Public GPG key error #258

vamman · 2022-04-28T17:57:29Z

Where's the public GPG key? Was working fine for weeks. Today this error.

W: GPG error: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY A4B469963BF863CC
E: The repository 'https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease' is not signed.

The text was updated successfully, but these errors were encountered:

rrlamichhane · 2022-04-28T18:46:14Z

Seeing the exact issue as well.

zestrells · 2022-04-28T19:01:50Z

Also seeing this issue and trying to debug it now.

klueska · 2022-04-28T19:07:12Z

https://forums.developer.nvidia.com/t/notice-cuda-linux-repository-key-rotation/212772

topinfrassi01 · 2022-04-28T19:24:57Z

@klueska I'm starting from the tensorflow/tensorflow:2.7.0-gpu image, I tried following this blog and so I added the following lines at the start of my file (after FROM tensorflow...)

RUN apt-get install -y --no-install-recommends wget
RUN apt-key del 7fa2af80
RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
RUN dpkg -i cuda-keyring_1.0-1_all.deb
RUN apt-get update

When running apt-get update, I have the following error :

NVIDIA/nvidia-docker#11 [ 8/13] RUN apt-get update
NVIDIA/nvidia-docker#11 sha256:c1afeb0121b560d8f8cf7247423fec777c038dd0f561407a5757db6c7e71ce82
NVIDIA/nvidia-docker#11 0.503 E: Conflicting values set for option Signed-By regarding source https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /: /usr/share/keyrings/cuda-archive-keyring.gpg !=
NVIDIA/nvidia-docker#11 0.503 E: The list of sources could not be read.
NVIDIA/nvidia-docker#11 ERROR: executor failed running [/bin/bash -c apt-get update]: exit code: 100

In order to add as much information as possible, here is the content of the /etc/apt/sources.list.d folder :

cuda.list
nvidia-ml.list

I tried deleting both these files before running the previous lines, then I get the following error :

NVIDIA/nvidia-docker#12 7.636 E: Failed to fetch https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/Packages.gz File has unexpected size (631054 != 481481). Mirror sync in progress? [IP: 152.199.20.126 443]
NVIDIA/nvidia-docker#12 7.636 Hashes of expected file:
NVIDIA/nvidia-docker#12 7.636 - Filesize:481481 [weak]
NVIDIA/nvidia-docker#12 7.636 - SHA256:8556d67c6d380c957f05057f448d994584a135d7ed75e5ae6bb25c3fc1070b0b
NVIDIA/nvidia-docker#12 7.636 - SHA1:c5ea9556407a3b5daec4aac530cd038e9b490441 [weak]
NVIDIA/nvidia-docker#12 7.636 - MD5Sum:a5513131dbd2d4e50f185422ebb43ac9 [weak]
NVIDIA/nvidia-docker#12 7.636 Release file created at: Mon, 25 Apr 2022 23:27:19 +0000
NVIDIA/nvidia-docker#12 7.636 E: Some index files failed to download. They have been ignored, or old ones used instead.

GeneralErrorOK · 2022-04-28T19:36:25Z

I have the exact same issue. Added this to my Dockerfile:
WORKDIR /tmp RUN apt-key del 7fa2af80 && \ apt install wget && \ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-keyring_1.0-1_all.deb && \ dpkg -i cuda-keyring_1.0-1_all.deb

And then, when running apt update and apt install:

E: Conflicting values set for option Signed-By regarding source https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /: /usr/share/keyrings/cuda-archive-keyring.gpg !=
E: The list of sources could not be read.

estan · 2022-04-28T19:53:26Z

Same here, someone pushed the wrong button at NVIDIA.

rrlamichhane · 2022-04-28T19:54:55Z

https://forums.developer.nvidia.com/t/notice-cuda-linux-repository-key-rotation/212772

I rotated my keys, but still getting errors.

