No hardware working on Ubuntu 16.04 kernel 4.4.0-78-generic
up vote
3
down vote
favorite
On Ubuntu 16.04 I use kernel 4.4.0-78-generic for compatibility with Cuda 9 but since switching to this kernel my mouse, keyboard, wireless adapter and speakers don't work. I managed to switch to a newer mouse and keyboard temporarily which worked out the box but the speakers don't work still and I'm having to use an ethernet cable to access the internet.
I've tried for many hours to resolve each issue independently to no avail. My sense is it's somehow related to the kernel as when I do certain sudo modprobe
commands I get told things like FATAL: Module snd-hda-intel not found in directory /lib/modules/4.4.0-78-generic
but when I look in the 4.13.0-38-generic folders then the files are consistently there.
Any help appreciated, I'm at my wits end.
Thanks,
Mark
16.04 drivers sound kernel mouse
add a comment |Â
up vote
3
down vote
favorite
On Ubuntu 16.04 I use kernel 4.4.0-78-generic for compatibility with Cuda 9 but since switching to this kernel my mouse, keyboard, wireless adapter and speakers don't work. I managed to switch to a newer mouse and keyboard temporarily which worked out the box but the speakers don't work still and I'm having to use an ethernet cable to access the internet.
I've tried for many hours to resolve each issue independently to no avail. My sense is it's somehow related to the kernel as when I do certain sudo modprobe
commands I get told things like FATAL: Module snd-hda-intel not found in directory /lib/modules/4.4.0-78-generic
but when I look in the 4.13.0-38-generic folders then the files are consistently there.
Any help appreciated, I'm at my wits end.
Thanks,
Mark
16.04 drivers sound kernel mouse
Is there any reason why you have to go with Cuda 9.1? It used to be much easier to install regardless of the kernel version. You should be able to use whatever kernel you want. Recently I was using 9.1 with the nvidia-387 drivers, but they removed them from the graphics-drivers ppa, so I had to resort to older or newer drivers. By default you can install Cuda 7.5 from the Ubuntu PPAs without a problem and use the newest kernel and the newest nvidia drivers.
â Terrance
Apr 17 at 21:10
I'm not 100% but I think most of the software I'm after using (deep learning related) wants at least cuda 9 and I know my GPU (1080 ti) has issues on cuda 9 with kernel 4.13 so I wanted to follow the recommended versions. Alas, I'm spending more time battling issues than doing anything useful...
â maw501
Apr 17 at 21:18
I am going to write up an answer based on their instructions for the 9.1 cuda with the web info instead of downloading the .deb file. This way you should be able to use the newest kernel. It looks like it installs the 390.30 drivers.
â Terrance
Apr 17 at 22:07
Before running it try going back to the newest kernel.
â Terrance
Apr 17 at 22:15
add a comment |Â
up vote
3
down vote
favorite
up vote
3
down vote
favorite
On Ubuntu 16.04 I use kernel 4.4.0-78-generic for compatibility with Cuda 9 but since switching to this kernel my mouse, keyboard, wireless adapter and speakers don't work. I managed to switch to a newer mouse and keyboard temporarily which worked out the box but the speakers don't work still and I'm having to use an ethernet cable to access the internet.
I've tried for many hours to resolve each issue independently to no avail. My sense is it's somehow related to the kernel as when I do certain sudo modprobe
commands I get told things like FATAL: Module snd-hda-intel not found in directory /lib/modules/4.4.0-78-generic
but when I look in the 4.13.0-38-generic folders then the files are consistently there.
Any help appreciated, I'm at my wits end.
Thanks,
Mark
16.04 drivers sound kernel mouse
On Ubuntu 16.04 I use kernel 4.4.0-78-generic for compatibility with Cuda 9 but since switching to this kernel my mouse, keyboard, wireless adapter and speakers don't work. I managed to switch to a newer mouse and keyboard temporarily which worked out the box but the speakers don't work still and I'm having to use an ethernet cable to access the internet.
I've tried for many hours to resolve each issue independently to no avail. My sense is it's somehow related to the kernel as when I do certain sudo modprobe
commands I get told things like FATAL: Module snd-hda-intel not found in directory /lib/modules/4.4.0-78-generic
but when I look in the 4.13.0-38-generic folders then the files are consistently there.
Any help appreciated, I'm at my wits end.
