threshold-reverse4

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

Function

reverse4(a3, a2, a1, a0) = [a0, a1, a2, a3]

Input	Output
0001	1000
1000	0001
0110	0110
1010	0101

Architecture

Single layer with 4 neurons, each copying one input bit to its reversed position.

Output	Copies from	Weights [a3,a2,a1,a0]	Bias
y3	a0	[0, 0, 0, 1]	-1
y2	a1	[0, 0, 1, 0]	-1
y1	a2	[0, 1, 0, 0]	-1
y0	a3	[1, 0, 0, 0]	-1

Parameters

Inputs	4
Outputs	4
Neurons	4
Layers	1
Parameters	8
Magnitude	8

Usage

from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def reverse4(a3, a2, a1, a0):
    inp = torch.tensor([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 [3, 2, 1, 0]]

print(reverse4(1, 0, 0, 0))  # [0, 0, 0, 1]

License

MIT