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This repository has been archived by the owner on Feb 4, 2020. It is now read-only.
first of all thanks for your effort in creating different flavors of TensorFlow binaries.
I am currently in the process of creating a Docker base image containing somewhat recent versions of Python (>= 3.7) and TensorFlow (>= 1.13) with AVX2 support. You provide a Python 3.7 version which additionally has AVX512F support enabled, but this version won't run on my target system, as the CPU does not support AVX512F.
Is it possible to ship a Linux-targeted version, but without AVX512F support? Ubuntu would be fine, Alpine would be even better for use in Docker containers, although I guess that you could make a Ubuntu-compiled binary work under Alpine as well by swapping musl for libs in the Alpine image.
No, I ended up building one from source. Debian/Ubuntu as base image is actually highly recommended, as an Alpine-based image has the problem that many Python packages need to be built from source.
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Hi,
first of all thanks for your effort in creating different flavors of TensorFlow binaries.
I am currently in the process of creating a Docker base image containing somewhat recent versions of Python (>= 3.7) and TensorFlow (>= 1.13) with AVX2 support. You provide a Python 3.7 version which additionally has AVX512F support enabled, but this version won't run on my target system, as the CPU does not support AVX512F.
Is it possible to ship a Linux-targeted version, but without AVX512F support? Ubuntu would be fine, Alpine would be even better for use in Docker containers, although I guess that you could make a Ubuntu-compiled binary work under Alpine as well by swapping musl for libs in the Alpine image.
This seems like a good starting point: https://github.com/better/alpine-tensorflow.
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