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AUR (en) - python-tensorflow

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Package Details: python-tensorflow 1.0.0rc0-1

Git Clone URL: https://aur-dev.archlinux.org/python-tensorflow.git (read-only)
Package Base: python-tensorflow
Description: Computation using data flow graphs for scalable machine learning.
Upstream URL: https://tensorflow.org/
Keywords: google machine_learning neural_network tensorflow
Licenses: Apache2
Conflicts: python-tensorflow-cuda, python-tensorflow-git, tensorflow, tensorflow-git
Provides: python-tensorflow
Submitter: yang
Maintainer: b52
Last Packager: b52
Votes: 8
Popularity: 0.157217
First Submitted: 2016-03-18 16:57
Last Updated: 2017-01-30 12:56

Latest Comments

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Ishbir commented on 2017-01-31 23:14

It would be great if --copt=-march=native could be added to bazel build arguments. This enables performance optimizations that the host machine can support like SSE 4.2, AVX, AVX2, FMA.

From https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md#optimizing-cpu-performance

b52 commented on 2017-01-23 09:12

@abdo Thanks, I updated it accordingly.

abdo commented on 2017-01-21 13:56

The sed patching fails if building a second time on the same sources. zlib.net becomes zlib.net/fossils becoms zlib.net/fossils/fossils etc. This is a fix that moves the patching to prepare() and additionally makes the sed rule more robust.


b52 commented on 2016-12-07 21:22

@abdo Thanks for your commits, I pushed everything including a bumped pkgrel to the AUR. Thanks!

abdo commented on 2016-12-07 18:11

Here there are a couple of improvements of this PKGBUILD:


The changes are:

- Avoid interactive prompts while building, by setting the appropriate environment variables.

- Use "bazel shutdown" at the end of build(). Otherwise bazel remains as a background process after the build is finished, potentially consuming large chunks of memory.

It would be nice if you could merge those changes.

b52 commented on 2016-12-05 02:01

I just took over this package and did the following:
- Bump version to 0.12.0-rc0
- Built default with GPU support, thus cuda and cudnn are build dependencies
- Add a profile.d script to export TF_CPP_MIN_LOG_LEVEL=1 in order to suppress annoying info messages

bachp commented on 2016-11-28 19:32

Is this package still maintained?

navi_se commented on 2016-09-21 13:27

Missing dependency dh-autoreconf

jeanfrancisroy commented on 2016-06-13 00:36

Why is GPU support commented out in the PKGBUILD, is it broken?

igormp commented on 2016-06-05 07:15

Had the same problem as @qft, but I solved it by actually adding the following line AFTER build_pip_package (line 57):

cp -a bazel-bin/tensorflow/tools/pip_package/build_pip_package.runfiles/__main__/* bazel-bin/tensorflow/tools/pip_package/build_pip_package.runfiles/