Installation on an hpc

[SamSilmarilData]

hello, Great work with the repo fork.

i have access to my university HPC. i want to try installing sd.next on it.
installed python version is 3.8, and cuda version is 11.0.
the system is rhel 7.5.

Can somebody help me install it?
i naturally do not have sysadmin privileges.

thanks in advance!

[vladmandic]

python 3.8 is too old. go for python 3.10. and it doesn't have to be a system install, it can be just for your user.
and then run webui.sh and see what happens - if it detects a compute resource or not - i cannot say more without knowing exactly what kind of hpc we're talking about and even then, i have no way of testing that specific one.

[SamSilmarilData]

so i went directly for python 3.11.5

the problem is, whenever i try to run the webui.sh, it still says:

Create and activate python venv
Launching launch.py...
20:36:56-668125 DEBUG    Logger: file=/home/PACE/sm98741n/automatic/sdnext.log  
                         level=10 size=0 mode=create                            
20:36:56-671537 INFO     Starting SD.Next                                       
20:36:56-672444 INFO     Python 3.8.14 on Linux                                 
20:36:56-673311 ERROR    Incompatible Python version: 3.8.14 required 3.[9, 10, 
                         11]    

even tho i changed the aliases for both python and python3 to point to python 3.11.5 in the .bashrc file.
any clue?

[vladmandic]

set env variable PYTHON to point to your python binary - if its defined, sdnext will use it.
or change order of PATH in your bashrc so your python comes before system one.
i'd recommend first approach.

[SamSilmarilData]

i did both.
export PYTHON=/home/****/********/.local/bin/python3.11
and the ordering of PATH variable. still the same response.

[brknsoul]

I think you gotta add python to the end of that;
export PYTHON=/home/****/********/.local/bin/python3.11/python
You should be able to also do whereis python

[vladmandic]

ahhh, webui.sh was still using old format for env variable. i'll update it to PYTHON in the next version.
for now, do something like:

export python_cmd=/bin/python; ./webui.sh --debug

[SamSilmarilData]

thanks! that got it installed (at least).

now the problem is the gpu driver version is too old it seems. this is the output:

RuntimeError: The NVIDIA driver on your system is too old (found version 11000). Please 
update your GPU driver by downloading and installing a new version from the URL: 
http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to 
install a PyTorch version that has been compiled with your version of the CUDA driver.

[vladmandic]

not much i can do about that. you can try to uninstall torch installed automatically by sdnext and manually installing older torch that may be compatible with that ancient driver, but no guarantees.
(sdnext will use torch whatever torch is present if one is already installed)

[SamSilmarilData]

So I think the only pytorch versions available for cuda 11.0 are:
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=11.0 -c pytorch

But it seems using this creates conflicts with python 3.10.7:

conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=11.0 -c pytorch
Collecting package metadata (current_repodata.json): done
Solving environment: unsuccessful initial attempt using frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: unsuccessful initial attempt using frozen solve. Retrying with flexible solve.
Solving environment: | 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed                                                                          

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - pytorch==1.7.1 -> python[version='>=3.6,<3.7.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0']
  - torchaudio==0.7.2 -> python[version='>=3.6,<3.7.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0']
  - torchvision==0.8.2 -> python[version='>=3.6,<3.7.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0']

Your python: python=3.10

If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.

The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package _openmp_mutex conflicts for:
cudatoolkit=11.0 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']
torchvision==0.8.2 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']
pytorch==1.7.1 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']
python=3.10 -> libgcc-ng[version='>=11.2.0'] -> _openmp_mutex[version='>=4.5']

Package libstdcxx-ng conflicts for:
torchvision==0.8.2 -> libstdcxx-ng[version='>=7.3.0']
cudatoolkit=11.0 -> libstdcxx-ng[version='>=7.3.0']
python=3.10 -> libffi[version='>=3.4,<3.5'] -> libstdcxx-ng[version='>=11.2.0|>=7.5.0|>=7.3.0']
pytorch==1.7.1 -> libstdcxx-ng[version='>=7.3.0']
pytorch==1.7.1 -> mkl[version='>=2018'] -> libstdcxx-ng[version='>=11.2.0|>=7.5.0|>=7.2.0']
torchvision==0.8.2 -> numpy[version='>=1.11'] -> libstdcxx-ng[version='>=11.2.0|>=7.5.0|>=8.4.0|>=7.2.0']
torchaudio==0.7.2 -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='>=11.2.0|>=7.5.0|>=7.3.0|>=7.2.0']

Package numpy-base conflicts for:
pytorch==1.7.1 -> numpy[version='>=1.11'] -> 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torchvision==0.8.2 -> numpy[version='>=1.11'] -> 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Package pytorch conflicts for:
torchvision==0.8.2 -> pytorch[version='1.7.1|1.7.1.*']
torchaudio==0.7.2 -> pytorch==1.7.1

Package cudatoolkit conflicts for:
torchaudio==0.7.2 -> pytorch==1.7.1 -> cudatoolkit[version='>=10.1,<10.2|>=11.0,<11.1|>=10.2,<10.3|>=9.2,<9.3']
pytorch==1.7.1 -> cudatoolkit[version='>=10.1,<10.2|>=11.0,<11.1|>=10.2,<10.3|>=9.2,<9.3']
torchvision==0.8.2 -> cudatoolkit[version='>=10.1,<10.2|>=11.0,<11.1|>=10.2,<10.3|>=9.2,<9.3']The following specifications were found to be incompatible with your system:

  - feature:/linux-64::__glibc==2.17=0
  - feature:|@/linux-64::__glibc==2.17=0
  - cudatoolkit=11.0 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']
  - pytorch==1.7.1 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']
  - torchvision==0.8.2 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']

Your installed version is: 2.17

The only options in front of me are either:

• Roll back python to python version 3.8, for which pytorch version 1.7.0 is compatible (but that way sd.next won't work)
• Update cuda version to a more recent one (admin is lazy and will take a long time to do)

So it seems like i'm going to be working with cpu only for now. Thanks anyways!

[vladmandic]

python 3.8 may be too old, but python 3.9 still works with sdnext. although no idea if that old torch would be ok with that.

[SamSilmarilData]

So i tried doing this several ways, but this is how i achieved it:

1. create a conda environment with python 3.10.13 and git installed.
2. create and build a singularity container which contains the necessary CUDA version and cudnn8 libraries. preferably have python and git installed there as well.
3. run the container inside the hpc. we use singularity on the HPC.
4. activate the conda environment, and install the webui from there.