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CostlyOstrich36
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0 Questions, 3690 Answers
  Active since 10 January 2023
  Last activity one year ago

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0 Hi, I'M Wondering If Clearml Did A Comparison Of Their Clearml Pipelines With Other Solutions Such As Apache Beam? Or If Clearml Supports Integration With Such Third Party Solutions?

Hi SubstantialElk6 ,

From a quick glance I don't see any abilities not covered. Is there some specific capability you're looking for?

2 years ago
one year ago
0 Hi, In My Code I Have Some Functions I Call From A Different Folder From My Original Project But Is In The Same Repository, When I Run The Following Code Locally:

Hi @<1523701295830011904:profile|CluelessFlamingo93> , when running remotely the agent assumes it will be a different machine. I think the best way to solve this is to add utils to your repository and import it from there during code execution.

What do you think?

one year ago
0 Hello Everyone What'S The Proper Way To Run Multiple Interactive Jupyter Sessions On One Machine/Agent? What I Am Doing Is Running Multiple Agents On The Same Machine, Each Agent Handling One Running Session To Avoid Subsequent Tasks Being In

Hi @<1670964701451784192:profile|SteepSquid49> , that sounds like the correct setup 🙂
What were you thinking of improving or do you have some pain points in your current setup?

9 months ago
0 Hi I’M Trying To Schedule The Tasks Execution Using

Hi @<1706116294329241600:profile|MinuteMouse44> , is there any worker listening to the queue?

2 months ago
0 Hey, How Can We Control The Pod Of Pipelinecontroller Not Use The Gpu? According To The Documentation, The

Hi @<1726047624538099712:profile|WorriedSwan6> , ideally the pipeline controller would be running on the services agent which is part of the server deployment and does not require GPU resources at all

3 months ago
0 Hi Clearml, I Tried To Upgrade The Clearml Server Following This

SarcasticSparrow10 , it seems you are right. At which point in the instructions are you getting errors from which step to which?

2 years ago
0 Two Questions Today. First, Is There Some Way To Calculate The Number Of Gpu-Hours Used For A Project? Could I Select All Experiments And Count Up The Number Of Gpu-Hours/Gpu-Weeks? I Realize I Could Do This Manually By Looking At The Gpu Utilization Grap

SmallDeer34 Hi 🙂
I don't think there is a way out of the box to see GPU hours per project, but it can be a pretty cool feature! Maybe open a github feature request for this.

Regarding on how to calculate this, I think an easier solution for you would be to sum up the runtime of all experiments in a certain project rather than looking by GPU utilization graphs

2 years ago
0 Hi, I'M Trying To Reduce My Team And My Api Calls When Training Models, We All Ready Added The Following Flags In Our Config File On Each Training Agent

Hi @<1523701295830011904:profile|CluelessFlamingo93> , I think you can also control the agent sampling rate (to sample queue every 10 or 20 seconds instead of 5 for example)

one year ago
0 Hello Everyone, Can You Help Me With An Issue I Faces Recently? Namely I'Ve Got This Message In Console While Training My Neural Net With Pytorch Lightning (+Clearml): "Traceback (Most Recent Call Last): File "/Home/Ubuntu/Anaconda3/Envs/Recsys-Kf/Lib/P

@<1554638160548335616:profile|AverageSealion33> , what if you just run a very simple piece of code that includes Task.init() ? One of the examples in the repository, does this issue reproduce?

one year ago
0 Hi Hi, I Have A Ui Question\Suggestion, Seeing The Total Number Of Workers Assigned Per Queue, Is It Possible? I Am Running Multiple Experiments And Managing Multiple Queues, I Am Trying To Get Some Overview Of The Status Of Each Queue. And I Am Interest

DepressedChimpanzee34 , Hi 🙂

Let's break this one down:
In the 'queues & workers' window if you switch to 'queues' you can actually see all the workers assigned to a specific queue In the workers window, you can see which workers are active and which are not. Is this enough or do you think something else is needed? You can see the resources used by each worker in the workers window. Is that what you mean? You can already do that! Simply drag and drop experiments in the queue window
I'm...

3 years ago
0 Hi Hi, I Have A Ui Question\Suggestion, Seeing The Total Number Of Workers Assigned Per Queue, Is It Possible? I Am Running Multiple Experiments And Managing Multiple Queues, I Am Trying To Get Some Overview Of The Status Of Each Queue. And I Am Interest

I see, so if you have 60 in queue and you select 30 you'd like to move them up the queue but so out of the selected 30 they would still keep their relative order, correct?

3 years ago
0 I Have A Question Regarding "Imitating" An Agent Pulling Some Task For Debugging Purposes I Am Trying To Do Something Like: Creating A Task On The Server

DepressedChimpanzee34 , how are you trying to get the remote config values? Also, what which configurations are we talking about specifically?

3 years ago
0 I Have A Question Regarding "Imitating" An Agent Pulling Some Task For Debugging Purposes I Am Trying To Do Something Like: Creating A Task On The Server

@Alex Finkelshtein, if the parameters you're using are like this:

parameters = { 'float': 2.2, 'string': 'my string', }
Then you can update the parameters as mentioned before:
parameters = { 'float': 2.2, 'string': 'my string', } parameters = task.connect(parameters) parameters['new_param'] = 'this is new' parameters['float'] = '9.9'
Please note that parameters['float'] = '9.9' will update the parameter specifically. I don't think you can update the parameter en masse...

3 years ago
0 I Have A Question Regarding "Imitating" An Agent Pulling Some Task For Debugging Purposes I Am Trying To Do Something Like: Creating A Task On The Server

DepressedChimpanzee34 , the only way I see currently is to update manually each parameter

For example:
parameters = { 'float': 2.2, 'string': 'my string', } parameters = task.connect(parameters) parameters['new_param'] = 'this is new' parameters['float'] = '9.9'
Does this help?

3 years ago
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