diff --git a/tf_adapter_2.x/npu_device/core/op_executors/npu_static_shape_op.cpp b/tf_adapter_2.x/npu_device/core/op_executors/npu_static_shape_op.cpp
index f3c58b2330aa0bbaccbd3a582645d223375b0451..84668f73796289c3d431a8ba7b0101f5edd081db 100644
--- a/tf_adapter_2.x/npu_device/core/op_executors/npu_static_shape_op.cpp
+++ b/tf_adapter_2.x/npu_device/core/op_executors/npu_static_shape_op.cpp
@@ -39,16 +39,10 @@ std::string NpuStaticShapeOp::AttachedDebugString() const {
   return ss.str();
 }
 
-#ifdef TFA2_COMPILED_FOR_EAGER_MODE
-#define TFA2_EAGER_ENABLED true
-#else
-#define TFA2_EAGER_ENABLED false
-#endif
-
 void NpuStaticShapeOp::RunWithShape(TFE_Context *context, NpuDevice *device, const OpExecutor *spec,
                                     TensorShapes output_shapes, int num_inputs, TFE_TensorHandle **inputs,
                                     int num_outputs, TFE_TensorHandle **outputs, TF_Status *status) {
-  if (kGraphEngineGreedyMemory || (!TFA2_EAGER_ENABLED)) {
+  if (kGraphEngineGreedyMemory) {
     DLOG() << "NPU Executing op " << spec->Op() << " fallback cpu in graph engine greedy memory mode";
     device->FallbackCPU(context, spec->NodeDef(), num_inputs, inputs, num_outputs, outputs, status);
     return;