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Whenever I attempt to use tensorflow with GPU support i get (cpu operations work fine)
2021-03-15 01:08:23.907607: F ./tensorflow/core/kernels/random_op_gpu.h:244] Non-OK-status: GpuLaunchKernel(FillPhiloxRandomKernelLaunch<Distribution>, num_blocks, block_size, 0, d.stream(), key, counter, gen, data, size, dist) status: Internal: no kernel image is available for execution on the deviceIs it only me?
System
kernel 5.10.23-1-lts x86_64 GNU/Linux
GPU
Nvidia Quadro M1000M
NVIDIA-SMI 460.56 Driver Version: 460.56 CUDA Version: 11.2
Packages I'm using:
- community/python-tensorflow-opt-cuda 2.4.1-6
- community/tensorflow-opt-cuda 2.4.1-6
- community/cudnn 8.1.0.77-1
- community/cuda 11.2.1-4
- python (3.9)
EDIT:
I've checked something:
The tensorflow-2.4.1 installed by pip on python38 (from AUR) works and that is using the same cuda and cudnn packages.
Last edited by Arsakes (2021-03-15 01:04:47)
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Not just you I am having the same problem seems to be a missing library.
error while loading shared libraries: libprotobuf.so.23: cannot open shared object file: No such file or directoryI Downgraded
protobuf-3.12.4-3
protobuf-c-1.3.3-2
python-protobuf-3.12.4-3
Last edited by pacman41 (2021-03-15 12:10:25)
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