change TupleGetitem to TupleGetItem

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

@@ -307,7 +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() == prim::kTupleGetitem) {
+  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/step_auto_parallel.cc

@@ -598,7 +598,7 @@ 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() == prim::kTupleGetitem) ||
+      bool bool_result = (IsAutoParallelCareNode(prev_cnode)) || (prev_prim->name() == prim::kTupleGetItem) ||
                          (prev_prim->name() == DEPEND);
       while (bool_result) {
         if (IsAutoParallelCareNode(prev_cnode)) {
@@ -638,7 +638,7 @@ void ConstructCostGraphEdges(const std::vector<AnfNodePtr> &all_nodes) {
           edge_count++;
 
           break;
-        } else if (prev_prim->name() == prim::kTupleGetitem) {
+        } 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.";
@@ -671,7 +671,7 @@ 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() == prim::kTupleGetitem) ||
+        bool_result = (IsAutoParallelCareNode(prev_cnode)) || (prev_prim->name() == prim::kTupleGetItem) ||
                       (prev_prim->name() == DEPEND);
       }
     }
@@ -959,13 +959,13 @@ 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() == prim::kTupleGetitem || 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() == prim::kTupleGetitem || 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

@@ -181,7 +181,7 @@ 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() == prim::kTupleGetitem) {
+    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();
       }
@@ -279,7 +279,7 @@ 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() == prim::kTupleGetitem) {
+  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()));
@@ -473,7 +473,7 @@ 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() == prim::kTupleGetitem) ? node : insert_node);
+    insert_node_new = ((current_prim->name() == prim::kTupleGetItem) ? node : insert_node);
   } else {
     insert_node_new = insert_node;
   }
@@ -1964,7 +1964,7 @@ 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() == prim::kTupleGetitem) {
+  if (prim->name() == prim::kTupleGetItem) {
     auto tuple_index = GetTupleGetItemIndex(cnode);
     auto layout_ptr = FindPrevParallelCareNodeLayout(cnode->input(1), LongToSize(tuple_index));
     if (!layout_ptr) {
@@ -2081,7 +2081,7 @@ LossNodeInfo FindLossCNode(const FuncGraphPtr &func_graph) {
   }
 
   // return -> tuple_getitem -> loss
-  if (current_prim->name() == prim::kTupleGetitem) {
+  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);
@@ -2338,7 +2338,7 @@ 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, prim::kTupleGetitem)) {
+    if (!IsSomePrimitive(expect_tuple_getitem_cnode, prim::kTupleGetItem)) {
       continue;
     }
 

mindspore/ccsrc/transform/graph_ir/convert.cc

@@ -632,7 +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 == prim::kTupleGetitem) {
+  } else if (name == prim::kTupleGetItem) {
     TraceOutputFromTupleGetItem(anf_out);
   } else {
     // add outputs;
@@ -1015,7 +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>()) == prim::kTupleGetitem) {
+        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>()) {
@@ -1539,7 +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 == prim::kTupleGetitem) {
+  if (name == prim::kTupleGetItem) {
     ConvertTupleGetItem(node);
     return false;
   }

mindspore/core/base/core_ops.h

@@ -37,7 +37,7 @@ constexpr auto kScalarTrunc = "ScalarTrunc";
 constexpr auto kScalarFloor = "ScalarFloor";
 constexpr auto kScalarUadd = "ScalarUadd";
 constexpr auto kScalarUsub = "ScalarUsub";
-constexpr auto kTupleGetitem = "TupleGetitem";
+constexpr auto kTupleGetItem = "TupleGetitem";
 constexpr auto kMakeTuple = "MakeTuple";
 constexpr auto kReturn = "Return";
 constexpr auto kSGD = "SGD";
@@ -379,7 +379,7 @@ inline const PrimitivePtr kPrimCall = std::make_shared<Primitive>("call");
 
 inline const PrimitivePtr kPrimMakeTuple = std::make_shared<Primitive>(kMakeTuple);
 inline const PrimitivePtr kPrimMakeSlice = std::make_shared<Primitive>("make_slice");
-inline const PrimitivePtr kPrimTupleGetItem = std::make_shared<Primitive>(kTupleGetitem);
+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

@@ -22,7 +22,7 @@
 
 namespace mindspore {
 // clang-format off
-static const std::set<std::string> PARALLEL_BLACK_LIST_ = {prim::kTupleGetitem, "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", prim::kReturn, "env_getitem",

mindspore/ops/_constants.py

@@ -30,5 +30,5 @@ kScalarFloor = "ScalarFloor"
 kScalarUadd = "ScalarUadd"
 kScalarUsub = "ScalarUsub"
 
-kTupleGetitem = "TupleGetitem"
+kTupleGetItem = "TupleGetitem"
 kMakeTuple = "MakeTuple"

mindspore/ops/_grad/grad_implementations.py

@@ -141,7 +141,7 @@ def bprop_scalar_cast(x, t, out, dout):
     return F.scalar_cast(dout, F.typeof(x)), t
 
