In colab, cuda cannot be used for the torchWhat 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
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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;
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
add a comment |
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
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
add a comment |
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
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
pytorch google-colaboratory torch
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
add a comment |
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
add a comment |
1 Answer
1
active
oldest
votes
Click on Runtime and select Change runtime type
now in Hardware Acceleration select GPU and hit Save
add a comment |
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1 Answer
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1 Answer
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active
oldest
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active
oldest
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active
oldest
votes
Click on Runtime and select Change runtime type
now in Hardware Acceleration select GPU and hit Save
add a comment |
Click on Runtime and select Change runtime type
now in Hardware Acceleration select GPU and hit Save
add a comment |
Click on Runtime and select Change runtime type
now in Hardware Acceleration select GPU and hit Save
Click on Runtime and select Change runtime type
now in Hardware Acceleration select GPU and hit Save
answered Apr 17 at 8:25
Mohammad SohairMohammad Sohair
212 bronze badges
212 bronze badges
add a comment |
add a comment |
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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