diff --git a/paddle/phi/kernels/cpu/lu_solve_kernel.cc b/paddle/phi/kernels/cpu/lu_solve_kernel.cc
index 030e2a5d428261..4ea604089ee19e 100644
--- a/paddle/phi/kernels/cpu/lu_solve_kernel.cc
+++ b/paddle/phi/kernels/cpu/lu_solve_kernel.cc
@@ -73,16 +73,15 @@ void LuSolveKernel(const Context& dev_ctx,
       auto out_data_item = &out_data[i * n_int * n_int];
       auto lu_data_item = &lu_data[i * n_int * n_int];
       auto pivots_data_item = &pivots_data[i * n_int];
-      phi::dynload::sgetrs_(
-        trans_char,
-        n_int,     // Order of matrix A
-        nrhs_int,  // Number of right hand sides
-        lu_data_item,         // LU factorization
-        lda,                                      // Leading dimension of A
-        pivots_data,      // Pivot indices
-        out_data_item,  // RHS/solution matrix
-        ldb,                                      // Leading dimension of B
-        info);                                    // Status indicator
+      phi::funcs::lapackLuSolve<T>(trans_char,
+                                   n_int,
+                                   nrhs_int,
+                                   lu_data_item,
+                                   lda,
+                                   pivots_data_item,
+                                   out_data_item,
+                                   ldb,
+                                   info);
     }
   } else if (std::is_same<T, double>::value) {
     phi::dynload::dgetrs_(
diff --git a/paddle/phi/kernels/funcs/lapack/lapack_function.cc b/paddle/phi/kernels/funcs/lapack/lapack_function.cc
index ebfd53291c36fa..8759accc565a26 100644
--- a/paddle/phi/kernels/funcs/lapack/lapack_function.cc
+++ b/paddle/phi/kernels/funcs/lapack/lapack_function.cc
@@ -30,6 +30,33 @@ void lapackLu<float>(int m, int n, float *a, int lda, int *ipiv, int *info) {
   dynload::sgetrf_(&m, &n, a, &lda, ipiv, info);
 }
 
+// lu_solve
+template <>
+void lapackLuSolve<float>(char trans,
+                          int n,
+                          int nrhs,
+                          float *a,
+                          int lda,
+                          int *ipiv,
+                          float *b,
+                          int ldb,
+                          int *info) {
+  dynload::sgetrs_(&trans, &n, &nrhs, a, &lda, ipiv, b, &ldb, info);
+}
+
+template <>
+void lapackLuSolve<double>(char trans,
+                          int n,
+                          int nrhs,
+                          double *a,
+                          int lda,
+                          int *ipiv,
+                          double *b,
+                          int ldb,
+                          int *info) {
+  dynload::sgetrs_(&trans, &n, &nrhs, a, &lda, ipiv, b, &ldb, info);
+}
+
 // eigh
 template <>
 void lapackEigh<float>(char jobz,
diff --git a/paddle/phi/kernels/funcs/lapack/lapack_function.h b/paddle/phi/kernels/funcs/lapack/lapack_function.h
index d251095bb79f06..e54792e1c5bb27 100644
--- a/paddle/phi/kernels/funcs/lapack/lapack_function.h
+++ b/paddle/phi/kernels/funcs/lapack/lapack_function.h
@@ -21,6 +21,18 @@ namespace funcs {
 template <typename T>
 void lapackLu(int m, int n, T *a, int lda, int *ipiv, int *info);
 
+// Lu_solve
+template <typename T>
+void lapackLuSolve(char trans,
+                   int n,
+                   int nrhs,
+                   T *a,
+                   int lda,
+                   int *ipiv,
+                   T *b,
+                   int ldb,
+                   int *info);
+
 // Eigh
 template <typename T, typename ValueType = T>
 void lapackEigh(char jobz,
diff --git a/paddle/phi/ops/yaml/ops.yaml b/paddle/phi/ops/yaml/ops.yaml
index 527b01e5bc7b79..74b2082b9394cf 100755
--- a/paddle/phi/ops/yaml/ops.yaml
+++ b/paddle/phi/ops/yaml/ops.yaml
@@ -3156,7 +3156,7 @@
     func : lu_solve
     data_type : x
   backward : lu_solve_grad
-  interfaces : paddle::dialect::InferSymbolicShapeInterface
+  # interfaces : paddle::dialect::InferSymbolicShapeInterface
 
 - op : lu_unpack
   args : (Tensor x, Tensor y, bool unpack_ludata = true, bool unpack_pivots = true)