 
-@bprops.register(Constants.kTupleGetitem)
+@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

@@ -86,7 +86,7 @@ depend = P.Depend()
 identity = P.identity()
 
 tuple_setitem = Primitive('tuple_setitem')
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 list_getitem = Primitive('list_getitem')
 list_setitem = Primitive('list_setitem')
 dict_getitem = Primitive('dict_getitem')

tests/ut/cpp/operator/ops_test.cc

@@ -189,7 +189,7 @@ TEST_F(TestOps, MakeRecordTest) {
 }
 
 TEST_F(TestOps, TupleGetItemTest) {
-  auto prim = std::make_shared<Primitive>(kTupleGetitem);
+  auto prim = std::make_shared<Primitive>(kTupleGetItem);
   ASSERT_EQ(prim->name(), kPrimTupleGetItem->name());
 }
 

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

@@ -29,7 +29,7 @@ from mindspore.ops.operations import _grad_ops as G
 
 scalar_add = Primitive(Constants.kScalarAdd)
 scalar_mul = Primitive(Constants.kScalarMul)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 switch = Primitive('switch')
 
 
@@ -923,7 +923,7 @@ def test_convert_switch_ops(tag):
     merge = Primitive('Merge')
     add = Primitive(Constants.kScalarAdd)
     neg = Primitive('Neg')
-    tuple_getitem = Primitive(Constants.kTupleGetitem)
+    tuple_getitem = Primitive(Constants.kTupleGetItem)
     make_tuple = Primitive(Constants.kMakeTuple)
 
     @fns

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

@@ -25,7 +25,7 @@ Sqrt = P.Sqrt()
 Square = P.Square()
 Assign = P.Assign()
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -26,7 +26,7 @@ real_div = P.RealDiv()
 sub = P.Sub()
 Assign = P.Assign()
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -17,7 +17,7 @@ from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -17,7 +17,7 @@ from mindspore.ops.operations import _grad_ops as G
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -21,7 +21,7 @@ batch_norm_grad = G.BatchNormGrad(is_training=True)
 bn_training_update_grad = Primitive('BNTrainingUpdateGrad')
 bn_training_reduce_grad = Primitive('BNTrainingReduceGrad')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -20,7 +20,7 @@ from mindspore.ops import _constants as Constants
 batch_norm = P.BatchNorm(is_training=False)
 bn_infer = Primitive('BNInfer')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -20,7 +20,7 @@ from mindspore.ops import _constants as Constants
 batch_norm_grad = G.BatchNormGrad(is_training=False)
 bn_infer_grad = Primitive('BNInferGrad')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -18,7 +18,7 @@ from mindspore.ops.operations import _grad_ops as G
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -18,7 +18,7 @@ from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -22,7 +22,7 @@ sqrt = P.Sqrt()
 greater = P.Greater()
 clip_by_norm_no_div_square_sum = Primitive('ClipByNormNoDivSum')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -20,7 +20,7 @@ maximum = P.Maximum()
 minimum = P.Minimum()
 clip_by_value = Primitive('ClipByValue')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -21,7 +21,7 @@ mul = P.Mul()
 reduce_sum = P.ReduceSum()
 confusion_mul_grad = Primitive('ConfusionMulGrad')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 axis = 1
 
 

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

@@ -21,7 +21,7 @@ reduce_sum = P.ReduceSum(keep_dims=True)
 sub = P.Sub()
 confusion_softmax_grad = Primitive('ConfusionSoftmaxGrad')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 axis = 2
 
 

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

@@ -17,7 +17,7 @@ from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_get_item = Primitive(Constants.kTupleGetitem)
+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.TensorAdd()
 

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

@@ -21,7 +21,7 @@ relu_grad = Primitive('ReluGrad')
 relu_v2 = Primitive('ReLUV2')
 relu_grad_v2 = Primitive('ReluGradV2')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -23,7 +23,7 @@ AssignSub = P.AssignSub()
 Mul = P.Mul()
 Sub = P.Sub()
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -17,7 +17,7 @@ from mindspore.ops import Primitive
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -16,7 +16,7 @@ from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 depend = P.Depend()
 addn = P.AddN()
 add = P.TensorAdd()

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

@@ -21,7 +21,7 @@ from mindspore.ops import _constants as Constants
 get_next = P.GetNext([ms.float32, ms.int32], [[32, 64], [32]], 2, "")
 memcpy_async = Primitive('memcpy_async')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -21,7 +21,7 @@ all_reduce = P.AllReduce()
 broadcast = P.Broadcast(1)
 memcpy_async = Primitive('memcpy_async')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -16,7 +16,7 @@ from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.TensorAdd()
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 make_tuple = Primitive(Constants.kMakeTuple)

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

@@ -19,7 +19,7 @@ from mindspore.ops import _constants as Constants
 
 # pylint: disable=unused-variable
 
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.TensorAdd()
 allreduce = P.AllReduce()
 allreduce.add_prim_attr('fusion', 1)

