torch.geqrf on a CPU tensor

[TDL77]

RuntimeError: Calling torch.geqrf on a CPU tensor requires compiling PyTorch with LAPACK. Please use PyTorch built with LAPACK support.

RuntimeError: Calling torch.geqrf on a CPU tensor requires compiling PyTorch with LAPACK. Please use PyTorch built with LAPACK support.

• (LSTM, {'n_layers':1, 'bidirectional': False}),
• (LSTM, {'n_layers':2, 'bidirectional': False}),
• (LSTM, {'n_layers':3, 'bidirectional': False}),
• (LSTM, {'n_layers':1, 'bidirectional': True}),
• (LSTM, {'n_layers':2, 'bidirectional': True}),
• (LSTM, {'n_layers':3, 'bidirectional': True}),

• (RNNPlus,{}) and other models from the notebook 05_TS_archs_comparison.ipynb start up and work fine. Tell me what to do?

  os : Windows-10-10.0.19045-SP0 python : 3.10.10 tsai : 0.3.5 fastai : 2.7.11 fastcore : 1.5.29 torch : 1.12.1 cpu cores : 14 threads per cpu : 1 RAM : 63.71 GB GPU memory : [8.0] GB

[TDL77]

i reinstall torch pip install https://download.pytorch.org/whl/cu116/torch-1.13.1%2Bcu116-cp310-cp310-win_amd64.whl , and all work !

os : Windows-10-10.0.19045-SP0 python : 3.10.10 tsai : 0.3.5 fastai : 2.7.11 fastcore : 1.5.29 torch : 1.13.1+cu116 # <<<--- device : 1 gpu (['NVIDIA GeForce RTX 3070 Ti Laptop GPU']) cpu cores : 14 threads per cpu : 1 RAM : 63.71 GB GPU memory : [8.0] GB