Which combination of cudaDNN and CUDA 10.X works on Ubuntu 18.04?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ margin-bottom:0;
}
I'm trying to setup a GPU cluster on using tf-nightly-gpu-2.0-preview
After some hacks (will document if someone is interested) I got to the point where I see the following error:
python3: Relink
/lib/x86_64-linux-gnu/libudev.so.1' with/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime'
Segmentation fault (core dumped)
I've learned from other sources that installing cudaDNN seems to solve the issue (for whatever reason).
It also seems that tf-nightly-gpu-2.0-preview is linked to CUDA 10.0 (and not the latest 10.1)
I've successfully? installed cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
I've also successfully? installed libcudnn7_7.5.0.56-1+cuda10.0_amd64.deb
But on the website I only find
libcudnn7-dev_7.5.0.56-1+cuda10.1_amd64.deb
and
libcudnn7-dev_7.4.2.24-1+cuda10.0_amd64.deb
Installing libcudnn7-dev_7.4.2.24-1+cuda10.0_amd64.deb gives me:
libcudnn7-dev depends on libcudnn7 (= 7.4.2.24-1+cuda10.0); however:
Version of libcudnn7 on system is 7.5.0.56-1+cuda10.0.
Installing libcudnn7-dev_7.5.0.56-1+cuda10.1_amd64.deb gives me:
libcudnn7-dev depends on libcudnn7 (= 7.5.0.56-1+cuda10.1); however:
Version of libcudnn7 on system is 7.5.0.56-1+cuda10.0.
Any ideas?
18.04 nvidia cuda
asked 23 mins ago
user3656912user3656912
1113
add a comment |
I'm trying to setup a GPU cluster on using tf-nightly-gpu-2.0-preview
After some hacks (will document if someone is interested) I got to the point where I see the following error:
python3: Relink
/lib/x86_64-linux-gnu/libudev.so.1' with/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime'
Segmentation fault (core dumped)
I've learned from other sources that installing cudaDNN seems to solve the issue (for whatever reason).
It also seems that tf-nightly-gpu-2.0-preview is linked to CUDA 10.0 (and not the latest 10.1)
I've successfully? installed cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
I've also successfully? installed libcudnn7_7.5.0.56-1+cuda10.0_amd64.deb
But on the website I only find
libcudnn7-dev_7.5.0.56-1+cuda10.1_amd64.deb
and
libcudnn7-dev_7.4.2.24-1+cuda10.0_amd64.deb
Installing libcudnn7-dev_7.4.2.24-1+cuda10.0_amd64.deb gives me:
libcudnn7-dev depends on libcudnn7 (= 7.4.2.24-1+cuda10.0); however:
Version of libcudnn7 on system is 7.5.0.56-1+cuda10.0.
Installing libcudnn7-dev_7.5.0.56-1+cuda10.1_amd64.deb gives me:
libcudnn7-dev depends on libcudnn7 (= 7.5.0.56-1+cuda10.1); however:
Version of libcudnn7 on system is 7.5.0.56-1+cuda10.0.
Any ideas?
18.04 nvidia cuda
asked 23 mins ago
user3656912user3656912
1113
add a comment |
I'm trying to setup a GPU cluster on using tf-nightly-gpu-2.0-preview
After some hacks (will document if someone is interested) I got to the point where I see the following error:
python3: Relink
/lib/x86_64-linux-gnu/libudev.so.1' with/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime'
Segmentation fault (core dumped)
I've learned from other sources that installing cudaDNN seems to solve the issue (for whatever reason).
It also seems that tf-nightly-gpu-2.0-preview is linked to CUDA 10.0 (and not the latest 10.1)
I've successfully? installed cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
I've also successfully? installed libcudnn7_7.5.0.56-1+cuda10.0_amd64.deb
But on the website I only find
libcudnn7-dev_7.5.0.56-1+cuda10.1_amd64.deb
and
libcudnn7-dev_7.4.2.24-1+cuda10.0_amd64.deb
Installing libcudnn7-dev_7.4.2.24-1+cuda10.0_amd64.deb gives me:
libcudnn7-dev depends on libcudnn7 (= 7.4.2.24-1+cuda10.0); however:
Version of libcudnn7 on system is 7.5.0.56-1+cuda10.0.
Installing libcudnn7-dev_7.5.0.56-1+cuda10.1_amd64.deb gives me:
libcudnn7-dev depends on libcudnn7 (= 7.5.0.56-1+cuda10.1); however:
Version of libcudnn7 on system is 7.5.0.56-1+cuda10.0.
Any ideas?
18.04 nvidia cuda
asked 23 mins ago
user3656912user3656912
1113
I'm trying to setup a GPU cluster on using tf-nightly-gpu-2.0-preview
After some hacks (will document if someone is interested) I got to the point where I see the following error:
python3: Relink
/lib/x86_64-linux-gnu/libudev.so.1' with/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime'
Segmentation fault (core dumped)
I've learned from other sources that installing cudaDNN seems to solve the issue (for whatever reason).
It also seems that tf-nightly-gpu-2.0-preview is linked to CUDA 10.0 (and not the latest 10.1)
I've successfully? installed cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
I've also successfully? installed libcudnn7_7.5.0.56-1+cuda10.0_amd64.deb
But on the website I only find
libcudnn7-dev_7.5.0.56-1+cuda10.1_amd64.deb
and
libcudnn7-dev_7.4.2.24-1+cuda10.0_amd64.deb
Installing libcudnn7-dev_7.4.2.24-1+cuda10.0_amd64.deb gives me:
libcudnn7-dev depends on libcudnn7 (= 7.4.2.24-1+cuda10.0); however:
Version of libcudnn7 on system is 7.5.0.56-1+cuda10.0.
Installing libcudnn7-dev_7.5.0.56-1+cuda10.1_amd64.deb gives me:
libcudnn7-dev depends on libcudnn7 (= 7.5.0.56-1+cuda10.1); however:
Version of libcudnn7 on system is 7.5.0.56-1+cuda10.0.
Any ideas?
18.04 nvidia cuda
18.04 nvidia cuda
asked 23 mins ago
user3656912user3656912
1113
asked 23 mins ago
user3656912user3656912
1113
asked 23 mins ago
user3656912user3656912
1113
asked 23 mins ago
user3656912user3656912
1113
asked 23 mins ago
user3656912user3656912
1113
1113
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "89"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2faskubuntu.com%2fquestions%2f1134529%2fwhich-combination-of-cudadnn-and-cuda-10-x-works-on-ubuntu-18-04%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Ask Ubuntu!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2faskubuntu.com%2fquestions%2f1134529%2fwhich-combination-of-cudadnn-and-cuda-10-x-works-on-ubuntu-18-04%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
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
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
