Hi, i changed it, but it still point to https://files.pythonhosted.org/packages .

Do you mean by this that you want to be able to seamlessly deploy models that were tracked using ClearML experiment manager with ClearML serving?

Ideally that's best. Imagine that i used Spacy (Among other frameworks) and i just need to add the one or two lines of clearml codes in my python scripts and i get to track the experiments. Then when it comes to deployment, i don't have to worry about Spacy having a model format that Triton doesn't recognise.

Do you want clearml serving ...

Hi, i have the same question. Why would this be ignored if called remotely?
https://clear.ml/docs/latest/docs/references/sdk/task/#set_base_docker

Yeah that sounds good. But from user perspective, especially the untrained, they wouldn't know what to point to. Example, some may think it's an exe, some think it's a zip bundle, and others think it's any github repo with the word vscode.

Hi. If we disable the API service, how will it affect the system? How do we disable?

Yes! I definitely think this is important, and hopefully we will see something there 

 (or at least in the docs)

Hi AgitatedDove14 , any updates in the docs to demonstrate this yet?

Hi AgitatedDove14 , what version i should change it to? I'm currently on v0.17.2rc3.

Hi ResponsiveHedgehong88 , I was trying to do the same thing but the loggerhook doesn't seem to work. The console log and scalar logs didn't come out when I registered via init.py and load via log_config. Are you able to share how you configure it?

yup. in this case it wasn't root. Removing that USER and -u in pip solves the problem. However, in our production images, we are required to remove root access.
` FROM nvidia/cuda:10.1-cudnn7-devel

ENV DEBIAN_FRONTEND noninteractive
RUN apt-get update && apt-get install -y
python3-opencv ca-certificates python3-dev git wget sudo ninja-build
RUN ln -sv /usr/bin/python3 /usr/bin/python

create a non-root user

ARG USER_ID=1000
RUN useradd -m --no-log-init --system --uid ${USER_ID} a...

Yup that works. Thanks.

so the clearml-agent daemon needs higher privilege?

Is there anyway to see an error log from that?

Hi, i dont't think clearml agent actually ran at that point in time. All i can see in the pod is
apt install of libpthread-stubs, libx11, libxau and libxcb1 packages. pip install of clearml-agentAfter the above are successful, the pod just hang there.

Hi SuccessfulKoala55 , would they need the fileserver to route to minio then? E.g.

This will ensure that any actions by clearml-data and models are saved into the S3 object store.
api {
files_server: s3://ecs.ai:80/clearml-data/default
}

aws {
s3 {
credentials {
host: http://ecs.ai:80
## Insert the iam credentials provided by your SAs here.
}
}
}

But if user forgot to do above, they will be saved on ClearML server. If I switch off f...

Hi,
It did, nvidia/cuda:10.1-runtime-ubuntu18.04.

So if i need to set this every time, what is the following config for? And how do i pass in new env parameters?
` default_docker: {
# default docker image to use when running in docker mode
image: "dockerrepo/mydocker:custom"

    # optional arguments to pass to docker image
    # arguments: ["--ipc=host", ]
    arguments: ["--env GIT_SSL_NO_VERIFY=true",]
} `

I have since ruled out the apt and pypi repos. Both of them are installing properly on the pods.

Hi SuccessfulKoala55 I was refering to the Task.init() or any other SDK API that we use in our training codes.

does the bash script need clearml-agent to be able to communicate to the https clearml-server first? If yes, there's a chicken/egg problem here.

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

[root@2c7498711bef elasticsearch]# curl -XGET `
yellow open events-training_stats_scalar-d1bd92a3b039400cbafc60a7a5b1e52b 4hAFNtGkRr-CHNGnUYfbTA 1 1 4724 271 660.9kb 660.9kb
yellow open events-log-d1bd92a3b039400cbafc60a7a5b1e52b M3qgFy1HRU2PibDOr1YOdw 1 1 1221 20 1013.6kb 1013.6kb
red open worker_stats_d1bd92a3b039400cbafc60a7a5b1e52b_2021-05 EQK8mnlhRxCrrKK3clcUFA 1 1
red open queue_metrics_d1bd92a3b039400cbafc60a7a5b1e52b_...

I can't seem to find the fix to this. Ended up using an image that comes with torch installed.

Thanks. Have a better understanding now.

Thanks. That's easy to miss as its not quite apparent in the main docs. How should i pass in env variables with Task?

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?

Some breakthrough. The problem is because we switched the web, api and files server to use https (ssl) endpoint instead. I had switched back to http end points to test this theory.

Although its not printing the error, i suspect its not able to connect due to lack of the self signed cert. Previously this wasn't an issue, not sure what changed in clearml_agent=1.1.0.

There's a secondary issue resulting, i will put this on a new thread.

ok. Any idea what can go on between the setting up of clearml-agent and initialising the clearml-agent itself? Does the clearml-agent try to communicate with any internet address. From another perspective, it looks like a long time out issue. I happen to be deploying on a disconnected on-premise setup.

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, the problem is the same.

I noticed that its not checking out the latest version in gitlab. This latest version would contain the requirements.txt.
Using cached repository in "/root/.clearml/vcs-cache/pytorchmnist.f220373e7227ec760b28c7f4cd99b534/pytorchmnist" warning: redirecting to Note: checking out 'cfb833bcc70f3e10d3b6a96cfad3225ed682382b'.But i'm guessing this block below applied the diff..does it include the requirements.txt though?
` HEAD is now at cfb833b Upload New Fil...