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12.6
[ "pairing", "product" ]
torch-2-9-0-cuda-12-6
torch==2.9.0 + CUDA 12.6
PyTorch
2.9.0
https://pytorch.org/get-started/previous-versions/
# CUDA 12.6 pip install torch==2.9.0 torchvision==0.24.0 torchaudio==2.9.0 --index-url https://download.pytorch.org/whl/cu126
https://referencesource.org/software-interface-version-compatibility/torch-2-9-0-cuda-12-6/
[ "companion_packages", "dependency_version", "software_version" ]
torchvision==0.24.0 torchaudio==2.9.0
null
null
null
CUDA 12.6.3, 12.8.1, 13.0.0
[ "pairing", "product" ]
torch-2-9-0-cuda-12-6-3-12-8-1-13-0-0
Torch 2.9.0 + CUDA 12.6.3/12.8.1/13.0.0
PyTorch
2.9.0
https://medium.com/@vici0549/the-definitive-guide-to-pytorch-cuda-and-flash-attention-compatibility-ebec1161ec10
Torch 2.9.0 → CUDA 12.6.3, 12.8.1, 13.0.0
https://referencesource.org/software-interface-version-compatibility/torch-2-9-0-cuda-12-6-3-12-8-1-13-0-0/
[ "dependency_version", "software_version" ]
null
null
null
null
12.8
[ "pairing", "product" ]
torch-2-9-0-cuda-12-8
torch==2.9.0 + CUDA 12.8
PyTorch
2.9.0
https://pytorch.org/get-started/previous-versions/
# CUDA 12.8 pip install torch==2.9.0 torchvision==0.24.0 torchaudio==2.9.0 --index-url https://download.pytorch.org/whl/cu128
https://referencesource.org/software-interface-version-compatibility/torch-2-9-0-cuda-12-8/
[ "companion_packages", "dependency_version", "software_version" ]
torchvision==0.24.0 torchaudio==2.9.0
null
null
null
13.0
[ "pairing", "product" ]
torch-2-9-0-cuda-13-0
torch==2.9.0 + CUDA 13.0
PyTorch
2.9.0
https://pytorch.org/get-started/previous-versions/
# CUDA 13.0 pip install torch==2.9.0 torchvision==0.24.0 torchaudio==2.9.0 --index-url https://download.pytorch.org/whl/cu130
https://referencesource.org/software-interface-version-compatibility/torch-2-9-0-cuda-13-0/
[ "companion_packages", "dependency_version", "software_version" ]
torchvision==0.24.0 torchaudio==2.9.0
null
null
null
12.6
[ "pairing", "product" ]
torch-2-9-1-cuda-12-6
torch==2.9.1 + CUDA 12.6
PyTorch
2.9.1
https://pytorch.org/get-started/previous-versions/
# CUDA 12.6 pip install torch==2.9.1 torchvision==0.24.1 torchaudio==2.9.1 --index-url https://download.pytorch.org/whl/cu126
https://referencesource.org/software-interface-version-compatibility/torch-2-9-1-cuda-12-6/
[ "companion_packages", "dependency_version", "software_version" ]
torchvision==0.24.1 torchaudio==2.9.1
null
null
null
CUDA 12.6.3, 12.8.1, 12.9.1, 13.0.0
[ "pairing", "product" ]
torch-2-9-1-cuda-12-6-3-12-8-1-12-9-1-13-0-0
Torch 2.9.1 + CUDA 12.6.3/12.8.1/12.9.1/13.0.0
PyTorch
2.9.1
https://medium.com/@vici0549/the-definitive-guide-to-pytorch-cuda-and-flash-attention-compatibility-ebec1161ec10
Torch 2.9.1 → CUDA 12.6.3, 12.8.1, 12.9.1, 13.0.0
https://referencesource.org/software-interface-version-compatibility/torch-2-9-1-cuda-12-6-3-12-8-1-12-9-1-13-0-0/
[ "dependency_version", "software_version" ]
null
null
null
null
12.8
[ "pairing", "product" ]
torch-2-9-1-cuda-12-8
torch==2.9.1 + CUDA 12.8
PyTorch
2.9.1
https://pytorch.org/get-started/previous-versions/
# CUDA 12.8 pip install torch==2.9.1 torchvision==0.24.1 torchaudio==2.9.1 --index-url https://download.pytorch.org/whl/cu128
https://referencesource.org/software-interface-version-compatibility/torch-2-9-1-cuda-12-8/
[ "companion_packages", "dependency_version", "software_version" ]
torchvision==0.24.1 torchaudio==2.9.1
null
null
null
13.0
[ "pairing", "product" ]
torch-2-9-1-cuda-13-0
torch==2.9.1 + CUDA 13.0
PyTorch
2.9.1
https://pytorch.org/get-started/previous-versions/
# CUDA 13.0 pip install torch==2.9.1 torchvision==0.24.1 torchaudio==2.9.1 --index-url https://download.pytorch.org/whl/cu130
https://referencesource.org/software-interface-version-compatibility/torch-2-9-1-cuda-13-0/
[ "companion_packages", "dependency_version", "software_version" ]
torchvision==0.24.1 torchaudio==2.9.1
null
null
null
Triton 3.5.1
[ "pairing", "product" ]
torch-2-9-1-triton-3-5-1-sympy-1-13-3
Torch 2.9.1 + Triton 3.5.1 + SymPy 1.13.3
PyTorch + Triton
2.9.1
https://medium.com/@vici0549/the-definitive-guide-to-pytorch-cuda-and-flash-attention-compatibility-ebec1161ec10
