diff --git a/torchao/quantization/quant_api.py b/torchao/quantization/quant_api.py
index 6560915813..b2eff196fd 100644
--- a/torchao/quantization/quant_api.py
+++ b/torchao/quantization/quant_api.py
@@ -66,13 +66,21 @@
     Int8DynActInt4WeightGPTQQuantizer,
     Int8DynActInt4WeightQuantizer,
 )
-from .granularity import PerRow, PerTensor
+from .granularity import (
+    PerRow,
+    PerTensor,
+)
 from .linear_activation_quantized_tensor import (
     LinearActivationQuantizedTensor,
     to_linear_activation_quantized,
 )
-from .qat import intx_quantization_aware_training
-from .quant_primitives import MappingType, ZeroPointDomain
+from .qat import (
+    intx_quantization_aware_training,
+)
+from .quant_primitives import (
+    MappingType,
+    ZeroPointDomain,
+)
 from .subclass import (
     Int4WeightOnlyQuantizedLinearWeight,
     Int8DynamicallyQuantizedLinearWeight,
@@ -907,12 +915,10 @@ def int8_dynamic_activation_int8_semi_sparse_weight():
     Applies int8 dnynamic symmetric per-token activation and int8 per-channel weight
     quantization + 2:4 sparsity to linear layers.
     """
-    warnings.warn(
-        """int8_dyanmic_activation_int8_semi_sparse_weight() will be deprecated at a later release. Please use the layout kwarg in int8_dynamic_activation_int8_weight instead.
+    warnings.warn("""int8_dyanmic_activation_int8_semi_sparse_weight() will be deprecated at a later release. Please use the layout kwarg in int8_dynamic_activation_int8_weight instead.
 
     from torchao.dtypes import SemiSparseLayout
-    int8_dynamic_activation_int8_weight(layout=SemiSparseLayout()"""
-    )
+    int8_dynamic_activation_int8_weight(layout=SemiSparseLayout()""")
 
     return int8_dynamic_activation_int8_weight(layout=SemiSparseLayout())