clz4(a3, a2, a1, a0) = number of leading zeros from MSB
Truth Table (selected rows)
Input
First 1
CLZ
Output
1xxx
bit 3
0
000
01xx
bit 2
1
001
001x
bit 1
2
010
0001
bit 0
3
011
0000
none
4
100
Architecture
Layer 1: Priority detection from MSB
has3 = a3 (MSB is set, clz=0)
has2_first = a2 AND NOT(a3) (clz=1)
has1_first = a1 AND NOT(a2) AND NOT(a3) (clz=2)
has0_first = a0 AND NOT(a1) AND NOT(a2) AND NOT(a3) (clz=3)
all_zero = NOT(any bit) (clz=4)
Layer 2: Binary encoding
y0 = has2_first OR has0_first (clz is 1 or 3)
y1 = has1_first OR has0_first (clz is 2 or 3)
y2 = all_zero (clz is 4)
Parameters
Inputs
4
Outputs
3
Neurons
8
Layers
2
Parameters
39
Magnitude
26
Usage
from safetensors.torch import load_file
# See model.py for full implementation# clz4(1, 0, 0, 0) = [0, 0, 0] = 0 (MSB is set)# clz4(0, 0, 1, 0) = [0, 1, 0] = 2 (two leading zeros)# clz4(0, 0, 0, 0) = [1, 0, 0] = 4 (all zeros)
License
MIT
Runs of phanerozoic threshold-clz4 on huggingface.co
7
Total runs
-2
24-hour runs
-3
3-day runs
-3
7-day runs
2
30-day runs
More Information About threshold-clz4 huggingface.co Model
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