diff --git a/gradlib/gemm_runner.py b/gradlib/gemm_runner.py
index 07bddde61190d..39a6911e138d1 100644
--- a/gradlib/gemm_runner.py
+++ b/gradlib/gemm_runner.py
@@ -37,7 +37,8 @@ def mm(self, inp, weights):
                                          n=inp.shape[0],
                                          k=inp.shape[1])
         if soltype == 1:
-            out = torch.ops._gradlib_C.hipb_mm(inp, weights.t(), solidx, None, None, None, None, None)
+            out = torch.ops._gradlib_C.hipb_mm(inp, weights.t(), solidx, None,
+                                               None, None, None, None)
         elif soltype == 2:
             out = torch.ops._gradlib_C.rocb_mm(inp, weights.t(), solidx)
         else:
diff --git a/gradlib/gemm_tuner.py b/gradlib/gemm_tuner.py
index 08b4edf0839ac..bfde36eed4ec5 100644
--- a/gradlib/gemm_tuner.py
+++ b/gradlib/gemm_tuner.py
@@ -4,7 +4,7 @@
 from pathlib import Path
 
 import torch  # isort: split
-import vllm._gradlib_C
+import vllm._gradlib_C  # noqa: F401
 import pandas as pd
 
 from gradlib.GemmTuner import GemmTuner
diff --git a/vllm/model_executor/layers/tuned_gemm.py b/vllm/model_executor/layers/tuned_gemm.py
index 7ec92f5dc66ef..a441ca5def07b 100644
--- a/vllm/model_executor/layers/tuned_gemm.py
+++ b/vllm/model_executor/layers/tuned_gemm.py
@@ -64,6 +64,7 @@ def create_ds(self):
                 soltype = 2
             solds[key] = (soltype, int(ds['solidx']))
         self.solids = solds
+
     def query_sol(self, m, n, k, bias, dtype):
         return self.solids.get((m, n, k, bias, str(dtype)), (0, 0))