in pytorch, cuda.is_availbale(), but every operation fails with out of memory
I've set up a new virtual machine (on GCP) with a K80 GPU on Ubuntu 16.
Followed installation instructions for the CUDA toolkit 9.1
nvidia-smi returns correctly:
NVIDIA-SMI 390.12 Driver Version: 390.12
...
in pytorch, cuda.is_available() returns True,
but any operation fails:
torch.randn(10).cuda() ==>
RuntimeError: cuda runtime error (2) : out of memory at /opt/conda/conda-
bld/pytorch_1512378422383/work/torch/lib/THC/generic/THCStorage.cu:58
What am I missing in the installation?
linux gpu pytorch
edited Jan 28 '18 at 13:06
talonmies
59.4k17128197
asked Jan 28 '18 at 12:34
PaulPaul
9021721
add a comment |
I've set up a new virtual machine (on GCP) with a K80 GPU on Ubuntu 16.
Followed installation instructions for the CUDA toolkit 9.1
nvidia-smi returns correctly:
NVIDIA-SMI 390.12 Driver Version: 390.12
...
in pytorch, cuda.is_available() returns True,
but any operation fails:
torch.randn(10).cuda() ==>
RuntimeError: cuda runtime error (2) : out of memory at /opt/conda/conda-
bld/pytorch_1512378422383/work/torch/lib/THC/generic/THCStorage.cu:58
What am I missing in the installation?
linux gpu pytorch
edited Jan 28 '18 at 13:06
talonmies
59.4k17128197
asked Jan 28 '18 at 12:34
PaulPaul
9021721
add a comment |
I've set up a new virtual machine (on GCP) with a K80 GPU on Ubuntu 16.
Followed installation instructions for the CUDA toolkit 9.1
nvidia-smi returns correctly:
NVIDIA-SMI 390.12 Driver Version: 390.12
...
in pytorch, cuda.is_available() returns True,
but any operation fails:
torch.randn(10).cuda() ==>
RuntimeError: cuda runtime error (2) : out of memory at /opt/conda/conda-
bld/pytorch_1512378422383/work/torch/lib/THC/generic/THCStorage.cu:58
What am I missing in the installation?
linux gpu pytorch
edited Jan 28 '18 at 13:06
talonmies
59.4k17128197
asked Jan 28 '18 at 12:34
PaulPaul
9021721
I've set up a new virtual machine (on GCP) with a K80 GPU on Ubuntu 16.
Followed installation instructions for the CUDA toolkit 9.1
nvidia-smi returns correctly:
NVIDIA-SMI 390.12 Driver Version: 390.12
...
in pytorch, cuda.is_available() returns True,
but any operation fails:
torch.randn(10).cuda() ==>
RuntimeError: cuda runtime error (2) : out of memory at /opt/conda/conda-
bld/pytorch_1512378422383/work/torch/lib/THC/generic/THCStorage.cu:58
What am I missing in the installation?
linux gpu pytorch
linux gpu pytorch
edited Jan 28 '18 at 13:06
talonmies
59.4k17128197
asked Jan 28 '18 at 12:34
PaulPaul
9021721
edited Jan 28 '18 at 13:06
talonmies
59.4k17128197
asked Jan 28 '18 at 12:34
PaulPaul
9021721
edited Jan 28 '18 at 13:06
talonmies
59.4k17128197
edited Jan 28 '18 at 13:06
talonmies
59.4k17128197
edited Jan 28 '18 at 13:06
talonmies
59.4k17128197
59.4k17128197
asked Jan 28 '18 at 12:34
PaulPaul
9021721
asked Jan 28 '18 at 12:34
PaulPaul
9021721
asked Jan 28 '18 at 12:34
PaulPaul
9021721
9021721
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
Oh.. Never mind I had to restart the machine for the drivers to reload.
answered Jan 28 '18 at 13:03
PaulPaul
9021721
1
I am using google colaboratory. I have restarted runtime many times but still facing the same issue.RuntimeError: cuda runtime error (2) : out of memory at
– Mayur Patel
Feb 14 '18 at 11:38
add a comment |
- sometimes the GPU memory is occupied by the previous operation to free up the memory the IDE kernel (spyder/spyder3) can be restarted or restart your PC.
