diff --git a/lib/Conversion/TorchToLinalg/DataMovement.cpp b/lib/Conversion/TorchToLinalg/DataMovement.cpp
index 42aacceab..e6ae601dc 100644
--- a/lib/Conversion/TorchToLinalg/DataMovement.cpp
+++ b/lib/Conversion/TorchToLinalg/DataMovement.cpp
@@ -795,17 +795,21 @@ public:
     auto resultType =
         typeConverter->convertType(op.getType()).cast<RankedTensorType>();
     int64_t resultRank = resultType.getRank();
-    if (resultRank == 0)
-      return rewriter.notifyMatchFailure(op,
-                                         "result shape of rank 0 is invalid");
+    if (resultRank == 0) {
+      rewriter
+          .replaceOpWithNewOp<tensor::CollapseShapeOp>(
+              op, resultType, input, ArrayRef<ReassociationIndices>())
+          .getResult();
+      return success();
+    }
 
     if (inputRank == 0) {
-      Value expanded =
-          rewriter
-              .create<tensor::ExpandShapeOp>(loc, resultType, input,
-                                             ArrayRef<ReassociationIndices>())
-              .getResult();
-      rewriter.replaceOp(op, expanded);
+      llvm::SmallVector<int64_t> outshape(resultRank, 1);
+      auto expandTy =
+          RankedTensorType::get(outshape, resultType.getElementType());
+      Value expand = rewriter.create<tensor::ExpandShapeOp>(
+          op.getLoc(), expandTy, input, ArrayRef<ReassociationIndices>());
+      rewriter.replaceOpWithNewOp<tensor::CastOp>(op, resultType, expand);
       return success();
     }
 
diff --git a/projects/pt1/e2e_testing/xfail_sets.py b/projects/pt1/e2e_testing/xfail_sets.py
index e2b198839..05ca09922 100644
--- a/projects/pt1/e2e_testing/xfail_sets.py
+++ b/projects/pt1/e2e_testing/xfail_sets.py
@@ -2144,7 +2144,6 @@ ONNX_XFAIL_SET = {
     "ReduceMaxUnsignedIntModule_basic",
 
     # Failure - torch.aten.view lower
-    "AddSizeIntModule_basic",
     "ElementwiseFlattenBroadcastModule_basic",
     "IndexTensorDyanmicInputContiguousWithNoneModule_basic",
     "IndexTensorDyanmicInputNonContiguousWithNoneModule_basic",