Re: Fwd: Library Install Problem.
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-devel@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
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