threshold-reverse8

8-bit bit reversal. Reverses the order of bits.

Function

reverse8(a7, a6, a5, a4, a3, a2, a1, a0) = [a0, a1, a2, a3, a4, a5, a6, a7]

Examples

Input	Output
10000000	00000001
00000001	10000000
10101010	01010101
11110000	00001111

Architecture

Single layer with 8 neurons, each copying one input bit to its reversed position.

Output	Copies from	Weights	Bias
y0	a7	[1,0,0,0,0,0,0,0]	-1
y1	a6	[0,1,0,0,0,0,0,0]	-1
y2	a5	[0,0,1,0,0,0,0,0]	-1
y3	a4	[0,0,0,1,0,0,0,0]	-1
y4	a3	[0,0,0,0,1,0,0,0]	-1
y5	a2	[0,0,0,0,0,1,0,0]	-1
y6	a1	[0,0,0,0,0,0,1,0]	-1
y7	a0	[0,0,0,0,0,0,0,1]	-1

Parameters

Inputs	8
Outputs	8
Neurons	8
Layers	1
Parameters	16
Magnitude	16

Usage

from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def reverse8(a7, a6, a5, a4, a3, a2, a1, a0):
    inp = torch.tensor([float(a7), float(a6), float(a5), float(a4),
                        float(a3), float(a2), float(a1), float(a0)])
    return [int((inp @ w[f'y{i}.weight'].T + w[f'y{i}.bias'] >= 0).item())
            for i in range(8)]

print(reverse8(1, 0, 0, 0, 0, 0, 0, 0))  # [0, 0, 0, 0, 0, 0, 0, 1]

License

MIT