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use cu126 for 10 series and older GPUs

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w-e-w
2025-11-07 19:14:39 +09:00
parent 6685e532df
commit eb08cc3e07
1 changed files with 14 additions and 1 deletions
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15
modules/launch_utils.py
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@@ -347,8 +347,21 @@ def early_access_blackwell_wheels():
return f'pip install {ea_whl.get(sys.version_info.minor)}'
def get_default_torch_index_url():
"""Choose default torch index url based on GPU CUDA Compute Capability (CC)
Use cu126 for CC <= 7.2, cu128 for CC > 7.2
PyTorch have dropped support for older GPUs on their cu128 and above wheels,
For Nvidia 10 series and older GPUs (CC < 7.0) should use cu126 wheels
Since GPUs with CC <= 7.2 are considered legacy by Nvidia
ref 2025-11-07 https://developer.nvidia.com/cuda-legacy-gpus
"""
if get_cuda_comp_cap() <= 7.2:
return "https://download.pytorch.org/whl/cu126"
return "https://download.pytorch.org/whl/cu128"
def prepare_environment():
torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu128")
torch_index_url = os.environ.get('TORCH_INDEX_URL', get_default_torch_index_url())
torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.7.0 torchvision==0.22.0 --extra-index-url {torch_index_url}")
if args.use_ipex:
if platform.system() == "Windows":