Thanks,
Mark
16.04 drivers sound kernel mouse
16.04 drivers sound kernel mouse
asked Apr 17 at 20:40
maw501
164
164
Is there any reason why you have to go with Cuda 9.1? It used to be much easier to install regardless of the kernel version. You should be able to use whatever kernel you want. Recently I was using 9.1 with the nvidia-387 drivers, but they removed them from the graphics-drivers ppa, so I had to resort to older or newer drivers. By default you can install Cuda 7.5 from the Ubuntu PPAs without a problem and use the newest kernel and the newest nvidia drivers.
â Terrance
Apr 17 at 21:10
I'm not 100% but I think most of the software I'm after using (deep learning related) wants at least cuda 9 and I know my GPU (1080 ti) has issues on cuda 9 with kernel 4.13 so I wanted to follow the recommended versions. Alas, I'm spending more time battling issues than doing anything useful...
â maw501
Apr 17 at 21:18
I am going to write up an answer based on their instructions for the 9.1 cuda with the web info instead of downloading the .deb file. This way you should be able to use the newest kernel. It looks like it installs the 390.30 drivers.
â Terrance
Apr 17 at 22:07
Before running it try going back to the newest kernel.
â Terrance
Apr 17 at 22:15
add a comment |Â
Is there any reason why you have to go with Cuda 9.1? It used to be much easier to install regardless of the kernel version. You should be able to use whatever kernel you want. Recently I was using 9.1 with the nvidia-387 drivers, but they removed them from the graphics-drivers ppa, so I had to resort to older or newer drivers. By default you can install Cuda 7.5 from the Ubuntu PPAs without a problem and use the newest kernel and the newest nvidia drivers.
â Terrance
Apr 17 at 21:10
I'm not 100% but I think most of the software I'm after using (deep learning related) wants at least cuda 9 and I know my GPU (1080 ti) has issues on cuda 9 with kernel 4.13 so I wanted to follow the recommended versions. Alas, I'm spending more time battling issues than doing anything useful...
â maw501
Apr 17 at 21:18
I am going to write up an answer based on their instructions for the 9.1 cuda with the web info instead of downloading the .deb file. This way you should be able to use the newest kernel. It looks like it installs the 390.30 drivers.
â Terrance
Apr 17 at 22:07
Before running it try going back to the newest kernel.
â Terrance
Apr 17 at 22:15
Is there any reason why you have to go with Cuda 9.1? It used to be much easier to install regardless of the kernel version. You should be able to use whatever kernel you want. Recently I was using 9.1 with the nvidia-387 drivers, but they removed them from the graphics-drivers ppa, so I had to resort to older or newer drivers. By default you can install Cuda 7.5 from the Ubuntu PPAs without a problem and use the newest kernel and the newest nvidia drivers.
â Terrance
Apr 17 at 21:10
Is there any reason why you have to go with Cuda 9.1? It used to be much easier to install regardless of the kernel version. You should be able to use whatever kernel you want. Recently I was using 9.1 with the nvidia-387 drivers, but they removed them from the graphics-drivers ppa, so I had to resort to older or newer drivers. By default you can install Cuda 7.5 from the Ubuntu PPAs without a problem and use the newest kernel and the newest nvidia drivers.
â Terrance
Apr 17 at 21:10
I'm not 100% but I think most of the software I'm after using (deep learning related) wants at least cuda 9 and I know my GPU (1080 ti) has issues on cuda 9 with kernel 4.13 so I wanted to follow the recommended versions. Alas, I'm spending more time battling issues than doing anything useful...
â maw501
Apr 17 at 21:18
I'm not 100% but I think most of the software I'm after using (deep learning related) wants at least cuda 9 and I know my GPU (1080 ti) has issues on cuda 9 with kernel 4.13 so I wanted to follow the recommended versions. Alas, I'm spending more time battling issues than doing anything useful...
â maw501
Apr 17 at 21:18
I am going to write up an answer based on their instructions for the 9.1 cuda with the web info instead of downloading the .deb file. This way you should be able to use the newest kernel. It looks like it installs the 390.30 drivers.
â Terrance
Apr 17 at 22:07
I am going to write up an answer based on their instructions for the 9.1 cuda with the web info instead of downloading the .deb file. This way you should be able to use the newest kernel. It looks like it installs the 390.30 drivers.
â Terrance
Apr 17 at 22:07
Before running it try going back to the newest kernel.
