Fix typo

src/nncf/quantization/algorithms/hyperparameter_tuner/param_grid.py

@@ -87,7 +87,7 @@ def _get_smooth_quant_param_grid() -> ParamGrid:
     alpha_values = [0.15, 0.25, 0.5, 0.75, 0.95]
     return {
         "advanced_parameters:smooth_quant_alphas": [
-            AdvancedSmoothQuantParameters(matmul=alpha_v) for alpha_v in itertools.product(alpha_values)
+            AdvancedSmoothQuantParameters(matmul=alpha_v) for (alpha_v,) in itertools.product(alpha_values)
         ]
     }
 

tests/common/hyperparameter_tuner/test_hyperparameter_tuner.py

@@ -19,6 +19,7 @@
 from nncf.quantization.algorithms.hyperparameter_tuner.algorithm import apply_combination
 from nncf.quantization.algorithms.hyperparameter_tuner.algorithm import create_combinations
 from nncf.quantization.algorithms.hyperparameter_tuner.algorithm import find_best_combination
+from nncf.quantization.algorithms.hyperparameter_tuner.param_grid import _get_smooth_quant_param_grid
 
 CombinationKey = tuple[int, ...]
 Combination = dict[str, Any]
@@ -471,3 +472,14 @@ def score_f(key):
     assert number_considered_combinations == score_function_call_count, (
         f"Expected {number_considered_combinations} combinations to be considered, but got {score_function_call_count}."
     )
+
+
+def test_smooth_quant_param_grid():
+    matmul_expected_alpha_values = [0.15, 0.25, 0.5, 0.75, 0.95]
+
+    param_grid = _get_smooth_quant_param_grid()
+    smooth_quant_alphas = param_grid["advanced_parameters:smooth_quant_alphas"]
+
+    for i, matmul_alpha in enumerate(matmul_expected_alpha_values):
+        smooth_quant_alphas[i].matmul == matmul_alpha
+        smooth_quant_alphas[i].convolution == -1