!11982 Change tuple_getitem to TupleGetItem merge from r1.1 to master

From: @liangzhibo
Reviewed-by: @ginfung,@zh_qh
Signed-off-by: @zh_qh

mindspore/_extends/builtin_operations.py

@@ -21,32 +21,32 @@ import mindspore.common.dtype as mstype
 from mindspore.common.dtype import dtype_to_nptype, get_py_obj_dtype
 
 
-def scalar_add(x, y):
+def ScalarAdd(x, y):
     """Implement `scalar_add`."""
     return x + y
 
 
-def scalar_mul(x, y):
+def ScalarMul(x, y):
     """Implement `scalar_mul`."""
     return x * y
 
 
-def scalar_mod(x, y):
+def ScalarMod(x, y):
     """Implement `scalar_mul`."""
     return x % y
 
 
-def scalar_sub(x, y):
+def ScalarSub(x, y):
     """Implement `scalar_sub`."""
     return x - y
 
 
-def scalar_usub(x):
+def ScalarUsub(x):
     """Implement `scalar_usub`."""
     return -x
 
 
-def tuple_getitem(x, index):
+def TupleGetItem(x, index):
     """Implement `tuple_getitem`."""
     if isinstance(x, Tensor):
         x = x.asnumpy()

mindspore/ccsrc/frontend/operator/prim_to_function.cc

@@ -15,6 +15,7 @@
  */
 
 #include "frontend/operator/prim_to_function.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 // namespace to support prim related definition
@@ -25,31 +26,31 @@ PrimToFunction::PrimToFunction()
                            {"bool_not", kPrimTypeOneArg},
                            {"scalar_cos", kPrimTypeOneArg},
                            {"scalar_exp", kPrimTypeOneArg},
-                           {"scalar_floor", kPrimTypeOneArg},
+                           {kScalarFloor, kPrimTypeOneArg},
                            {"scalar_log", kPrimTypeOneArg},
                            {"scalar_sin", kPrimTypeOneArg},
                            {"scalar_tan", kPrimTypeOneArg},
-                           {"scalar_trunc", kPrimTypeOneArg},
+                           {kScalarTrunc, kPrimTypeOneArg},
                            {"typeof", kPrimTypeOneArg},
-                           {"scalar_uadd", kPrimTypeOneArg},
-                           {"scalar_usub", kPrimTypeOneArg},
+                           {kScalarUadd, kPrimTypeOneArg},
+                           {kScalarUsub, kPrimTypeOneArg},
                            // TWO_ARGS prim
-                           {"scalar_add", kPrimTypeTwoArgs},
+                           {kScalarAdd, kPrimTypeTwoArgs},
                            {"bool_and", kPrimTypeTwoArgs},
                            {"bool_eq", kPrimTypeTwoArgs},
                            {"bool_or", kPrimTypeTwoArgs},
-                           {"scalar_div", kPrimTypeTwoArgs},
+                           {kScalarDiv, kPrimTypeTwoArgs},
                            {"scalar_eq", kPrimTypeTwoArgs},
                            {"scalar_ge", kPrimTypeTwoArgs},
                            {"scalar_gt", kPrimTypeTwoArgs},
                            {"scalar_le", kPrimTypeTwoArgs},
                            {"scalar_lt", kPrimTypeTwoArgs},
                            {"scalar_ne", kPrimTypeTwoArgs},
-                           {"scalar_mod", kPrimTypeTwoArgs},
-                           {"scalar_mul", kPrimTypeTwoArgs},
-                           {"scalar_pow", kPrimTypeTwoArgs},
-                           {"scalar_sub", kPrimTypeTwoArgs},
-                           {"scalar_floordiv", kPrimTypeTwoArgs}}) {}
+                           {kScalarMod, kPrimTypeTwoArgs},
+                           {kScalarMul, kPrimTypeTwoArgs},
+                           {kScalarPow, kPrimTypeTwoArgs},
+                           {kScalarSub, kPrimTypeTwoArgs},
+                           {kScalarFloordiv, kPrimTypeTwoArgs}}) {}
 
 bool PrimToFunction::GetFunction(const PrimitivePtr &prim, FunctionPtr *const func) const {
   bool result = false;

mindspore/ccsrc/frontend/parallel/graph_util/node_info.cc

@@ -18,6 +18,7 @@
 
 #include <string>
 
+#include "base/core_ops.h"
 #include "ir/param_info.h"
 #include "ir/meta_tensor.h"
 #include "pipeline/jit/parse/python_adapter.h"
@@ -306,7 +307,7 @@ bool FindReshapePreNodeStraCosts(const AnfNodePtr &node, OperatorInfoPtr *pre_op
   }
   ValueNodePtr prim_anf_node = cnode->input(0)->cast<ValueNodePtr>();
   PrimitivePtr prim = prim_anf_node->value()->cast<PrimitivePtr>();
-  if (prim->name() == TUPLE_GETITEM) {
+  if (prim->name() == prim::kTupleGetItem) {
     *out_index = GetTupleGetItemIndex(cnode);
     // find tuple_get_item's previous node
     auto pre_node = cnode->input(1);

mindspore/ccsrc/frontend/parallel/ops_info/ops_utils.h

@@ -17,6 +17,8 @@
 #ifndef MINDSPORE_CCSRC_FRONTEND_PARALLEL_OPS_INFO_OPS_UTILS_H_
 #define MINDSPORE_CCSRC_FRONTEND_PARALLEL_OPS_INFO_OPS_UTILS_H_
 
+#include "base/core_ops.h"
+
 namespace mindspore {
 namespace parallel {
 constexpr size_t PRELU_INPUTS_SIZE = 2;
@@ -320,7 +322,6 @@ constexpr char KStridedSlice[] = "StridedSlice";
 constexpr char UNIQUE[] = "Unique";
 
 // Parallel don't care
-constexpr char TUPLE_GETITEM[] = "tuple_getitem";
 constexpr char STRING_EQUAL[] = "string_equal";
 constexpr char MAKE_TUPLE[] = "make_tuple";
 constexpr char MAKE_LIST[] = "make_list";

mindspore/ccsrc/frontend/parallel/ops_info/unique_info.cc

@@ -22,6 +22,7 @@
 #include <vector>
 
 #include "ir/value.h"
+#include "base/core_ops.h"
 #include "frontend/parallel/device_matrix.h"
 #include "frontend/parallel/graph_util/generate_graph.h"
 #include "frontend/parallel/strategy.h"
@@ -206,8 +207,8 @@ Status UniqueInfo::ComputeReplaceGraph(const CNodePtr &cnode) {
   auto minimum = gen_g.PushBack({gen_g.NewOpInst(MINIMUM), relu, CreateInt32Tensor(slice_size - 1)});
   auto equal = gen_g.PushBack({gen_g.NewOpInst(EQUAL), sub, minimum});
   auto unique = gen_g.PushBack({gen_g.NewOpInst(replace_op_name_), gen_g.virtual_input_node()});
-  auto tuple_getitem_0 = gen_g.PushBack({gen_g.NewOpInst(TUPLE_GETITEM), unique, CreatInt64Imm(0)});
-  auto tuple_getitem_1 = gen_g.PushBack({gen_g.NewOpInst(TUPLE_GETITEM), unique, CreatInt64Imm(1)});
+  auto tuple_getitem_0 = gen_g.PushBack({gen_g.NewOpInst(prim::kTupleGetItem), unique, CreatInt64Imm(0)});
+  auto tuple_getitem_1 = gen_g.PushBack({gen_g.NewOpInst(prim::kTupleGetItem), unique, CreatInt64Imm(1)});
   auto dtype = gen_g.PushBack({gen_g.NewOpInst(DTYPE), tuple_getitem_1});
   auto cast = gen_g.PushBack({gen_g.NewOpInst(CAST), equal, dtype});
   auto mul = gen_g.PushBack({gen_g.NewOpInst(MUL), tuple_getitem_1, cast});

mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc

@@ -28,6 +28,7 @@
 #include <vector>
 #include <unordered_set>
 
+#include "base/core_ops.h"
 #include "frontend/optimizer/opt.h"
 #include "frontend/optimizer/optimizer.h"
 #include "frontend/parallel/auto_parallel/dp_algo_costmodel.h"
@@ -599,8 +600,8 @@ void ConstructCostGraphEdges(const std::vector<AnfNodePtr> &all_nodes) {
       PrimitivePtr prev_prim = prev_prim_anf_node->value()->cast<PrimitivePtr>();
       size_t output_index = 0;
 
