diff --git a/lib/Dialect/Torch/Transforms/DecomposeComplexOps.cpp b/lib/Dialect/Torch/Transforms/DecomposeComplexOps.cpp
index 162271237f77..1ee57b60f248 100644
--- a/lib/Dialect/Torch/Transforms/DecomposeComplexOps.cpp
+++ b/lib/Dialect/Torch/Transforms/DecomposeComplexOps.cpp
@@ -7329,7 +7329,6 @@ class DecomposeAtenAdaptiveMaxPool1dOp
     Value constantZero = rewriter.create<Torch::ConstantIntOp>(
         loc, rewriter.getI64IntegerAttr(0));
     Value constantFalse = rewriter.create<Torch::ConstantBoolOp>(loc, false);
-    Value constantTrue = rewriter.create<Torch::ConstantBoolOp>(loc, true);
 
     int64_t outputSizeInt;
     if (!matchPattern(outputSize, m_TorchConstantInt(&outputSizeInt))) {
diff --git a/projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py b/projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py
index 829d1988df08..f3227f29b5ce 100644
--- a/projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py
+++ b/projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py
@@ -617,7 +617,9 @@ def emit_with_mutating_variants(key, **kwargs):
         "aten::native_layer_norm : (Tensor, int[], Tensor?, Tensor?, float) -> (Tensor, Tensor, Tensor)"
     )
     emit("aten::max_pool1d : (Tensor, int[], int[], int[], int[], bool) -> (Tensor)")
-    emit("aten::max_pool1d_with_indices : (Tensor, int[], int[], int[], int[], bool) -> (Tensor, Tensor)")
+    emit(
+        "aten::max_pool1d_with_indices : (Tensor, int[], int[], int[], int[], bool) -> (Tensor, Tensor)"
+    )
     emit("aten::max_pool2d : (Tensor, int[], int[], int[], int[], bool) -> (Tensor)")
     emit("aten::max_unpool2d : (Tensor, Tensor, int[]) -> (Tensor)")
     emit(
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/pooling.py b/projects/pt1/python/torch_mlir_e2e_test/test_suite/pooling.py
index dc139dc68935..84e0e2eb9cf5 100644
--- a/projects/pt1/python/torch_mlir_e2e_test/test_suite/pooling.py
+++ b/projects/pt1/python/torch_mlir_e2e_test/test_suite/pooling.py
@@ -1782,6 +1782,7 @@ def forward(self, x):
 def AdaptiveMaxPool1dStatic_basic(module, tu: TestUtils):
     module.forward(tu.rand(1, 512, 10))
 
+
 class AdaptiveMaxPool1dDimOneStatic(torch.nn.Module):
     def __init__(self):
         super().__init__()
@@ -1797,6 +1798,7 @@ def forward(self, x):
 def AdaptiveMaxPool1dDimOneStatic_basic(module, tu: TestUtils):
     module.forward(tu.rand(1, 512, 7))
 
+
 # AdaptiveMaxPool2d