https://github.com/andrewginns/tflow-whls
Collection of custom Tensorflow wheels
https://github.com/andrewginns/tflow-whls
ml python tensorflow
Last synced: 3 months ago
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Collection of custom Tensorflow wheels
- Host: GitHub
- URL: https://github.com/andrewginns/tflow-whls
- Owner: andrewginns
- Created: 2018-06-13T21:11:55.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-08-02T21:17:28.000Z (almost 8 years ago)
- Last Synced: 2026-03-27T22:56:54.431Z (3 months ago)
- Topics: ml, python, tensorflow
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# TensorFlow Optimized Wheels
Collection of Tensorflow wheels for various hardware for the MSc project
# All .whl files https://github.com/andrewginns/tflow-whls/releases
### Target Hardware
* AMD K10 cores, No AVX - https://en.wikipedia.org/wiki/AMD_10h
* SP4 i7-6650u Virtual Box, SSE4.1 SSE4.2 AVX AVX2
* Macbook Pro 14,3 macOS 10.13, SSE4.1 SSE4.2 AVX AVX2 FMA
Avoids:
```
The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
or:
Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
```