diff --git a/deepmd/loss/ener.py b/deepmd/loss/ener.py
index 2f628502d7..2762634378 100644
--- a/deepmd/loss/ener.py
+++ b/deepmd/loss/ener.py
@@ -15,12 +15,12 @@ def __init__ (self,
                   limit_pref_e : float = 1.00,
                   start_pref_f : float = 1000,
                   limit_pref_f : float = 1.00,
-                  start_pref_v : float = 0,
-                  limit_pref_v : float = 0,
-                  start_pref_ae : float = 0,
-                  limit_pref_ae : float = 0,
-                  start_pref_pf : float = 0,
-                  limit_pref_pf : float = 0,
+                  start_pref_v : float = 0.0,
+                  limit_pref_v : float = 0.0,
+                  start_pref_ae : float = 0.0,
+                  limit_pref_ae : float = 0.0,
+                  start_pref_pf : float = 0.0,
+                  limit_pref_pf : float = 0.0,
                   relative_f : float = None 
     ) -> None:
         self.starter_learning_rate = starter_learning_rate
@@ -35,11 +35,11 @@ def __init__ (self,
         self.start_pref_pf = start_pref_pf
         self.limit_pref_pf = limit_pref_pf
         self.relative_f = relative_f
-        self.has_e = (self.start_pref_e != 0 or self.limit_pref_e != 0)
-        self.has_f = (self.start_pref_f != 0 or self.limit_pref_f != 0)
-        self.has_v = (self.start_pref_v != 0 or self.limit_pref_v != 0)
-        self.has_ae = (self.start_pref_ae != 0 or self.limit_pref_ae != 0)
-        self.has_pf = (self.start_pref_pf != 0 or self.limit_pref_pf != 0)
+        self.has_e = (self.start_pref_e != 0.0 or self.limit_pref_e != 0.0)
+        self.has_f = (self.start_pref_f != 0.0 or self.limit_pref_f != 0.0)
+        self.has_v = (self.start_pref_v != 0.0 or self.limit_pref_v != 0.0)
+        self.has_ae = (self.start_pref_ae != 0.0 or self.limit_pref_ae != 0.0)
+        self.has_pf = (self.start_pref_pf != 0.0 or self.limit_pref_pf != 0.0)
         # data required
         add_data_requirement('energy', 1, atomic=False, must=False, high_prec=True)
         add_data_requirement('force',  3, atomic=True,  must=False, high_prec=False)
diff --git a/source/op/descrpt_se_a_multi_device.cc b/source/op/descrpt_se_a_multi_device.cc
index fa2d085316..5200ce0527 100644
--- a/source/op/descrpt_se_a_multi_device.cc
+++ b/source/op/descrpt_se_a_multi_device.cc
@@ -207,16 +207,16 @@ class DescrptSeAOp : public OpKernel {
     float rcut_a;
     float rcut_r;
     float rcut_r_smth;
-    std::std::vector<int32> sel_r;
-    std::std::vector<int32> sel_a;
-    std::std::vector<int> sec_a;
-    std::std::vector<int> sec_r;
+    std::vector<int32> sel_r;
+    std::vector<int32> sel_a;
+    std::vector<int> sec_a;
+    std::vector<int> sec_r;
     int ndescrpt, ndescrpt_a, ndescrpt_r;
     int nnei, nnei_a, nnei_r, nloc, nall, max_nbor_size;
     bool fill_nei_a;
 
     //private func
-    void cum_sum (std::std::vector<int> & sec, const std::std::vector<int32> & n_sel) const {
+    void cum_sum (std::vector<int> & sec, const std::vector<int32> & n_sel) const {
         sec.resize (n_sel.size() + 1);
         sec[0] = 0;
         for (int ii = 1; ii < sec.size(); ++ii) {
@@ -292,4 +292,4 @@ REGISTER_KERNEL_BUILDER(
     DescrptSeAOp<GPUDevice, T>);
 REGISTER_GPU(float);
 REGISTER_GPU(double);
-#endif  // GOOGLE_CUDA
\ No newline at end of file
+#endif  // GOOGLE_CUDA
diff --git a/source/op/descrpt_se_r_multi_device.cc b/source/op/descrpt_se_r_multi_device.cc
index 6761cf3b29..36d4357cfa 100644
--- a/source/op/descrpt_se_r_multi_device.cc
+++ b/source/op/descrpt_se_r_multi_device.cc
@@ -196,15 +196,15 @@ class DescrptSeROp : public OpKernel {
 private:
     float rcut;
     float rcut_smth;
-    std::std::vector<int32> sel;
-    std::std::vector<int32> sel_null;
-    std::std::vector<int> sec;
-    std::std::vector<int> sec_null;
+    std::vector<int32> sel;
+    std::vector<int32> sel_null;
+    std::vector<int> sec;
+    std::vector<int> sec_null;
     int nnei, ndescrpt, nloc, nall;
     bool fill_nei_a;
 
     //private func
-    void cum_sum (std::std::vector<int> & sec, const std::std::vector<int32> & n_sel) const {
+    void cum_sum (std::vector<int> & sec, const std::vector<int32> & n_sel) const {
         sec.resize (n_sel.size() + 1);
         sec[0] = 0;
         for (int ii = 1; ii < sec.size(); ++ii) {
@@ -281,4 +281,4 @@ REGISTER_KERNEL_BUILDER(
     DescrptSeROp<GPUDevice, T>);
 REGISTER_GPU(float);
 REGISTER_GPU(double);
-#endif  // GOOGLE_CUDA
\ No newline at end of file
+#endif  // GOOGLE_CUDA