-      bool bool_result =
-        (IsAutoParallelCareNode(prev_cnode)) || (prev_prim->name() == TUPLE_GETITEM) || (prev_prim->name() == DEPEND);
+      bool bool_result = (IsAutoParallelCareNode(prev_cnode)) || (prev_prim->name() == prim::kTupleGetItem) ||
+                         (prev_prim->name() == DEPEND);
       while (bool_result) {
         if (IsAutoParallelCareNode(prev_cnode)) {
           auto prev_op_info = prev_cnode->user_data<OperatorInfo>();
@@ -639,7 +640,7 @@ void ConstructCostGraphEdges(const std::vector<AnfNodePtr> &all_nodes) {
           edge_count++;
 
           break;
-        } else if (prev_prim->name() == TUPLE_GETITEM) {
+        } else if (prev_prim->name() == prim::kTupleGetItem) {
           // In this case, 'prev_anf_node' is 'tuple_getitem', the actual precursor node is node before
           // this 'tuple_getitem'
           MS_LOG(INFO) << "Jumping the 'tuple_getitem' operator.";
@@ -672,8 +673,8 @@ void ConstructCostGraphEdges(const std::vector<AnfNodePtr> &all_nodes) {
                        << "and creating an edge between the Operator before "
                        << "'depend' and the Operator after 'depend'.";
         }
-        bool_result =
-          (IsAutoParallelCareNode(prev_cnode)) || (prev_prim->name() == TUPLE_GETITEM) || (prev_prim->name() == DEPEND);
+        bool_result = (IsAutoParallelCareNode(prev_cnode)) || (prev_prim->name() == prim::kTupleGetItem) ||
+                      (prev_prim->name() == DEPEND);
       }
     }
     MS_LOG(INFO) << "Successfully created " << edge_count << " edges for: " << node_op_info->name();
@@ -960,13 +961,13 @@ std::vector<std::vector<std::string>> RecInputTensorNames(const std::map<std::st
 
 CNodePtr GetInternalOperatorInfo(const CNodePtr &cnode, const ValueNodePtr &prim_anf_node) {
   PrimitivePtr prim = GetValueNode<PrimitivePtr>(prim_anf_node);
-  if (prim->name() == TUPLE_GETITEM || prim->name() == DEPEND) {
+  if (prim->name() == prim::kTupleGetItem || prim->name() == DEPEND) {
     auto prev_cnode = cnode->input(1)->cast<CNodePtr>();
     if (prev_cnode == nullptr || !IsValueNode<Primitive>(prev_cnode->input(0))) {
       return nullptr;
     }
     auto prev_prim = prev_cnode->input(0)->cast<ValueNodePtr>()->value()->cast<PrimitivePtr>();
-    while (prev_prim->name() == TUPLE_GETITEM || prev_prim->name() == DEPEND) {
+    while (prev_prim->name() == prim::kTupleGetItem || prev_prim->name() == DEPEND) {
       prev_cnode = prev_cnode->input(1)->cast<CNodePtr>();
       if (prev_cnode == nullptr || !IsValueNode<Primitive>(prev_cnode->input(0))) {
         return nullptr;

mindspore/ccsrc/frontend/parallel/step_parallel.cc

@@ -27,6 +27,7 @@
 #include <unordered_map>
 #include <utility>
 
+#include "base/core_ops.h"
 #include "frontend/operator/ops.h"
 #include "frontend/optimizer/optimizer.h"
 #include "frontend/parallel/auto_parallel/graph_costmodel.h"
@@ -311,7 +312,7 @@ void ForwardCommunication(OperatorVector forward_op, const CNodePtr &node) {
     }
     PrimitivePtr value_node_prim = GetValueNode<PrimitivePtr>(uses_cnode->input(0));
     MS_EXCEPTION_IF_NULL(value_node_prim);
-    if (value_node_prim->name() == TUPLE_GETITEM) {
+    if (value_node_prim->name() == prim::kTupleGetItem) {
       if (uses_set.size() > 1) {
         MS_LOG(EXCEPTION) << "Now only support one output, but got " << uses_set.size();
       }
@@ -409,7 +410,7 @@ void InsertGetTensorSliceOp(const Operator &op, const CNodePtr &node, const Func
 TensorLayout GetTensorInLayout(const CNodePtr &middle_node, const PrimitivePtr &middle_prim,
                                const OperatorInfoPtr &distribute_operator) {
   TensorInfo tensorinfo_in;
-  if (middle_prim->name() == TUPLE_GETITEM) {
+  if (middle_prim->name() == prim::kTupleGetItem) {
     auto value_node = middle_node->input(2)->cast<ValueNodePtr>();
     MS_EXCEPTION_IF_NULL(value_node);
     size_t index_s = LongToSize(GetValue<int64_t>(value_node->value()));
@@ -603,7 +604,7 @@ void StepRedistribution(const CNodePtr &node, const OperatorInfoPtr &distribute_
     MS_EXCEPTION_IF_NULL(current_value);
     PrimitivePtr current_prim = current_value->value()->cast<PrimitivePtr>();
     MS_EXCEPTION_IF_NULL(current_prim);
-    insert_node_new = ((current_prim->name() == TUPLE_GETITEM) ? node : insert_node);
+    insert_node_new = ((current_prim->name() == prim::kTupleGetItem) ? node : insert_node);
   } else {
     insert_node_new = insert_node;
   }
@@ -2117,7 +2118,7 @@ std::shared_ptr<TensorLayout> FindPrevLayout(const AnfNodePtr &node) {
   }
   ValueNodePtr prim_anf_node = cnode->input(0)->cast<ValueNodePtr>();
   PrimitivePtr prim = prim_anf_node->value()->cast<PrimitivePtr>();
-  if (prim->name() == TUPLE_GETITEM) {
+  if (prim->name() == prim::kTupleGetItem) {
     auto tuple_index = GetTupleGetItemIndex(cnode);
     auto layout_ptr = FindPrevParallelCareNodeLayout(cnode->input(1), LongToSize(tuple_index));
     if (!layout_ptr) {
@@ -2234,7 +2235,7 @@ LossNodeInfo FindLossCNode(const FuncGraphPtr &func_graph) {
   }
 
   // return -> tuple_getitem -> loss
-  if (current_prim->name() == TUPLE_GETITEM) {
+  if (current_prim->name() == prim::kTupleGetItem) {
     auto tuple_index = GetTupleGetItemIndex(pre_cnode);
     AnfNodePtr pre_pre_node = pre_cnode->input(1);
     MS_EXCEPTION_IF_NULL(pre_pre_node);
@@ -2491,7 +2492,7 @@ std::vector<std::pair<CNodePtr, LossNodeInfo>> GetSensLossPairs(const FuncGraphP
     }
 
     auto expect_tuple_getitem_cnode = expect_tuple_getitem->cast<CNodePtr>();
-    if (!IsSomePrimitive(expect_tuple_getitem_cnode, TUPLE_GETITEM)) {
+    if (!IsSomePrimitive(expect_tuple_getitem_cnode, prim::kTupleGetItem)) {
       continue;
     }
 

mindspore/ccsrc/transform/graph_ir/convert.cc

@@ -21,6 +21,7 @@
 #include <stack>
 #include "utils/utils.h"
 
