Fix codex

mindspore/ccsrc/debug/info.cc

@@ -126,10 +126,10 @@ int64_t DebugInfo::debug_id() {
 }
 
 int64_t DebugInfo::unique_id_through_copy() const {
-  TraceInfoPtr trace_info = const_cast<DebugInfo *>(this)->trace_info();
-  if (trace_info != nullptr) {
-    if (trace_info->isa<TraceCopy>() && trace_info->debug_info() != nullptr) {
-      return trace_info->debug_info()->unique_id_through_copy();
+  auto info = trace_info();
+  if (info != nullptr) {
+    if (info->isa<TraceCopy>() && info->debug_info() != nullptr) {
+      return info->debug_info()->unique_id_through_copy();
     }
   }
   return unique_id();

mindspore/ccsrc/debug/info.h

@@ -118,7 +118,7 @@ class TraceContext {
   void set_location(const LocationPtr &loc) { location_ = loc; }
   LocationPtr location() { return location_; }
   void set_trace_info(const TraceInfoPtr &trace_info) { trace_info_ = trace_info; }
-  TraceInfoPtr trace_info() { return trace_info_; }
+  TraceInfoPtr trace_info() const { return trace_info_; }
   void set_func_name(const std::string &func_name) { func_name_ = func_name; }
   std::string func_name() { return func_name_; }
 };
@@ -139,7 +139,7 @@ class DebugInfo : public Base {
   std::string get_id() { return std::to_string(debug_id()); }
 
   void set_trace_info(const TraceInfoPtr &trace_info) { trace_info_ = trace_info; }
-  TraceInfoPtr trace_info() { return trace_info_; }
+  TraceInfoPtr trace_info() const { return trace_info_; }
   void set_location(const LocationPtr &loc) { location_ = loc; }
   virtual LocationPtr location() { return location_; }
   std::string name() { return name_; }

mindspore/ccsrc/ir/func_graph.h

@@ -57,9 +57,6 @@ class AbstractFunction;
 using AbstractFunctionPtr = std::shared_ptr<AbstractFunction>;
 }  // namespace abstract
 
-class FuncGraphManager;
-using FuncGraphManagerPtr = std::shared_ptr<FuncGraphManager>;
-
 // ANF transform class
 // either a primitive or a func_graph
 class FuncGraphTransform {

mindspore/ccsrc/ir/manager.cc

@@ -464,7 +464,7 @@ void FuncGraphManager::MoveAllCNodeDropGraph(FuncGraphPtr source, FuncGraphPtr t
   }
 }
 
-inline void FuncGraphManager::AddEdge(AnfNodePtr node, int index, AnfNodePtr input) {
+void FuncGraphManager::AddEdge(AnfNodePtr node, int index, AnfNodePtr input) {
   auto fg = node->func_graph();
   if (input->isa<ValueNode>()) {
     fg->AddValueNode(input);
@@ -485,7 +485,7 @@ inline void FuncGraphManager::AddEdge(AnfNodePtr node, int index, AnfNodePtr inp
   }
 }
 
-inline void FuncGraphManager::DropEdge(AnfNodePtr node, int index, AnfNodePtr input) {
+void FuncGraphManager::DropEdge(AnfNodePtr node, int index, AnfNodePtr input) {
   auto fg = node->func_graph();
   if (input->isa<ValueNode>()) {
     fg->DropValueNode(input);
@@ -506,7 +506,7 @@ inline void FuncGraphManager::DropEdge(AnfNodePtr node, int index, AnfNodePtr in
   }
 }
 
-inline void FuncGraphManager::MoveAllNodes(FuncGraphPtr source, FuncGraphPtr target) {
+void FuncGraphManager::MoveAllNodes(FuncGraphPtr source, FuncGraphPtr target) {
   target->CopyNodes(source);
   target->CopyValueNodes(source);
   target->CopyFuncGraphCNodesIndex(source);

mindspore/ccsrc/ir/tensor.cc

@@ -28,9 +28,7 @@
 #include "pipeline/static_analysis/abstract_value.h"
 
 namespace mindspore {
-
 namespace tensor {
-
 void DataBuf2Contiguous(const py::array &src, py::array *const dest) {
   if (dest == nullptr) {
     MS_LOG(EXCEPTION) << "Failed to copy data to a contiguous buffer as dest is nullptr!";
@@ -493,6 +491,5 @@ REGISTER_PYBIND_DEFINE(Tensor, ([](const py::module *m) {
                            .def("dtype", &MetaTensor::Dtype, "Get the MetaTensor's dtype.")
                            .def("shape", &MetaTensor::shape, "Get the MetaTensor's shape.");
                        }));
-
 }  // namespace tensor
 }  // namespace mindspore

mindspore/ccsrc/ir/tensor.h

@@ -34,9 +34,7 @@ namespace py = pybind11;
 using float16 = Eigen::half;
 
 namespace pybind11 {
-
 namespace detail {
-
 // Similar to enums in `pybind11/numpy.h`. Determined by doing:
 // python3 -c 'import numpy as np; print(np.dtype(np.float16).num)'
 constexpr int NPY_FLOAT16 = 23;
@@ -85,7 +83,6 @@ template <>
 struct type_caster<float16> : public npy_scalar_caster<float16> {
   static constexpr auto name = "float16";
 };
-
 }  // namespace detail
 }  // namespace pybind11
 
