diff --git a/e2e_testing/xfail_sets.py b/e2e_testing/xfail_sets.py
index eaa981e94..6004f6b4a 100644
--- a/e2e_testing/xfail_sets.py
+++ b/e2e_testing/xfail_sets.py
@@ -455,6 +455,7 @@ TOSA_PASS_SET = {
     "ArgmaxModule_with_dim",
     "_LogSoftmaxModuleStable_basic",
     "ElementwiseAtenWhereSelfModule_basic",
+    "ElementwiseUnsqueezeBroadcastModule_basic",
     "LiftFreshCopyModule_basic",
     "ReduceSumDimIntListKeepDimNegativeDimStaticModule_basic",
     "ReduceSumDimIntListFloatModule_basic",
diff --git a/lib/Conversion/TorchToTosa/TorchToTosa.cpp b/lib/Conversion/TorchToTosa/TorchToTosa.cpp
index 8a01c77bb..c9b379e10 100644
--- a/lib/Conversion/TorchToTosa/TorchToTosa.cpp
+++ b/lib/Conversion/TorchToTosa/TorchToTosa.cpp
@@ -2435,7 +2435,7 @@ LogicalResult ConvertAtenOp<AtenUnsqueezeOp>::matchAndRewrite(
     return rewriter.notifyMatchFailure(op, "dim must be a Scalar constant");
 
   dim = toPositiveDim(dim, selfRank);
-  if (!isValidDim(dim, selfRank))
+  if (!isValidDim(dim, selfRank + 1))
     return rewriter.notifyMatchFailure(op, "dim is statically invalid");
 
   SmallVector<int64_t> outShape;
diff --git a/test/Conversion/TorchToTosa/basic.mlir b/test/Conversion/TorchToTosa/basic.mlir
index cfa12f522..f788deefb 100644
--- a/test/Conversion/TorchToTosa/basic.mlir
+++ b/test/Conversion/TorchToTosa/basic.mlir
@@ -690,18 +690,18 @@ func.func @torch.aten.zeros$basic() -> !torch.vtensor<[3,4],f32> {
 // -----
 
 // CHECK-LABEL:   func.func @torch.aten.unsqueeze$basic(
-// CHECK-SAME:                                     %[[VAL_0:.*]]: !torch.vtensor<[4,3],si32>) -> !torch.vtensor<[4,1,3],si32> {
+// CHECK-SAME:                                          %[[VAL_0:.*]]: !torch.vtensor<[4,3],si32>) -> !torch.vtensor<[4,3,1],si32> {
 // CHECK:           %[[VAL_1:.*]] = torch_c.to_builtin_tensor %[[VAL_0]] : !torch.vtensor<[4,3],si32> -> tensor<4x3xi32>
-// CHECK:           %[[VAL_2:.*]] = torch.constant.int 1
-// CHECK:           %[[VAL_3:.*]] = "tosa.reshape"(%[[VAL_1]]) {new_shape = [4, 1, 3]} : (tensor<4x3xi32>) -> tensor<4x1x3xi32>
-// CHECK:           %[[VAL_4:.*]] = torch_c.from_builtin_tensor %[[VAL_3]] : tensor<4x1x3xi32> -> !torch.vtensor<[4,1,3],si32>
-// CHECK:           return %[[VAL_4]] : !torch.vtensor<[4,1,3],si32>
+// CHECK:           %[[VAL_2:.*]] = torch.constant.int 2
+// CHECK:           %[[VAL_3:.*]] = "tosa.reshape"(%[[VAL_1]]) {new_shape = [4, 3]} : (tensor<4x3xi32>) -> tensor<4x3x1xi32>
+// CHECK:           %[[VAL_4:.*]] = torch_c.from_builtin_tensor %[[VAL_3]] : tensor<4x3x1xi32> -> !torch.vtensor<[4,3,1],si32>
+// CHECK:           return %[[VAL_4]] : !torch.vtensor<[4,3,1],si32>
 // CHECK:         }
 
-func.func @torch.aten.unsqueeze$basic(%arg0: !torch.vtensor<[4,3],si32> ) -> !torch.vtensor<[4,1,3],si32> {
-  %int1 = torch.constant.int 1
-  %0 = torch.aten.unsqueeze %arg0, %int1 : !torch.vtensor<[4,3],si32>, !torch.int -> !torch.vtensor<[4,1,3],si32>
-  return %0 : !torch.vtensor<[4,1,3],si32>
+func.func @torch.aten.unsqueeze$basic(%arg0: !torch.vtensor<[4,3],si32> ) -> !torch.vtensor<[4,3,1],si32> {
+  %int2 = torch.constant.int 2
+  %0 = torch.aten.unsqueeze %arg0, %int2 : !torch.vtensor<[4,3],si32>, !torch.int -> !torch.vtensor<[4,3,1],si32>
+  return %0 : !torch.vtensor<[4,3,1],si32>
 }
 
 // -----