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| author | Paul Duncan <pabs@pablotron.org> | 2021-10-22 04:09:08 -0400 |
|---|---|---|
| committer | Paul Duncan <pabs@pablotron.org> | 2021-10-22 04:09:08 -0400 |
| commit | 2d28510c1e6e82c5a2cc7743a2eec32d52113036 (patch) | |
| tree | 3de632a0644908b1bb51b0d0ac8a768ee8c80399 /content/posts/2019-04-06-tensorflow-on-a-raspberry-pi-zero-w-is-a-bad-idea.md | |
| parent | 48f7b04c120d443354711bd384d5f961be0a8ea5 (diff) | |
| download | pablotron.org-2d28510c1e6e82c5a2cc7743a2eec32d52113036.tar.bz2 pablotron.org-2d28510c1e6e82c5a2cc7743a2eec32d52113036.zip | |
posts/2019-04-06-tensorflow-on-a-raspberry-pi-zero-w-is-a-bad-idea.md: use table shortcode, fix tensorflow link
Diffstat (limited to 'content/posts/2019-04-06-tensorflow-on-a-raspberry-pi-zero-w-is-a-bad-idea.md')
| -rw-r--r-- | content/posts/2019-04-06-tensorflow-on-a-raspberry-pi-zero-w-is-a-bad-idea.md | 8 |
1 files changed, 2 insertions, 6 deletions
diff --git a/content/posts/2019-04-06-tensorflow-on-a-raspberry-pi-zero-w-is-a-bad-idea.md b/content/posts/2019-04-06-tensorflow-on-a-raspberry-pi-zero-w-is-a-bad-idea.md index 14cba0f..a4d2269 100644 --- a/content/posts/2019-04-06-tensorflow-on-a-raspberry-pi-zero-w-is-a-bad-idea.md +++ b/content/posts/2019-04-06-tensorflow-on-a-raspberry-pi-zero-w-is-a-bad-idea.md @@ -12,11 +12,7 @@ The answer? You can, but it's a bad idea. The [Raspberry Pi Zero][pizerow] is a single core [ARMv6][], with no [NEON][]. Which means it's slow: -| System | Package | Install Time | Test Time | -| ------ | ------- | ------------:| ----------:| -| [Raspberry Pi Zero W][pizerow] | [Virtualenv/Pip][tf-pip] | >1 hour | 40 seconds | -| [Raspberry Pi 3 Model B+][pi3bp] | [Virtualenv/Pip][tf-pip] | 10 minutes | 10 seconds | -| [AMD ThreadRipper 1950X][cpu] ([KVM][] VM, 8 cores) | [Docker image][tf-img] | **2 minutes** | **1.8 seconds** | +{{< table "tensorflow_on_pi" "times" >}} **Details** @@ -96,7 +92,7 @@ sys 0m0.016s [saf]: https://forums.somethingawful.com/ "Something Awful Forums" [kvm]: https://www.linux-kvm.org/ "Linux Kernel Virtual Machine" [docker]: https://www.docker.com/ "Docker" -[tensorflow]: https://www.tenssorflow.org/ "TensorFlow machine learning framework" +[tensorflow]: https://www.tensorflow.org/ "TensorFlow machine learning framework" [tf-img]: https://hub.docker.com/r/tensorflow/tensorflow/ "TensorFlow Docker image" [tf-pip]: https://www.tensorflow.org/install/pip "Install TensorFlow using Virtualenv and Pip" [simd]: https://en.wikipedia.org/wiki/SIMD "Single Instruction, Multiple Data" |