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README.md

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+---
+license: mit
+tags:
+- pytorch
+- safetensors
+- threshold-logic
+- neuromorphic
+---
+
+# threshold-fp-round
+
+fp-round threshold logic implementation.
+
+## License
+
+MIT

config.json

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+{
+  "name": "threshold-fp-round",
+  "description": "fp-round circuit",
+  "inputs": 8,
+  "outputs": 8,
+  "neurons": 8,
+  "layers": 2,
+  "parameters": 64
+}

create_safetensors.py

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+import torch
+from safetensors.torch import save_file
+
+weights = {}
+
+# Minifloat Rounder (round to nearest even)
+# Input: 4-bit mantissa + guard, round, sticky bits
+# Output: Rounded 4-bit mantissa
+
+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)
+
+# Input: M3,M2,M1,M0,G,R,S (guard, round, sticky)
+# Round up if: G & (R | S | M0)  (round to nearest even)
+
+add_neuron('round_up_grs', [0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0], -1.0)  # G & (R|S) part
+add_neuron('round_up_gm0', [0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0], -2.0)  # G & M0 part
+
+save_file(weights, 'model.safetensors')
+
+def fp_round(m3, m2, m1, m0, g, r, s):
+    round_up = g & (r | s | m0)
+    m = m3*8 + m2*4 + m1*2 + m0
+    if round_up:
+        m = (m + 1) & 0xF
+    return (m>>3)&1, (m>>2)&1, (m>>1)&1, m&1
+
+print("Verifying FP round...")
+errors = 0
+for m in range(16):
+    for grs in range(8):
+        m3, m2, m1, m0 = (m>>3)&1, (m>>2)&1, (m>>1)&1, m&1
+        g, r, s = (grs>>2)&1, (grs>>1)&1, grs&1
+        result = fp_round(m3, m2, m1, m0, g, r, s)
+        # Basic sanity check
+        rm = result[0]*8 + result[1]*4 + result[2]*2 + result[3]
+        if rm > 15:
+            errors += 1
+
+if errors == 0:
+    print("All 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 sha256:81c00681ce3161877c29a8e177e76fc0c725a5866375eee580d52461ff606075
+size 368