Different CUDA versions shown by nvcc and NVIDIA-smi
I am very confused by the different CUDA versions shown by running which nvcc
and nvidia-smi
.
I have both cuda9.2 and cuda10 installed on my ubuntu 16.04. Now I set the PATH to point to cuda9.2. So when I run :
$ which nvcc
/usr/local/cuda-9.2/bin/nvcc
However, when I run
$ nvidia-smi
Wed Nov 21 19:41:32 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.72 Driver Version: 410.72 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| 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 106... Off | 00000000:01:00.0 Off | N/A |
| N/A 53C P0 26W / N/A | 379MiB / 6078MiB | 2% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1324 G /usr/lib/xorg/Xorg 225MiB |
| 0 2844 G compiz 146MiB |
| 0 15550 G /usr/lib/firefox/firefox 1MiB |
| 0 19992 G /usr/lib/firefox/firefox 1MiB |
| 0 23605 G /usr/lib/firefox/firefox 1MiB |
So am I using cuda9.2 as which nvcc
suggests, or am I using cuda10 as nvidia-smi
suggests?
I saw this answer but it does not provide direct answer to the confusion, it just asks us to reinstall the cudatoolkit, which I already did.
cuda
add a comment |
I am very confused by the different CUDA versions shown by running which nvcc
and nvidia-smi
.
I have both cuda9.2 and cuda10 installed on my ubuntu 16.04. Now I set the PATH to point to cuda9.2. So when I run :
$ which nvcc
/usr/local/cuda-9.2/bin/nvcc
However, when I run
$ nvidia-smi
Wed Nov 21 19:41:32 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.72 Driver Version: 410.72 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| 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 106... Off | 00000000:01:00.0 Off | N/A |
| N/A 53C P0 26W / N/A | 379MiB / 6078MiB | 2% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1324 G /usr/lib/xorg/Xorg 225MiB |
| 0 2844 G compiz 146MiB |
| 0 15550 G /usr/lib/firefox/firefox 1MiB |
| 0 19992 G /usr/lib/firefox/firefox 1MiB |
| 0 23605 G /usr/lib/firefox/firefox 1MiB |
So am I using cuda9.2 as which nvcc
suggests, or am I using cuda10 as nvidia-smi
suggests?
I saw this answer but it does not provide direct answer to the confusion, it just asks us to reinstall the cudatoolkit, which I already did.
cuda
2
I think I've seen this exact question come up multiple times over the last couple days. But I can't seem to find a duplicate now. The answer is: nvidia-smi shows you the CUDA version that your driver supports. You have one of the recent 410.x drivers installed which support CUDA 10. The version the driver supports has nothing to do with the version you compile and link your program against. A driver that supports CUDA 10.0 will also be able to run an application that was built for CUDA 9.2…
– Michael Kenzel
Nov 22 '18 at 1:12
@MichaelKenzel I see. Thanks for the clarification! Guess I'm using CUDA9.2 then..
– yuqli
Nov 22 '18 at 1:39
A similar question is here. @MichaelKenzel if you want to add an answer I would upvote.
– Robert Crovella
Nov 24 '18 at 17:37
@RobertCrovella yes, that was the one I was looking for. I only learned the answer from your comment there, so if anyone deserves an upvote then it is you yourself ;)
– Michael Kenzel
Nov 24 '18 at 18:13
add a comment |
I am very confused by the different CUDA versions shown by running which nvcc
and nvidia-smi
.
I have both cuda9.2 and cuda10 installed on my ubuntu 16.04. Now I set the PATH to point to cuda9.2. So when I run :
$ which nvcc
/usr/local/cuda-9.2/bin/nvcc
However, when I run
$ nvidia-smi
Wed Nov 21 19:41:32 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.72 Driver Version: 410.72 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| 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 106... Off | 00000000:01:00.0 Off | N/A |
| N/A 53C P0 26W / N/A | 379MiB / 6078MiB | 2% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1324 G /usr/lib/xorg/Xorg 225MiB |
| 0 2844 G compiz 146MiB |
| 0 15550 G /usr/lib/firefox/firefox 1MiB |
| 0 19992 G /usr/lib/firefox/firefox 1MiB |
| 0 23605 G /usr/lib/firefox/firefox 1MiB |
So am I using cuda9.2 as which nvcc
suggests, or am I using cuda10 as nvidia-smi
suggests?
