diff --git a/tf_adapter/kernels/aicore/npu_mixed_precesion_ops.cc b/tf_adapter/kernels/aicore/npu_mixed_precesion_ops.cc
index 753d608a6941ec34742cf6bc1f63069a339f2be3..c86b4d816b3e7e034d52d0822a9a5e099f851f7e 100644
--- a/tf_adapter/kernels/aicore/npu_mixed_precesion_ops.cc
+++ b/tf_adapter/kernels/aicore/npu_mixed_precesion_ops.cc
@@ -99,4 +99,29 @@ class NpuClearFloatStatusV2Op : public OpKernel {
 };
 
 REGISTER_KERNEL_BUILDER(Name("NpuClearFloatStatusV2").Device(DEVICE_CPU), NpuClearFloatStatusV2Op);
+
+class NpuClearFloatDebugStatusOp : public OpKernel {
+ public:
+  explicit NpuClearFloatDebugStatusOp(OpKernelConstruction *context) : OpKernel(context) {}
+  ~NpuClearFloatDebugStatusOp() override = default;
+  void Compute(OpKernelContext *context) override {
+    (void) context;
+    LOG(INFO) << "NpuClearFloatDebugStatus Compute";
+  }
+};
+
+REGISTER_KERNEL_BUILDER(Name("NpuClearFloatDebugStatus").Device(DEVICE_CPU), NpuClearFloatDebugStatusOp);
+
+class NpuGetFloatDebugStatusOp : public OpKernel {
+ public:
+  explicit NpuGetFloatDebugStatusOp(OpKernelConstruction *context) : OpKernel(context) {}
+  ~NpuGetFloatDebugStatusOp() override = default;
+  void Compute(OpKernelContext *context) override {
+    (void) context;
+    LOG(INFO) << "NpuGetFloatDebugStatus Compute";
+  }
+};
+
+REGISTER_KERNEL_BUILDER(Name("NpuGetFloatDebugStatus").Device(DEVICE_CPU), NpuGetFloatDebugStatusOp);
+
 }  // namespace tensorflow
diff --git a/tf_adapter/ops/aicore/npu_mixed_precesion_ops.cc b/tf_adapter/ops/aicore/npu_mixed_precesion_ops.cc
index 8a1af5d5074cf4600dfa12df12842bcb05f274db..16133576e2c2530f34494edd427d865482fcb625 100644
--- a/tf_adapter/ops/aicore/npu_mixed_precesion_ops.cc
+++ b/tf_adapter/ops/aicore/npu_mixed_precesion_ops.cc
@@ -65,6 +65,16 @@ REGISTER_OP("NpuGetFloatStatusV2")
         return Status::OK();
     });
 
+REGISTER_OP("NpuGetFloatDebugStatus")
+    .Output("data: int32")
+    .SetIsStateful()
+    .SetShapeFn([](InferenceContext *c) {
+        std::vector<DimensionHandle> output_dims;
+        output_dims.emplace_back(c->MakeDim(8));
+        auto output_shape = c->MakeShape(output_dims);
+        c->set_output(0, output_shape);
+        return Status::OK();
+    });
 
 REGISTER_OP("NpuClearFloatStatus")
     .Input("float_status: float")
@@ -86,4 +96,10 @@ REGISTER_OP("NpuClearFloatStatusV2")
     Set the value of global workspace to 0.
     )doc")
     .SetIsStateful();
+
+REGISTER_OP("NpuClearFloatDebugStatus")
+    .Doc(R"doc(
+    Set the value of global workspace to 0.
+    )doc")
+    .SetIsStateful();
 }  // namespace tensorflow