Increase competition incentive (#80)

inference-labs-inc · Feb 19, 2025 · 97b392d · 97b392d
1 parent 2c7234b
commit 97b392d
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Showing 3 changed files with 9 additions and 20 deletions.
diff --git a/...ent_layer/model_1e6fcdaea58741e7248b631718dda90398a17b294480beb12ce8232e27ca3bff/input.py b/...ent_layer/model_1e6fcdaea58741e7248b631718dda90398a17b294480beb12ce8232e27ca3bff/input.py
@@ -13,8 +13,8 @@
 FLATTENING_COEFFICIENT = 0.9
 PROOF_SIZE_THRESHOLD = 3648
 PROOF_SIZE_WEIGHT = 0
-RESPONSE_TIME_WEIGHT = 0.75
-COMPETITION_WEIGHT = 0.25
+RESPONSE_TIME_WEIGHT = 0.5
+COMPETITION_WEIGHT = 0.5
 MAXIMUM_RESPONSE_TIME_DECIMAL = 0.99
 SCALING = 100000000
 

diff --git a/...ent_layer/model_fa0d509d52abe2d1e809124f8aba46258a02f7253582f7b7f5a22e1e0bca0dfb/input.py b/...ent_layer/model_fa0d509d52abe2d1e809124f8aba46258a02f7253582f7b7f5a22e1e0bca0dfb/input.py
@@ -13,8 +13,8 @@
 FLATTENING_COEFFICIENT = 0.9
 PROOF_SIZE_THRESHOLD = 3648
 PROOF_SIZE_WEIGHT = 0
-RESPONSE_TIME_WEIGHT = 0.75
-COMPETITION_WEIGHT = 0.25
+RESPONSE_TIME_WEIGHT = 0.5
+COMPETITION_WEIGHT = 0.5
 MAXIMUM_RESPONSE_TIME_DECIMAL = 0.99
 SCALING = 100000000
 

diff --git a/neurons/incentive_mechanism.ipynb b/neurons/incentive_mechanism.ipynb
@@ -31,7 +31,8 @@
                 "from _validator.models.request_type import RequestType\n",
                 "from execution_layer.generic_input import GenericInput\n",
                 "\n",
-                "RESPONSE_TIME_WEIGHT = 0.75\n",
+                "COMPETITION_WEIGHT = 0.9\n",
+                "RESPONSE_TIME_WEIGHT = 0.1\n",
                 "MAX_RESPONSE_TIME = 30\n",
                 "MIN_RESPONSE_TIME = 0\n",
                 "NUM_KEYS_TO_SIMULATE = 256\n",
@@ -73,9 +74,8 @@
                 "        \"PROOF_SIZE_WEIGHT\": int(PROOF_SIZE_WEIGHT * scale),\n",
                 "        \"PROOF_SIZE_THRESHOLD\": int(PROOF_SIZE_THRESHOLD * scale),\n",
                 "        \"RESPONSE_TIME_WEIGHT\": int(RESPONSE_TIME_WEIGHT * scale),\n",
-                "        \"ACCURACY_WEIGHT\": int(ACCURACY_WEIGHT * scale),\n",
+                "        \"COMPETITION_WEIGHT\": int(COMPETITION_WEIGHT * scale),\n",
                 "        \"MAXIMUM_RESPONSE_TIME_DECIMAL\": int(MAXIMUM_RESPONSE_TIME_DECIMAL * scale),\n",
-                "\n",
                 "        \"maximum_score\": (batch_inputs[\"maximum_score\"] * scale).int().tolist(),\n",
                 "        \"previous_score\": (batch_inputs[\"previous_score\"] * scale).int().tolist(),\n",
                 "        \"verified\": batch_inputs[\"verified\"].tolist(),\n",
@@ -91,21 +91,10 @@
                 "        \"block_number\": batch_inputs[\"block_number\"].tolist(),\n",
                 "        \"validator_uid\": batch_inputs[\"validator_uid\"].tolist(),\n",
                 "        \"miner_uid\": batch_inputs[\"miner_uid\"].tolist(),\n",
+                "        \"scaling\": scale,\n",
                 "    }\n",
                 "\n",
-                "    inputs[\"scaling\"] = scale\n",
-                "    inputs[\"RATE_OF_DECAY\"] = int(RATE_OF_DECAY * scale)\n",
-                "    inputs[\"RATE_OF_RECOVERY\"] = int(RATE_OF_RECOVERY * scale)\n",
-                "    inputs[\"FLATTENING_COEFFICIENT\"] = int(FLATTENING_COEFFICIENT * scale)\n",
-                "    inputs[\"PROOF_SIZE_WEIGHT\"] = int(PROOF_SIZE_WEIGHT * scale)\n",
-                "    inputs[\"PROOF_SIZE_THRESHOLD\"] = int(PROOF_SIZE_THRESHOLD * scale)\n",
-                "    inputs[\"RESPONSE_TIME_WEIGHT\"] = int(RESPONSE_TIME_WEIGHT * scale)\n",
-                "    inputs[\"MAXIMUM_RESPONSE_TIME_DECIMAL\"] = int(\n",
-                "        MAXIMUM_RESPONSE_TIME_DECIMAL * scale\n",
-                "    )\n",
-                "    inputs[\"COMPETITION_WEIGHT\"] = int(0.25 * scale)\n",
-                "\n",
-                "    session = VerifiedModelSession(GenericInput(RequestType.RWR, inputs), circuit)\n",
+                "    session = VerifiedModelSession(GenericInput(RequestType.RWR, modified_inputs), circuit)\n",
                 "    scores = None\n",
                 "    if circuit.proof_system == ProofSystem.CIRCOM:\n",
                 "        witness_content = session.generate_witness(return_content=True)\n",