diff --git a/lib/Transform/XTenMinimizeLiveTensors.cpp b/lib/Transform/XTenMinimizeLiveTensors.cpp
index 6b5f5cc9..855b683f 100644
--- a/lib/Transform/XTenMinimizeLiveTensors.cpp
+++ b/lib/Transform/XTenMinimizeLiveTensors.cpp
@@ -199,7 +199,7 @@ FailureOr<SmallVector<Value>> getFmOperands(Operation *op) {
     return {getSubgraphIFMs(op)};
 
   if (isTemplatedGraph(op))
-    return {op->getOperands()};
+    return {getSubgraphIFMs(op)};
 
   // Otherwise, this is a PseudoOp and IFM is the first operand.
   if (!(isAnyPseudoOp(op) || isInterfaceOp(op))) {
@@ -225,7 +225,8 @@ size_t getSize(Value val) {
 
   if (auto complexType = elementType.dyn_cast<ComplexType>()) {
     elementType = complexType.getElementType();
-    return (elementType.getIntOrFloatBitWidth() * type.getNumElements() * 2) / 8;
+    return (elementType.getIntOrFloatBitWidth() * type.getNumElements() * 2) /
+           8;
   }
   llvm_unreachable("Does not know how to compute size");
 }
@@ -299,7 +300,8 @@ class XTenMinimizeLiveTensorsPass
       } else {
         fmResults = SmallVector<Value>(currFn.getBody().front().getArguments());
       }
-      std::optional<Value> const sharesResultMemory = sharesMemoryWithResult(defOp);
+      std::optional<Value> const sharesResultMemory =
+          sharesMemoryWithResult(defOp);
       OpInfo info = {.op = defOp,
                      .operands = *fmOperands,
                      .results = fmResults,
diff --git a/test/Transform/XTenMinimizeLiveTensors/other_subgraphs.mlir b/test/Transform/XTenMinimizeLiveTensors/other_subgraphs.mlir
index f2df3a4f..c75e5976 100644
--- a/test/Transform/XTenMinimizeLiveTensors/other_subgraphs.mlir
+++ b/test/Transform/XTenMinimizeLiveTensors/other_subgraphs.mlir
@@ -361,4 +361,19 @@ func.func @support_for_inteface_op(%arg0: tensor<1x3x224x224xf32>) -> tensor<1x6
     xten_nn.output %6 : tensor<1x64x56x56xf32>
   } -> tensor<1x64x56x56xf32>
   return %3 : tensor<1x64x56x56xf32>
+}
+
+// -----
+
+// CHECK-LABEL: func.func @tg_with_constant_ops
+// CHECK: LayerName = "TGConst"{{.*}} Reason = "TemplatedGraph"
+func.func @tg_with_constant_ops(%arg0: tensor<1x1x64x8xbf16>) -> tensor<1x1x64x8xbf16> {
+  %0 = xten_nn.load_external_const {file = "constants.h5", key = "Test/Constant_2_0"} -> tensor<8xbf16>
+  %1 = xten_nn.load_external_const {file = "constants.h5", key = "Test/Constant_1_0"} -> tensor<8xbf16>
+  %2 = xten_nn.subgraph (%arg1 = %arg0: tensor<1x1x64x8xbf16>, %arg2 = %1: tensor<8xbf16>, %arg3 = %0: tensor<8xbf16>)  attributes {IfmOperands = [0 : index], LayerName = "TGConst", Reason = "TemplatedGraph"}
+    {     
+       %6 = tensor.empty() : tensor<1x1x64x8xbf16>
+       xten_nn.output %6 : tensor<1x1x64x8xbf16>  
+    } -> tensor<1x1x64x8xbf16>    
+  return %2 : tensor<1x1x64x8xbf16>
 }
\ No newline at end of file