On Friday 17 February 2017 20:04:12 S. P. Molnar wrote: > If I try to install libcuda1 with Synaptic, the process throws an error: > > 'E: Internal Error. No file name for libcuda1:ams64'
This looks distinctly odd. It looks as though it ought to be libcuda1:amd64 with a 'd' instead of the 's'. Running Jessie, 8.7 I get: lisi@Eros:~$ aptitude show libcuda1:ams64 E: Unable to locate package libcuda1:ams64 lisi@Eros:~$ aptitude show libcuda1:amd64 Package: libcuda1 State: not installed Multi-Arch: same Version: 340.101-1 Priority: optional Section: non-free/libs Maintainer: Debian NVIDIA Maintainers <pkg-nvidia-de...@lists.alioth.debian.org> Architecture: amd64 Uncompressed Size: 14.2 M Depends: nvidia-support, nvidia-alternative (= 340.101-1), libc6 (>= 2.2.5) PreDepends: multiarch-support Recommends: nvidia-kernel-dkms (= 340.101-1) | nvidia-kernel-340.101, nvidia-smi, libcuda1-i386 Suggests: nvidia-cuda-mps, nvidia-kernel-dkms (>= 340.101) | nvidia-kernel-source (>= 340.101) Conflicts: libcuda1-ia32, libcuda1-ia32, nvidia-cuda-proxy, nvidia-cuda-proxy Breaks: libcuda1 (!= 340.101-1) Replaces: libcuda1-ia32, libcuda1-ia32, libcuda1 (< 340.101-1) Provides: libcuda-5.0-1, libcuda-5.5-1, libcuda-6.0-1, libcuda-6.5-1 Description: NVIDIA CUDA Driver Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. This package contains the CUDA Driver API library for low-level CUDA programming. Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX series, as well as the Tesla computing processors. Please see the nvidia-kernel-dkms or nvidia-kernel-source packages for building the kernel module required by this package. This will provide nvidia-kernel-340.101. Homepage: http://www.nvidia.com/CUDA Tags: role::shared-lib lisi@Eros:~$ Where did the ams64 come from? Lisi
