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README.md

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

config.json

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+{
+  "name": "threshold-fifo-ctrl",
+  "description": "fifo-ctrl 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 = {}
+
+# FIFO Controller (4-entry)
+# Manages read/write pointers and full/empty flags
+
+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: WR_PTR[1:0], RD_PTR[1:0], WRITE, READ (6 bits)
+# Output: NEW_WR_PTR[1:0], NEW_RD_PTR[1:0], FULL, EMPTY
+
+# Pointer increment logic
+add_neuron('wr_inc', [0.0, 0.0, 0.0, 0.0, 1.0, 0.0], -1.0)  # WRITE
+add_neuron('rd_inc', [0.0, 0.0, 0.0, 0.0, 0.0, 1.0], -1.0)  # READ
+
+# Full: WR_PTR+1 == RD_PTR
+# Empty: WR_PTR == RD_PTR
+add_neuron('ptrs_equal', [1.0, 1.0, -1.0, -1.0, 0.0, 0.0], 0.0)
+
+save_file(weights, 'model.safetensors')
+
+def fifo_ctrl(wr1, wr0, rd1, rd0, write, read):
+    wr = wr1*2 + wr0
+    rd = rd1*2 + rd0
+
+    if write:
+        wr = (wr + 1) % 4
+    if read:
+        rd = (rd + 1) % 4
+
+    empty = 1 if wr == rd else 0
+    full = 1 if (wr + 1) % 4 == rd else 0
+
+    return (wr>>1)&1, wr&1, (rd>>1)&1, rd&1, full, empty
+
+print("Verifying FIFO controller...")
+errors = 0
+for wr in range(4):
+    for rd in range(4):
+        for ops in range(4):
+            write, read = (ops>>1)&1, ops&1
+            wr1, wr0 = (wr>>1)&1, wr&1
+            rd1, rd0 = (rd>>1)&1, rd&1
+            result = fifo_ctrl(wr1, wr0, rd1, rd0, write, read)
+            # Basic sanity
+            if result[4] and result[5]:  # Can't be both full and empty
+                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 sha256:25e3a8ec4286b72080d65c87ab1449fb4c67ec536dc6d36afc6de566dd5a7536
+size 500