+#include "base/core_ops.h"
 #include "frontend/operator/ops.h"
 #include "utils/log_adapter.h"
 #include "ir/graph_utils.h"
@@ -631,7 +632,7 @@ void DfGraphConvertor::TraceOutput(const AnfNodePtr node) {
       MS_LOG(EXCEPTION) << "length of inputs is " << c->inputs().size() << ", which is less than 3";
     }
     TraceOutput(c->input(1));
-  } else if (name == "tuple_getitem") {
+  } else if (name == prim::kTupleGetItem) {
     TraceOutputFromTupleGetItem(anf_out);
   } else {
     // add outputs;
@@ -1014,7 +1015,7 @@ void DfGraphConvertor::SetOpInput(const OpAdapterPtr &adpt, const CNodePtr &node
     if (it != out_handle_cache_.end()) {
       int ret = adpt->setInput(src, SizeToInt(i), it->second);
       if (ret == 0) {
-        if (pred->isa<CNode>() && GetCNodeTargetFuncName(pred->cast<CNodePtr>()) == "tuple_getitem") {
+        if (pred->isa<CNode>() && GetCNodeTargetFuncName(pred->cast<CNodePtr>()) == prim::kTupleGetItem) {
           compute_sout_ << op_draw_name_[pred->cast<CNodePtr>()->input(1).get()] << " -> " << op_draw_name_[node.get()]
                         << ":" << i << endl;
         } else if (pred->isa<Parameter>()) {
@@ -1538,7 +1539,7 @@ bool DfGraphConvertor::CheckCNode(const std::string &name, const CNodePtr node)
   }
 
   // As for nodes with multi outputs, convert tuple_getitem to OutHandle
-  if (name == "tuple_getitem") {
+  if (name == prim::kTupleGetItem) {
     ConvertTupleGetItem(node);
     return false;
   }

mindspore/core/base/core_ops.h

@@ -26,19 +26,33 @@
 namespace mindspore {
 namespace prim {
 constexpr auto kGather = "Gather";
+// Arithmetic
+constexpr auto kScalarAdd = "ScalarAdd";
+constexpr auto kScalarSub = "ScalarSub";
+constexpr auto kScalarMul = "ScalarMul";
+constexpr auto kScalarDiv = "ScalarDiv";
+constexpr auto kScalarFloordiv = "ScalarFloordiv";
+constexpr auto kScalarMod = "ScalarMod";
+constexpr auto kScalarPow = "ScalarPow";
+constexpr auto kScalarTrunc = "ScalarTrunc";
+constexpr auto kScalarFloor = "ScalarFloor";
+constexpr auto kScalarUadd = "ScalarUadd";
+constexpr auto kScalarUsub = "ScalarUsub";
+constexpr auto kTupleGetItem = "TupleGetItem";
+
 // Here list all primitives used in backend or some special primitives used by core.
 // Arithmetic
-inline const PrimitivePtr kPrimScalarAdd = std::make_shared<Primitive>("scalar_add");
-inline const PrimitivePtr kPrimScalarSub = std::make_shared<Primitive>("scalar_sub");
-inline const PrimitivePtr kPrimScalarMul = std::make_shared<Primitive>("scalar_mul");
-inline const PrimitivePtr kPrimScalarDiv = std::make_shared<Primitive>("scalar_div");
-inline const PrimitivePtr kPrimScalarFloordiv = std::make_shared<Primitive>("scalar_floordiv");
-inline const PrimitivePtr kPrimScalarMod = std::make_shared<Primitive>("scalar_mod");
-inline const PrimitivePtr kPrimScalarPow = std::make_shared<Primitive>("scalar_pow");
-inline const PrimitivePtr kPrimScalarTrunc = std::make_shared<Primitive>("scalar_trunc");
-inline const PrimitivePtr kPrimScalarFloor = std::make_shared<Primitive>("scalar_floor");
-inline const PrimitivePtr kPrimScalarUadd = std::make_shared<Primitive>("scalar_uadd");
-inline const PrimitivePtr kPrimScalarUsub = std::make_shared<Primitive>("scalar_usub");
+inline const PrimitivePtr kPrimScalarAdd = std::make_shared<Primitive>(kScalarAdd);
+inline const PrimitivePtr kPrimScalarSub = std::make_shared<Primitive>(kScalarSub);
+inline const PrimitivePtr kPrimScalarMul = std::make_shared<Primitive>(kScalarMul);
+inline const PrimitivePtr kPrimScalarDiv = std::make_shared<Primitive>(kScalarDiv);
+inline const PrimitivePtr kPrimScalarFloordiv = std::make_shared<Primitive>(kScalarFloordiv);
+inline const PrimitivePtr kPrimScalarMod = std::make_shared<Primitive>(kScalarMod);
+inline const PrimitivePtr kPrimScalarPow = std::make_shared<Primitive>(kScalarPow);
+inline const PrimitivePtr kPrimScalarTrunc = std::make_shared<Primitive>(kScalarTrunc);
+inline const PrimitivePtr kPrimScalarFloor = std::make_shared<Primitive>(kScalarFloor);
+inline const PrimitivePtr kPrimScalarUadd = std::make_shared<Primitive>(kScalarUadd);
+inline const PrimitivePtr kPrimScalarUsub = std::make_shared<Primitive>(kScalarUsub);
 inline const PrimitivePtr kPrimScalarExp = std::make_shared<Primitive>("scalar_exp");
 inline const PrimitivePtr kPrimScalarLog = std::make_shared<Primitive>("scalar_log");
 inline const PrimitivePtr kPrimScalarSin = std::make_shared<Primitive>("scalar_sin");
@@ -295,7 +309,7 @@ inline const PrimitivePtr kPrimCall = std::make_shared<Primitive>("call");
 
 inline const PrimitivePtr kPrimMakeTuple = std::make_shared<Primitive>("make_tuple");
 inline const PrimitivePtr kPrimMakeSlice = std::make_shared<Primitive>("make_slice");
-inline const PrimitivePtr kPrimTupleGetItem = std::make_shared<Primitive>("tuple_getitem");
+inline const PrimitivePtr kPrimTupleGetItem = std::make_shared<Primitive>(kTupleGetItem);
 inline const PrimitivePtr kPrimArrayGetItem = std::make_shared<Primitive>("array_getitem");
 inline const PrimitivePtr kPrimTupleSetItem = std::make_shared<Primitive>("tuple_setitem");
 inline const PrimitivePtr kPrimArraySetItem = std::make_shared<Primitive>("array_setitem");

mindspore/core/utils/parallel_node_check.cc

@@ -19,9 +19,11 @@
 #include <set>
 #include <string>
 
+#include "base/core_ops.h"
+
 namespace mindspore {
 // clang-format off
-static const std::set<std::string> PARALLEL_BLACK_LIST_ = {"tuple_getitem", "J", "list_getitem",
+static const std::set<std::string> PARALLEL_BLACK_LIST_ = {prim::kTupleGetItem, "J", "list_getitem",
   "array_getitem", "tuple_setitem", "Depend", "list_setitem", "array_setitem", "dict_getitem",
   "list_append", "list_map", "list_reduce", "tuple_reversed", "tile_shape", "tuple_div", "tuple_to_array",
   "make_dict", "make_slice", "make_record", "string_equal", "VirtualLoss", "return", "env_getitem",

mindspore/ops/_grad/grad_implementations.py

@@ -14,6 +14,7 @@
 # ============================================================================
 
 """bprop primitives"""
+from mindspore.ops import _constants
 from ..operations import _grad_ops as G
 from .. import functional as F
 from .. import operations as P
@@ -50,31 +51,31 @@ def bprop_relu_grad_grad(x, y, out, dout):
     return dy, F.zeros_like(y)
 
 
-@bprops.register("scalar_add")
+@bprops.register(_constants.kScalarAdd)
 def bprop_scalar_add(x, y, out, dout):
     """Backpropagator for primitive `scalar_add`."""
     return dout, dout
 
 
-@bprops.register("scalar_mul")
+@bprops.register(_constants.kScalarMul)
 def bprop_scalar_mul(x, y, out, dout):
     """Backpropagator for primitive `scalar_mul`."""
     return dout*y, dout*x
 
 
-@bprops.register("scalar_sub")
+@bprops.register(_constants.kScalarSub)
 def bprop_scalar_sub(x, y, out, dout):
     """Backpropagator for primitive `scalar_sub`."""
     return dout, -dout
 
