In Colaboratory, CUDA cannot be used for the torch
21,603
Click on Runtime and select Change runtime type.
Now in Hardware Acceleration, select GPU and hit Save.
Author by
biao_biao
Updated on January 20, 2022Comments
-
biao_biao over 2 years
The error message is as follows:
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
-
Peter Mortensen over 3 yearsIs the actual spelling "Change runtime type"?
-
lucidbrot over 3 years@PeterMortensen yes