我有一个非常简单的例子。
import torch
if __name__ == "__main__":
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
m = torch.nn.Linear(20, 30).to(DEVICE)
input = torch.randn(128, 20).to(DEVICE)
output = m(input)
print('output', output.size())
exit()
然后我得到:
Traceback (most recent call last):
File "test.py", line 9, in <module>
output = m(input)
File "/home/shamoon/.local/share/virtualenvs/speech-reconstruction-7HMT9fTW/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/shamoon/.local/share/virtualenvs/speech-reconstruction-7HMT9fTW/lib/python3.8/site-packages/torch/nn/modules/linear.py", line 94, in forward
return F.linear(input, self.weight, self.bias)
File "/home/shamoon/.local/share/virtualenvs/speech-reconstruction-7HMT9fTW/lib/python3.8/site-packages/torch/nn/functional.py", line 1753, in linear
return torch._C._nn.linear(input, weight, bias)
RuntimeError: CUDA error: CUBLAS_STATUS_INTERNAL_ERROR when calling `cublasCreate(handle)`
我正在使用PyTorch 1.7.1
。任何帮助将不胜感激。
谢谢。
编辑。python -m torch.utils.collect_env
的更新如下:
Collecting environment information...
PyTorch version: 1.8.0
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.2 LTS (x86_64)
GCC version: (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
Clang version: 11.1.0
CMake version: version 3.18.4
Python version: 3.8 (64-bit runtime)
Is CUDA available: True
CUDA runtime version: Could not collect
GPU models and configuration:
GPU 0: TITAN RTX
GPU 1: TITAN RTX
GPU 2: TITAN RTX
GPU 3: TITAN RTX
GPU 4: TITAN RTX
GPU 5: TITAN RTX
GPU 6: TITAN RTX
GPU 7: TITAN RTX
Nvidia driver version: 460.39
cuDNN version: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
HIP runtime version: N/A
MIOpen runtime version: N/A
Versions of relevant libraries:
[pip3] numpy==1.20.1
[pip3] torch==1.8.0
[pip3] torchaudio==0.8.0
[pip3] torchsummary==1.5.1
[conda] Could not collect
python -m torch.utils.collect_env
的输出吗? - Berriel