threshold-xor3-mag14

3-input XOR using cascade architecture with mag-7 XOR blocks.

Note: A flat 3-hidden architecture achieves magnitude 10. See threshold-xor3-mag10.

Architecture

a  b           c
β”‚  β”‚           β”‚
└──┴──┐        β”‚
      β–Ό        β”‚
   β”Œβ”€β”€β”€β”€β”€β”     β”‚
   β”‚XOR-7β”‚     β”‚
   β””β”€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”‚XOR-7β”‚
        β””β”€β”€β”¬β”€β”€β”˜
           β–Ό
      XOR3(a,b,c)

Parameters

Neurons 6 (3 per XOR)
Layers 4
Parameters 18
Magnitude 14 (2 Γ— 7)

Comparison

Version Magnitude Architecture
xor3 (base) 20 Cascade, original XOR
xor3-mag14 14 Cascade, mag-7 XOR
xor3-mag10 10 Flat 3-hidden

Usage

from safetensors.torch import load_file

w = load_file('model.safetensors')
# See model.py for implementation

License

MIT

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