TEND-NORM(1)

✨ TEND-NORM(1) ✨

okay so bestie, buckle up, we're normalizing tensor size and honestly? it's giving glow-up 💅

🌸 NAME 🌸

tend-norm — normalize tensor size. yes that's it. that's the whole vibe. lowkey iconic.

🦋 SYNOPSIS 🦋

tend norm -w <w0 w1 w2> [-a <amount>] [-t <target>] [-i <nin>] [-o
<nout>]

💖 OPTIONS 💖

• -w <w0 w1 w2> — the relative weights you're putting on the major, medium, and minor eigenvalue while we do the normalization. (fun fact: internally these get rescaled so their L1 norm is 1.0, no cap.) these weightings are literally what decides the tensors's "size". it takes 3 doubles, so give it three, not two, not four, three. 🫶
• -a <amount> — how much of the normalization we actually perform. it's a float, and the default is "1.0". like, full send by default. 🔥
• -t <target> — the target size, post normalization. also a float, default "1.0". that's the destination, we're manifesting it ✨
• -i <nin> — the input diffusion tensor volume. default: "-" (which is stdin energy, iykyk) 🎀
• -o <nout> — the output image, and she's a floating point one. it's a string, default: "-" 💜

👑 SEE ALSO 👑

tend(1) — go read that one too bestie, they're a set 🌈

and that's the whole page, mwah 💋 this one came from April 2021, the tender lovin' era, and it's part of the User Commands lineup, TEND-NORM(1), periodt. now go normalize something. slay 🦋✨