@@ -96,7 +93,6 @@ using DeviceAddressPtr = std::shared_ptr<mindspore::device::DeviceAddress>;
 // mindspore namespace is the top level namespace of Mindsporeession project.
 // Other namespace should be a sub namespace of mindspore namespace in the ME project.
 namespace mindspore {
-
 // brief mindspore::tensor namespace
 //
 // A sub namespace in ME to support tensor related definition.
@@ -273,7 +269,6 @@ class Tensor : public MetaTensor {
 
 using TensorPtr = std::shared_ptr<Tensor>;
 using TensorPtrList = std::vector<std::shared_ptr<Tensor>>;
-
 }  // namespace tensor
 }  // namespace mindspore
 

mindspore/ccsrc/minnie/param_value_minnie.h

@@ -39,6 +39,5 @@ class ParamValueMinnie : public ParamValue {
 };
 
 using ParamValueMinniePtr = std::shared_ptr<ParamValueMinnie>;
-
 }  // namespace mindspore
 #endif  // MINDSPORE_CCSRC_MINNIE_PARAM_VALUE_MINNIE_H_

mindspore/ccsrc/minnie/tensor_minnie.h

@@ -70,7 +70,6 @@ class TensorMinnie : public MetaTensor {
 };
 
 using TensorMinniePtr = std::shared_ptr<TensorMinnie>;
-
 }  // namespace tensor
 }  // namespace mindspore
 

mindspore/ccsrc/operator/composite/multitype_funcgraph.cc

@@ -39,7 +39,6 @@
 namespace mindspore {
 // namespace to support composite operators definition
 namespace prim {
-
 MultitypeFuncGraph::MultitypeFuncGraph(const std::string &name) : MetaFuncGraph(name) {
   fn_cache_.clear();
   signatures_ = std::vector<Signature>({// def multitype(*args:ref):
@@ -148,6 +147,5 @@ REGISTER_PYBIND_DEFINE(MultitypeFuncGraph_, ([](const py::module *m) {
                            .def(py::init<std::string &>())
                            .def("register_fn", &MultitypeFuncGraph::PyRegister);
                        }));
-
 }  // namespace prim
 }  // namespace mindspore

mindspore/ccsrc/operator/composite/multitype_funcgraph.h

@@ -34,7 +34,6 @@
 namespace mindspore {
 // namespace to support composite operators definition
 namespace prim {
-
 class MultitypeFuncGraph : public MetaFuncGraph {
  public:
   explicit MultitypeFuncGraph(const std::string &name);
@@ -59,7 +58,6 @@ class MultitypeFuncGraph : public MetaFuncGraph {
   std::unordered_map<TypePtrList, py::function, TypeListHasher, TypeListEqual> fn_cache_py_;
 };
 using MultitypeFuncGraphPtr = std::shared_ptr<MultitypeFuncGraph>;
-
 }  // namespace prim
 }  // namespace mindspore
 

mindspore/ccsrc/optimizer/opt.cc

@@ -88,7 +88,7 @@ AnfNodePtr Substitution::operator()(const OptimizerPtr &optimizer, const AnfNode
   return result;
 }
 
-inline bool isTraversable(const AnfNodePtr &node) {
+static bool isTraversable(const AnfNodePtr &node) {
   if (node == nullptr) {
     return false;
   }

mindspore/ccsrc/utils/primitive_utils.cc

@@ -41,7 +41,7 @@ py::function GetComputeFunction(std::string name) {
   if (!py::hasattr(mod, common::SafeCStr(name))) {
     PyErr_SetString(PyExc_NotImplementedError, common::SafeCStr(name));
     // If raise AttributeError, user can't understand. This case need raise NotImplementedError.
-    throw py::error_already_set();
+    throw(py::error_already_set());
   }
   py::object fn = mod.attr(common::SafeCStr(name));
   return fn;

mindspore/ccsrc/vm/vm.cc

@@ -619,7 +619,7 @@ void FinalVM::SyncData(const py::object &arg) {
 BaseRef FinalVM::RunHook(const PrimitivePtr &prim, const VectorRef &args) {
   MS_LOG(DEBUG) << "input for operation:";
   std::size_t args_size = args.size();
-  py::tuple py_args = py::tuple(args_size);
+  auto py_args = py::tuple(args_size);
   size_t i = 0;
   for (auto &arg : args) {
     py_args[i] = BaseRefToPyData(arg);
@@ -643,7 +643,7 @@ BaseRef FinalVM::RunHook(const PrimitivePtr &prim, const VectorRef &args) {
     std::string cell_id = GetValue<std::string>(prim->GetAttr("cell_id"));
     if (_hook_grad.find(cell_id) != _hook_grad.end()) {
       std::size_t hook_args_size = 3;
-      py::tuple hook_args = py::tuple(hook_args_size);
+      auto hook_args = py::tuple(hook_args_size);
       hook_args[0] = cell_id;
       hook_args[1] = py::make_tuple(_hook_grad[cell_id]);
       hook_args[2] = py::make_tuple(py_args[2]);