 
-@bprops.register("scalar_div")
+@bprops.register(_constants.kScalarDiv)
 def bprop_scalar_div(x, y, out, dout):
     """Backpropagator for primitive `scalar_div`."""
     return dout/y, (-dout) * (out/y)
 
 
-@bprops.register("scalar_pow")
+@bprops.register(_constants.kScalarPow)
 def bprop_scalar_pow(x, y, out, dout):
     """Backpropagator for primitive `scalar_pow`."""
     return dout * (y * (x ** (y-1))), dout * (F.scalar_log(x) * out)
@@ -86,13 +87,13 @@ def bprop_scalar_exp(x, out, dout):
     return (dout * out,)
 
 
-@bprops.register("scalar_uadd")
+@bprops.register(_constants.kScalarUadd)
 def bprop_scalar_uadd(x, out, dout):
     """Backpropagator for primitive `scalar_uadd`."""
     return (dout,)
 
 
-@bprops.register("scalar_usub")
+@bprops.register(_constants.kScalarUsub)
 def bprop_scalar_usub(x, out, dout):
     """Backpropagator for primitive `scalar_usub`."""
     return (-dout,)
@@ -140,7 +141,7 @@ def bprop_scalar_cast(x, t, out, dout):
     return F.scalar_cast(dout, F.typeof(x)), t
 
 
-@bprops.register("tuple_getitem")
+@bprops.register(_constants.kTupleGetItem)
 def bprop_tuple_getitem(data, idx, out, dout):
     """Backpropagator for primitive `tuple_getitem`."""
     return F.tuple_setitem(C.zeros_like(data), idx, dout), C.zeros_like(idx)

mindspore/ops/functional.py

@@ -18,11 +18,11 @@
 """The names of functional part are summarized here."""
 
 from mindspore.common._register_for_tensor import tensor_operator_registry
+from mindspore.ops import _constants
 from .primitive import Primitive
 from . import operations as P
 from .operations import _grad_ops
 
-
 typeof = Primitive('typeof')
 hastype = Primitive('hastype')
 cast = P.Cast()
@@ -96,7 +96,7 @@ depend = P.Depend()
 identity = P.identity()
 
 tuple_setitem = Primitive('tuple_setitem')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(_constants.kTupleGetItem)
 list_getitem = Primitive('list_getitem')
 list_setitem = Primitive('list_setitem')
 dict_getitem = Primitive('dict_getitem')
@@ -114,22 +114,22 @@ tuple_equal = Primitive("tuple_equal")
 list_equal = Primitive("list_equal")
 make_ref = Primitive("make_ref")
 
-scalar_add = Primitive('scalar_add')
-scalar_mul = Primitive('scalar_mul')
-scalar_sub = Primitive('scalar_sub')
-scalar_div = Primitive('scalar_div')
-scalar_floordiv = Primitive('scalar_floordiv')
+scalar_add = Primitive(_constants.kScalarAdd)
+scalar_mul = Primitive(_constants.kScalarMul)
+scalar_sub = Primitive(_constants.kScalarSub)
+scalar_div = Primitive(_constants.kScalarDiv)
+scalar_floordiv = Primitive(_constants.kScalarFloordiv)
 scalar_log = Primitive('scalar_log')
-scalar_pow = Primitive('scalar_pow')
+scalar_pow = Primitive(_constants.kScalarPow)
 scalar_gt = Primitive('scalar_gt')
 scalar_ge = Primitive('scalar_ge')
 scalar_le = Primitive('scalar_le')
 scalar_lt = Primitive('scalar_lt')
 scalar_eq = Primitive('scalar_eq')
 scalar_ne = Primitive('scalar_ne')
-scalar_uadd = Primitive('scalar_uadd')
-scalar_usub = Primitive('scalar_usub')
-scalar_mod = Primitive('scalar_mod')
+scalar_uadd = Primitive(_constants.kScalarUadd)
+scalar_usub = Primitive(_constants.kScalarUsub)
+scalar_mod = Primitive(_constants.kScalarMod)
 string_eq = Primitive('string_equal')
 string_concat = Primitive('string_concat')
 bool_not = Primitive("bool_not")

tests/ut/cpp/ir/anf_test.cc

@@ -21,6 +21,7 @@
 #include "ir/anf.h"
 #include "ir/func_graph.h"
 #include "frontend/operator/ops.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 
@@ -32,7 +33,7 @@ class TestAnf : public UT::Common {
 };
 
 TEST_F(TestAnf, test_ValueNode) {
-  auto prim = std::make_shared<Primitive>("scalar_add");
+  auto prim = std::make_shared<Primitive>(prim::kScalarAdd);
   ValueNodePtr c = NewValueNode(prim);
   ASSERT_EQ(c->isa<ValueNode>(), true);
   ASSERT_EQ(IsValueNode<Primitive>(c), true);

tests/ut/cpp/ir/clone_test.cc

@@ -24,6 +24,7 @@
 #include "pipeline/jit/parse/parse.h"
 #include "ir/graph_utils.h"
 #include "debug/draw.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 class TestCloner : public UT::Common {
@@ -89,7 +90,7 @@ TEST_F(TestCloner, test_clone_simple) {
   Cloner cl2(gs);
   auto g3 = cl2[g];
 
-  std::vector<Primitive> results = {Primitive("scalar_add"), Primitive("scalar_mul"), Primitive("return")};
+  std::vector<Primitive> results = {Primitive(prim::kScalarAdd), Primitive(prim::kScalarMul), Primitive("return")};
   AnfNodeSet d3 = AnfNodeSet(DeepScopedGraphSearch(g3->get_return()));
   common = d1 & d3;
   for (auto& x : common) {

tests/ut/cpp/operator/ops_test.cc

@@ -22,6 +22,7 @@
 #include "pybind_api/ir/primitive_py.h"
 #include "pipeline/jit/parse/python_adapter.h"
 #include "frontend/operator/ops.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 namespace prim {
@@ -34,52 +35,52 @@ class TestOps : public UT::Common {
 
 // Arithmetic
 TEST_F(TestOps, ScalarAddTest) {
-  auto prim = std::make_shared<Primitive>("scalar_add");
+  auto prim = std::make_shared<Primitive>(prim::kScalarAdd);
   ASSERT_EQ(prim->name(), kPrimScalarAdd->name());
 }
 
 TEST_F(TestOps, ScalarSubTest) {
-  auto prim = std::make_shared<Primitive>("scalar_sub");
+  auto prim = std::make_shared<Primitive>(prim::kScalarSub);
   ASSERT_EQ(prim->name(), kPrimScalarSub->name());
 }
 
 TEST_F(TestOps, ScalarMulTest) {
-  auto prim = std::make_shared<Primitive>("scalar_mul");
+  auto prim = std::make_shared<Primitive>(prim::kScalarMul);
   ASSERT_EQ(prim->name(), kPrimScalarMul->name());
 }
 
 TEST_F(TestOps, ScalarDivTest) {
-  auto prim = std::make_shared<Primitive>("scalar_div");
+  auto prim = std::make_shared<Primitive>(prim::kScalarDiv);
   ASSERT_EQ(prim->name(), kPrimScalarDiv->name());
 }
 
 TEST_F(TestOps, ScalarModTest) {
-  auto prim = std::make_shared<Primitive>("scalar_mod");
+  auto prim = std::make_shared<Primitive>(prim::kScalarMod);
   ASSERT_EQ(prim->name(), kPrimScalarMod->name());
 }
 
 TEST_F(TestOps, ScalarPowTest) {
-  auto prim = std::make_shared<Primitive>("scalar_pow");
+  auto prim = std::make_shared<Primitive>(prim::kScalarPow);
   ASSERT_EQ(prim->name(), kPrimScalarPow->name());
 }
 
 TEST_F(TestOps, ScalarTruncTest) {
-  auto prim = std::make_shared<Primitive>("scalar_trunc");
+  auto prim = std::make_shared<Primitive>(prim::kScalarTrunc);
   ASSERT_EQ(prim->name(), kPrimScalarTrunc->name());
 }
 
 TEST_F(TestOps, ScalarFloorTest) {
-  auto prim = std::make_shared<Primitive>("scalar_floor");
+  auto prim = std::make_shared<Primitive>(prim::kScalarFloor);
   ASSERT_EQ(prim->name(), kPrimScalarFloor->name());
 }
 