Commands in Dockerfile:

RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
RUN dpkg -i cuda-keyring_1.0-1_all.deb
RUN apt update && apt install -y cuda-compat-11-4

Error:

NVIDIA/nvidia-docker#8 7.228 E: Failed to fetch https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/Packages.gz  File has unexpected size (631054 != 481481). Mirror sync in progress? [IP: 152.195.19.142 443]
NVIDIA/nvidia-docker#8 7.228    Hashes of expected file:
NVIDIA/nvidia-docker#8 7.228     - Filesize:481481 [weak]
NVIDIA/nvidia-docker#8 7.228     - SHA256:8556d67c6d380c957f05057f448d994584a135d7ed75e5ae6bb25c3fc1070b0b
NVIDIA/nvidia-docker#8 7.228     - SHA1:c5ea9556407a3b5daec4aac530cd038e9b490441 [weak]
NVIDIA/nvidia-docker#8 7.228     - MD5Sum:a5513131dbd2d4e50f185422ebb43ac9 [weak]
NVIDIA/nvidia-docker#8 7.228    Release file created at: Mon, 25 Apr 2022 23:27:19 +0000

rrlamichhane · 2022-04-28T20:09:08Z

NVIDIA/nvidia-docker#1633

wilkesreid · 2022-04-28T21:05:30Z

It's pretty disappointing that hardly a day's notice is considered enough warning before breaking everyone's ability to install.

ryan00 · 2022-04-28T21:45:46Z

Argggg, borked build club member signin

this seems to work for me
RUN rm /etc/apt/sources.list.d/cuda.list
RUN rm /etc/apt/sources.list.d/nvidia-ml.list
RUN apt-key del 7fa2af80
RUN apt-get update && apt-get install -y --no-install-recommends wget
RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-keyring_1.0-1_all.deb
RUN dpkg -i cuda-keyring_1.0-1_all.deb

jtran1999 · 2022-04-29T00:10:10Z

it seems the keys changed today.

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
sudo apt-get update
sudo apt-get -y install cuda

zestrells · 2022-04-29T00:32:15Z

This is what I used in the Dockerfile to fix this

    && apt-key del 7fa2af80 \
    && curl -L -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-keyring_1.0-1_all.deb \
    && dpkg -i cuda-keyring_1.0-1_all.deb \

sanjass · 2022-04-29T02:45:51Z

This worked for me for a dockerfile, I used the alternative approach on the official notice but I had to remove old source files and I also needed to fetch 2 keys, one for "cuda" and one for "machine learning"
Put these after the FROM command

RUN rm /etc/apt/sources.list.d/cuda.list
RUN rm /etc/apt/sources.list.d/nvidia-ml.list
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub

Make sure you change ubuntu1804/x86_64 to your distro/arch. Also, note the first two lines are necessary as the base image might have bad keys (you might get an error The list of sources could not be read without them)

GeneralErrorOK · 2022-04-29T05:26:29Z

RUN rm /etc/apt/sources.list.d/cuda.list

I can confirm. This is also the line that I needed to add to get it to work. Only the alternative method from the official announcement seems to work in a Docker build.

This is what I added at the start of my Dockerfile: (after FROM)

RUN rm /etc/apt/sources.list.d/cuda.list && \ apt-key del 7fa2af80 && \ apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub

I still think it's strange for NVIDIA to break everyone's build pipelines with only a few hours notice.

roman-vynar · 2022-04-29T09:02:38Z

Same here, ubuntu2004 repo is broken because the previous key 7fa2af80.pub stopped working.
The right one can be found here ubuntu1804/x86_64/3bf863cc.pub 😐

LordNetro · 2022-04-29T09:27:15Z

This worked for me, I used the alternative approach on the official notice but I had to fetch another 2 keys, one for "cuda" and one for "machine learning"

RUN rm /etc/apt/sources.list.d/cuda.list
RUN rm /etc/apt/sources.list.d/nvidia-ml.list
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub

This worked for me, but remember to change the arguments of the command depending on the version of your distribution. Thanks!

kasaikou · 2022-04-29T09:27:47Z

This may solved for me (base image: nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04)

RUN \
    # Update nvidia GPG key
    rm /etc/apt/sources.list.d/cuda.list && \
    rm /etc/apt/sources.list.d/nvidia-ml.list && \
    apt-key del 7fa2af80 && \
    apt-get update && apt-get install -y --no-install-recommends wget && \
    wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb && \
    dpkg -i cuda-keyring_1.0-1_all.deb && \
    apt-get update

cwichka · 2022-04-29T09:29:53Z

This one worked for me here

RUN rm /etc/apt/sources.list.d/cuda.list
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub

AlanSavio25 · 2022-04-29T09:35:45Z

Argggg, borked build club member signin

this seems to work for me RUN rm /etc/apt/sources.list.d/cuda.list RUN rm /etc/apt/sources.list.d/nvidia-ml.list RUN apt-key del 7fa2af80 RUN apt-get update && apt-get install -y --no-install-recommends wget RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-keyring_1.0-1_all.deb RUN dpkg -i cuda-keyring_1.0-1_all.deb

This solved it for me. Thanks!

wkcn · 2022-04-29T09:52:23Z

Argggg, borked build club member signin

this seems to work for me RUN rm /etc/apt/sources.list.d/cuda.list RUN rm /etc/apt/sources.list.d/nvidia-ml.list RUN apt-key del 7fa2af80 RUN apt-get update && apt-get install -y --no-install-recommends wget RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-keyring_1.0-1_all.deb RUN dpkg -i cuda-keyring_1.0-1_all.deb

It works for me. Thank you!

The files /etc/apt/sources.list.d/cuda.list and /etc/apt/sources.list.d/nvidia-ml.list should be removed before installing cuda-keyring, otherwise it raises the error The list of sources could not be read.

Context: https://github.com/NVIDIA/nvidia-docker/issues/1631 The next `deeplearning-platform-release/tf2-gpu.2-6` should remove the need for this workaround. http://b/230864778

mynkyu · 2022-06-08T07:17:44Z

Same Issue,

# https://github.com/NVIDIA/nvidia-container-toolkit/issues/258
RUN apt-key del 7fa2af80
RUN apt-key del 3bf863cc
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub

Adding this lines above apt-get update solved the issue. Thanks @Xcompanygames

harshkakashaniya · 2022-06-17T22:39:38Z

This worked for me for a dockerfile, I used the alternative approach on the official notice but I had to remove old source files and I also needed to fetch 2 keys, one for "cuda" and one for "machine learning" Put these after the FROM command
RUN rm /etc/apt/sources.list.d/cuda.list
RUN rm /etc/apt/sources.list.d/nvidia-ml.list
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
Make sure you change ubuntu1804/x86_64 to your distro/arch. Also, note the first two lines are necessary as the base image might have bad keys (you might get an error The list of sources could not be read without them)

In my case I had to comment second line

RUN rm /etc/apt/sources.list.d/cuda.list
# RUN rm /etc/apt/sources.list.d/nvidia-ml.list
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub

https://github.com/NVIDIA/nvidia-docker/issues/1631#issuecomment-1112828208

nectario · 2022-07-12T01:12:40Z

I am getting this error:

NVIDIA/nvidia-docker#6 2.655 Get:18 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  Packages [580 kB]
NVIDIA/nvidia-docker#6 2.656 Err:18 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  Packages
NVIDIA/nvidia-docker#6 2.656   File has unexpected size (580845 != 580040). Mirror sync in progress? [IP: 152.195.19.142 443]
NVIDIA/nvidia-docker#6 2.656   Hashes of expected file:
NVIDIA/nvidia-docker#6 2.656    - Filesize:580040 [weak]
NVIDIA/nvidia-docker#6 2.656    - SHA256:dc8abbaf470d3ee626f4f1f4d2871a98d8dc8f770bc592676f0d1f60637e0c2d
NVIDIA/nvidia-docker#6 2.656    - SHA1:109bfa4e5c415731aa44b1c1caae3f19754c5406 [weak]
NVIDIA/nvidia-docker#6 2.656    - MD5Sum:bf8f928cb55b1c9e4c158a69ee52b5d8 [weak]
NVIDIA/nvidia-docker#6 2.656   Release file created at: Mon, 11 Jul 2022 19:01:54 +0000
NVIDIA/nvidia-docker#6 2.996 Fetched 9797 kB in 2s (4170 kB/s)
NVIDIA/nvidia-docker#6 2.996 Reading package lists...
NVIDIA/nvidia-docker#6 4.132 E: Failed to fetch https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/Packages.gz  File has unexpected size (580845 != 580040). Mirror sync in progress? [IP: 152.195.19.142 443]
NVIDIA/nvidia-docker#6 4.132    Hashes of expected file:
NVIDIA/nvidia-docker#6 4.132     - Filesize:580040 [weak]
NVIDIA/nvidia-docker#6 4.132     - SHA256:dc8abbaf470d3ee626f4f1f4d2871a98d8dc8f770bc592676f0d1f60637e0c2d
NVIDIA/nvidia-docker#6 4.132     - SHA1:109bfa4e5c415731aa44b1c1caae3f19754c5406 [weak]
NVIDIA/nvidia-docker#6 4.132     - MD5Sum:bf8f928cb55b1c9e4c158a69ee52b5d8 [weak]
NVIDIA/nvidia-docker#6 4.132    Release file created at: Mon, 11 Jul 2022 19:01:54 +0000
NVIDIA/nvidia-docker#6 4.132 E: Some index files failed to download. They have been ignored, or old ones used instead.

fix docker container https://github.com/NVIDIA/nvidia-docker/issues/1631

TheBlackPlague · 2022-07-26T07:50:29Z

This one worked for me here

RUN rm /etc/apt/sources.list.d/cuda.list
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub

This worked for me. I just had the runtime, so /etc/apt/sources.list.d/nvidia-ml.list didn't exist for me.

Thank you ❤️

daMichaelB · 2022-08-11T09:18:57Z

I had the same problem building my Docker image with

FROM nvidia/cuda:11.4.0-base-ubuntu20.04.

I just had to delete the old nvidia/cuda image that was downloaded on my server months ago and with that force Docker to fetch the latest update. Worked without any problem.

- Improved setup.py for different python versions - Fix for broken nvidia dockerfile https://github.com/NVIDIA/nvidia-docker/issues/1631

gauenk · 2022-10-02T19:26:23Z

I had an issue with running sudo apt-key del 7fa2af80. Specifically, my machine prints: Warning: apt-key is deprecated. Manage keyring files in trusted.gpg.d instead (see apt-key(8)). The deprecation of this apt-key command will not allow me to add the cuda using the install guide.

Since apt-key won't work, I searched and found a great answer about why apt-key is deprecated, and how to manually install the keys. I used these steps to finally install cuda successfully and painlessly. I am sharing them below, since I didn't see it in my googling:

Download the 3bf863cc.pub file
Copy the file to a save place

sudo cp 3bf863cc.pub /etc/apt/keyrings/

Tell "apt" about cuda and your new key

sudo echo "deb [signed-by=/etc/apt/keyrings/3bf863cc.pub] https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /" /etc/apt/sources.list.d/cuda.list

Update & Install

sudo apt-get update
sudo apt-get install cuda

I am running Ubuntu 22.02 on x86, so the URLs can be modified with your version and arch accordingly.

Note: I did remove all my other cuda-related souces.list.d files before all of this. I am not sure if it's important but I do not think it is.