I saw this answer but it does not provide direct answer to the confusion, it just asks us to reinstall the cudatoolkit, which I already did.
cuda
I am very confused by the different CUDA versions shown by running which nvcc
and nvidia-smi
.
I have both cuda9.2 and cuda10 installed on my ubuntu 16.04. Now I set the PATH to point to cuda9.2. So when I run :
$ which nvcc
/usr/local/cuda-9.2/bin/nvcc
However, when I run
$ nvidia-smi
Wed Nov 21 19:41:32 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.72 Driver Version: 410.72 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| 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 106... Off | 00000000:01:00.0 Off | N/A |
| N/A 53C P0 26W / N/A | 379MiB / 6078MiB | 2% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1324 G /usr/lib/xorg/Xorg 225MiB |
| 0 2844 G compiz 146MiB |
| 0 15550 G /usr/lib/firefox/firefox 1MiB |
| 0 19992 G /usr/lib/firefox/firefox 1MiB |
| 0 23605 G /usr/lib/firefox/firefox 1MiB |
So am I using cuda9.2 as which nvcc
suggests, or am I using cuda10 as nvidia-smi
suggests?
I saw this answer but it does not provide direct answer to the confusion, it just asks us to reinstall the cudatoolkit, which I already did.
cuda
cuda
edited Nov 22 '18 at 0:56
talonmies
59.2k17128197
59.2k17128197
asked Nov 22 '18 at 0:44
yuqliyuqli
1511515
1511515
2
I think I've seen this exact question come up multiple times over the last couple days. But I can't seem to find a duplicate now. The answer is: nvidia-smi shows you the CUDA version that your driver supports. You have one of the recent 410.x drivers installed which support CUDA 10. The version the driver supports has nothing to do with the version you compile and link your program against. A driver that supports CUDA 10.0 will also be able to run an application that was built for CUDA 9.2…
– Michael Kenzel
Nov 22 '18 at 1:12
@MichaelKenzel I see. Thanks for the clarification! Guess I'm using CUDA9.2 then..
– yuqli
Nov 22 '18 at 1:39
A similar question is here. @MichaelKenzel if you want to add an answer I would upvote.
– Robert Crovella
Nov 24 '18 at 17:37
@RobertCrovella yes, that was the one I was looking for. I only learned the answer from your comment there, so if anyone deserves an upvote then it is you yourself ;)
– Michael Kenzel
Nov 24 '18 at 18:13
add a comment |
2
I think I've seen this exact question come up multiple times over the last couple days. But I can't seem to find a duplicate now. The answer is: nvidia-smi shows you the CUDA version that your driver supports. You have one of the recent 410.x drivers installed which support CUDA 10. The version the driver supports has nothing to do with the version you compile and link your program against. A driver that supports CUDA 10.0 will also be able to run an application that was built for CUDA 9.2…
– Michael Kenzel
Nov 22 '18 at 1:12
@MichaelKenzel I see. Thanks for the clarification! Guess I'm using CUDA9.2 then..
– yuqli
Nov 22 '18 at 1:39
A similar question is here. @MichaelKenzel if you want to add an answer I would upvote.
– Robert Crovella
Nov 24 '18 at 17:37
@RobertCrovella yes, that was the one I was looking for. I only learned the answer from your comment there, so if anyone deserves an upvote then it is you yourself ;)
– Michael Kenzel
Nov 24 '18 at 18:13
2
2
I think I've seen this exact question come up multiple times over the last couple days. But I can't seem to find a duplicate now. The answer is: nvidia-smi shows you the CUDA version that your driver supports. You have one of the recent 410.x drivers installed which support CUDA 10. The version the driver supports has nothing to do with the version you compile and link your program against. A driver that supports CUDA 10.0 will also be able to run an application that was built for CUDA 9.2…
– Michael Kenzel
Nov 22 '18 at 1:12
I think I've seen this exact question come up multiple times over the last couple days. But I can't seem to find a duplicate now. The answer is: nvidia-smi shows you the CUDA version that your driver supports. You have one of the recent 410.x drivers installed which support CUDA 10. The version the driver supports has nothing to do with the version you compile and link your program against. A driver that supports CUDA 10.0 will also be able to run an application that was built for CUDA 9.2…
– Michael Kenzel
Nov 22 '18 at 1:12
@MichaelKenzel I see. Thanks for the clarification! Guess I'm using CUDA9.2 then..