 TEST_F(TestOps, ScalarUaddTest) {
-  auto prim = std::make_shared<Primitive>("scalar_uadd");
+  auto prim = std::make_shared<Primitive>(prim::kScalarUadd);
   ASSERT_EQ(prim->name(), kPrimScalarUadd->name());
 }
 
 TEST_F(TestOps, ScalarUsubTest) {
-  auto prim = std::make_shared<Primitive>("scalar_usub");
+  auto prim = std::make_shared<Primitive>(prim::kScalarUsub);
   ASSERT_EQ(prim->name(), kPrimScalarUsub->name());
 }
 
@@ -187,7 +188,7 @@ TEST_F(TestOps, MakeRecordTest) {
 }
 
 TEST_F(TestOps, TupleGetItemTest) {
-  auto prim = std::make_shared<Primitive>("tuple_getitem");
+  auto prim = std::make_shared<Primitive>(kTupleGetItem);
   ASSERT_EQ(prim->name(), kPrimTupleGetItem->name());
 }
 

tests/ut/cpp/operator/prim2func_test.cc

@@ -22,6 +22,7 @@
 #include "ir/anf.h"
 #include "ir/dtype.h"
 #include "frontend/operator/prim_to_function.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 namespace prim {
@@ -33,7 +34,7 @@ class TestPrimFunc : public UT::Common {
 };
 
 TEST_F(TestPrimFunc, ScalarAddTest) {
-  auto prim = std::make_shared<Primitive>("scalar_add");
+  auto prim = std::make_shared<Primitive>(prim::kScalarAdd);
   FunctionPtr func = nullptr;
   PrimToFunction::GetInstance().GetFunction(prim, &func);
 

tests/ut/cpp/pipeline/static_analysis/prim_test.cc

@@ -27,6 +27,7 @@
 #include "debug/draw.h"
 #include "ir/tensor.h"
 #include "utils/symbolic.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 namespace abstract {
@@ -154,7 +155,7 @@ TEST_F(TestPrim, test_list_map) {
   AbstractBasePtr abstract_v2 = FromValue(static_cast<int64_t>(2), false);
   AbstractBasePtr abstract_u2 = FromValue(static_cast<int64_t>(2), false);
   auto abstract_list2 = std::make_shared<AbstractList>(AbstractBasePtrList({abstract_v2, abstract_u2}));
-  auto prim_scalar_add = std::make_shared<Primitive>("scalar_add");
+  auto prim_scalar_add = std::make_shared<Primitive>(prim::kScalarAdd);
   AbstractBasePtr abstract_func = ToAbstract(prim_scalar_add);
 
   args_spec_list.push_back(abstract_func);
@@ -179,7 +180,7 @@ TEST_F(TestPrim, test_list_reduce) {
   AbstractBasePtr abstract_v1 = FromValue(v1, false);
   AbstractBasePtr abstract_v2 = FromValue(v1, false);
   auto abstract_list = std::make_shared<AbstractList>(AbstractBasePtrList({abstract_v1, abstract_v2}));
-  auto prim_scalar_add = std::make_shared<Primitive>("scalar_add");
+  auto prim_scalar_add = std::make_shared<Primitive>(prim::kScalarAdd);
   AbstractBasePtr abstract_func = ToAbstract(prim_scalar_add);
 
   args_spec_list.push_back(abstract_func);

tests/ut/cpp/pipeline/static_analysis/specialize_test.cc

@@ -27,6 +27,7 @@
 #include "ir/graph_utils.h"
 #include "utils/misc.h"
 #include "debug/draw.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 namespace abstract {
@@ -95,7 +96,7 @@ void TestSpecializeGraph::SetUp() {
   // build func_graph beta
   ParameterPtr x1 = graph_beta_->add_parameter();
   inputs.clear();
-  inputs.push_back(NewValueNode(std::make_shared<Primitive>("scalar_add")));
+  inputs.push_back(NewValueNode(std::make_shared<Primitive>(prim::kScalarAdd)));
   inputs.push_back(x1);
   inputs.push_back(y);
   CNodePtr cnode_add = graph_beta_->NewCNode(inputs);
@@ -166,7 +167,7 @@ class MetaScalarAdd : public MetaFuncGraph {
     FuncGraphPtr graph_g = std::make_shared<FuncGraph>();
     ParameterPtr x = graph_g->add_parameter();
     ParameterPtr y = graph_g->add_parameter();
-    auto prim_scalar_add = std::make_shared<Primitive>("scalar_add");
+    auto prim_scalar_add = std::make_shared<Primitive>(prim::kScalarAdd);
     std::vector<AnfNodePtr> inputs;
     inputs.push_back(NewValueNode(prim_scalar_add));
     inputs.push_back(x);

tests/ut/cpp/pipeline/static_analysis/static_analysis_test.cc

@@ -28,6 +28,7 @@
 #include "pipeline/jit/resource.h"
 #include "debug/draw.h"
 #include "utils/log_adapter.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 namespace abstract {
@@ -96,7 +97,7 @@ class MetaScalarAdd : public MetaFuncGraph {
     FuncGraphPtr fg = std::make_shared<FuncGraph>();
     ParameterPtr x = fg->add_parameter();
     ParameterPtr y = fg->add_parameter();
-    auto prim_scalar_add = std::make_shared<Primitive>("scalar_add");
+    auto prim_scalar_add = std::make_shared<Primitive>(prim::kScalarAdd);
     std::vector<AnfNodePtr> inputs;
     inputs.push_back(NewValueNode(prim_scalar_add));
     inputs.push_back(x);
@@ -161,7 +162,7 @@ TEST_F(TestInfer, test_inferred_scalar_add) {
   args_spec_list.push_back(abstract_v1);
   args_spec_list.push_back(abstract_v2);
 
-  auto prim_scalar_add = std::make_shared<Primitive>("scalar_add");
+  auto prim_scalar_add = std::make_shared<Primitive>(prim::kScalarAdd);
   FuncGraphPtr func_graph = MakeFuncGraph(prim_scalar_add);
   AbstractBasePtr abs_base_got = engine_->Run(func_graph, args_spec_list).inferred->abstract();
   ASSERT_TRUE(abs_base_got.get() == abstract_v1.get());
@@ -388,7 +389,7 @@ TEST_F(TestInferUniform, test_inferred_scalar_add) {
   args_spec.push_back(abstract_v1);
   args_spec.push_back(abstract_v2);
 
-  auto prim_scalar_add = std::make_shared<Primitive>("scalar_add");
+  auto prim_scalar_add = std::make_shared<Primitive>(prim::kScalarAdd);
   FuncGraphPtr func_graph = MakeFuncGraph(prim_scalar_add);
   AbstractBasePtr abs_base_got = engine_->Run(func_graph, args_spec).inferred->abstract();
   ASSERT_TRUE(*(abs_base_got->GetTypeTrack()) == *(abstract_v1->GetTypeTrack()));
@@ -418,7 +419,7 @@ TEST_F(TestEvalOnePrim, test_scalar_add) {
   AbstractBasePtr base1 = FromValue(x1, false);
   AbstractBasePtr base2 = FromValue(x2, false);
   AbstractBasePtrList base_list = {base1, base2};
-  auto res = EvalOnePrim(std::make_shared<Primitive>("scalar_add"), base_list)->abstract();
+  auto res = EvalOnePrim(std::make_shared<Primitive>(prim::kScalarAdd), base_list)->abstract();
   MS_LOG(INFO) << "result spec: " << res->ToString();
   AbstractBasePtr exp = FromValue(x3, false);
   MS_LOG(INFO) << "result exp: " << exp->ToString();

tests/ut/cpp/python_input/gtest_input/ir/clone_test.py

@@ -14,9 +14,10 @@
 # ============================================================================
 """ Test for GraphCloner """
 from mindspore.ops import Primitive
+from mindspore.ops import _constants as Constants
 