Khoa-NT · 2022-12-02T17:13:08Z

Thank you @gauenk but I would like to update for the 3rd step Tell "apt" about cuda and your new key:

sudo echo "deb [signed-by=/etc/apt/keyrings/3bf863cc.pub] https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /" | sudo tee -a /etc/apt/sources.list.d/cuda.list

Adding sudo tee -a following this link

Damianosso · 2023-01-20T04:51:09Z

@klueska I'm starting from the tensorflow/tensorflow:2.7.0-gpu image, I tried following this blog and so I added the following lines at the start of my file (after FROM tensorflow...)

RUN apt-get install -y --no-install-recommends wget RUN apt-key del 7fa2af80 RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb RUN dpkg -i cuda-keyring_1.0-1_all.deb RUN apt-get update

When running apt-get update, I have the following error :

NVIDIA/nvidia-docker#11 [ 8/13] RUN apt-get update
NVIDIA/nvidia-docker#11 sha256:c1afeb0121b560d8f8cf7247423fec777c038dd0f561407a5757db6c7e71ce82
NVIDIA/nvidia-docker#11 0.503 E: Conflicting values set for option Signed-By regarding source https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /: /usr/share/keyrings/cuda-archive-keyring.gpg !=
NVIDIA/nvidia-docker#11 0.503 E: The list of sources could not be read.
NVIDIA/nvidia-docker#11 ERROR: executor failed running [/bin/bash -c apt-get update]: exit code: 100

In order to add as much information as possible, here is the content of the /etc/apt/sources.list.d folder :
* cuda.list

* nvidia-ml.list
I tried deleting both these files before running the previous lines, then I get the following error :

NVIDIA/nvidia-docker#12 7.636 E: Failed to fetch https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/Packages.gz File has unexpected size (631054 != 481481). Mirror sync in progress? [IP: 152.199.20.126 443]
NVIDIA/nvidia-docker#12 7.636 Hashes of expected file:
NVIDIA/nvidia-docker#12 7.636 - Filesize:481481 [weak]
NVIDIA/nvidia-docker#12 7.636 - SHA256:8556d67c6d380c957f05057f448d994584a135d7ed75e5ae6bb25c3fc1070b0b
NVIDIA/nvidia-docker#12 7.636 - SHA1:c5ea9556407a3b5daec4aac530cd038e9b490441 [weak]
NVIDIA/nvidia-docker#12 7.636 - MD5Sum:a5513131dbd2d4e50f185422ebb43ac9 [weak]
NVIDIA/nvidia-docker#12 7.636 Release file created at: Mon, 25 Apr 2022 23:27:19 +0000
NVIDIA/nvidia-docker#12 7.636 E: Some index files failed to download. They have been ignored, or old ones used instead.

OK

viiika · 2024-01-09T11:00:09Z

This may solved for me (base image: nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04)

RUN \
    # Update nvidia GPG key
    rm /etc/apt/sources.list.d/cuda.list && \
    rm /etc/apt/sources.list.d/nvidia-ml.list && \
    apt-key del 7fa2af80 && \
    apt-get update && apt-get install -y --no-install-recommends wget && \
    wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb && \
    dpkg -i cuda-keyring_1.0-1_all.deb && \
    apt-get update

This manner solves my problem.

Mousius mentioned this issue Apr 28, 2022

[CI Problem] ci_gpu fails to build trying to use missing GPG Key apache/tvm#11168

Closed

wilkesreid mentioned this issue Apr 28, 2022

GPG error "public key is not available" in Ubuntu 20.04 CUDA 11.4.0 image while building #257

Open

kenji-miyake mentioned this issue Jun 26, 2022

CUDA GPG causes an error autowarefoundation/autoware#2438

Closed

3 tasks

akihironitta mentioned this issue Apr 29, 2022

Update nvidia gpg key to fix nightly docker builds Lightning-AI/pytorch-lightning#12930

Merged

9 tasks

psychocoderHPC mentioned this issue Apr 29, 2022

fix CUDA container apt keys ComputationalRadiationPhysics/picongpu#4085

Merged

rosbo referenced this issue in Kaggle/docker-python Apr 29, 2022

Fix NVIDIA GPG key issue.

