diff --git a/paddle/fluid/eager/to_static/run_program_op_node.h b/paddle/fluid/eager/to_static/run_program_op_node.h
index b4deb4e4ac306fe40040c2af6f0d66eac26dd6be..548af27a8ac4ff621714cc4078c3c3fdda683756 100644
--- a/paddle/fluid/eager/to_static/run_program_op_node.h
+++ b/paddle/fluid/eager/to_static/run_program_op_node.h
@@ -443,11 +443,11 @@ inline void RunProgramAPI(
       VLOG(4) << "don't require any grad, set this scope can reused";
       VLOG(4) << "is_test: " << is_test
               << ", require_any_grad: " << require_any_grad;
-      global_inner_scope->SetCanReuesd(true);
+      global_inner_scope->SetCanReused(true);
       details::GcScope(global_inner_scope);
     } else {
       VLOG(4) << "not test, set this scope can not reused";
-      global_inner_scope->SetCanReuesd(false);
+      global_inner_scope->SetCanReused(false);
     }
   }
 
@@ -582,7 +582,7 @@ inline void RunProgramGradAPI(
                                                    *backward_global_block,
                                                    global_inner_scope);
     VLOG(4) << "after backward gc all vars";
-    global_inner_scope->SetCanReuesd(true);
+    global_inner_scope->SetCanReused(true);
     details::GcScope(global_inner_scope);
   }
 }
@@ -599,9 +599,9 @@ class GradNodeRunProgram : public egr::GradNodeBase {
       // Normally out_scope_vec.size() == 1. for safty, we add for-loop here.
       for (size_t i = 0; i < out_scope_vec->size(); ++i) {
         paddle::framework::Scope *global_inner_scope = out_scope_vec->at(i);
-        global_inner_scope->SetCanReuesd(true);
+        global_inner_scope->SetCanReused(true);
         details::GcScope(global_inner_scope);
-        VLOG(4) << "global_inner_scope SetCanReuesd";
+        VLOG(4) << "global_inner_scope SetCanReused";
       }
     }
   }
diff --git a/paddle/fluid/framework/scope.h b/paddle/fluid/framework/scope.h
index b87a294878051ed0a69023747a4cf1b1b1e15384..b0b418c85a303e12563b93183b5f2a373b86d256 100644
--- a/paddle/fluid/framework/scope.h
+++ b/paddle/fluid/framework/scope.h
@@ -122,9 +122,9 @@ class Scope {
   std::string Rename(const std::string& origin_name) const;
 
   // only for dygraph_to_static
-  bool CanReuesd() const { return can_reused_; }
+  bool CanReused() const { return can_reused_; }
 
-  void SetCanReuesd(bool can_reused) { can_reused_ = can_reused; }
+  void SetCanReused(bool can_reused) { can_reused_ = can_reused; }
 
  protected:
   struct KeyHasher {
diff --git a/paddle/fluid/pybind/pybind.cc b/paddle/fluid/pybind/pybind.cc
index 0a01e9e52f5b33d32a4c16491ac5245636d646b0..05eccd45c8fa64822aa2ed433eac3f3fa63f8354 100644
--- a/paddle/fluid/pybind/pybind.cc
+++ b/paddle/fluid/pybind/pybind.cc
@@ -1210,7 +1210,7 @@ All parameter, weight, gradient are variables in Paddle.
            Delete all sub-scopes of the current scope.
            )DOC")
       .def("_kids", &Scope::kids)
-      .def_property("_can_reuesd", &Scope::CanReuesd, &Scope::SetCanReuesd);
+      .def_property("_can_reused", &Scope::CanReused, &Scope::SetCanReused);
 
   m.def(
       "Scope",
diff --git a/python/paddle/jit/dy2static/partial_program.py b/python/paddle/jit/dy2static/partial_program.py
index ad2e62b9e04613fb5ecff577816d9cc76f9ec2b2..042977988d4b35ed9e2b8d827acd4ccd060696f5 100644
--- a/python/paddle/jit/dy2static/partial_program.py
+++ b/python/paddle/jit/dy2static/partial_program.py
@@ -259,7 +259,7 @@ class PartialProgramLayer:
                 return scope
             else:
                 for scope in self._scope_cache[program_id]:
-                    if scope._can_reuesd:
+                    if scope._can_reused:
                         return scope
                 scope = core.Scope()
                 self._scope_cache[program_id].append(scope)
diff --git a/python/paddle/nn/functional/distance.py b/python/paddle/nn/functional/distance.py
index e8e209be18a947d7bac5a8718509bae9b8404f33..067a49816dd22fcd16576fd555cf689b2970fec7 100644
--- a/python/paddle/nn/functional/distance.py
+++ b/python/paddle/nn/functional/distance.py
@@ -70,7 +70,7 @@ def pairwise_distance(x, y, p=2.0, epsilon=1e-6, keepdim=False, name=None):
     """
     if in_dygraph_mode():
         sub = _C_ops.subtract(x, y)
-        # p_norm op has not uesd epsilon, so change it to the following.
+        # p_norm op has not used epsilon, so change it to the following.
         if epsilon != 0.0:
             epsilon = paddle.fluid.dygraph.base.to_variable(
                 [epsilon], dtype=sub.dtype
diff --git a/python/paddle/nn/functional/norm.py b/python/paddle/nn/functional/norm.py
index 5cf69fb42b6c52e0b1dfd0d42926e4a17a81fa90..e1c3d985a68db74de32d4a2a285907f5951d6931 100644
--- a/python/paddle/nn/functional/norm.py
+++ b/python/paddle/nn/functional/norm.py
@@ -127,7 +127,7 @@ def batch_norm(
     """
     Applies Batch Normalization as described in the paper Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift .
 
-    nn.functional.batch_norm is uesd for nn.BatchNorm1D, nn.BatchNorm2D, nn.BatchNorm3D. Please use above API for BatchNorm.
+    nn.functional.batch_norm is used for nn.BatchNorm1D, nn.BatchNorm2D, nn.BatchNorm3D. Please use above API for BatchNorm.
 
     Parameters:
         x(Tesnor): input value. It's data type should be float32, float64.