â Terrance
Apr 17 at 22:15
Before running it try going back to the newest kernel.
â Terrance
Apr 17 at 22:15
add a comment |Â
1 Answer
1
active
oldest
votes
up vote
4
down vote
NOTE: I have only verified this works with 16.04 and 17.10. Just tried 18.04 and it does not work.
Try installing the Cuda by doing the repo installation instead of the .deb
installation.
First, remove any cuda PPAs that may be setup and also remove the nvidia-cuda-toolkit
if installed:
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt remove nvidia-cuda-toolkit
Then update the system:
sudo apt update
Install the key:
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
Add the repo:
16.04
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
17.10
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1710/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
Update the system again:
sudo apt update
Now you should be able to install the cuda-9-1:
sudo apt install cuda-9-1
There are CUDA 9.0 and CUDA 9.2 as well, and they are listed at the bottom.
It should be installing the nvidia-396 (396.26) drivers with it as those are what are listed in the repo. See: http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/
Verify that Cuda 9.1 was installed:
~$ ls /usr/local/cuda-9.1/
bin include libnvvp nvml samples targets
doc lib64 LICENSE nvvm share tools
extras libnsight nsightee_plugins README src version.txt
Now, add the following to your ~/.profile
for the PATH
and LD_LIBRARY
. You can use the command gedit ~/.profile
for editing:
# set PATH for cuda 9.1 installation
if [ -d "/usr/local/cuda-9.1/bin/" ]; then
export PATH=/usr/local/cuda-9.1/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Reboot your system.
sudo reboot
Once the system is up, you can verify the installation by typing in the following:
nvcc -V
You should see the following:
~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85
And you should see the 396.26
drivers installed:
~$ nvidia-smi
Thu May 17 07:38:54 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.26 Driver Version: 396.26 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 760 Off | 00000000:02:00.0 N/A | N/A |
| 49% 53C P0 N/A / N/A | 187MiB / 1999MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
EDIT 05/28/2018: The following steps work fine for Cuda 9.2
as well. Just change the installation to
sudo apt install cuda-9-2
and make sure you change the .profile
section to:
# set PATH for cuda 9.2 installation
if [ -d "/usr/local/cuda-9.2/bin/" ]; then
export PATH=/usr/local/cuda-9.2/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
EDIT 07/11/2018: The following steps work fine for Cuda 9.0
as well. Just change the installation to
sudo apt install cuda-9-0
and make sure you change the .profile
section to:
# set PATH for cuda 9.0 installation
if [ -d "/usr/local/cuda-9.0/bin/" ]; then
export PATH=/usr/local/cuda-9.0/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Hope this helps!
3
Terrance, thank you for this. I actually tried kernel 4.13 and it seemed to resolve the issue. Upon further reading I think this is because I actually installed cuda 9.0 (not 9.1)...which I think does have issues with 4.13 as per here: devtalk.nvidia.com/default/topic/1028802/â¦
â maw501
Apr 18 at 8:10
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
4
down vote
NOTE: I have only verified this works with 16.04 and 17.10. Just tried 18.04 and it does not work.
Try installing the Cuda by doing the repo installation instead of the .deb
installation.
First, remove any cuda PPAs that may be setup and also remove the nvidia-cuda-toolkit
if installed:
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt remove nvidia-cuda-toolkit
Then update the system:
sudo apt update
Install the key:
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
Add the repo:
16.04
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
17.10
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1710/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
Update the system again:
sudo apt update
Now you should be able to install the cuda-9-1:
sudo apt install cuda-9-1
There are CUDA 9.0 and CUDA 9.2 as well, and they are listed at the bottom.
It should be installing the nvidia-396 (396.26) drivers with it as those are what are listed in the repo. See: http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/
Verify that Cuda 9.1 was installed:
~$ ls /usr/local/cuda-9.1/
bin include libnvvp nvml samples targets
doc lib64 LICENSE nvvm share tools
extras libnsight nsightee_plugins README src version.txt
Now, add the following to your ~/.profile
for the PATH
and LD_LIBRARY
. You can use the command gedit ~/.profile
for editing:
# set PATH for cuda 9.1 installation
if [ -d "/usr/local/cuda-9.1/bin/" ]; then
export PATH=/usr/local/cuda-9.1/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Reboot your system.