602a3c0

Context: https://github.com/NVIDIA/nvidia-docker/issues/1631 The next `deeplearning-platform-release/tf2-gpu.2-6` should remove the need for this workaround. http://b/230864778

rosbo mentioned this issue Apr 29, 2022

Fix NVIDIA GPG key issue. Kaggle/docker-python#1151

Merged

rosbo referenced this issue in Kaggle/docker-python Apr 29, 2022

Fix NVIDIA GPG key issue. (#1151)

f1a3cfc

Context: https://github.com/NVIDIA/nvidia-docker/issues/1631 The next `deeplearning-platform-release/tf2-gpu.2-6` should remove the need for this workaround. http://b/230864778

msmcconnell mentioned this issue Apr 29, 2022

Nvidia GPG key is expired usdot-fhwa-stol/carma-platform#1747

Closed

3 tasks

bfirsh mentioned this issue Apr 29, 2022

Upgrade github.com/opencontainers/image-spec replicate/cog#577

Merged

This was referenced Jun 1, 2022

Error when build docker with Dockerfile facebookresearch/metaseq#129

Closed

Fix errors when build docker facebookresearch/metaseq#130

Merged

jdagdelen mentioned this issue Jun 8, 2022

Docker image build broken by GPG key rotation NVlabs/nvdiffrast#80

Closed

EmreOzkose mentioned this issue Jun 9, 2022

Triton service GPG key error k2-fsa/sherpa#18

Closed

Hegelim mentioned this issue Jun 13, 2022

TorchServe dockerfile does not exist open-mmlab/mmocr#1067

Closed

ahuds001 mentioned this issue Jun 29, 2022

Hybrid model item_metadata with nulls ShopRunner/collie#47

Closed

Tiryoh referenced this issue in rt-education/dl-notebooks Jul 2, 2022

Add GPG key update patch

b4452e0

https://github.com/NVIDIA/nvidia-docker/issues/1631#issuecomment-1112828208

prohetamine mentioned this issue Jul 17, 2022

fix nvidia dependencies prohetamine/models#1

Merged

15 tasks

prohetamine referenced this issue in prohetamine/models Jul 17, 2022

fix nvidia dependencies

55fcbe5

fix docker container https://github.com/NVIDIA/nvidia-docker/issues/1631

fidsusj mentioned this issue Jul 29, 2022

Repository Setup: Docker Build Failing CASP-Systems-BU/GCNSplit#1

Open

wbailer mentioned this issue Aug 4, 2022

Docker container: NVIDIA key change, use with Jupyter ina-foss/inaSpeechSegmenter#71

Closed

tornikeo mentioned this issue Aug 12, 2022

Fix for docker file throwing NVIDIA GPG key error ViTAE-Transformer/ViTPose#27

Open

fversaci referenced this issue in fversaci/cassandra-dali-plugin Aug 22, 2022

New default Dockerfile + minor

3acc055

- Improved setup.py for different python versions - Fix for broken nvidia dockerfile https://github.com/NVIDIA/nvidia-docker/issues/1631

isk03276 mentioned this issue Sep 15, 2022

Fix gpg error when building docker medipixel/rl_algorithms#329

Merged

MSutt mentioned this issue Jan 16, 2023

Fix #10648 tensorflow/models#10649

Open

9 tasks

Varatharajan-Raja mentioned this issue Feb 6, 2023

There is an error with the GPG key and the Cuda home cannot be found georghess/voxel-mae#3

Closed

hoangkhoiLE mentioned this issue Feb 15, 2023

upstream dependency library version incompatible open-mmlab/mmaction2#2229

Closed

camongman mentioned this issue Jul 24, 2023

class EpochBasedTrainLoop in mmengine/runner/loops.py: class CocoDataset in mmdet/datasets/coco.py: need at least one array to concatenate open-mmlab/mmdetection#9610

