I want to know the total fields(string reference mentioned above) which can be used as input of step2. Are these fields of ClearML Task?

No, this is the first user in the brain company.

Thanks a lot! I’ ll replace credentials with new user in assigned to a new company ID to call users.get_all again.

Hi  AgitatedDove14 ,I try it with Clearml 1.1.4, but it fails again.

AgitatedDove14 , I will try it with latest version. But why the url in es is different from it in web UI? I have checked the codes that evnets.debug_images api which will return url to web UI will get the url from es.

code commit

I meet the same problem.
I curl elastic and get the following result(picture 1).
I check the response of debug images from web UI, and I get the picture2.

version

I deploy clearml in 1.1.1 with helm, and use 1.0.4 clearml package.

Hi, TimelyPenguin76 , could you help me?

SuccessfulKoala55 I know it. Here is an example. I have a queue named q1 and two groups, which are used to manage the quota of our platform. In this situation, all tasks which may belong to group1 or group2 will be enqueued into the q1. And ClearML Agent K8S glue will watch the q1 and pull tasks from it. However, K8S does not know the group which this task uses except this information can be get from task. I can solve this problem by creating queues for every group. But there are too many g...

How can I ensure that whether this email has existed in the server?

Check mongo?

How can I fresh DB? Mongo or Redis?

Hi TimelyPenguin76 , thanks for you reply. I still confuse about ClearML’s orchestration. Could you describe it in detail?

I have a similar question. I want to extend the authorization of clearml, but I have no idea about it according to docs. By the way, is it possible to implement the custom authorization based on the basic authz api in clearml? Or does clearml support it?

ok, I check it now

For example, I have a lot of tasks in a queue, but there is a default agent(services, mode = daemon) after using helm to deploy the ClearML in Kubernetes. As far as I know, agent will pull and execute the task in specified queue one by one, which results in other tasks are blocked. However, the physical resource is enough in cluster. So how can ClearML to improve the efficiency of execution? I can solve it by implementing a custom scheduler which is used to watch the queue, pull the task and...

And no real scheduling in README exactly means that ClearML will not do scheduling for task which may provided in paid tier? In other words, Kubernetes will schedule the Pod for me. Is it right?

Since k8s has no real priority/order the scheduling order is not guaranteed form this point.

K8s can schedule pod with different priorities. So maybe no real scheduling means there is no ClearML scheduling after applying pod to k8s.

only if it is sure there are enough resources to actually spin the job now

In 1.0.2 version, I do not find any logic about checking k8s resource in k8s.py. Does it will implement in the future?

README introduces that no real scheduling when using Kubernetes. But I think no matter launch a Pod or Job that the Pod will be scheduled through k8s scheduler exception specifying the nodeName in Pod specification. This confuses me a lot. What is the meaning of no real scheduling I don’t understand no verification of docker image

What is meaning of ‘the scheduling is done before that’? Does it mean the ClearML will schedule the task for me?