, fingers crossed.

Hi, it looks like the entire http://clear.ml domain is offline for more than 12 hours. Main pages and documentation are inaccessible as well.

Its 1.0.0. As printed on the top of the logs in ClearML Server UI.

For example, it would useful to integrate https://github.com/whylabs/whylogs#features into ClearML as part of data and model monitoring. WhyLogs would have their own static page that would preferably be displayed as a new custom tab (besides logs, scalars and plots.).

My assumption is that the agent will have pulled that off the client's clearml.conf.

Ok thanks, that worked.

Ok let me try that.

Yes for both clearml and clearml-agent

running git diff on my terminal in this repo gave nothing. nothing at all.

Any idea where i can find the relevant API calls for this?

Yes I am.

Transform feature engineering and data processing code into recurring data ingestion workflows. Start building data stores, develop, automate, and schedule complex data processing jobs.

Hi AgitatedDove14 , i changed everything to cuda 10.1 and tried again with the same rrror. the section as follows. I made sure torch==1.6.0+cu101 and torchvision==0.8.2+cu101 are in the pypi repo. But the same error still came up.
` # Python 3.6.9 (default, Oct 8 2020, 12:12:24) [GCC 8.4.0]
boto3 == 1.14.56
clearml == 0.17.4
numpy == 1.19.1
torch == 1.6.0
torchvision == 0.7.0

Detailed import analysis

**************************

IMPORT PACKAGE boto3

clearml.storage: 0

IMPORT PACKAG...