Unable to install cuda-11-4

Robotics & Edge Computing Jetson & Embedded Systems Jetson AGX Xavier
1

In the container nvcr.io/nvidia/l4t-base:r34.1 I am currently unable to install cuda-11-4.

Repro:

$ docker run nvcr.io/nvidia/l4t-base:r34.1 bash -c "apt update && apt install cuda-11-4"   
Unable to find image 'nvcr.io/nvidia/l4t-base:r34.1' locally
r34.1: Pulling from nvidia/l4t-base
Digest: sha256:5fa4443b2b3fdeb39582d209ec8f88c53be9c44b4801720a3c6b0cc177e5a237
Status: Downloaded newer image for nvcr.io/nvidia/l4t-base:r34.1

WARNING: apt does not have a stable CLI interface. Use with caution in scripts.

Get:1 https://repo.download.nvidia.com/jetson/common r34.1 InRelease [2519 B]
Get:2 http://ports.ubuntu.com/ubuntu-ports focal InRelease [265 kB]
Get:3 http://ports.ubuntu.com/ubuntu-ports focal-updates InRelease [114 kB]
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Get:5 http://ports.ubuntu.com/ubuntu-ports focal-security InRelease [114 kB]
Get:6 http://ports.ubuntu.com/ubuntu-ports focal/main arm64 Packages [1234 kB]
Get:7 http://ports.ubuntu.com/ubuntu-ports focal/multiverse arm64 Packages [139 kB]
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Get:14 http://ports.ubuntu.com/ubuntu-ports focal-backports/universe arm64 Packages [27.5 kB]
Get:15 http://ports.ubuntu.com/ubuntu-ports focal-backports/main arm64 Packages [54.8 kB]
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Get:17 http://ports.ubuntu.com/ubuntu-ports focal-security/universe arm64 Packages [823 kB]
Get:18 http://ports.ubuntu.com/ubuntu-ports focal-security/restricted arm64 Packages [4330 B]
Get:19 http://ports.ubuntu.com/ubuntu-ports focal-security/multiverse arm64 Packages [3253 B]
Fetched 18.4 MB in 4s (4775 kB/s)
Reading package lists...
Building dependency tree...
Reading state information...
93 packages can be upgraded. Run 'apt list --upgradable' to see them.

WARNING: apt does not have a stable CLI interface. Use with caution in scripts.

Reading package lists...
Building dependency tree...
Reading state information...
E: Unable to locate package cuda-11-4
2

Hi @Alexandre_Baiao, can you upgrade to the latest JetPack 5.0.2 production release (L4T R35.1.0) and use nvcr.io/nvidia/l4t-base:r35.1.0 instead? It then finds cuda-11-4 package:

$ sudo docker run --runtime nvidia nvcr.io/nvidia/l4t-base:r35.1.0 bash -c "apt-get update && apt-cache search cuda-11-4"
Get:1 https://repo.download.nvidia.com/jetson/common r35.1 InRelease [2555 B]
Get:2 http://ports.ubuntu.com/ubuntu-ports focal InRelease [265 kB]
Get:3 https://repo.download.nvidia.com/jetson/common r35.1/main arm64 Packages [18.7 kB]
Get:4 http://ports.ubuntu.com/ubuntu-ports focal-updates InRelease [114 kB]
Get:5 http://ports.ubuntu.com/ubuntu-ports focal-backports InRelease [108 kB]
Get:6 http://ports.ubuntu.com/ubuntu-ports focal-security InRelease [114 kB]
Get:7 http://ports.ubuntu.com/ubuntu-ports focal/main arm64 Packages [1234 kB]
Get:8 http://ports.ubuntu.com/ubuntu-ports focal/restricted arm64 Packages [1317 B]
Get:9 http://ports.ubuntu.com/ubuntu-ports focal/universe arm64 Packages [11.1 MB]
Get:10 http://ports.ubuntu.com/ubuntu-ports focal/multiverse arm64 Packages [139 kB]
Get:11 http://ports.ubuntu.com/ubuntu-ports focal-updates/universe arm64 Packages [1116 kB]
Get:12 http://ports.ubuntu.com/ubuntu-ports focal-updates/restricted arm64 Packages [4571 B]
Get:13 http://ports.ubuntu.com/ubuntu-ports focal-updates/multiverse arm64 Packages [9067 B]
Get:14 http://ports.ubuntu.com/ubuntu-ports focal-updates/main arm64 Packages [1802 kB]
Get:15 http://ports.ubuntu.com/ubuntu-ports focal-backports/main arm64 Packages [54.8 kB]
Get:16 http://ports.ubuntu.com/ubuntu-ports focal-backports/universe arm64 Packages [27.5 kB]
Get:17 http://ports.ubuntu.com/ubuntu-ports focal-security/restricted arm64 Packages [4330 B]
Get:18 http://ports.ubuntu.com/ubuntu-ports focal-security/multiverse arm64 Packages [3253 B]
Get:19 http://ports.ubuntu.com/ubuntu-ports focal-security/universe arm64 Packages [823 kB]
Get:20 http://ports.ubuntu.com/ubuntu-ports focal-security/main arm64 Packages [1419 kB]
Fetched 18.4 MB in 5s (3868 kB/s)
Reading package lists...
cuda-11-4 - CUDA 11.4 meta-package

Also, for JetPack 5.0.2 there is the l4t-jetpack container available which already has CUDA Toolkit installed (nvcr.io/nvidia/l4t-jetpack:r35.1.0)

4

Thanks! This fixed it.

6

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