diff --git a/mindspore/ccsrc/pipeline/jit/parse/data_converter.cc b/mindspore/ccsrc/pipeline/jit/parse/data_converter.cc
index 7607fdea19e..ee9abb319ac 100644
--- a/mindspore/ccsrc/pipeline/jit/parse/data_converter.cc
+++ b/mindspore/ccsrc/pipeline/jit/parse/data_converter.cc
@@ -52,6 +52,7 @@ FuncGraphPtr ConvertToBpropCut(const py::object &obj) {
   outputs.push_back(NewValueNode(fake_bprop));
 
   py::object code_obj = py::getattr(bprop_func, "__code__");
+  // Three parameters self, out and dout need to be excluded
   size_t inputs_num = py::cast<int64_t>(py::getattr(code_obj, "co_argcount")) - 3;
   for (size_t i = 0; i < inputs_num; ++i) {
     auto param = bprop_graph->add_parameter();
diff --git a/mindspore/ccsrc/pipeline/pynative/pynative_execute.cc b/mindspore/ccsrc/pipeline/pynative/pynative_execute.cc
index ea461d66f7c..c65224df1f2 100644
--- a/mindspore/ccsrc/pipeline/pynative/pynative_execute.cc
+++ b/mindspore/ccsrc/pipeline/pynative/pynative_execute.cc
@@ -2488,7 +2488,7 @@ void PynativeExecutor::MakeNestedCnode(const std::string &cell_id, const py::arg
     inputs.emplace_back(GetInput(args[i], false));
   }
   if (newfg->parameters().size() > inputs_size) {
-    SetNestedWeigthsParam(newfg, cell_id, &inputs);
+    SetNestedWeightsParam(newfg, cell_id, &inputs);
   }
   auto out_id = GetId(out);
   auto cnode = graph_prev->NewCNode(inputs);
@@ -2497,7 +2497,7 @@ void PynativeExecutor::MakeNestedCnode(const std::string &cell_id, const py::arg
   MS_LOG(DEBUG) << "Nested make cnode is " << cnode->DebugString(4);
 }
 
-void PynativeExecutor::SetNestedWeigthsParam(const FuncGraphPtr &newfg, const std::string &cell_id,
+void PynativeExecutor::SetNestedWeightsParam(const FuncGraphPtr &newfg, const std::string &cell_id,
                                              std::vector<AnfNodePtr> *inputs) {
   FuncGraphPtr forward_graph = nullptr;
   auto ic = std::find_if(cell_graph_list_.begin(), cell_graph_list_.end(),
diff --git a/mindspore/ccsrc/pipeline/pynative/pynative_execute.h b/mindspore/ccsrc/pipeline/pynative/pynative_execute.h
index 16dc576c153..2252b326b69 100644
--- a/mindspore/ccsrc/pipeline/pynative/pynative_execute.h
+++ b/mindspore/ccsrc/pipeline/pynative/pynative_execute.h
@@ -240,7 +240,7 @@ class PynativeExecutor : public std::enable_shared_from_this<PynativeExecutor> {
   void SetNestedTopGraph(const py::object &cell, const py::args &args, const std::string &cell_id);
   void MakeNestedCnode(const std::string &cell_id, const py::args &args, const ResourcePtr &resource,
                        const py::object &out, bool has_sens);
-  void SetNestedWeigthsParam(const FuncGraphPtr &newfg, const std::string &cell_id, std::vector<AnfNodePtr> *inputs);
+  void SetNestedWeightsParam(const FuncGraphPtr &newfg, const std::string &cell_id, std::vector<AnfNodePtr> *inputs);
   bool MakeBpropNestedCnode(const py::object &cell, const py::object &out, const std::string &cell_id);
 
   // Hold graph(forward and grad) info
diff --git a/mindspore/nn/cell.py b/mindspore/nn/cell.py
index 6c85fcdf6bb..5e6b69deec6 100755
--- a/mindspore/nn/cell.py
+++ b/mindspore/nn/cell.py
@@ -49,7 +49,7 @@ class Cell(Cell_):
         The bprop implementation will receive a Tensor `dout` containing the gradient of the loss w.r.t.
         the output, and a Tensor `out` containing the forward result. The bprop needs to compute the
         gradient of the loss w.r.t. the inputs, gradient of the loss w.r.t. Parameter variables are not supported
-        currently.
+        currently. The bprop method must contain the self parameter.
 
     Args:
         auto_prefix (bool): Recursively generate namespaces. Default: True.