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Summary

Description
English: Plotted in Julia.

using CairoMakie

function f(pos, N, k, d)

   theta = pos/(N^(2*k/d))
   if k % 2 ==1
       return sin(theta)
   else
       return cos(theta)
   end

end

ks = 0:64

poss = 0:1000

data = [f(pos, 10000, k, 100) for pos in poss, k in ks];

fig = Figure(resolution=(1600, 800))

ax = Axis(fig[1, 1])

Makie.heatmap!(data', color=:viridis)

ax.title="Positional encoding"

ax.xlabel="vector index"

ax.ylabel="position"


save("positional encoding.png", fig)

Date
Source Own work
Author Cosmia Nebula

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

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30 June 2022

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Date/TimeThumbnailDimensionsUserComment
current22:36, 30 June 2022Thumbnail for version as of 22:36, 30 June 20221,600 × 800 (217 KB)Cosmia NebulaUploaded while editing "Transformer (machine learning model)" on enbaike.710302.xyz

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