yap, that should do the trick

Hi JitteryCoyote63 ,

Sure you can, you have many https://allegro.ai/docs/use_cases/trains_agent_use_case_examples/ , just pick to one you need 🙂

Hi UnsightlySeagull42 ,

The clearml-agent use the credentials from your ~/clearml.conf file, if you changed those, you will need to re-run the clearml-agent.
Can you verify that your clearml-agent is running with the credentials of your https://app.community.clear.ml/dashboard ? if so, can you re-run it with config-file option?

clearml-agent --config-file <path to your clearml.conf file> daemon …

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Can you upgrade from trains to ClearML ?

pip install clearml for installing it, and from your code change
from trains import task to from clearml import task

If this is the case (you have results and you want a new task to connect to each result), you can just clone the base task, update task parameters and enqueue it for execution (similar to https://github.com/allegroai/trains/blob/master/examples/automation/manual_random_param_search_example.py example), can this do the trick?

Hi WackyRabbit7

You can get all the agents PIDs by
ps -ef | grep "trains-agent"and kill -9 <pid> for the requested agent.

You can also pkill -f "trains-agent --gpus 0"   - This will kill a process that started trains-agent --gpus 0 .
Notice it matches the cmd pattern so it has to match the way you executed the trains-agent. This can be checked with  ps -Af | grep trains-agent

Hi ReassuredTiger98 ,

try:
` from clearml.config import running_remotely

if running_remotely():
... `

Hi ReassuredTiger98 ,

For Model you can try:

` from clearml import Task

local_model = Model(<YOUR MODEL ID>).get_local_copy() `

Hi CheekyToad28 ,

None of the options https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server#deployment works for you?

if you are using add_function_step you can pass packages=["protobuf<=3.20.1"]
(there is an example in the sdk docs https://clear.ml/docs/latest/docs/references/sdk/automation_controller_pipelinecontroller#add_function_step-1 )

Thanks GiganticTurtle0 , I was able to reproduce it, a fix will be out shortly, will keep you update about it in this thread

GiganticTurtle0 can you try with 1.1.4rc0 version? pip install clearml==1.1.4rc0

Hi GiganticTurtle0 ,

Can you send a small example how can I reproduce this issue?

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If you want to get the pipeline task from a pipeline step, try Task.current_task().parent

Hi GiganticTurtle0 ,

You have all the tasks that are part of the pipeline in an execution table (with links) under plots section, does it helps?

When connecting a nested dict the keys will be in the struct of period/end and period/start , so those are the keys you need to change, in additional to the section name, General if name not given.

This should work for example in your example:

` cloned_task = Task.clone(source_task=template_task,
name=template_task.name+' for params', parent=template_task.id)

put back into the new cloned task

cloned_task.set_parameters({"General/period/start": "...

Hi GiganticTurtle0 ,

Does it happen when you change the parameters from the UI too? or only from code? same flow as in https://github.com/allegroai/clearml/blob/master/examples/automation/manual_random_param_search_example.py#L47 ?

can you try those? Do you have an example for the cloning code?

Hi GracefulDeer63 ,

What trains and trains-server versions are you using?

I hope you understand what I mean

yes 🙂

let me check that

HI JitteryCoyote63 , so just the print is double?

exactly

Hi ShinyLobster84 , where do you usually install XXXXX package from? or some artifactory?

can you attach the full log of the instance? Did the aws scalar output any logs?

Hi JitteryCoyote63 , which ec2 type and AMI are you using?

The running task in the UI for it

agree

E: Could not get lock /var/lib/apt/lists/lock - open (11: Resource temporarily unavailable)Another process is using the lock, can you specify the ami (and region) so I can try to reproduce it?

How did you add it? Just edited the configuration part of the task or with the wizard?