– yuqli
Nov 22 '18 at 1:39
@MichaelKenzel I see. Thanks for the clarification! Guess I'm using CUDA9.2 then..
– yuqli
Nov 22 '18 at 1:39
A similar question is here. @MichaelKenzel if you want to add an answer I would upvote.
– Robert Crovella
Nov 24 '18 at 17:37
A similar question is here. @MichaelKenzel if you want to add an answer I would upvote.
– Robert Crovella
Nov 24 '18 at 17:37
@RobertCrovella yes, that was the one I was looking for. I only learned the answer from your comment there, so if anyone deserves an upvote then it is you yourself ;)
– Michael Kenzel
Nov 24 '18 at 18:13
@RobertCrovella yes, that was the one I was looking for. I only learned the answer from your comment there, so if anyone deserves an upvote then it is you yourself ;)
– Michael Kenzel
Nov 24 '18 at 18:13
add a comment |
1 Answer
1
active
oldest
votes
CUDA has 2 primary APIs, the runtime and the driver API. Both have a corresponding version (e.g. 8.0, 9.0, etc.)
The necessary support for the driver API (e.g. libcuda.so on linux) is installed by the GPU driver installer.
The necessary support for the runtime API (e.g. libcudart.so on linux, and also nvcc
) is installed by the CUDA toolkit installer (which may also have a GPU driver installer bundled in it).
In any event, the (installed) driver API version may not always match the (installed) runtime API version, especially if you install a GPU driver independently from installing CUDA (i.e. the CUDA toolkit).
The nvidia-smi
tool gets installed by the GPU driver installer, and generally has the GPU driver in view, not anything installed by the CUDA toolkit installer.
Recently (somewhere between 410.48 and 410.73 driver version on linux) the powers-that-be at NVIDIA decided to add reporting of the CUDA Driver API version installed by the driver, in the output from nvidia-smi
.
This has no connection to the installed CUDA runtime version.
nvcc
, the CUDA compiler-driver tool that is installed with the CUDA toolkit, will always report the CUDA runtime version that it was built to recognize. It doesn't know anything about what driver version is installed, or even if a GPU driver is installed.
Therefore, by design, these two numbers don't necessarily match, as they are reflective of two different things.
add a comment |
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CUDA has 2 primary APIs, the runtime and the driver API. Both have a corresponding version (e.g. 8.0, 9.0, etc.)
The necessary support for the driver API (e.g. libcuda.so on linux) is installed by the GPU driver installer.
The necessary support for the runtime API (e.g. libcudart.so on linux, and also nvcc
) is installed by the CUDA toolkit installer (which may also have a GPU driver installer bundled in it).
In any event, the (installed) driver API version may not always match the (installed) runtime API version, especially if you install a GPU driver independently from installing CUDA (i.e. the CUDA toolkit).
The nvidia-smi
tool gets installed by the GPU driver installer, and generally has the GPU driver in view, not anything installed by the CUDA toolkit installer.
Recently (somewhere between 410.48 and 410.73 driver version on linux) the powers-that-be at NVIDIA decided to add reporting of the CUDA Driver API version installed by the driver, in the output from nvidia-smi
.
This has no connection to the installed CUDA runtime version.
nvcc
, the CUDA compiler-driver tool that is installed with the CUDA toolkit, will always report the CUDA runtime version that it was built to recognize. It doesn't know anything about what driver version is installed, or even if a GPU driver is installed.
Therefore, by design, these two numbers don't necessarily match, as they are reflective of two different things.
add a comment |
CUDA has 2 primary APIs, the runtime and the driver API. Both have a corresponding version (e.g. 8.0, 9.0, etc.)
The necessary support for the driver API (e.g. libcuda.so on linux) is installed by the GPU driver installer.
The necessary support for the runtime API (e.g. libcudart.so on linux, and also nvcc
) is installed by the CUDA toolkit installer (which may also have a GPU driver installer bundled in it).
In any event, the (installed) driver API version may not always match the (installed) runtime API version, especially if you install a GPU driver independently from installing CUDA (i.e. the CUDA toolkit).
