Fix tensor dtype mismatch in ranker

app/services/recommender.py

@@ -140,10 +140,29 @@ class RecommenderService:
         autocast_ctx = torch.autocast(device_type=mgr.device.type) if mgr.device.type == 'cuda' else contextlib.nullcontext()
         
         with torch.no_grad(), autocast_ctx:
-            t_tab = torch.tensor(tab_feats, device=mgr.device).unsqueeze(0)
-            t_f = torch.tensor(franchise_ids, device=mgr.device).unsqueeze(0)
-            t_cands = torch.tensor(padded_cands, device=mgr.device).unsqueeze(0)
-            t_mask = torch.tensor(valid_mask, device=mgr.device).unsqueeze(0)
+            t_tab = torch.tensor(
+                tab_feats,
+                dtype=torch.float32,
+                device=mgr.device
+            ).unsqueeze(0)
+            
+            t_f = torch.tensor(
+                franchise_ids,
+                dtype=torch.long,
+                device=mgr.device
+            ).unsqueeze(0)
+
+            t_cands = torch.tensor(
+                padded_cands,
+                dtype=torch.long,
+                device=mgr.device
+            ).unsqueeze(0)
+
+            t_mask = torch.tensor(
+                valid_mask,
+                dtype=torch.bool,
+                device=mgr.device
+            ).unsqueeze(0)
 
             logits = mgr.ranker(t_tab, t_f, t_cands, t_mask).squeeze(0)
             logits = logits.masked_fill(~torch.tensor(valid_mask, device=mgr.device), -float('inf'))