Closed

3 tasks

crazy-max mentioned this issue Aug 21, 2023

buildx failed with: ERROR: failed to solve: process ... did not complete successfully: exit code: 100 docker/build-push-action#933

Closed

3 tasks

elezar mentioned this issue May 5, 2022

while buiding the docker image I get the following error log. If anyone could help me to overcome this issue, it would be great. Thanks #256

Open

elezar transferred this issue from NVIDIA/nvidia-docker Jan 22, 2024

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Public GPG key error #258

Public GPG key error #258

vamman commented Apr 28, 2022

rrlamichhane commented Apr 28, 2022

zestrells commented Apr 28, 2022

klueska commented Apr 28, 2022

topinfrassi01 commented Apr 28, 2022 •

edited

GeneralErrorOK commented Apr 28, 2022 •

edited

estan commented Apr 28, 2022

rrlamichhane commented Apr 28, 2022

rrlamichhane commented Apr 28, 2022

wilkesreid commented Apr 28, 2022

ryan00 commented Apr 28, 2022 •

edited

jtran1999 commented Apr 29, 2022

zestrells commented Apr 29, 2022 •

edited

sanjass commented Apr 29, 2022 •

edited

GeneralErrorOK commented Apr 29, 2022

roman-vynar commented Apr 29, 2022

LordNetro commented Apr 29, 2022

kasaikou commented Apr 29, 2022

cwichka commented Apr 29, 2022

AlanSavio25 commented Apr 29, 2022

wkcn commented Apr 29, 2022 •

edited

mynkyu commented Jun 8, 2022

harshkakashaniya commented Jun 17, 2022

nectario commented Jul 12, 2022 •

edited

TheBlackPlague commented Jul 26, 2022

daMichaelB commented Aug 11, 2022

gauenk commented Oct 2, 2022 •

edited

Khoa-NT commented Dec 2, 2022

Damianosso commented Jan 20, 2023

viiika commented Jan 9, 2024

Public GPG key error #258

Public GPG key error #258

Comments

vamman commented Apr 28, 2022

rrlamichhane commented Apr 28, 2022

zestrells commented Apr 28, 2022

klueska commented Apr 28, 2022

topinfrassi01 commented Apr 28, 2022 • edited

GeneralErrorOK commented Apr 28, 2022 • edited

estan commented Apr 28, 2022

rrlamichhane commented Apr 28, 2022

rrlamichhane commented Apr 28, 2022

wilkesreid commented Apr 28, 2022

ryan00 commented Apr 28, 2022 • edited

jtran1999 commented Apr 29, 2022

zestrells commented Apr 29, 2022 • edited

sanjass commented Apr 29, 2022 • edited

GeneralErrorOK commented Apr 29, 2022

roman-vynar commented Apr 29, 2022

LordNetro commented Apr 29, 2022

kasaikou commented Apr 29, 2022

cwichka commented Apr 29, 2022

AlanSavio25 commented Apr 29, 2022

wkcn commented Apr 29, 2022 • edited

mynkyu commented Jun 8, 2022

harshkakashaniya commented Jun 17, 2022

nectario commented Jul 12, 2022 • edited

TheBlackPlague commented Jul 26, 2022

daMichaelB commented Aug 11, 2022

gauenk commented Oct 2, 2022 • edited

Khoa-NT commented Dec 2, 2022

Damianosso commented Jan 20, 2023

viiika commented Jan 9, 2024

topinfrassi01 commented Apr 28, 2022 •

edited

GeneralErrorOK commented Apr 28, 2022 •

edited

ryan00 commented Apr 28, 2022 •

edited

zestrells commented Apr 29, 2022 •

edited

sanjass commented Apr 29, 2022 •

edited

wkcn commented Apr 29, 2022 •

edited

nectario commented Jul 12, 2022 •

edited

gauenk commented Oct 2, 2022 •

edited