The nvidia-smi
tool gets installed by the GPU driver installer, and generally has the GPU driver in view, not anything installed by the CUDA toolkit installer.
Recently (somewhere between 410.48 and 410.73 driver version on linux) the powers-that-be at NVIDIA decided to add reporting of the CUDA Driver API version installed by the driver, in the output from nvidia-smi
.
This has no connection to the installed CUDA runtime version.
nvcc
, the CUDA compiler-driver tool that is installed with the CUDA toolkit, will always report the CUDA runtime version that it was built to recognize. It doesn't know anything about what driver version is installed, or even if a GPU driver is installed.
Therefore, by design, these two numbers don't necessarily match, as they are reflective of two different things.
add a comment |
CUDA has 2 primary APIs, the runtime and the driver API. Both have a corresponding version (e.g. 8.0, 9.0, etc.)
The necessary support for the driver API (e.g. libcuda.so on linux) is installed by the GPU driver installer.
The necessary support for the runtime API (e.g. libcudart.so on linux, and also nvcc
) is installed by the CUDA toolkit installer (which may also have a GPU driver installer bundled in it).
In any event, the (installed) driver API version may not always match the (installed) runtime API version, especially if you install a GPU driver independently from installing CUDA (i.e. the CUDA toolkit).
The nvidia-smi
tool gets installed by the GPU driver installer, and generally has the GPU driver in view, not anything installed by the CUDA toolkit installer.
Recently (somewhere between 410.48 and 410.73 driver version on linux) the powers-that-be at NVIDIA decided to add reporting of the CUDA Driver API version installed by the driver, in the output from nvidia-smi
.
This has no connection to the installed CUDA runtime version.
nvcc
, the CUDA compiler-driver tool that is installed with the CUDA toolkit, will always report the CUDA runtime version that it was built to recognize. It doesn't know anything about what driver version is installed, or even if a GPU driver is installed.
Therefore, by design, these two numbers don't necessarily match, as they are reflective of two different things.
CUDA has 2 primary APIs, the runtime and the driver API. Both have a corresponding version (e.g. 8.0, 9.0, etc.)
The necessary support for the driver API (e.g. libcuda.so on linux) is installed by the GPU driver installer.
The necessary support for the runtime API (e.g. libcudart.so on linux, and also nvcc
) is installed by the CUDA toolkit installer (which may also have a GPU driver installer bundled in it).
In any event, the (installed) driver API version may not always match the (installed) runtime API version, especially if you install a GPU driver independently from installing CUDA (i.e. the CUDA toolkit).
The nvidia-smi
tool gets installed by the GPU driver installer, and generally has the GPU driver in view, not anything installed by the CUDA toolkit installer.
Recently (somewhere between 410.48 and 410.73 driver version on linux) the powers-that-be at NVIDIA decided to add reporting of the CUDA Driver API version installed by the driver, in the output from nvidia-smi
.
This has no connection to the installed CUDA runtime version.
nvcc
, the CUDA compiler-driver tool that is installed with the CUDA toolkit, will always report the CUDA runtime version that it was built to recognize. It doesn't know anything about what driver version is installed, or even if a GPU driver is installed.
Therefore, by design, these two numbers don't necessarily match, as they are reflective of two different things.
answered Nov 27 '18 at 16:57
community wiki
Robert Crovella
add a comment |
add a comment |
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2
I think I've seen this exact question come up multiple times over the last couple days. But I can't seem to find a duplicate now. The answer is: nvidia-smi shows you the CUDA version that your driver supports. You have one of the recent 410.x drivers installed which support CUDA 10. The version the driver supports has nothing to do with the version you compile and link your program against. A driver that supports CUDA 10.0 will also be able to run an application that was built for CUDA 9.2…
– Michael Kenzel
Nov 22 '18 at 1:12
@MichaelKenzel I see. Thanks for the clarification! Guess I'm using CUDA9.2 then..
– yuqli
Nov 22 '18 at 1:39
A similar question is here. @MichaelKenzel if you want to add an answer I would upvote.
– Robert Crovella
Nov 24 '18 at 17:37
@RobertCrovella yes, that was the one I was looking for. I only learned the answer from your comment there, so if anyone deserves an upvote then it is you yourself ;)
– Michael Kenzel
Nov 24 '18 at 18:13