sudo reboot
Once the system is up, you can verify the installation by typing in the following:
nvcc -V
You should see the following:
~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85
And you should see the 396.26
drivers installed:
~$ nvidia-smi
Thu May 17 07:38:54 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.26 Driver Version: 396.26 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 760 Off | 00000000:02:00.0 N/A | N/A |
| 49% 53C P0 N/A / N/A | 187MiB / 1999MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
EDIT 05/28/2018: The following steps work fine for Cuda 9.2
as well. Just change the installation to
sudo apt install cuda-9-2
and make sure you change the .profile
section to:
# set PATH for cuda 9.2 installation
if [ -d "/usr/local/cuda-9.2/bin/" ]; then
export PATH=/usr/local/cuda-9.2/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
EDIT 07/11/2018: The following steps work fine for Cuda 9.0
as well. Just change the installation to
sudo apt install cuda-9-0
and make sure you change the .profile
section to:
# set PATH for cuda 9.0 installation
if [ -d "/usr/local/cuda-9.0/bin/" ]; then
export PATH=/usr/local/cuda-9.0/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Hope this helps!
3
Terrance, thank you for this. I actually tried kernel 4.13 and it seemed to resolve the issue. Upon further reading I think this is because I actually installed cuda 9.0 (not 9.1)...which I think does have issues with 4.13 as per here: devtalk.nvidia.com/default/topic/1028802/â¦
â maw501
Apr 18 at 8:10
add a comment |Â
up vote
4
down vote
NOTE: I have only verified this works with 16.04 and 17.10. Just tried 18.04 and it does not work.
Try installing the Cuda by doing the repo installation instead of the .deb
installation.
First, remove any cuda PPAs that may be setup and also remove the nvidia-cuda-toolkit
if installed:
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt remove nvidia-cuda-toolkit
Then update the system:
sudo apt update
Install the key:
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
Add the repo:
16.04
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
17.10
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1710/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
Update the system again:
sudo apt update
Now you should be able to install the cuda-9-1:
sudo apt install cuda-9-1
There are CUDA 9.0 and CUDA 9.2 as well, and they are listed at the bottom.
It should be installing the nvidia-396 (396.26) drivers with it as those are what are listed in the repo. See: http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/
Verify that Cuda 9.1 was installed:
~$ ls /usr/local/cuda-9.1/
bin include libnvvp nvml samples targets
doc lib64 LICENSE nvvm share tools
extras libnsight nsightee_plugins README src version.txt
Now, add the following to your ~/.profile
for the PATH
and LD_LIBRARY
. You can use the command gedit ~/.profile
for editing:
# set PATH for cuda 9.1 installation
if [ -d "/usr/local/cuda-9.1/bin/" ]; then
export PATH=/usr/local/cuda-9.1/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Reboot your system.
sudo reboot
Once the system is up, you can verify the installation by typing in the following:
nvcc -V
You should see the following:
~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85
And you should see the 396.26
drivers installed:
~$ nvidia-smi
Thu May 17 07:38:54 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.26 Driver Version: 396.26 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 760 Off | 00000000:02:00.0 N/A | N/A |
| 49% 53C P0 N/A / N/A | 187MiB / 1999MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
EDIT 05/28/2018: The following steps work fine for Cuda 9.2
as well. Just change the installation to
sudo apt install cuda-9-2
and make sure you change the .profile
section to:
# set PATH for cuda 9.2 installation
if [ -d "/usr/local/cuda-9.2/bin/" ]; then
export PATH=/usr/local/cuda-9.2/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
EDIT 07/11/2018: The following steps work fine for Cuda 9.0
as well. Just change the installation to
sudo apt install cuda-9-0
and make sure you change the .profile
section to:
# set PATH for cuda 9.0 installation
if [ -d "/usr/local/cuda-9.0/bin/" ]; then
export PATH=/usr/local/cuda-9.0/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Hope this helps!
3
Terrance, thank you for this. I actually tried kernel 4.13 and it seemed to resolve the issue. Upon further reading I think this is because I actually installed cuda 9.0 (not 9.1)...which I think does have issues with 4.13 as per here: devtalk.nvidia.com/default/topic/1028802/â¦
â maw501
Apr 18 at 8:10
add a comment |Â
up vote
4
down vote
up vote
4
down vote
NOTE: I have only verified this works with 16.04 and 17.10. Just tried 18.04 and it does not work.
Try installing the Cuda by doing the repo installation instead of the .deb
installation.