- try the code with sudo command if you are using Ubuntu.
hope it works for you as well.
answered Nov 12 '18 at 10:36
KhanKhan
14215
add a comment |
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2 Answers
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2 Answers
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Oh.. Never mind I had to restart the machine for the drivers to reload.
answered Jan 28 '18 at 13:03
PaulPaul
9021721
1
I am using google colaboratory. I have restarted runtime many times but still facing the same issue.RuntimeError: cuda runtime error (2) : out of memory at
– Mayur Patel
Feb 14 '18 at 11:38
add a comment |
Oh.. Never mind I had to restart the machine for the drivers to reload.
answered Jan 28 '18 at 13:03
PaulPaul
9021721
1
I am using google colaboratory. I have restarted runtime many times but still facing the same issue.RuntimeError: cuda runtime error (2) : out of memory at
– Mayur Patel
Feb 14 '18 at 11:38
add a comment |
Oh.. Never mind I had to restart the machine for the drivers to reload.
answered Jan 28 '18 at 13:03
PaulPaul
9021721
Oh.. Never mind I had to restart the machine for the drivers to reload.
answered Jan 28 '18 at 13:03
PaulPaul
9021721
answered Jan 28 '18 at 13:03
PaulPaul
9021721
answered Jan 28 '18 at 13:03
PaulPaul
9021721
answered Jan 28 '18 at 13:03
PaulPaul
9021721
9021721
1
I am using google colaboratory. I have restarted runtime many times but still facing the same issue.RuntimeError: cuda runtime error (2) : out of memory at
– Mayur Patel
Feb 14 '18 at 11:38
add a comment |
1
I am using google colaboratory. I have restarted runtime many times but still facing the same issue.RuntimeError: cuda runtime error (2) : out of memory at
– Mayur Patel
Feb 14 '18 at 11:38
1
1
I am using google colaboratory. I have restarted runtime many times but still facing the same issue.
RuntimeError: cuda runtime error (2) : out of memory at– Mayur Patel
Feb 14 '18 at 11:38
I am using google colaboratory. I have restarted runtime many times but still facing the same issue.
RuntimeError: cuda runtime error (2) : out of memory at– Mayur Patel
Feb 14 '18 at 11:38
add a comment |
- sometimes the GPU memory is occupied by the previous operation to free up the memory the IDE kernel (spyder/spyder3) can be restarted or restart your PC.
- try the code with sudo command if you are using Ubuntu.
hope it works for you as well.
answered Nov 12 '18 at 10:36
KhanKhan
14215
add a comment |
- sometimes the GPU memory is occupied by the previous operation to free up the memory the IDE kernel (spyder/spyder3) can be restarted or restart your PC.
- try the code with sudo command if you are using Ubuntu.
hope it works for you as well.
answered Nov 12 '18 at 10:36
KhanKhan
14215
add a comment |
- sometimes the GPU memory is occupied by the previous operation to free up the memory the IDE kernel (spyder/spyder3) can be restarted or restart your PC.
- try the code with sudo command if you are using Ubuntu.
hope it works for you as well.
answered Nov 12 '18 at 10:36
KhanKhan
14215
- sometimes the GPU memory is occupied by the previous operation to free up the memory the IDE kernel (spyder/spyder3) can be restarted or restart your PC.
- try the code with sudo command if you are using Ubuntu.
hope it works for you as well.
answered Nov 12 '18 at 10:36
KhanKhan
14215
edited Nov 14 '18 at 6:28
answered Nov 12 '18 at 10:36
KhanKhan
14215
answered Nov 12 '18 at 10:36
KhanKhan
14215
answered Nov 12 '18 at 10:36
KhanKhan
14215
14215
add a comment |
add a comment |
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