Unable to locate package cuda-command-line-tools

[Queequeg92]

System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow):No
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):Linux Ubuntu 16.04
• TensorFlow installed from (source or binary):binary
• TensorFlow version (use command below):r1.5
• Python version: 3.6
• Bazel version (if compiling from source):
• GCC/Compiler version (if compiling from source):
• CUDA/cuDNN version:9.0
• GPU model and memory:
• Exact command to reproduce:

Describe the problem

In the official installing guide of r1.5, the libcupti-dev library is required to run tensorflow with GPU support. When issue the following command line for CUDA Toolkit >= 8.0:
$ sudo apt-get install cuda-command-line-tools
I got this error:
$ E: Unable to locate package cuda-command-line-tools
It can't be solved after updating source list.
I have tried on my desktop and a VM instance on Google Cloud Platform, both with Linux Ubuntu 16.04.

Source code / logs

[PatWie]

As part of an answer to your email @Queequeg92
I found it important to explicitly set the ENV vars to the correct version like

export CUPIT_LIB_PATH=${OPT_PATH}/cuda/toolkit_9.0/cuda/extras/CUPTI/lib64
export LD_LIBRARY_PATH=${CUPIT_LIB_PATH}:$LD_LIBRARY_PATH

(same for Toolkit 8.0)
in my .bashrc. Note there might be some old libcupti.so* in /usr/lib/x86_64-linux-gnu/libcupti.so:

user@host $ ll ${OPT_PATH}/cuda/toolkit_9.0/cuda/extras/CUPTI/lib64
libcupti.so
libcupti.so.9.0
libcupti.so.9.0.176*
user@host $ locate libcupti.so
/usr/lib/x86_64-linux-gnu/libcupti.so
/usr/lib/x86_64-linux-gnu/libcupti.so.7.5
/usr/lib/x86_64-linux-gnu/libcupti.so.7.5.18

The correct package for apt-get would be sudo apt-get install libcupti-dev

[cyrilzh]

Tensorflow's Linux installation guide is misleading. Try a search and here is the result.

$ sudo apt-cache search cuda-command-line-tool
cuda-command-line-tools-8-0 - CUDA command-line tools
cuda-command-line-tools-9-0 - CUDA command-line tools
cuda-command-line-tools-9-1 - CUDA command-line tools

What you should run is something like "sudo apt install cuda-command-line-tools-9-1"

[tensorflowbutler]

Nagging Awaiting Response: It has been 14 days with no activityand the awaiting response label was assigned. Is this still an issue?

[manbharae]

@tensorflowbutler yup still an issue. @cyrilzh solution works. tensorflow documentation here has to be updated : sudo apt-cache search cuda-command-line-tools-9-0

[AIGyan]

Hello Team,
I am still getting the same error after using @cyrilzh solution.
$sudo apt-cache search cuda-command-line-tool
$ sudo apt install cuda-command-line-tools-9-1
Reading package lists... Done
Building dependency tree
Reading state information... Done
E: Unable to locate package cuda-command-line-tools-9-1

[bjenkinsgit]

I am in the same boat as AIGyan. Unable to locate command line tools package.

[manbharae]

@AIGyan @bjenkinsgit
https://www.tensorflow.org/install/install_linux is a some parts accurate some parts misleading and someparts inaccurate.

Like @cyrilzh suggested do 👍
:~$ sudo apt-cache search cuda-command-line-tool
[sudo] password for manbharae:
cuda-command-line-tools-8-0 - CUDA command-line tools
cuda-command-line-tools-9-0 - CUDA command-line tools
cuda-command-line-tools-9-1 - CUDA command-line tools

but don't do use cuda-command-line-tools-9-1,
Tensorflow supports only 9-0 at the moment.

uninstall cuda 9-1 and install cuda-9-0.
then install cuda-command-line-tools-9-0

hope it helps.
This worked for me.