First, remove any cuda PPAs that may be setup and also remove the nvidia-cuda-toolkit
if installed:
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt remove nvidia-cuda-toolkit
Then update the system:
sudo apt update
Install the key:
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
Add the repo:
16.04
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
17.10
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1710/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
Update the system again:
sudo apt update
Now you should be able to install the cuda-9-1:
sudo apt install cuda-9-1
There are CUDA 9.0 and CUDA 9.2 as well, and they are listed at the bottom.
It should be installing the nvidia-396 (396.26) drivers with it as those are what are listed in the repo. See: http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/
Verify that Cuda 9.1 was installed:
~$ ls /usr/local/cuda-9.1/
bin include libnvvp nvml samples targets
doc lib64 LICENSE nvvm share tools
extras libnsight nsightee_plugins README src version.txt
Now, add the following to your ~/.profile
for the PATH
and LD_LIBRARY
. You can use the command gedit ~/.profile
for editing:
# set PATH for cuda 9.1 installation
if [ -d "/usr/local/cuda-9.1/bin/" ]; then
export PATH=/usr/local/cuda-9.1/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Reboot your system.
sudo reboot
Once the system is up, you can verify the installation by typing in the following:
nvcc -V
You should see the following:
~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85
And you should see the 396.26
drivers installed:
~$ nvidia-smi
Thu May 17 07:38:54 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.26 Driver Version: 396.26 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 760 Off | 00000000:02:00.0 N/A | N/A |
| 49% 53C P0 N/A / N/A | 187MiB / 1999MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
EDIT 05/28/2018: The following steps work fine for Cuda 9.2
as well. Just change the installation to
sudo apt install cuda-9-2
and make sure you change the .profile
section to:
# set PATH for cuda 9.2 installation
if [ -d "/usr/local/cuda-9.2/bin/" ]; then
export PATH=/usr/local/cuda-9.2/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
EDIT 07/11/2018: The following steps work fine for Cuda 9.0
as well. Just change the installation to
sudo apt install cuda-9-0
and make sure you change the .profile
section to:
# set PATH for cuda 9.0 installation
if [ -d "/usr/local/cuda-9.0/bin/" ]; then
export PATH=/usr/local/cuda-9.0/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Hope this helps!
NOTE: I have only verified this works with 16.04 and 17.10. Just tried 18.04 and it does not work.
Try installing the Cuda by doing the repo installation instead of the .deb
installation.
First, remove any cuda PPAs that may be setup and also remove the nvidia-cuda-toolkit
if installed:
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt remove nvidia-cuda-toolkit
Then update the system:
sudo apt update
Install the key:
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
Add the repo:
16.04
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
17.10
sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1710/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
Update the system again:
sudo apt update
Now you should be able to install the cuda-9-1:
sudo apt install cuda-9-1
There are CUDA 9.0 and CUDA 9.2 as well, and they are listed at the bottom.
It should be installing the nvidia-396 (396.26) drivers with it as those are what are listed in the repo. See: http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/
Verify that Cuda 9.1 was installed:
~$ ls /usr/local/cuda-9.1/
bin include libnvvp nvml samples targets
doc lib64 LICENSE nvvm share tools
extras libnsight nsightee_plugins README src version.txt
Now, add the following to your ~/.profile
for the PATH
and LD_LIBRARY
. You can use the command gedit ~/.profile
for editing:
# set PATH for cuda 9.1 installation
if [ -d "/usr/local/cuda-9.1/bin/" ]; then
export PATH=/usr/local/cuda-9.1/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Reboot your system.
sudo reboot
Once the system is up, you can verify the installation by typing in the following:
nvcc -V
You should see the following:
~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85
And you should see the 396.26
drivers installed:
~$ nvidia-smi
Thu May 17 07:38:54 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.26 Driver Version: 396.26 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 760 Off | 00000000:02:00.0 N/A | N/A |
| 49% 53C P0 N/A / N/A | 187MiB / 1999MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
EDIT 05/28/2018: The following steps work fine for Cuda 9.2
as well. Just change the installation to
sudo apt install cuda-9-2
and make sure you change the .profile
section to:
# set PATH for cuda 9.2 installation
if [ -d "/usr/local/cuda-9.2/bin/" ]; then
export PATH=/usr/local/cuda-9.2/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
EDIT 07/11/2018: The following steps work fine for Cuda 9.0
as well. Just change the installation to
sudo apt install cuda-9-0
and make sure you change the .profile
section to:
# set PATH for cuda 9.0 installation
if [ -d "/usr/local/cuda-9.0/bin/" ]; then
export PATH=/usr/local/cuda-9.0/bin$PATH:+:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64$LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH
fi
Hope this helps!
