threshold-nor4

4-input NOR gate. Outputs 1 only when all inputs are 0.

Circuit

  x1  x2  x3  x4
   β”‚   β”‚   β”‚   β”‚
   β””β”€β”€β”€β”΄β”€β”€β”€β”΄β”€β”€β”€β”˜
         β”‚
         β–Ό
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚w:-1,-1,-1,-1β”‚
    β”‚ b: 0     β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚
         β–Ό
  NOR4(x1,x2,x3,x4)

Parameters

Weights [-1, -1, -1, -1]
Bias 0
Magnitude 4

Optimality

Exhaustive enumeration of 681 configurations confirms magnitude 4 is optimal. 1 valid configuration exists.

Magnitude Valid Configs
0-3 0
4 1

Usage

from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def nor4(x1, x2, x3, x4):
    inputs = torch.tensor([float(x1), float(x2), float(x3), float(x4)])
    return int((inputs * w['weight']).sum() + w['bias'] >= 0)

License

MIT

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