fix: replacing torch with numpy

insights/api/insight_api.py

@@ -130,8 +130,8 @@ def update_scores(self, rewards: np.float32, uids: List[int]):
             rewards = np.nan_to_num(rewards, 0)
 
         # Check if `uids` is already a tensor and clone it to avoid the warning.
-        if isinstance(uids, np.array):
-            uids_tensor = uids.clone().detach()
+        if isinstance(uids, np.ndarray):
+            uids_tensor = uids.copy()
         else:
             uids_tensor = np.array(uids)
 

neurons/storage.py

@@ -113,7 +113,7 @@ def get_commitment(netuid: int, uid: int, block: Optional[int] = None) -> str:
     except bt.errors.MetadataError as e:
         logger.warning("Skipping storing validator metadata", error = {'exception_type': e.__class__.__name__,'exception_message': str(e),'exception_args': e.args})
     except Exception as e:
-        logger.warning(f"Skipping storing validator metadata, error: {e}")
+        logger.warning(f"Skipping storing validator metadata,", error = {'exception_type': e.__class__.__name__,'exception_message': str(e),'exception_args': e.args})
 
 def get_miners_metadata(config, metagraph):
     def get_commitment(netuid: int, uid: int, block: Optional[int] = None) -> str:

neurons/validators/benchmark.py

@@ -3,6 +3,7 @@
 from random import randint
 from insights import protocol
 from neurons import logger
+import numpy as np
 
 
 class BenchmarkValidator:

template/base/validator.py

@@ -335,7 +335,7 @@ def update_scores(self, rewards: np.float32, uids: List[int]):
 
         # Check if `uids` is already a tensor and clone it to avoid the warning.
         if isinstance(uids, np.ndarray):
-            uids_tensor = uids.clone().detach()
+            uids_tensor = uids.copy()
         else:
             uids_tensor = np.array(uids)