For Some Reason The Installed Packages Are Not Reflecting The One From The

Answered

for some reason the installed packages are not reflecting the one from the requirements.txt in the repository?

  				
Posted 
	4 months ago

					More  		
  Report
		
					VexedWoodpecker50
				
					0
					 × 1

Votes Newest

Answers 6

I see, thank you for the help but shouldn’t it automatically install packages that I’m specifying?

  				
Posted 
	4 months ago

					More  		
  Report
		
					VexedWoodpecker50
				
					0
					 × 1

hi CostlyOstrich36 thanks for the reply but that doesn’t seem to be the case, I have a requirements.txt file that is very different from the one getting displayed

  				
Posted 
	4 months ago

					More  		
  Report
		
					VexedWoodpecker50
				
					0
					 × 1

By default it will use the packages that were detected in the environment. You can override that default behaviour with this.

  				
Posted 
	4 months ago

					More  		
  Report
		
					CostlyOstrich36
				
					0

basically how can I make sure the packages from the requirements.txt get picked up instead of theses ones?

  				
Posted 
	4 months ago

					More  		
  Report
		
					VexedWoodpecker50
				
					0
					 × 1

Hi VexedWoodpecker50 , these are the packages that were on the environment that ran the experiment. Please see here - None

  				
Posted 
	4 months ago

					More  		
  Report
		
					CostlyOstrich36
				
					0

I think this is what you're looking for then - None
Task.add_requirements

  				
Posted 
	4 months ago

					More  		
  Report
		
					CostlyOstrich36
				
					0

Write your answer

348 Views

6 Answers

4 months ago

Hello, Remote Task Execution Is Failing Due To The Following Error, Right After Packages Have Been Installed. Any Idea How To Fix This? :

Hey Guys! I'M Having Some Issues With Pytorch And Clearml. I Am Starting A New Task Using Task.Create And Setting Pytorch As A Requirement Under `Packages`. For Some Reason Pytorch With Cuda 12 Is Being Installed, But I Need Cuda 11. Do You Know How To Se

Hi There, I Have A Question Regarding The Automatic Requirements Collection Of Clearml-Agent. Currently I Have Two Pip Packages Installed In The Base-Docker Image. When I Run My Experiment I Use:

Hello!, Does Anyone Know Why When Running A Task In A Specific Docker Image, There Are Some Python Packages Whose Versions Doesn'T Match? For Example, I Have Installed The Package Ultralytics On 8.1.25 On The Docker Image But It'S On 8.1.11 In The Install

After Running My Pipeline On A Gcp Vm, I Am Getting The Following Error When Installing The Packages Successfully Installed Numpy-1.24.1 Torch Cuda 110 Index Page Found, Adding

Hi All, I'M A New User With Clearml-Agent. I Know It'S Supposed To Automatically Replicate The Environment Of A Task, Based On Installed Packages List. However, Installed Packages Of My Task Is Misses Many Of Installed Packages (Any Idea Why?) How Do I Co

Hi, When Running A Task To Training On The Clearml Agent It Installs Packages Not With The Correct Version That My Requirments.Txt Has, I'Ve Installed A Environment Manually For The Requirements.Txt And It Installs The Correct Versions However On The Agen

Hey Guys! We Run Tasks Using Docker Mode Environment. The Docker Image We'Re Using Has Already All The Packages Installed On The System, But I Notice That Every-Time We Run A Task, It Tries To Install The Environment Packages Over Again. Is There A Way To

One Question.. If I Had A Docker Image In The Docker Registry That Had All The Requirements Of A Task Already Installed, Would That Let The Clearml-Agents Skip The Part Of Installing Requirements For A Task? Such As Extra Python Packages