diff --git a/e2e_testing/torchscript/xfail_sets.py b/e2e_testing/torchscript/xfail_sets.py
index f0009a509..3dde793e5 100644
--- a/e2e_testing/torchscript/xfail_sets.py
+++ b/e2e_testing/torchscript/xfail_sets.py
@@ -29,6 +29,7 @@ TOSA_PASS_SET = {
     "ElementwiseFloorModule_basic",
     "ElementwiseLogModule_basic",
     "TanhBackward_basic",
+    "ElementwiseAddModule_basic",
     "ReturnThreeTensorFloat32_basic",
     "AddCMulModule_basic",
     "AddCDivModule_basic",
diff --git a/lib/Dialect/TorchConversion/Transforms/Passes.cpp b/lib/Dialect/TorchConversion/Transforms/Passes.cpp
index 89607c93e..ba513e6ff 100644
--- a/lib/Dialect/TorchConversion/Transforms/Passes.cpp
+++ b/lib/Dialect/TorchConversion/Transforms/Passes.cpp
@@ -11,6 +11,7 @@
 #include "mlir/Dialect/Linalg/Passes.h"
 #include "mlir/Dialect/MemRef/Transforms/Passes.h"
 #include "mlir/Dialect/StandardOps/Transforms/Passes.h"
+#include "mlir/Dialect/Tosa/Transforms/Passes.h"
 #include "mlir/Pass/PassManager.h"
 #include "mlir/Transforms/Passes.h"
 #include "torch-mlir/Conversion/TorchToLinalg/TorchToLinalg.h"
@@ -21,6 +22,7 @@
 
 using namespace mlir;
 using namespace mlir::torch;
+using namespace mlir::tosa;
 
 //===----------------------------------------------------------------------===//
 // Pass registration
@@ -89,6 +91,8 @@ void TorchConversion::createTorchBackendToTosaBackendPipeline(
       TorchConversion::createVerifyInvariantsBeforeBackendLoweringPass());
 
   pm.addNestedPass<FuncOp>(createConvertTorchToTosaPass());
+  // Perform rank broadcasting so TosaToLinalg pass works
+  pm.addNestedPass<FuncOp>(createTosaMakeBroadcastablePass());
 
   if (options.optimize) {
     // Clean up any non-canonical code introduced above..