-scala_add = Primitive('scalar_add')
-scalar_mul = Primitive('scalar_mul')
+scala_add = Primitive(Constants.kScalarAdd)
+scalar_mul = Primitive(Constants.kScalarMul)
 
 
 def test_clone_simple():

tests/ut/cpp/python_input/gtest_input/optimizer/ad/ad_test.py

@@ -18,9 +18,11 @@ import numpy as np
 import mindspore as ms
 from mindspore.common.tensor import Tensor
 from mindspore.ops import Primitive
+from mindspore.ops import _constants as Constants
 from tests.ut.python.model.resnet import resnet50
 
-scala_add = Primitive('scalar_add')
+
+scala_add = Primitive(Constants.kScalarAdd)
 
 
 @dataclass

tests/ut/cpp/python_input/gtest_input/optimizer/opt_test.py

@@ -17,6 +17,7 @@ import numpy as np
 
 from mindspore import Tensor
 from mindspore.ops import Primitive
+from mindspore.ops import _constants as Constants
 from mindspore.ops import operations as P
 from mindspore.ops.operations import _grad_ops as G
 
@@ -26,9 +27,9 @@ from mindspore.ops.operations import _grad_ops as G
 # pylint: disable=unused-argument
 # pylint: disable=redefined-outer-name
 
-scalar_add = Primitive('scalar_add')
-scalar_mul = Primitive('scalar_mul')
-tuple_getitem = Primitive('tuple_getitem')
+scalar_add = Primitive(Constants.kScalarAdd)
+scalar_mul = Primitive(Constants.kScalarMul)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 switch = Primitive('switch')
 
 
@@ -347,7 +348,7 @@ def test_inline_while(tag):
 def test_cse(tag):
     """ test_cse """
     fns = FnDict()
-    scalar_div = Primitive('scalar_div')
+    scalar_div = Primitive(Constants.kScalarDiv)
 
     @fns
     def test_f1(x, y):
@@ -920,9 +921,9 @@ def test_convert_switch_ops(tag):
     fns = FnDict()
     ge_switch = Primitive('GeSwitch')
     merge = Primitive('Merge')
-    add = Primitive('Add')
+    add = Primitive(Constants.kScalarAdd)
     neg = Primitive('Neg')
-    tuple_getitem = Primitive('tuple_getitem')
+    tuple_getitem = Primitive(Constants.kTupleGetItem)
     make_tuple = Primitive('make_tuple')
 
     @fns

tests/ut/cpp/python_input/gtest_input/pipeline/infer/infer_test.py

@@ -18,8 +18,9 @@ import mindspore.nn as nn
 from mindspore.ops import Primitive
 from mindspore.ops import functional as F
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
-scala_add = Primitive('scalar_add')
+scala_add = Primitive(Constants.kScalarAdd)
 
 
 @dataclass

tests/ut/cpp/python_input/gtest_input/pre_activate/adam_apply_one_fusion_test.py

@@ -15,6 +15,8 @@
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import functional as F
+from mindspore.ops import _constants as Constants
+
 
 Add = P.Add()
 Sub = P.Sub()
@@ -24,7 +26,7 @@ Sqrt = P.Sqrt()
 Square = P.Square()
 Assign = P.Assign()
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 AdamApplyOne = Primitive('AdamApplyOne')
 AdamApplyOneAssign = Primitive('AdamApplyOneAssign')
 

tests/ut/cpp/python_input/gtest_input/pre_activate/adam_apply_one_with_decay_rule.py

@@ -16,6 +16,7 @@
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import functional as F
+from mindspore.ops import _constants as Constants
 
 mul = P.Mul()
 add = P.Add()
@@ -25,7 +26,7 @@ real_div = P.RealDiv()
 sub = P.Sub()
 Assign = P.Assign()
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 adam_apply_one_with_decay = Primitive('AdamApplyOneWithDecay')
 adam_apply_one_with_decay_assign = Primitive('AdamApplyOneWithDecayAssign')
 

tests/ut/cpp/python_input/gtest_input/pre_activate/batch_norm_bert_fission_test.py

@@ -14,9 +14,10 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 BatchNorm = P.BatchNorm()
 BNTrainingReduce = Primitive('BNTrainingReduce')
 BNTrainingUpdateV2 = Primitive('BNTrainingUpdateV2')

tests/ut/cpp/python_input/gtest_input/pre_activate/batch_norm_grad_infer_fission_test.py

@@ -14,9 +14,10 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops.operations import _grad_ops as G
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 BatchNormGradTraining = G.BatchNormGrad(is_training=True)
 BatchNormGradInfer = G.BatchNormGrad(is_training=False)
 BNInferGrad = Primitive('BNInferGrad')

tests/ut/cpp/python_input/gtest_input/pre_activate/batch_norm_grad_split.py

@@ -15,12 +15,13 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops.operations import _grad_ops as G
+from mindspore.ops import _constants as Constants
 
 batch_norm_grad = G.BatchNormGrad(is_training=True)
 bn_training_update_grad = Primitive('BNTrainingUpdateGrad')
 bn_training_reduce_grad = Primitive('BNTrainingReduceGrad')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/batchnorm_to_bninfer.py

@@ -15,11 +15,12 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 batch_norm = P.BatchNorm(is_training=False)
 bn_infer = Primitive('BNInfer')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/batchnormgrad_to_bninfergrad.py

@@ -15,11 +15,12 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops.operations import _grad_ops as G
+from mindspore.ops import _constants as Constants
 
 batch_norm_grad = G.BatchNormGrad(is_training=False)
 bn_infer_grad = Primitive('BNInferGrad')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/bn_grad_split.py

@@ -15,9 +15,10 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops.operations import _grad_ops as G
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 bn_grad = G.BatchNormGrad(is_training=True)
 bn_grad1 = Primitive('BNGrad1')
 bn_grad2 = Primitive('BNGrad2')

tests/ut/cpp/python_input/gtest_input/pre_activate/bn_split.py

@@ -15,9 +15,10 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 bn = P.BatchNorm(is_training=True)
 fused_bn1 = Primitive('FusedBN1')
 fused_bn2 = Primitive('FusedBN2')

tests/ut/cpp/python_input/gtest_input/pre_activate/clip_by_norm_no_div_square_sum_fusion.py

@@ -14,6 +14,7 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 select = P.Select()
 maximum = P.Maximum()
@@ -21,7 +22,7 @@ sqrt = P.Sqrt()
 greater = P.Greater()
 clip_by_norm_no_div_square_sum = Primitive('ClipByNormNoDivSum')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/clip_by_value_fusion.py

@@ -14,12 +14,13 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 maximum = P.Maximum()
 minimum = P.Minimum()
 clip_by_value = Primitive('ClipByValue')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/confusion_mul_grad_fusion.py

@@ -14,13 +14,14 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 addn = P.AddN()
 mul = P.Mul()
 reduce_sum = P.ReduceSum()
 confusion_mul_grad = Primitive('ConfusionMulGrad')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 axis = 1
 
 

tests/ut/cpp/python_input/gtest_input/pre_activate/confusion_softmax_grad_rule.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 # ============================================================================
 from mindspore.ops import Primitive
+from mindspore.ops import _constants as Constants
 from mindspore.ops import operations as P
 
 mul = P.Mul()
@@ -20,7 +21,7 @@ reduce_sum = P.ReduceSum(keep_dims=True)
 sub = P.Sub()
 confusion_softmax_grad = Primitive('ConfusionSoftmaxGrad')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 axis = 2
 
 

tests/ut/cpp/python_input/gtest_input/pre_activate/convert_tuple_output_to_maketuple_test.py

@@ -14,9 +14,10 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_get_item = Primitive("tuple_getitem")
+tuple_get_item = Primitive(Constants.kTupleGetItem)
 LSTM = P.LSTM(input_size=10, hidden_size=2, num_layers=1, has_bias=True, bidirectional=False, dropout=0.0)
 add = P.Add()
 

tests/ut/cpp/python_input/gtest_input/pre_activate/derelu_fusion.py

@@ -14,13 +14,14 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 relu = P.ReLU()
 relu_grad = Primitive('ReluGrad')
 relu_v2 = Primitive('ReLUV2')
 relu_grad_v2 = Primitive('ReluGradV2')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/fused_batch_norm_fusion_test.py