edited Jul 11 at 15:14
answered Apr 17 at 22:15
Terrance
17.3k23784
17.3k23784
3
Terrance, thank you for this. I actually tried kernel 4.13 and it seemed to resolve the issue. Upon further reading I think this is because I actually installed cuda 9.0 (not 9.1)...which I think does have issues with 4.13 as per here: devtalk.nvidia.com/default/topic/1028802/â¦
â maw501
Apr 18 at 8:10
add a comment |Â
3
Terrance, thank you for this. I actually tried kernel 4.13 and it seemed to resolve the issue. Upon further reading I think this is because I actually installed cuda 9.0 (not 9.1)...which I think does have issues with 4.13 as per here: devtalk.nvidia.com/default/topic/1028802/â¦
â maw501
Apr 18 at 8:10
3
3
Terrance, thank you for this. I actually tried kernel 4.13 and it seemed to resolve the issue. Upon further reading I think this is because I actually installed cuda 9.0 (not 9.1)...which I think does have issues with 4.13 as per here: devtalk.nvidia.com/default/topic/1028802/â¦
â maw501
Apr 18 at 8:10
Terrance, thank you for this. I actually tried kernel 4.13 and it seemed to resolve the issue. Upon further reading I think this is because I actually installed cuda 9.0 (not 9.1)...which I think does have issues with 4.13 as per here: devtalk.nvidia.com/default/topic/1028802/â¦
â maw501
Apr 18 at 8:10
add a comment |Â
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
var $window = $(window),
onScroll = function(e)
var $elem = $('.new-login-left'),
docViewTop = $window.scrollTop(),
docViewBottom = docViewTop + $window.height(),
elemTop = $elem.offset().top,
elemBottom = elemTop + $elem.height();
if ((docViewTop elemBottom))
StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2faskubuntu.com%2fquestions%2f1025931%2fno-hardware-working-on-ubuntu-16-04-kernel-4-4-0-78-generic%23new-answer', 'question_page');
);
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
var $window = $(window),
onScroll = function(e)
var $elem = $('.new-login-left'),
docViewTop = $window.scrollTop(),
docViewBottom = docViewTop + $window.height(),
elemTop = $elem.offset().top,
elemBottom = elemTop + $elem.height();
if ((docViewTop elemBottom))
StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
var $window = $(window),
onScroll = function(e)
var $elem = $('.new-login-left'),
docViewTop = $window.scrollTop(),
docViewBottom = docViewTop + $window.height(),
elemTop = $elem.offset().top,
elemBottom = elemTop + $elem.height();
if ((docViewTop elemBottom))
StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
var $window = $(window),
onScroll = function(e)
var $elem = $('.new-login-left'),
docViewTop = $window.scrollTop(),
docViewBottom = docViewTop + $window.height(),
elemTop = $elem.offset().top,
elemBottom = elemTop + $elem.height();
if ((docViewTop elemBottom))
StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Is there any reason why you have to go with Cuda 9.1? It used to be much easier to install regardless of the kernel version. You should be able to use whatever kernel you want. Recently I was using 9.1 with the nvidia-387 drivers, but they removed them from the graphics-drivers ppa, so I had to resort to older or newer drivers. By default you can install Cuda 7.5 from the Ubuntu PPAs without a problem and use the newest kernel and the newest nvidia drivers.
â Terrance
Apr 17 at 21:10
I'm not 100% but I think most of the software I'm after using (deep learning related) wants at least cuda 9 and I know my GPU (1080 ti) has issues on cuda 9 with kernel 4.13 so I wanted to follow the recommended versions. Alas, I'm spending more time battling issues than doing anything useful...
â maw501
Apr 17 at 21:18
I am going to write up an answer based on their instructions for the 9.1 cuda with the web info instead of downloading the .deb file. This way you should be able to use the newest kernel. It looks like it installs the 390.30 drivers.
â Terrance
Apr 17 at 22:07
Before running it try going back to the newest kernel.
â Terrance
Apr 17 at 22:15