Package Details: tensorflow-cuda-git 1.12.1+54837+g03796cf1dda-1

Git Clone URL: https://aur.archlinux.org/tensorflow-git.git (read-only, click to copy)
Package Base: tensorflow-git
Description: Library for computation using data flow graphs for scalable machine learning (with CUDA)
Upstream URL: https://tensorflow.org/
Keywords: artificial_intelligence google machine_learning neural_network
Licenses: Apache
Conflicts: tensorflow-cuda
Provides: tensorflow-cuda
Submitter: swiftscythe
Maintainer: None
Last Packager: swiftscythe
Votes: 2
Popularity: 0.000000
First Submitted: 2017-05-27 18:50 (UTC)
Last Updated: 2021-04-14 00:37 (UTC)

Latest Comments

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riyies commented on 2018-05-31 21:22 (UTC)

Fails when using Bazel 0.13 java.lang.RuntimeException: Unrecoverable error while evaluating node 'PACKAGE:tensorflow/core/kernels'

Worked with Bazel 0.12. Refer to https://github.com/tensorflow/tensorflow/issues/19015

progwolff commented on 2017-08-29 14:19 (UTC)

The build fails at boringssl. Adding --copt=-O to the bazel options fixes the build. See also: https://stackoverflow.com/questions/40373686/freeze-graph-py-throws-an-error-during-build/40374431#40374431

jmbarrios commented on 2017-08-15 17:23 (UTC)

I can confirm that cudnn is necessary. There an issue on tensorflow repository asking for support cudnn 7 and cuda 9 (https://github.com/tensorflow/tensorflow/issues/12052).

petronny commented on 2017-08-14 08:27 (UTC)

I think cudnn should be cudnn6 now?

piratejon commented on 2017-06-30 04:00 (UTC) (edited on 2017-06-30 04:01 (UTC) by piratejon)

python-tensorflow-cuda-git seems to depend on libglvnd which conflicts with my video driver. Is that necessary? tensorflow-cuda-git does not require it.

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