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

@@ -22,7 +22,7 @@ RealDiv = P.RealDiv()
 Rsqrt = P.Rsqrt()
 Sqrt = P.Sqrt()
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -22,7 +22,7 @@ RealDiv = P.RealDiv()
 Rsqrt = P.Rsqrt()
 Sqrt = P.Sqrt()
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -22,7 +22,7 @@ real_div = P.RealDiv()
 rsqrt = P.Rsqrt()
 sqrt = P.Sqrt()
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 LambNextMVWithDecayV1 = Primitive('LambNextMVWithDecayV1')
 
 

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

@@ -21,7 +21,7 @@ Mul = P.Mul()
 Sqrt = P.Sqrt()
 Square = P.Square()
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 LambNextRight = Primitive('LambNextRight')
 
 

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

@@ -25,7 +25,7 @@ mul = P.Mul()
 sub = P.Sub()
 lamb_update_with_lr = Primitive('LambUpdateWithLR')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -22,7 +22,7 @@ RealDiv = P.RealDiv()
 Select = P.Select()
 Greater = P.Greater()
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 LambUpdateWithLrV2 = Primitive('LambUpdateWithLrV2')
 
 

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

@@ -20,7 +20,7 @@ lars_v2 = Primitive('LarsV2')
 square_sum_all = Primitive('SquareSumAll')
 lars_v2_update = Primitive('LarsV2Update')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -19,7 +19,7 @@ from mindspore.ops import _constants as Constants
 Add = P.TensorAdd()
 Cast = P.Cast()
 LayerNormBetaGammaBackprop = Primitive('LayerNormBetaGammaBackprop')
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -18,7 +18,7 @@ from mindspore.ops.operations import _grad_ops as G
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -16,7 +16,7 @@ from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 depend = P.Depend()
 addn = P.AddN()
 add = P.TensorAdd()

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

@@ -22,7 +22,7 @@ Mul = P.Mul()
 ApplyMomentum = P.ApplyMomentum()
 FusedMulApplyMomentum = Primitive('FusedMulApplyMomentum')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 constant = Tensor(1.0, mstype.float32)
 
 

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

@@ -20,7 +20,7 @@ add = P.TensorAdd()
 mul = P.Mul()
 fused_mul_add = Primitive('FusedMulAdd')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -22,7 +22,7 @@ addn = P.AddN()
 mul = P.Mul()
 fused_mul_addn = Primitive('FusedMulAddN')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -18,7 +18,7 @@ from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -16,7 +16,7 @@ from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.TensorAdd()
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 make_tuple = Primitive(Constants.kMakeTuple)

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

@@ -16,7 +16,7 @@ from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -21,7 +21,7 @@ ReduceSum = P.ReduceSum(keep_dims=True)
 Sub = P.Sub()
 SoftmaxGradExt = Primitive('SoftmaxGradExt')
 MakeTuple = Primitive(Constants.kMakeTuple)
-TupleGetItem = Primitive(Constants.kTupleGetitem)
+TupleGetItem = Primitive(Constants.kTupleGetItem)
 axes = (2, 3)
 
 

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

@@ -19,7 +19,7 @@ from mindspore.ops import _constants as Constants
 
 split = P.Split(0, 8)
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 splitv = Primitive('SplitV')
 
 

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

@@ -17,7 +17,7 @@ from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -20,7 +20,7 @@ tensor_scatter_update = P.TensorScatterUpdate()
 tensor_move = Primitive('TensorMove')
 scatter_nd_update = Primitive('ScatterNdUpdate')
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -18,7 +18,7 @@ from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
 TopK = P.TopK()
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 
 
 class FnDict:

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

@@ -16,7 +16,7 @@ from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.TensorAdd()
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 make_tuple = Primitive(Constants.kMakeTuple)

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

@@ -16,7 +16,7 @@ from mindspore.ops import Primitive
 from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 add = P.TensorAdd()
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 make_tuple = Primitive(Constants.kMakeTuple)

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

@@ -17,7 +17,7 @@ from mindspore.ops import operations as P
 from mindspore.ops import _constants as Constants
 
 make_tuple = Primitive(Constants.kMakeTuple)
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+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

@@ -21,7 +21,7 @@ addn = P.AddN()
 add = P.TensorAdd()
 reshape = P.Reshape()
 cast = P.Cast()
-tuple_getitem = Primitive(Constants.kTupleGetitem)
+tuple_getitem = Primitive(Constants.kTupleGetItem)
 max_pool = P.MaxPoolWithArgmax(pad_mode="same", kernel_size=3, strides=2)
 
 

tests/ut/python/optimizer/test_python_pass.py

@@ -297,12 +297,12 @@ def test_imm_target():
         pattern = Call(P.Softmax(), [x])
         imm = Imm(0)
         target_0 = Call(Constants.kMakeTuple, [pattern])
-        target = Call(Constants.kTupleGetitem, [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 Constants.kMakeTuple in transformed_repr
-    assert Constants.kTupleGetitem in transformed_repr
+    assert Constants.kTupleGetItem in transformed_repr
     assert "Softmax" in transformed_repr
 
 def test_gen_new_parameter():