diff --git a/paddle/fluid/operators/mlu/mlu_baseop.cc b/paddle/fluid/operators/mlu/mlu_baseop.cc
index 175fa9f94470f86aa75ef63dde043edb0e705b20..95a365f459f18033b9712ed156efe9ef5e6a9faf 100644
--- a/paddle/fluid/operators/mlu/mlu_baseop.cc
+++ b/paddle/fluid/operators/mlu/mlu_baseop.cc
@@ -4274,21 +4274,12 @@ MLURNNDesc::~MLURNNDesc() {
 /* static */ void MLUCnnl::NumTrue(const ExecutionContext& ctx,
                                    const cnnlTensorDescriptor_t x_desc,
                                    const void* x,
-                                   Tensor index,
-                                   uint32_t* num_true) {
+                                   const cnnlTensorDescriptor_t num_true_desc,
+                                   void* num_true) {
   cnnlHandle_t handle = GetHandleFromCTX(ctx);
 
-  size_t workspace_size = 0;
   PADDLE_ENFORCE_MLU_SUCCESS(
-      cnnlGetNumTrueWorkspaceSize(handle, x_desc, &workspace_size));
-
-  auto& dev_ctx = GetDevCtxFromCTX(ctx);
-  index = ctx.AllocateTmpTensor<int8_t, MLUDeviceContext>(
-      {static_cast<int64_t>(workspace_size)}, dev_ctx);
-  void* index_ptr = index.mutable_data(ctx.GetPlace());
-
-  PADDLE_ENFORCE_MLU_SUCCESS(cnnlNumTrue(
-      handle, x_desc, x, static_cast<uint32_t*>(index_ptr), num_true));
+      cnnlNumTrue_v2(handle, x_desc, x, num_true_desc, num_true));
 }
 
 /* static */ void MLUCnnl::Where(const ExecutionContext& ctx,
diff --git a/paddle/fluid/operators/mlu/mlu_baseop.h b/paddle/fluid/operators/mlu/mlu_baseop.h
index 0d4c7d2e5a3297ec0b17ac67ba55ef52c62cac84..72446f56a18dc89c4d0abdd4c21532431969e4a6 100644
--- a/paddle/fluid/operators/mlu/mlu_baseop.h
+++ b/paddle/fluid/operators/mlu/mlu_baseop.h
@@ -1703,8 +1703,8 @@ class MLUCnnl {
   static void NumTrue(const ExecutionContext& ctx,
                       const cnnlTensorDescriptor_t x_desc,
                       const void* x,
-                      Tensor index,
-                      uint32_t* num_true);
+                      const cnnlTensorDescriptor_t num_true_desc,
+                      void* num_true);
 
   static void Where(const ExecutionContext& ctx,
                     const cnnlTensorDescriptor_t x_desc,
diff --git a/paddle/fluid/operators/randperm_op_mlu.cc b/paddle/fluid/operators/randperm_op_mlu.cc
index 0d4fbf2d12f7cfaa2933ef998478385dd488676c..a3ebf8f5c00fce76c9c2a623f77b4eba7e2be76c 100644
--- a/paddle/fluid/operators/randperm_op_mlu.cc
+++ b/paddle/fluid/operators/randperm_op_mlu.cc
@@ -15,9 +15,32 @@ limitations under the License. */
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/operators/randperm_op.h"
 
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class RandpermMLUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    int n = ctx.Attr<int>("n");
+    unsigned int seed = static_cast<unsigned int>(ctx.Attr<int>("seed"));
+    framework::Variable* out_var = ctx.OutputVar("Out");
+    framework::Tensor* out_tensor =
+        framework::GetMutableLoDTensorOrSelectedRowsValueFromVar(out_var);
+
+    framework::Tensor tmp_tensor;
+    tmp_tensor.Resize(phi::make_ddim({n}));
+    T* tmp_data = tmp_tensor.mutable_data<T>(platform::CPUPlace());
+    random_permate<T>(tmp_data, n, seed);
+    framework::TensorCopySync(tmp_tensor, ctx.GetPlace(), out_tensor);
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
 template <typename T>
-using kernel =
-    paddle::operators::RandpermKernel<paddle::platform::MLUDeviceContext, T>;
+using kernel = paddle::operators::RandpermMLUKernel<T>;
 
 REGISTER_OP_MLU_KERNEL(
     randperm, kernel<int64_t>, kernel<int>, kernel<float>, kernel<double>);
diff --git a/paddle/fluid/operators/where_index_op_mlu.cc b/paddle/fluid/operators/where_index_op_mlu.cc
index d0699521aa46e41a120d1f2347516d93322285f4..389f7960bcdc1595ab9a0da40c0f0ae3f7049b42 100644
--- a/paddle/fluid/operators/where_index_op_mlu.cc
+++ b/paddle/fluid/operators/where_index_op_mlu.cc
@@ -30,30 +30,36 @@ class MLUWhereIndexKernel : public framework::OpKernel<T> {
     auto* out = context.Output<Tensor>("Out");
     auto dims = condition->dims();
     const int rank = dims.size();
-    std::vector<int> true_num = {0};
-    std::vector<T> vec_condition;
-    paddle::framework::TensorToVector(
-        *condition, context.device_context(), &vec_condition);
-    int vec_con_size = vec_condition.size();
-    for (int i = 0; i < vec_con_size; ++i) {
-      if (vec_condition[i] > 0) true_num[0]++;
-    }
 
-    out->Resize(phi::make_ddim({true_num[0], rank}));
+    Tensor num_true;
+    num_true.mutable_data<int>({1}, context.GetPlace());
+    MLUCnnlTensorDesc con_desc(*condition);
+    MLUCnnlTensorDesc num_true_desc(num_true);
+    MLUCnnl::NumTrue(context,
+                     con_desc.get(),
+                     GetBasePtr(condition),
+                     num_true_desc.get(),
+                     GetBasePtr(&num_true));
+
+    Tensor local_true_num;
+    paddle::framework::TensorCopySync(
+        num_true, platform::CPUPlace(), &local_true_num);
+    auto true_num = *local_true_num.data<int>();
+
+    out->Resize(phi::make_ddim({true_num, rank}));
     out->mutable_data<int64_t>(context.GetPlace());
+
+    if (true_num == 0) {
+      return;
+    }
+
     auto& dev_ctx = context.template device_context<MLUDeviceContext>();
     framework::Tensor out_int32 =
         context.AllocateTmpTensor<int32_t, MLUDeviceContext>(out->dims(),
                                                              dev_ctx);
-    Tensor num_true;
-    paddle::framework::TensorFromVector(
-        true_num, context.device_context(), &num_true);
-    num_true.mutable_data<int>(context.GetPlace());
-    bool as_tuple = false;
-    MLUCnnlTensorDesc con_desc(*condition);
-    MLUCnnlTensorDesc num_true_desc(num_true);
     MLUCnnlTensorDesc out_int32_desc(out_int32);
     MLUCnnlTensorDesc out_desc(*out);
+    bool as_tuple = false;
     MLUCnnl::Where(context,
                    con_desc.get(),
                    GetBasePtr(condition),