错误消息如下:
RuntimeError Traceback (most recent call last)
<ipython-input-24-06e96beb03a5> in <module>()
11
12 x_test = np.array(test_features)
---> 13 x_test_cuda = torch.tensor(x_test, dtype=torch.float).cuda()
14 test = torch.utils.data.TensorDataset(x_test_cuda)
15 test_loader = torch.utils.data.DataLoader(test, batch_size=batch_size, shuffle=False)
/usr/local/lib/python3.6/dist-packages/torch/cuda/__init__.py in _lazy_init()
160 class CudaError(RuntimeError):
161 def __init__(self, code):
--> 162 msg = cudart().cudaGetErrorString(code).decode('utf-8')
163 super(CudaError, self).__init__('{0} ({1})'.format(msg, code))
164
RuntimeError: cuda runtime error (38) : no CUDA-capable device is detected at /pytorch/aten/src/THC/THCGeneral.cpp:51
答案 0 :(得分:1)
点击 运行时 ,然后选择 更改运行时类型 现在在“硬件加速”中选择 GPU 并点击“保存”