Torch 2.9.1 → Triton 3.5.1 → SymPy 1.13.3
https://referencesource.org/software-interface-version-compatibility/torch-2-9-1-triton-3-5-1-sympy-1-13-3/
[ "companion_packages", "dependency_version", "software_version" ]
SymPy 1.13.3
null
null
null
OS, Runtimes, Libraries, Applications
[ "pairing", "product" ]
tuxcare-endless-lifecycle-support-for-eol-open-source
TuxCare Endless Lifecycle Support for EOL open-source
TuxCare
TuxCare ELS
https://tuxcare.com/extended-lifecycle-support-v0/
Endless Lifecycle Support (ELS)
https://referencesource.org/software-interface-version-compatibility/tuxcare-endless-lifecycle-support-for-eol-open-source/
null
null
null
null
null
extended security maintenance
[ "pairing", "product" ]
ubuntu-pro-extended-security-maintenance
Ubuntu Pro — extended security maintenance
Ubuntu Pro
Ubuntu Pro
https://ubuntu.com/pricing/pro
Ubuntu Pro Subscription
https://referencesource.org/software-interface-version-compatibility/ubuntu-pro-extended-security-maintenance/
[ "software_version" ]
null
null
null
null
NumPy 2.0.1
[ "pairing", "product" ]
whisperx-numpy-2-0-1-incompatibility
whisperX + NumPy 2.0.1 incompatibility
whisperX
whisperX
https://github.com/m-bain/whisperX/issues/927
compiled using NumPy 1.x cannot be run in NumPy 2.0.1 as it may crash
https://referencesource.org/software-interface-version-compatibility/whisperx-numpy-2-0-1-incompatibility/
[ "dependency_version" ]
null
null
null
null
torch 2.6.0
[ "pairing", "product" ]
xformers-v0-0-29-post3-torch-2-6-0
xformers v0.0.29.post3 + torch 2.6.0
xformers
v0.0.29.post3
https://medium.com/@vici0549/the-definitive-guide-to-pytorch-cuda-and-flash-attention-compatibility-ebec1161ec10
xformers v0.0.29.post3 → torch 2.6.0 → FA2 2.7.1–2.7.2 → CUDA 12.4.1, 12.6.3
https://referencesource.org/software-interface-version-compatibility/xformers-v0-0-29-post3-torch-2-6-0/
[ "dependency_version", "software_version" ]
FA2 2.7.1-2.7.2, CUDA 12.4.1/12.6.3
null
null
null
torch 2.7.0
[ "pairing", "product" ]
xformers-v0-0-30-torch-2-7-0
xformers v0.0.30 + torch 2.7.0
xformers
v0.0.30
https://medium.com/@vici0549/the-definitive-guide-to-pytorch-cuda-and-flash-attention-compatibility-ebec1161ec10
xformers v0.0.30 → torch 2.7.0 → FA2 2.7.1–2.7.4 → CUDA 12.6.3, 12.8.0
https://referencesource.org/software-interface-version-compatibility/xformers-v0-0-30-torch-2-7-0/
[ "dependency_version", "software_version" ]
FA2 2.7.1-2.7.4, CUDA 12.6.3/12.8.0
null
null
null
torch 2.8.0
[ "pairing", "product" ]
xformers-v0-0-32-torch-2-8-0
xformers v0.0.32 + torch 2.8.0
xformers
v0.0.32
https://medium.com/@vici0549/the-definitive-guide-to-pytorch-cuda-and-flash-attention-compatibility-ebec1161ec10
xformers v0.0.32 → torch 2.8.0 → FA2 2.7.1–2.8.2 → CUDA 12.6.3, 12.8.1, 12.9.1
https://referencesource.org/software-interface-version-compatibility/xformers-v0-0-32-torch-2-8-0/
[ "dependency_version", "software_version" ]
FA2 2.7.1-2.8.2, CUDA 12.6.3/12.8.1/12.9.1
null
null
null
torch 2.9.1
[ "pairing", "product" ]
xformers-v0-0-33-post2-torch-2-9-1
xformers v0.0.33.post2 + torch 2.9.1
xformers
v0.0.33.post2
https://medium.com/@vici0549/the-definitive-guide-to-pytorch-cuda-and-flash-attention-compatibility-ebec1161ec10
xformers v0.0.33.post2 → torch 2.9.1 → FA2 2.7.1–2.8.4 → CUDA 12.6.3, 12.8.1, 13.0.0
https://referencesource.org/software-interface-version-compatibility/xformers-v0-0-33-post2-torch-2-9-1/
[ "dependency_version", "software_version" ]
FA2 2.7.1-2.8.4, CUDA 12.6.3/12.8.1/13.0.0
null
null
null
torch 2.10.0
[ "pairing", "product" ]
xformers-v0-0-35-torch-2-10-0-fa2-2-7-1-2-8-4
xformers v0.0.35 + torch 2.10.0 + FA2 2.7.1-2.8.4
xformers
v0.0.35
https://medium.com/@vici0549/the-definitive-guide-to-pytorch-cuda-and-flash-attention-compatibility-ebec1161ec10
xformers v0.0.35 → torch 2.10.0 → FA2 2.7.1–2.8.4 → CUDA 12.6.3, 12.8.1, 13.0.0
https://referencesource.org/software-interface-version-compatibility/xformers-v0-0-35-torch-2-10-0-fa2-2-7-1-2-8-4/
[ "dependency_version", "software_version" ]
FA2 2.7.1-2.8.4, CUDA 12.6.3/12.8.1/13.0.0
null
null
null