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README.md

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+---
+license: mit
+tags:
+- pytorch
+- safetensors
+- threshold-logic
+- neuromorphic
+- sequential
+- register
+---
+
+# threshold-pipo
+
+4-bit Parallel-In Parallel-Out register with enable.
+
+## Circuit
+
+```
+D3   D2   D1   D0
+ │    │    │    │
+ ▼    ▼    ▼    ▼
+[Q3] [Q2] [Q1] [Q0]  ← EN
+
+EN=1: Q = D (load)
+EN=0: Q holds
+```
+
+## Parameters
+
+| | |
+|---|---|
+| Inputs | 9 |
+| Outputs | 4 |
+| Neurons | 8 |
+| Parameters | 80 |
+| Magnitude | 24 |
+
+## License
+
+MIT

config.json

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+{
+  "name": "threshold-pipo",
+  "description": "4-bit PIPO register",
+  "inputs": 9,
+  "outputs": 4,
+  "neurons": 8,
+  "layers": 2,
+  "parameters": 80
+}

create_safetensors.py

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+import torch
+from safetensors.torch import save_file
+
+weights = {}
+
+# 4-bit PIPO (Parallel In, Parallel Out) Register
+# Input: D[3:0] (data input), EN (enable)
+# Output: Q[3:0] (when EN=1, Q = D; when EN=0, Q holds)
+
+def add_neuron(name, w_list, bias):
+    weights[f'{name}.weight'] = torch.tensor([w_list], dtype=torch.float32)
+    weights[f'{name}.bias'] = torch.tensor([bias], dtype=torch.float32)
+
+# Inputs: Q3=0, Q2=1, Q1=2, Q0=3, D3=4, D2=5, D1=6, D0=7, EN=8
+
+# N3: EN ? D3 : Q3
+add_neuron('n3_new', [0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0], -2.0)  # D3 AND EN
+add_neuron('n3_hold', [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0], 0.0)  # Q3 AND NOT EN
+
+# N2: EN ? D2 : Q2
+add_neuron('n2_new', [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0], -2.0)
+add_neuron('n2_hold', [0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0], 0.0)
+
+# N1: EN ? D1 : Q1
+add_neuron('n1_new', [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0], -2.0)
+add_neuron('n1_hold', [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0], 0.0)
+
+# N0: EN ? D0 : Q0
+add_neuron('n0_new', [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0], -2.0)
+add_neuron('n0_hold', [0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0], 0.0)
+
+save_file(weights, 'model.safetensors')
+
+def pipo(q3, q2, q1, q0, d3, d2, d1, d0, en):
+    if en:
+        return d3, d2, d1, d0
+    else:
+        return q3, q2, q1, q0
+
+print("Verifying 4-bit PIPO register...")
+errors = 0
+for q in range(16):
+    for d in range(16):
+        for en in [0, 1]:
+            q3, q2, q1, q0 = (q>>3)&1, (q>>2)&1, (q>>1)&1, q&1
+            d3, d2, d1, d0 = (d>>3)&1, (d>>2)&1, (d>>1)&1, d&1
+            n3, n2, n1, n0 = pipo(q3, q2, q1, q0, d3, d2, d1, d0, en)
+            result = n3*8 + n2*4 + n1*2 + n0
+            expected = d if en else q
+            if result != expected:
+                errors += 1
+
+if errors == 0:
+    print("All 512 test cases passed!")
+else:
+    print(f"FAILED: {errors} errors")
+
+mag = sum(t.abs().sum().item() for t in weights.values())
+print(f"Magnitude: {mag:.0f}")
+print(f"Parameters: {sum(t.numel() for t in weights.values())}")

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8cf0c752cdc7d15ae2014e1c972b6d1025e9ee58cfd9bbe1d3ba83df547f94a0
+size 1432