diff --git a/.gitmodules b/.gitmodules
index 8b46098d9..3c50187b6 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -3,4 +3,4 @@
 	url = https://github.com/llvm/llvm-project.git
 [submodule "externals/stablehlo"]
 	path = externals/stablehlo
-	url = https://github.com/openxla/stablehlo.git
+	url = https://github.com/shark-infra/stablehlo.git
diff --git a/externals/llvm-external-projects/torch-mlir-dialects/lib/Dialect/TMTensor/IR/TMTensorOps.cpp b/externals/llvm-external-projects/torch-mlir-dialects/lib/Dialect/TMTensor/IR/TMTensorOps.cpp
index ba7ed76c8..dcb2f4215 100644
--- a/externals/llvm-external-projects/torch-mlir-dialects/lib/Dialect/TMTensor/IR/TMTensorOps.cpp
+++ b/externals/llvm-external-projects/torch-mlir-dialects/lib/Dialect/TMTensor/IR/TMTensorOps.cpp
@@ -233,7 +233,7 @@ LogicalResult AttentionOp::generateScalarImplementation(OpBuilder &b,
                  loc, init,
                  [&](OpBuilder &b, Location loc, Value elem, Value acc) {
                    Value x = b.create<memref::LoadOp>(loc, weight, localIVs);
-                   Value max = b.create<arith::MaxFOp>(loc, x, acc);
+                   Value max = b.create<arith::MaximumFOp>(loc, x, acc);
                    b.create<scf::ReduceReturnOp>(loc, max);
                  });
            })
diff --git a/externals/llvm-project b/externals/llvm-project
index 4acc3ffbb..f66cd9e95 160000
--- a/externals/llvm-project
+++ b/externals/llvm-project
@@ -1 +1 @@
-Subproject commit 4acc3ffbb0af5631bc7916aeff3570f448899647
+Subproject commit f66cd9e9556a53142a26a5c21a72e21f1579217c
diff --git a/lib/Conversion/TorchToLinalg/Reduction.cpp b/lib/Conversion/TorchToLinalg/Reduction.cpp
index 4078fbaa3..641f1ef8c 100644
--- a/lib/Conversion/TorchToLinalg/Reduction.cpp
+++ b/lib/Conversion/TorchToLinalg/Reduction.cpp
@@ -176,8 +176,8 @@ public:
 
           Value resultMax, predicate;
           if (inElementType.isa<mlir::FloatType>()) {
-            resultMax =
-                rewriter.create<arith::MaxFOp>(nestedLoc, newValue, oldValue);
+            resultMax = rewriter.create<arith::MaximumFOp>(nestedLoc, newValue,
+                                                           oldValue);
             predicate = rewriter.create<arith::CmpFOp>(
                 nestedLoc, arith::CmpFPredicate::OGT, newValue, oldValue);
           } else {
@@ -280,7 +280,7 @@ static Value createLinalgPayloadForReduceOp(OpBuilder &b, Location loc,
         convertScalarToDtype(b, loc, payloadArgs[0], resultElementType);
     Value result = payloadArgs[1];
     if (resultElementType.isa<mlir::FloatType>())
-      return b.create<arith::MaxFOp>(loc, self, result);
+      return b.create<arith::MaximumFOp>(loc, self, result);
     else if (resultElementType.isa<mlir::IntegerType>()) {
       IntegerType intType = max.getSelf()
                                 .getType()
@@ -297,7 +297,7 @@ static Value createLinalgPayloadForReduceOp(OpBuilder &b, Location loc,
         convertScalarToDtype(b, loc, payloadArgs[0], resultElementType);
     Value result = payloadArgs[1];
     if (resultElementType.isa<mlir::FloatType>())
-      return b.create<arith::MinFOp>(loc, self, result);
+      return b.create<arith::MinimumFOp>(loc, self, result);
     else if (resultElementType.isa<mlir::IntegerType>()) {
       IntegerType intType = min.getSelf()
                                 .getType()
diff --git a/lib/Conversion/TorchToTMTensor/TorchToTMTensor.cpp b/lib/Conversion/TorchToTMTensor/TorchToTMTensor.cpp
index ff2728764..d11a5524a 100644
--- a/lib/Conversion/TorchToTMTensor/TorchToTMTensor.cpp
+++ b/lib/Conversion/TorchToTMTensor/TorchToTMTensor.cpp
@@ -1332,7 +1332,7 @@ public:
             if (update.getType().isa<mlir::IntegerType>()) {
               result = b.create<arith::MaxSIOp>(loc, update, current);
             } else if (update.getType().isa<mlir::FloatType>()) {
-              result = b.create<arith::MaxFOp>(loc, update, current);
+              result = b.create<arith::MaximumFOp>(loc, update, current);
             } else {
               llvm_unreachable("Only integer/float types supported!");
             }
@@ -1340,7 +1340,7 @@ public:
             if (update.getType().isa<mlir::IntegerType>()) {
               result = b.create<arith::MinSIOp>(loc, update, current);
             } else if (update.getType().isa<mlir::FloatType>()) {
-              result = b.create<arith::MinFOp>(loc, update, current);
+              result = b.create<arith::MinimumFOp>(loc, update, current);
             } else {
               llvm_unreachable("Only integer/float types supported!");
             }