[lejafar]

@bjenkinsgit @AIGyan I'm using Ubuntu 16.04 and I resolved the issue by downloading the package from http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/

curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-9-0_9.0.176-1_amd64.deb
dpkg -i ./cuda-9-0_9.0.176-1_amd64.deb
apt-get update
apt-get install cuda-9-0

This will also install cuda-command-line-tools-9-0

[themightyoarfish]

@lejafar I had installed Cuda 9.0 from Nvidia + cudnn 7 and when I tried your suggestion...

sudo dpkg -i ./cuda-9-0_9.0.176-1_amd64.deb
Selecting previously unselected package cuda-9-0.
(Reading database ... 127348 files and directories currently installed.)
Preparing to unpack ./cuda-9-0_9.0.176-1_amd64.deb ...
Unpacking cuda-9-0 (9.0.176-1) ...
dpkg: dependency problems prevent configuration of cuda-9-0:
 cuda-9-0 depends on cuda-toolkit-9-0 (>= 9.0.176); however:
  Package cuda-toolkit-9-0 is not installed.
 cuda-9-0 depends on cuda-runtime-9-0 (>= 9.0.176); however:
  Package cuda-runtime-9-0 is not installed.
 cuda-9-0 depends on cuda-demo-suite-9-0 (>= 9.0.176); however:
  Package cuda-demo-suite-9-0 is not installed.

dpkg: error processing package cuda-9-0 (--install):
 dependency problems - leaving unconfigured
Errors were encountered while processing:
 cuda-9-0

[bjenkinsgit]

In the end I downloaded the Tensorflow 9.1 source, installed bazel and other tools and compiled the source for my GPU. I now have Tensorflow 9.1, cudnn 7.0.5 running on Ubuntu 17.10.

[zxr12748]

I tried
$ sudo apt-cache search cuda-command-line-tool
but got nothing.
I have cuda 9.0,cudnn7.05 running on Ubuntu 16.04.
Is there any other solution?
THX:-D

[Netroman]

@zxr12748

I tried
$ sudo apt-cache search cuda-command-line-tool
but got nothing.

Same here... Did you perhaps find a solution?

[max0x]

Based on @lejafar 's suggestion, I downloaded http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-command-line-tools-9-1_9.1.85-1_amd64.deb and then ran

sudo dpkg -i cuda-command-line-tools-9-1_9.1.85-1_amd64.deb

However, it will remind you to install some dependency packages first, such as cuda-nvprof-9-1. Thus I installed all dependency packages and then installed cuda-command-line-tools-9-1 successfully.

[NataliaDiaz]

Yes, this is still an issue, @tensorflowbutler

[WormCoder]

This is not necessary. CUPTI has been installed along with CUDA.
Just set the LD_LIBRARY_PATH, and tf works fine.

[punitvara]

Do following things. Hope it helps :
$ sudo apt-get install cuda-9.0
$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64

Download cuDNN for 9.0 (You need to register before downloading)
https://developer.nvidia.com/rdp/form/cudnn-download-survey

$ sudo dpkg -i libcudnn7_7.1.2.21-1+cuda9.0_amd64.deb

Close all terminal and open new
$ source activate tensorflow
$ python
#> > import tensorflow as tf

You should not get any error now. @NataliaDiaz @Netroman @zxr12748

[jiyuhan]

importing tensorflow doesn't necessarily check if cuda is installed, I may be wrong.

[AllBecomesGood]

@cyrilzh solution worked (sudo apt install cuda-command-line-tools-9-0), however it apparently got installed already somewhere along the way (i installed nvidia gpu driver, cuda 9.0, cudnn 7.0.5 runtime and cudnn 7.0.5 dev lib).

[vissac]

It should be installed already, just set the env to path is fine.

[jrajagopal]

As pointed out by @vissac and @manbharae, cuda-command-line-tools-9-0 is already installed when you load cuda. (I had to install the CUDA package using the local deb)

[tensorflowbutler]

It has been 14 days with no activity and the awaiting response label was assigned. Is this still an issue?

[bjenkinsgit]

I solved the problem and got 9.1 installed.

[chenzhekl]

The documentation is still incorrect at the moment.

[slothkong]

@lejafar Prior to installing that package, you installed and cuda package using dpkg? I started with ony the vnidia drivers install, the I followed your comment but had the same error as @themightyoarfish . After that whenever I use sudo apt-get intall I get a messave of unmenment dependencies that includes cuda-toolking-9.0. How did you guuys solve the issue?

[ijoseph]

After about literally an hour of dependency hell, I managed to find all the .debs I needed for command-line-tools for Ubuntu 16.04 compatible with cuda 9.2 on this page. (i.e., without having to downgrade to cuda 9.0 or cuda 9.1). Similar to @max0x 's solution, I guess.

[SumanthMeenan]

I also faced the same issue @Queequeg92 then i tried
sudo apt install cuda-command-line-tools-9-0
This is working