rename no_need_buffer_vars macro, test=develop (#23160)

paddle/fluid/operators/elementwise/elementwise_op.h

@@ -348,9 +348,9 @@ DECLARE_INPLACE_OP_INFERER(ElementwiseGradOpInplace,
                             framework::GradVarName("X")});
 DECLARE_INPLACE_OP_INFERER(ElementwiseDoubleGradOpInplace, {"DDX", "DDOut"});
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(ElementwiseGradNoBufVarsInference, "X",
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(ElementwiseGradNoBufVarsInference, "X",
                                     "Y");
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(ElementwiseDoubleGradNoBufVarsInference,
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(ElementwiseDoubleGradNoBufVarsInference,
                                     "Y", "DOut");
 
 }  // namespace operators

paddle/fluid/operators/expand_as_op.cc

@@ -113,7 +113,7 @@ class ExpandAsGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(ExpandAsGradNoNeedBufVarsInferer, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(ExpandAsGradNoNeedBufVarsInferer, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/expand_op.cc

@@ -214,7 +214,7 @@ class ExpandGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(ExpandGradNoNeedBufVarsInferer, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(ExpandGradNoNeedBufVarsInferer, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/fill_zeros_like_op.cc

@@ -73,7 +73,7 @@ class FillZerosLikeOp2Maker : public FillZerosLikeOpMaker {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(FillZerosLikeOp2NoNeedBufferVarsInference,
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(FillZerosLikeOp2NoNeedBufferVarsInference,
                                     "X");
 
 }  // namespace operators

paddle/fluid/operators/flatten_op.cc

@@ -246,8 +246,7 @@ DECLARE_INPLACE_OP_INFERER(FlattenOpInplaceInToOut, {"X", "Out"});
 DECLARE_INPLACE_OP_INFERER(FlattenGradInplaceinToOut,
                            {framework::GradVarName("Out"),
                             framework::GradVarName("X")});
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(FlattenGradNoNeedBufferVarsInference,
-                                      "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(FlattenGradNoNeedBufferVarsInference, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/gather_nd_op.cc

@@ -161,8 +161,7 @@ class GatherNdGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(GatherNdGradNoNeedBufferVarInference,
-                                      "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(GatherNdGradNoNeedBufferVarInference, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/gather_op.cc

@@ -123,7 +123,7 @@ class GatherGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(GatherGradNoNeedBufferVarInference, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(GatherGradNoNeedBufferVarInference, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/gru_op.cc

@@ -417,8 +417,8 @@ class GRUGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(GRUGradOpNoNeedBufferVarInference,
-                                      "Input", "Bias");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(GRUGradOpNoNeedBufferVarInference, "Input",
+                                    "Bias");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/gru_unit_op.cc

@@ -234,7 +234,7 @@ class GRUUnitGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(GRUUnitGradOpNoNeedBufferVarInference,
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(GRUUnitGradOpNoNeedBufferVarInference,
                                     "Bias");
 
 }  // namespace operators

paddle/fluid/operators/hierarchical_sigmoid_op.cc

@@ -287,7 +287,7 @@ class HierarchicalSigmoidGradOpGradVarTypeInference
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(
     HierarchicalSigmoidGradOpNoNeedBufferVarInference, "Bias");
 
 }  // namespace operators

paddle/fluid/operators/interpolate_op.cc

@@ -447,7 +447,7 @@ class InterpolateGradMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(InterpolateGradNoNeedBufferVarsInference,
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(InterpolateGradNoNeedBufferVarsInference,
                                     "X");
 
 }  // namespace operators

paddle/fluid/operators/kldiv_loss_op.cc

@@ -160,8 +160,7 @@ class KLDivLossOpGradMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(KLDivLossGradNoNeedBufferVarInference,
-                                      "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(KLDivLossGradNoNeedBufferVarInference, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/linear_chain_crf_op.cc

@@ -302,8 +302,8 @@ class LinearChainCRFGradMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
-    LinearChainCRFGradNoNeedBufferVarsInference, "Transition", "Emission");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(LinearChainCRFGradNoNeedBufferVarsInference,
+                                    "Transition", "Emission");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/lod_reset_op.cc

@@ -222,8 +222,7 @@ DECLARE_INPLACE_OP_INFERER(LoDResetGradInplaceInferer,
                            {framework::GradVarName("Out"),
                             framework::GradVarName("X")});
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(LoDResetGradNoNeedBufferVarInference,
-                                      "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(LoDResetGradNoNeedBufferVarInference, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/lookup_table_op.cc

@@ -131,7 +131,7 @@ or not. And the output only shares the LoD information with input Ids.
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(LookupTableGradOpNoBuffer, "W");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(LookupTableGradOpNoBuffer, "W");
 
 template <typename T>
 class LookupTableGradOpMaker : public framework::SingleGradOpMaker<T> {

paddle/fluid/operators/lookup_table_v2_op.cc

@@ -118,7 +118,7 @@ or not. And the output only shares the LoD information with input Ids.
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(LookupTableV2GradOpNoBuffer, "W");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(LookupTableV2GradOpNoBuffer, "W");
 
 template <typename T>
 class LookupTableV2GradOpMaker : public framework::SingleGradOpMaker<T> {

paddle/fluid/operators/mean_op.cc

@@ -84,7 +84,7 @@ class MeanGradMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(MeanGradNoNeedBufferVarsInference, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(MeanGradNoNeedBufferVarsInference, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/nce_op.cc

@@ -297,8 +297,7 @@ class NCEOpGradVarTypeInference : public framework::VarTypeInference {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(NCEGradOpNoNeedBufferVarInference,
-                                      "Bias");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(NCEGradOpNoNeedBufferVarInference, "Bias");
 
 }  // namespace operators
 }  // namespace paddle