v2 nvidia-nccl-cu12==2.21.5 and triton==3.1.0

[hassona9999]

ERROR: Ignored the following versions that require a different python version: 1.21.2 Requires-Python >=3.7,<3.11; 1.21.3 Requires-Python >=3.7,<3.11; 1.21.4 Requires-Python >=3.7,<3.11; 1.21.5 Requires-Python >=3.7,<3.11; 1.21.6 Requires-Python >=3.7,<3.11
ERROR: Could not find a version that satisfies the requirement nvidia-nccl-cu12==2.21.5 (from versions: 0.0.1.dev5)
ERROR: No matching distribution found for nvidia-nccl-cu12==2.21.5
and
ERROR: Ignored the following versions that require a different python version: 1.21.2 Requires-Python >=3.7,<3.11; 1.21.3 Requires-Python >=3.7,<3.11; 1.21.4 Requires-Python >=3.7,<3.11; 1.21.5 Requires-Python >=3.7,<3.11; 1.21.6 Requires-Python >=3.7,<3.11; 1.6.2 Requires-Python >=3.7,<3.10; 1.6.3 Requires-Python >=3.7,<3.10; 1.7.0 Requires-Python >=3.7,<3.10; 1.7.1 Requires-Python >=3.7,<3.10; 1.7.2 Requires-Python >=3.7,<3.11; 1.7.3 Requires-Python >=3.7,<3.11; 1.8.0 Requires-Python >=3.8,<3.11; 1.8.0rc1 Requires-Python >=3.8,<3.11; 1.8.0rc2 Requires-Python >=3.8,<3.11; 1.8.0rc3 Requires-Python >=3.8,<3.11; 1.8.0rc4 Requires-Python >=3.8,<3.11; 1.8.1 Requires-Python >=3.8,<3.11
ERROR: Could not find a version that satisfies the requirement triton==3.1.0 (from versions: none)
ERROR: No matching distribution found for triton==3.1.0

[lantenne]

Hello there, have the same problemes and here is how i correct it :

1. i have pyhton 3.13 install and not 3.11 ( here the exact version : Python 3.13.2 (tags/v3.13.2:4f8bb39, Feb 4 2025, 15:23:48) )

2. i edit the requirement.txt to match this version :

asttokens>=2.4.1
cloudpickle>=3.1.0
contourpy>=1.3.0
cycler>=0.12.1
decorator>=5.1.1
einops>=0.8.0
executing>=2.1.0
Farama-Notifications>=0.0.4
filelock>=3.16.1
fonttools>=4.54.1
fsspec>=2024.9.0
grpcio>=1.67.0
gymnasium>=0.29.1
imageio>=2.36.0
ipython>=8.28.0
jedi>=0.19.1
Jinja2>=3.1.4
kiwisolver>=1.4.7
lazy_loader>=0.4
Markdown>=3.7
MarkupSafe>=3.0.2
matplotlib>=3.9.2
matplotlib-inline>=0.1.7
mediapy>=1.2.2
mpmath>=1.3.0
networkx>=3.4.1
numpy>=2.1.2
nvidia-cublas-cu12>=12.4.5.8
nvidia-cuda-cupti-cu12>=12.4.127
nvidia-cuda-nvrtc-cu12>=12.4.127
nvidia-cuda-runtime-cu12>=12.4.127
nvidia-cudnn-cu12>=9.1.0.70
nvidia-cufft-cu12>=11.2.1.3
nvidia-curand-cu12>=10.3.5.147
nvidia-cusolver-cu12>=11.6.1.9
nvidia-cusparse-cu12>=12.3.1.170
#nvidia-nccl-cu12>=2.20.3
nvidia-nvjitlink-cu12>=12.4.127
nvidia-nvtx-cu12>=12.4.127
packaging>=24.1
pandas>=2.2.3
parso>=0.8.4
pexpect>=4.9.0
pillow>=11.0.0
prompt_toolkit>=3.0.48
protobuf>=5.28.2
ptyprocess>=0.7.0
pure_eval>=0.2.3
pyboy>=2.4.0
Pygments>=2.18.0
pyparsing>=3.2.0
PySDL2>=0.9.16
pysdl2-dll>=2.30.2
python-dateutil>=2.9.0.post0
pytz>=2024.2
scikit-image>=0.24.0
scipy>=1.14.1
setuptools>=75.1.0
six>=1.16.0
stable_baselines3>=2.3.2
stack-data>=0.6.3
sympy>=1.13.1
tensorboard>=2.18.0
tensorboard-data-server>=0.7.2
tifffile>=2024.9.20
torch>=2.5.0
traitlets>=5.14.3
#triton>=3.1.0
typing_extensions>=4.12.2
tzdata>=2024.2
wcwidth>=0.2.13
websockets>=13.1
Werkzeug>=3.0.4
wheel>=0.44.0

3. now you can pip install -r requirements.txt
4. if you have a nvidia rtx 50XX series there is an extra step python.exe -s -m pip install --pre --upgrade --no-cache-dir torch --extra-index-url https://download.pytorch.org/whl/nightly/cu128
   it install pytorch with the version that support latest cuda for 50XX series

you can now run the v2 version ( you will have some warning about loading state from an older version , you can make your own state or ignore it )