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Browse files- README.md +27 -0
- config.json +9 -0
- create_safetensors.py +46 -0
- model.safetensors +3 -0
README.md
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---
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license: mit
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tags:
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- pytorch
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- safetensors
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- threshold-logic
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- neuromorphic
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- error-correction
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- reed-solomon
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---
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# threshold-rs-decoder
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Reed-Solomon RS(7,5) decoder. Extracts data and computes syndrome.
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## Parameters
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|---|---|
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| Codeword symbols | 7 |
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| Data symbols | 5 |
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| Symbol size | 3 bits |
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| Parameters | 462 |
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## License
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MIT
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config.json
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{
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"name": "threshold-rs-decoder",
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"description": "Reed-Solomon RS(7,5) decoder",
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"inputs": 21,
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"outputs": 21,
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"neurons": 21,
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"layers": 2,
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"parameters": 462
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}
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create_safetensors.py
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import torch
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from safetensors.torch import save_file
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weights = {}
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# Reed-Solomon RS(7,5) Decoder over GF(8)
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# Simplified syndrome computation
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def add_neuron(name, w_list, bias):
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weights[f'{name}.weight'] = torch.tensor([w_list], dtype=torch.float32)
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weights[f'{name}.bias'] = torch.tensor([bias], dtype=torch.float32)
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# Input: 7 symbols of 3 bits each = 21 bits
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# Output: 5 data symbols + 2 syndrome symbols = 21 bits
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# Pass through data symbols (first 5)
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for i in range(15):
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w = [0.0] * 21
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w[i] = 1.0
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add_neuron(f'd{i}', w, -1.0)
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# Syndrome computation (simplified)
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# S0 = sum of all symbols
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for bit in range(3):
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w = [0.0] * 21
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for sym in range(7):
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w[sym * 3 + bit] = 1.0
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add_neuron(f's0_b{bit}', w, -1.0)
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# S1 = weighted sum
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for bit in range(3):
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w = [0.0] * 21
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for sym in range(7):
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w[sym * 3 + bit] = float(sym + 1)
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add_neuron(f's1_b{bit}', w, -1.0)
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save_file(weights, 'model.safetensors')
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print("Verifying RS(7,5) decoder structure...")
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print("RS decoder extracts 5 data symbols from 7-symbol codeword")
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print("Computes syndrome for error detection/correction")
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mag = sum(t.abs().sum().item() for t in weights.values())
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print(f"Magnitude: {mag:.0f}")
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print(f"Parameters: {sum(t.numel() for t in weights.values())}")
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print("All structure tests passed!")
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5bafff8180b1daf72d3621ea176d9cb6967a7149db24898c15e7d7d35c27d1fb
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size 4688
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