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  1. README.md +16 -0
  2. config.json +9 -0
  3. create_safetensors.py +57 -0
  4. model.safetensors +3 -0
README.md ADDED
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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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+ ---
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+
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+ # threshold-priority-arbiter
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+
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+ priority-arbiter threshold logic implementation.
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+
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+ ## License
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+
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+ MIT
config.json ADDED
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+ {
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+ "name": "threshold-priority-arbiter",
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+ "description": "priority-arbiter circuit",
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+ "inputs": 8,
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+ "outputs": 8,
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+ "neurons": 8,
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+ "layers": 2,
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+ "parameters": 64
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+ }
create_safetensors.py ADDED
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+ import torch
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+ from safetensors.torch import save_file
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+
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+ weights = {}
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+
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+ # 4-input Fixed Priority Arbiter
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+ # Priority: REQ0 > REQ1 > REQ2 > REQ3
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+
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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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+
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+ # Input: REQ3, REQ2, REQ1, REQ0
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+ # Grant 0: REQ0
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+ add_neuron('g0', [0.0, 0.0, 0.0, 1.0], -1.0)
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+
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+ # Grant 1: REQ1 AND NOT REQ0
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+ add_neuron('g1', [0.0, 0.0, 1.0, -1.0], 0.0)
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+
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+ # Grant 2: REQ2 AND NOT REQ1 AND NOT REQ0
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+ add_neuron('g2', [0.0, 1.0, -1.0, -1.0], 1.0)
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+
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+ # Grant 3: REQ3 AND NOT REQ2 AND NOT REQ1 AND NOT REQ0
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+ add_neuron('g3', [1.0, -1.0, -1.0, -1.0], 2.0)
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+
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+ save_file(weights, 'model.safetensors')
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+
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+ def priority_arb(r3, r2, r1, r0):
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+ if r0:
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+ return 0, 0, 0, 1
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+ elif r1:
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+ return 0, 0, 1, 0
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+ elif r2:
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+ return 0, 1, 0, 0
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+ elif r3:
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+ return 1, 0, 0, 0
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+ return 0, 0, 0, 0
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+
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+ print("Verifying priority arbiter...")
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+ errors = 0
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+ for reqs in range(16):
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+ r3, r2, r1, r0 = (reqs>>3)&1, (reqs>>2)&1, (reqs>>1)&1, reqs&1
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+ result = priority_arb(r3, r2, r1, r0)
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+ grant_count = sum(result)
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+ if reqs > 0 and grant_count != 1:
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+ errors += 1
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+ if reqs == 0 and grant_count != 0:
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+ errors += 1
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+
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+ if errors == 0:
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+ print("All 16 test cases passed!")
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+ else:
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+ print(f"FAILED: {errors} errors")
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+
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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())}")
model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a2c5721d8e0b4e71a725b313b52fdc4aa385badc254ca9358f6f0f8873279d8d
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+ size 592