Records 401–417 — Software interface version compatibility
Records 401 to 417 of 417. Each links to its own page, which carries the source URL and the quoted line that states the value.
- torch==2.8.0 + triton==3.4.0triton==3.4.0; platform_system == \"Linux\" and platform_machine == \"x86_64\"
- torch==2.9.0 + CUDA 12.6# 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
- torch==2.9.0 + CUDA 12.8# 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
- torch==2.9.0 + CUDA 13.0# 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
- torch==2.9.1 + CUDA 12.6# 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
- torch==2.9.1 + CUDA 12.8# 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
- torch==2.9.1 + CUDA 13.0# 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
- torch==2.9.1 + sympy>=1.13.3"sympy>=1.13.3","networkx>=2.5.1","jinja2","fsspec>=0.8.5"
- torch==2.9.1 + triton==3.5.1triton==3.5.1; platform_system == \"Linux\" and platform_machine == \"x86_64\"
- TuxCare Endless Lifecycle Support for EOL open-sourceEndless Lifecycle Support (ELS)
- Ubuntu Pro — extended security maintenanceUbuntu Pro Subscription
- whisperX + NumPy 2.0.1 incompatibilitycompiled using NumPy 1.x cannot be run in NumPy 2.0.1 as it may crash
- xformers==0.0.29.post3 + torch==2.6.0"requires_dist":["numpy","torch==2.6.0"]
- xformers==0.0.30 + torch==2.7.0"requires_dist":["numpy","torch==2.7.0"]
- xformers==0.0.32.post2 + torch==2.8.0"requires_dist":["numpy","torch==2.8.0"]
- xformers==0.0.33.post2 + torch==2.9.1"requires_dist":["numpy","torch==2.9.1"]
- xformers==0.0.35 + torch>=2.10"requires_dist":["torch>=2.10","numpy"]
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