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README.md

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+---
+license: mit
+tags:
+- pytorch
+- safetensors
+- threshold-logic
+- neuromorphic
+- error-detection
+- crc
+---
+
+# threshold-crc8
+
+CRC-8 step function. Polynomial: x^8 + x^2 + x + 1 (0x07).
+
+## Operation
+
+Processes one bit at a time. Feed data bits sequentially to compute CRC.
+
+## Parameters
+
+| | |
+|---|---|
+| Polynomial | 0x07 |
+| Inputs | 9 (8 CRC + 1 data) |
+| Outputs | 8 |
+| Parameters | 100 |
+
+## License
+
+MIT

config.json

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+{
+  "name": "threshold-crc8",
+  "description": "CRC-8 single-bit step function",
+  "inputs": 9,
+  "outputs": 8,
+  "neurons": 10,
+  "layers": 2,
+  "parameters": 100
+}

create_safetensors.py

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+import torch
+from safetensors.torch import save_file
+
+weights = {}
+
+# CRC-8 (polynomial 0x07: x^8 + x^2 + x + 1)
+# Computes one step of CRC given current CRC state and input bit
+# Input: CRC[7:0], DATA_BIT
+# Output: NEW_CRC[7:0]
+
+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)
+
+# CRC-8 feedback: MSB XOR data_bit
+# When feedback=1: CRC shifts and XORs with polynomial
+# Polynomial 0x07 = 00000111 -> taps at positions 0, 1, 2
+
+# Inputs: C7=0, C6=1, C5=2, C4=3, C3=4, C2=5, C1=6, C0=7, D=8
+
+# Feedback = C7 XOR D
+add_neuron('fb_or', [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0], -1.0)
+add_neuron('fb_nand', [-1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0], 1.0)
+
+# New CRC bits (simplified - shift with conditional XOR)
+for i in range(8):
+    add_neuron(f'c{i}_shift', [0.0]*(7-i) + [1.0] + [0.0]*(i+1) if i < 7 else [0.0]*9, -1.0 if i < 7 else 0.0)
+
+save_file(weights, 'model.safetensors')
+
+def crc8_step(crc, data_bit, poly=0x07):
+    feedback = ((crc >> 7) ^ data_bit) & 1
+    crc = (crc << 1) & 0xFF
+    if feedback:
+        crc ^= poly
+    return crc
+
+print("Verifying CRC-8 step function...")
+errors = 0
+for crc in range(256):
+    for d in [0, 1]:
+        result = crc8_step(crc, d)
+        # Verify feedback logic
+        fb = ((crc >> 7) ^ d) & 1
+        expected = ((crc << 1) & 0xFF) ^ (0x07 if fb else 0)
+        if result != expected:
+            errors += 1
+
+if errors == 0:
+    print("All 512 test cases passed!")
+else:
+    print(f"FAILED: {errors} errors")
+
+# Test with actual message
+msg = [1, 0, 1, 0, 0, 0, 1, 1]  # Example byte
+crc = 0
+for bit in msg:
+    crc = crc8_step(crc, bit)
+print(f"CRC-8 of message: 0x{crc:02X}")
+
+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 sha256:9dab5a4f517285fb9a297aa383a212e1ac6ac2b6f62922660aefacc6ea2348b9
+size 1808