@@ -17,12 +17,13 @@ from mindspore.common.tensor import Tensor
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import functional as F
+from mindspore.ops import _constants as Constants
 
 AssignSub = P.AssignSub()
 Mul = P.Mul()
 Sub = P.Sub()
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 BatchNorm = P.BatchNorm()
 Cast = P.Cast()
 BNTrainingReduce = Primitive('BNTrainingReduce')

tests/ut/cpp/python_input/gtest_input/pre_activate/getitem_tuple.py

@@ -14,9 +14,10 @@
 # ============================================================================
 
 from mindspore.ops import Primitive
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/hw_opt_test.py

@@ -14,8 +14,9 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 depend = P.Depend()
 addn = P.AddN()
 add = P.Add()

tests/ut/cpp/python_input/gtest_input/pre_activate/insert_memcpy_async_for_getnext.py

@@ -15,12 +15,13 @@
 
 import mindspore as ms
 from mindspore.ops import Primitive
+from mindspore.ops import _constants as Constants
 from mindspore.ops import operations as P
 
 get_next = P.GetNext([ms.float32, ms.int32], [[32, 64], [32]], 2, "")
 memcpy_async = Primitive('memcpy_async')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/insert_memcpy_async_for_hccl_op.py

@@ -15,12 +15,13 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 all_reduce = P.AllReduce()
 broadcast = P.Broadcast(1)
 memcpy_async = Primitive('memcpy_async')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 apply_momentun = P.ApplyMomentum()
 control_depend = P.ControlDepend()
 relu = P.ReLU()

tests/ut/cpp/python_input/gtest_input/pre_activate/insert_trans_op_test.py

@@ -14,8 +14,9 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.Add()
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 make_tuple = Primitive('make_tuple')

tests/ut/cpp/python_input/gtest_input/pre_activate/ir_fusion_test.py

@@ -15,14 +15,15 @@
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops.operations import _grad_ops as G
+from mindspore.ops import _constants as Constants
 
 # pylint: disable=unused-variable
 
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.Add()
 allreduce = P.AllReduce()
 allreduce.add_prim_attr('fusion', 1)
-make_tuple = Primitive('make_tuple')
+make_tuple = Primitive("make_tuple")
 conv = P.Conv2D(out_channel=64, kernel_size=7, mode=1, pad_mode="valid", pad=0, stride=1, dilation=1, group=1)
 bn = P.FusedBatchNorm()
 relu = P.ReLU()

tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_next_mv_rule_test.py

@@ -14,6 +14,7 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 Add = P.Add()
 Mul = P.Mul()
@@ -21,7 +22,7 @@ RealDiv = P.RealDiv()
 Rsqrt = P.Rsqrt()
 Sqrt = P.Sqrt()
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 LambNextMV = Primitive('LambNextMV')
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_next_mv_with_decay_rule_test.py

@@ -14,6 +14,7 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 Add = P.Add()
 Mul = P.Mul()
@@ -21,7 +22,7 @@ RealDiv = P.RealDiv()
 Rsqrt = P.Rsqrt()
 Sqrt = P.Sqrt()
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 LambNextMVWithDecay = Primitive('LambNextMVWithDecay')
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_next_mv_with_decay_v1_rule.py

@@ -14,6 +14,7 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 add = P.Add()
 mul = P.Mul()
@@ -21,7 +22,7 @@ real_div = P.RealDiv()
 rsqrt = P.Rsqrt()
 sqrt = P.Sqrt()
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 LambNextMVWithDecayV1 = Primitive('LambNextMVWithDecayV1')
 
 

tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_next_right_rule_test.py

@@ -14,13 +14,14 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 Add = P.Add()
 Mul = P.Mul()
 Sqrt = P.Sqrt()
 Square = P.Square()
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 LambNextRight = Primitive('LambNextRight')
 
 

tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_update_with_lr_rule_fusion.py

@@ -14,6 +14,7 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 select = P.Select()
 maximum = P.Maximum()
@@ -24,7 +25,7 @@ mul = P.Mul()
 sub = P.Sub()
 lamb_update_with_lr = Primitive('LambUpdateWithLR')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_update_with_lr_v2_test.py

@@ -14,6 +14,7 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 Sub = P.Sub()
 Mul = P.Mul()
@@ -21,7 +22,7 @@ RealDiv = P.RealDiv()
 Select = P.Select()
 Greater = P.Greater()
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 LambUpdateWithLrV2 = Primitive('LambUpdateWithLrV2')
 
 

tests/ut/cpp/python_input/gtest_input/pre_activate/lars_v2_fission_test.py

@@ -14,12 +14,13 @@
 # ============================================================================
 
 from mindspore.ops import Primitive
+from mindspore.ops import _constants as Constants
 
 lars_v2 = Primitive('LarsV2')
 square_sum_all = Primitive('SquareSumAll')
 lars_v2_update = Primitive('LarsV2Update')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/layer_norm_beta_gamma_backprop_fusion_test.py

@@ -14,11 +14,12 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 Add = P.Add()
 Cast = P.Cast()
 LayerNormBetaGammaBackprop = Primitive('LayerNormBetaGammaBackprop')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/layer_norm_grad_split.py

@@ -15,9 +15,10 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops.operations import _grad_ops as G
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 layer_norm_grad = G.LayerNormGrad()
 layer_norm_x_backprop = Primitive('LayerNormXBackprop')
 layer_norm_beta_gamma_backprop = Primitive('LayerNormBetaGammaBackprop')

tests/ut/cpp/python_input/gtest_input/pre_activate/mixed_precision_test.py

@@ -14,8 +14,9 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 depend = P.Depend()
 addn = P.AddN()
 add = P.Add()

tests/ut/cpp/python_input/gtest_input/pre_activate/momentum_lossscale_fusion_test.py

@@ -16,11 +16,12 @@ import mindspore.common.dtype as mstype
 from mindspore.common.tensor import Tensor
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 Mul = P.Mul()
 ApplyMomentum = P.ApplyMomentum()
 FusedMulApplyMomentum = Primitive('FusedMulApplyMomentum')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 make_tuple = Primitive('make_tuple')
 constant = Tensor(1.0, mstype.float32)
 

tests/ut/cpp/python_input/gtest_input/pre_activate/mul_add_fusion_test.py

@@ -14,12 +14,13 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 add = P.Add()
 mul = P.Mul()
 fused_mul_add = Primitive('FusedMulAdd')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/mul_addn_fusion_test.py

@@ -16,12 +16,13 @@ import mindspore.common.dtype as mstype
 from mindspore.common.tensor import Tensor
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 addn = P.AddN()
 mul = P.Mul()
 fused_mul_addn = Primitive('FusedMulAddN')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 scalar = Tensor(1.0, mstype.float32)
 
 

tests/ut/cpp/python_input/gtest_input/pre_activate/reduce_min_fission_test.py

@@ -15,9 +15,10 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 reduce_min = P.ReduceMin(keep_dims=False)
 reduce_min1 = Primitive('ReduceMin')
 reduce_min2 = Primitive('ReduceMin')

tests/ut/cpp/python_input/gtest_input/pre_activate/remove_internal_output_test.py

@@ -14,8 +14,9 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.Add()
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 make_tuple = Primitive('make_tuple')

tests/ut/cpp/python_input/gtest_input/pre_activate/single_batch_norm_fission_test.py

@@ -14,9 +14,10 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 BatchNorm = P.BatchNorm(is_training=True)
 BNTrainingReduce = Primitive('BNTrainingReduce')
 BNTrainingUpdateV3 = Primitive('BNTrainingUpdateV3')

tests/ut/cpp/python_input/gtest_input/pre_activate/softmax_grad_ext_fusion.py

@@ -14,13 +14,14 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 Mul = P.Mul()
 ReduceSum = P.ReduceSum(keep_dims=True)
 Sub = P.Sub()
 SoftmaxGradExt = Primitive('SoftmaxGradExt')
 MakeTuple = Primitive('make_tuple')
-TupleGetItem = Primitive('tuple_getitem')
+TupleGetItem = Primitive(Constants.kTupleGetItem)
 axes = (2, 3)
 
