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In colab, cuda cannot be used for the torch


What is the relationship between PyTorch and Torch?Torch sum a tensor along an axisAccess parameter names in torchHow could I install Torch on Google Colab if it does not exist the file ~/.bashrc?Implementing a custom dataset with PyTorchimport torch error in google ColaboratoryTorch '!./install.sh' returns error in Colab when installing TorchHow to install CUDA in Google Colab - Cannot initialize CUDA without ATen_cuda libraryAssertionError: Torch not compiled with CUDA enabledsize mismatch, m1: [3584 x 28], m2: [784 x 128] at /pytorch/aten/src/TH/generic/THTensorMath.cpp:940






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








-4















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









share|improve this question


























  • Can you clarify what you have tried so far? What is the exact setup, and what is your relevant code?

    – dennlinger
    Mar 27 at 6:18











  • Did you check if you have GPU acceleration enabled?

    – blue-phoenox
    Mar 27 at 9:10











  • yes, I don't open this GPU! Thank you!

    – biao_biao
    Apr 1 at 3:47

















-4















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









share|improve this question


























  • Can you clarify what you have tried so far? What is the exact setup, and what is your relevant code?

    – dennlinger
    Mar 27 at 6:18











  • Did you check if you have GPU acceleration enabled?

    – blue-phoenox
    Mar 27 at 9:10











  • yes, I don't open this GPU! Thank you!

    – biao_biao
    Apr 1 at 3:47













-4












-4








-4








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









share|improve this question
















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






pytorch google-colaboratory torch






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 27 at 4:15









talonmies

60.8k17 gold badges141 silver badges209 bronze badges




60.8k17 gold badges141 silver badges209 bronze badges










asked Mar 27 at 2:33









biao_biaobiao_biao

1




1















  • Can you clarify what you have tried so far? What is the exact setup, and what is your relevant code?

    – dennlinger
    Mar 27 at 6:18











  • Did you check if you have GPU acceleration enabled?

    – blue-phoenox
    Mar 27 at 9:10











  • yes, I don't open this GPU! Thank you!

    – biao_biao
    Apr 1 at 3:47

















  • Can you clarify what you have tried so far? What is the exact setup, and what is your relevant code?

    – dennlinger
    Mar 27 at 6:18











  • Did you check if you have GPU acceleration enabled?

    – blue-phoenox
    Mar 27 at 9:10











  • yes, I don't open this GPU! Thank you!

    – biao_biao
    Apr 1 at 3:47
















Can you clarify what you have tried so far? What is the exact setup, and what is your relevant code?

– dennlinger
Mar 27 at 6:18





Can you clarify what you have tried so far? What is the exact setup, and what is your relevant code?

– dennlinger
Mar 27 at 6:18













Did you check if you have GPU acceleration enabled?

– blue-phoenox
Mar 27 at 9:10





Did you check if you have GPU acceleration enabled?

– blue-phoenox
Mar 27 at 9:10













yes, I don't open this GPU! Thank you!

– biao_biao
Apr 1 at 3:47





yes, I don't open this GPU! Thank you!

– biao_biao
Apr 1 at 3:47












1 Answer
1






active

oldest

votes


















2














Click on Runtime and select Change runtime type
now in Hardware Acceleration select GPU and hit Save






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    Click on Runtime and select Change runtime type
    now in Hardware Acceleration select GPU and hit Save






    share|improve this answer





























      2














      Click on Runtime and select Change runtime type
      now in Hardware Acceleration select GPU and hit Save






      share|improve this answer



























        2












        2








        2







        Click on Runtime and select Change runtime type
        now in Hardware Acceleration select GPU and hit Save






        share|improve this answer













        Click on Runtime and select Change runtime type
        now in Hardware Acceleration select GPU and hit Save







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Apr 17 at 8:25









        Mohammad SohairMohammad Sohair

        212 bronze badges




        212 bronze badges





















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