ignore no optimizations

app.py

@@ -156,13 +156,17 @@ def filter_query(
         raw_df["model"].str.lower().str.contains(text.lower())
         & raw_df["backend.name"].isin(backends)
         & raw_df["backend.torch_dtype"].isin(datatypes)
-        & pd.concat(
-            [
-                raw_df["optimizations"].str.contains(optimization)
-                for optimization in optimizations
-            ],
-            axis=1,
-        ).any(axis=1)
+        & (
+            pd.concat(
+                [
+                    raw_df["optimizations"].str.contains(optimization)
+                    for optimization in optimizations
+                ],
+                axis=1,
+            ).any(axis="columns")
+            if len(optimizations) > 0
+            else True
+        )
         & (raw_df["average"] >= threshold)
     ]