Is it possible to set extra-index-url on a per-task basis? Just asking because of the way you wrote it with the two dashes 🙂

Let me try

ReassuredTiger98 , Pytorch installation are a sore point 🙂 Can you maybe try to specify a specific build and see if it works?

It seems like clearml removes the dev... from torch == 1.14.0.dev20221205+cu117 in the /tmp/ cached requirements.txt

Do you have the same python version locally as remotely?
Some ways you could continue now:
you can reuse an existing python virtual environment: https://clear.ml/docs/latest/docs/clearml_agent/#virtual-environment-reuse

You can also run the agent in docker mode: https://clear.ml/docs/latest/docs/clearml_agent/#docker-mode

I'll have a look at the differences concerning the dev disappearing.

Yes

You mean I can add exactly what you wrote
--extra-index-url clearml torch == 1.14.0.dev20221205+cu117 torchvision == 0.15.0.dev20221205+cputo the installed packages section?

Alright, thank you. I will try to debug further

Bonus question: Is there some clearml-agent mode that does not do "some magic" and instead just installs exactly what is shown in the "INSTALLED PACKAGES" editor in the web UI?

Also clearml-agent at version 1.5 does not look for nightly at the correct indexes even of torch_nightly set to true in clearml.conf

Looking in indexes: https://pypi.org/simple , https://download.pytorch.org/whl/cu117/

What you mean by "Why not add the extra_index_url to the installed packages part of the script?"?

Sorry, not of the script, of the Task. I just added --extra-index-url to the "Installed Packages" section, and it worked.

I only added
# Python 3.8.2 (main, Nov 24 2022, 14:13:03) [GCC 11.2.0] --extra-index-url clearml torch == 1.14.0.dev20221205+cu117 torchvision == 0.15.0.dev20221205+cpuand I used a amd64/ubuntu:20.04 docker image with python3.8 . Same error. If it is not too much to ask, could you try to run it with this docker image?

Thanks :)

Can You tell me which python version is running on the agent/docker and which docker image?

Can you maybe also tell me which docker image you used? For me this is all not working unfortunately

ReassuredTiger98 I think it works for me 🙂
I added this to the requirements (You can put the extra-index-url in the clearml.conf), and I've enabled the torch nightly flag:
--extra-index-url https://download.pytorch.org/whl/nightly/cu117
clearml
torch == 1.14.0.dev20221205+cu117
torchvision == 0.15.0.dev20221205+cpu

What I am trying to do it install this
torch == 1.14.0.dev20221205+cu117 torchvision == 0.15.0.dev20221205+cpuIs this what you mean by specific build?

Ran on an agent ofcourse 🙂

And I use....I think python 3.8

Why not add the extra_index_url to the installed packages part of the script? Worked for me 😄

Hi TimelyMouse69 Thank you for your answer.
I use 3.10.8 locally and 3.10.6 remotely. Everything is run in a docker container, locally and remotely on the docker-agent (exactly the same docker image).
Thank you for looking into the disappearing dev . It seems like this should be the reason for pip trying to install a stable version of 1.14, which does only exist as nightly

I am using https://hub.docker.com/layers/nvidia/cuda/11.8.0-base-ubuntu22.04/images/sha256-88b85c6edd089acdf0cb7f3be020a1e812b009bafaf92c1715ab6677bd997ef1?context=explore
which has python 3.10.6 if I remember correctly.

I didn't run inside a docker

btw: Could you check whether agent.package_manager.system_site_packages is true or false in your config and in the summary that the agent gives before execution?
I start my agent in --foreground mode for debugging and it clearly show false , but in the summary that the agent gives before the task is executed, it shows true .

Maybe if you have time you can take a look at the log I posted in the beginning. I think I have the same extra_index_url and the nightly flag activated 😕

Yeah! I think maybe we don't parse the build number..let me try 🙂

In the installed pacakges I got:

• 'torch==1.14.0.dev20221205 # https://download.pytorch.org/whl/nightly/cu117/torch-1.14.0.dev20221205%2Bcu117-cp38-cp38-linux_x86_64.whl '
• torchtriton==2.0.0+0d7e753227
• 'torchvision==0.15.0.dev20221205 # https://download.pytorch.org/whl/nightly/cu117/torchvision-0.15.0.dev20221205%2Bcpu-cp38-cp38-linux_x86_64.whl '