 

tests/ut/cpp/python_input/gtest_input/pre_activate/split_fission_test.py

@@ -15,10 +15,11 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 split = P.Split(0, 8)
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 splitv = Primitive('SplitV')
 
 

tests/ut/cpp/python_input/gtest_input/pre_activate/square_sum_fusion.py

@@ -14,9 +14,10 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 square = P.Square()
 reduce_sum = P.ReduceSum()
 square_sumv1 = Primitive('SquareSumV1')

tests/ut/cpp/python_input/gtest_input/pre_activate/tensor_scatter_update_fission_test.py

@@ -14,12 +14,13 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 tensor_scatter_update = P.TensorScatterUpdate()
 tensor_move = Primitive('TensorMove')
 scatter_nd_update = Primitive('ScatterNdUpdate')
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/topk_split_test.py

@@ -15,9 +15,10 @@
 
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 TopK = P.TopK()
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

tests/ut/cpp/python_input/gtest_input/pre_activate/transdata_split_test.py

@@ -14,8 +14,9 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.Add()
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 make_tuple = Primitive('make_tuple')

tests/ut/cpp/python_input/gtest_input/pre_activate/transpose_transdata_fusion_test.py

@@ -14,8 +14,9 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.Add()
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 make_tuple = Primitive('make_tuple')

tests/ut/cpp/python_input/gtest_input/pre_activate/unsorted_segment_sum_fission.py

@@ -14,9 +14,10 @@
 # ============================================================================
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive('make_tuple')
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 unsorted_segment_sum = P.UnsortedSegmentSum()
 num_segments = 4
 padding = Primitive('Padding')

tests/ut/cpp/python_input/gtest_input/session/session_test.py

@@ -15,12 +15,13 @@
 import mindspore.common.dtype as mstype
 from mindspore.ops import Primitive
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 
 addn = P.AddN()
 add = P.Add()
 reshape = P.Reshape()
 cast = P.Cast()
-tuple_getitem = Primitive('tuple_getitem')
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 
 

tests/ut/cpp/python_input/gtest_input/transform/multi_relu_case.py

@@ -14,6 +14,7 @@
 # ============================================================================
 """ multi_relu_case """
 from mindspore.ops import Primitive
+from mindspore.ops import _constants as Constants
 
 
 # Test user define ops
@@ -21,7 +22,7 @@ def get_test_ops_fn():
     return test_ops_f
 
 
-scalar_mul = Primitive('scalar_mul')
+scalar_mul = Primitive(Constants.kScalarMul)
 
 
 def test_ops_f(x, y):

tests/ut/cpp/python_input/gtest_input/vm/vm_test.py

@@ -14,18 +14,19 @@
 # ============================================================================
 """ vm_test """
 from mindspore.ops import Primitive
+from mindspore.ops import _constants as Constants
 
-scala_add = Primitive('scalar_add')
-scala_mul = Primitive('scalar_mul')
+scala_add = Primitive(Constants.kScalarAdd)
+scala_mul = Primitive(Constants.kScalarMul)
 scalar_gt = Primitive('scalar_gt')
 
 
-def scalar_add(x, y):
+def ScalarAdd(x, y):
     """Implement `scalar_add`."""
     return scala_add(x, y)
 
 
-def scalar_mul(x, y):
+def ScalarMul(x, y):
     """Implement `scalar_mul`."""
     return scala_mul(x, y)
 

tests/ut/cpp/utils/validator_test.cc

@@ -23,6 +23,7 @@
 #include "ir/manager.h"
 #include "pipeline/jit/static_analysis/prim.h"
 #include "frontend/operator/ops.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 namespace validator {
@@ -35,7 +36,7 @@ class TestValidator : public UT::Common {
 };
 
 TEST_F(TestValidator, ValidateOperation01) {
-  auto node = NewValueNode(std::make_shared<Primitive>("scalar_add"));
+  auto node = NewValueNode(std::make_shared<Primitive>(prim::kScalarAdd));
   ValidateOperation(node);
   // normally, the above statement should not exit, so expected the following statement execute
   EXPECT_TRUE(true);

tests/ut/cpp/vm/segment_runner_test.cc

@@ -31,6 +31,7 @@
 #include "utils/convert_utils.h"
 #include "utils/convert_utils_py.h"
 #include "utils/log_adapter.h"
+#include "base/core_ops.h"
 
 namespace mindspore {
 namespace compile {
@@ -46,7 +47,7 @@ class TestCompileSegmentRunner : public UT::Common {
 };
 
 TEST_F(TestCompileSegmentRunner, test_MsVmConvert1) {
-  FuncGraphPtr g = get_py_fun_("scalar_add");
+  FuncGraphPtr g = get_py_fun_(prim::kScalarAdd);
   // g was managed by local variable manager in get_py_fun_ and that manager will be freed as no reference.
   // so a new manager should be declared to make get_outputs() in segment_runner.cc happy.
   std::shared_ptr<mindspore::FuncGraphManager> manager = mindspore::Manage(g);
@@ -62,7 +63,7 @@ TEST_F(TestCompileSegmentRunner, test_MsVmConvert1) {
 }
 
 TEST_F(TestCompileSegmentRunner, test_MsVmConvert2) {
-  FuncGraphPtr g = get_py_fun_("scalar_mul");
+  FuncGraphPtr g = get_py_fun_(prim::kScalarMul);
   std::shared_ptr<mindspore::FuncGraphManager> manager = mindspore::Manage(g);
 
   BackendPtr b = std::make_shared<Backend>("vm");

tests/ut/python/optimizer/test_python_pass.py

@@ -19,6 +19,7 @@ import mindspore.nn as nn
 from mindspore import context
 from mindspore.common.tensor import Tensor
 from mindspore.ops import operations as P
+from mindspore.ops import _constants as Constants
 from mindspore.graph_utils.python_pass import registe_pass, unregiste_pass, set_renorm, gen_new_parameter,\
     cancel_new_parameter, set_reopt
 from mindspore.common.api import _generate_pip_args
@@ -296,12 +297,12 @@ def test_imm_target():
         pattern = Call(P.Softmax(), [x])
         imm = Imm(0)
         target_0 = Call("make_tuple", [pattern])
-        target = Call("tuple_getitem", [target_0, imm])
+        target = Call(Constants.kTupleGetItem, [target_0, imm])
         return pattern, target
     transformed_repr = get_func_graph(softmax_model, inputs).get_return().expanded_str(5)
     unregiste_pass(softmax_pass)
     assert "make_tuple" in transformed_repr
-    assert "tuple_getitem" in transformed_repr
+    assert Constants.kTupleGetItem in transformed_repr
     assert "Softmax" in transformed_repr
 
 def test_gen_new_parameter():

tests/ut/python/pynative_mode/ops/test_hypermap.py

@@ -18,6 +18,7 @@ import numpy as np
 from mindspore import Tensor
 from mindspore.common.api import ms_function
 from mindspore.ops import Primitive
+from mindspore.ops import _constants
 from mindspore.ops import composite as C
 from mindspore.ops import functional as F
 from mindspore.ops import operations as P
@@ -28,7 +29,7 @@ from ...ut_filter import non_graph_engine
 
 
 tensor_add = P.Add()
-scala_add = Primitive('scalar_add')
+scala_add = Primitive(_constants.kScalarAdd)
 add = C.MultitypeFuncGraph('add')
 
 

tests/ut/python/pynative_mode/ops/test_multitype.py

@@ -21,12 +21,13 @@ from mindspore.common.parameter import Parameter
 from mindspore.ops import Primitive
 from mindspore.ops import composite as C
 from mindspore.ops import operations as P
+from mindspore.ops import _constants
 from mindspore import dtype as mstype
 from ...ut_filter import non_graph_engine
 
 tensor_add = P.Add()
 op_add = P.AddN()
-scala_add = Primitive('scalar_add')
+scala_add = Primitive(_constants.kScalarAdd)
 add = C.MultitypeFuncGraph('add')