rename no_need_buffer_vars_macro, test=develop (#23159)

paddle/fluid/framework/no_need_buffer_vars_inference.h

@@ -96,6 +96,9 @@ class NoNeedBufferVarsInference {
     }                                                                 \
   }
 
+#define DECLARE_NO_NEED_BUFFER_VARS_INFERER \
+  DECLARE_NO_NEED_BUFFER_VARS_INFERENCE
+
 class InferNoNeedBufferVarsFN {
  public:
   inline const std::unordered_set<std::string> &operator()(

paddle/fluid/framework/no_need_buffer_vars_inference_test.cc

@@ -48,7 +48,7 @@ TEST(test_no_need_buffer_vars_inference, test_dygraph) {
   ASSERT_TRUE(boost::get<bool>(ctx.GetAttr("is_test")));
 }
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(TestNoNeedBufferVarsInferer, "X1", "X2");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(TestNoNeedBufferVarsInferer, "X1", "X2");
 
 TEST(test_no_need_buffer_vars_inference, test_nullptr_comparation) {
   InferNoNeedBufferVarsFN infer_fn;

paddle/fluid/operators/argsort_op.cc

@@ -118,7 +118,7 @@ class ArgsortGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(ArgsortGradNoNeedBufferVarInference, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(ArgsortGradNoNeedBufferVarInference, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/batch_size_like.h

@@ -74,8 +74,8 @@ class BatchSizeLikeOpMaker : public framework::OpProtoAndCheckerMaker {
   virtual void Apply() = 0;
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(BatchSizeLikeNoNeedBufferVarsInference,
-                                      "Input");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(BatchSizeLikeNoNeedBufferVarsInference,
+                                    "Input");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/center_loss_op.cc

@@ -140,7 +140,7 @@ class CenterLossOpGradMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(CenterLossGradNoNeedBufVarsInferer, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(CenterLossGradNoNeedBufVarsInferer, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/concat_op.cc

@@ -176,8 +176,7 @@ class ConcatOpGrad : public framework::OperatorWithKernel {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(ConcatOpGradNoNeedBufferVarInference,
-                                      "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(ConcatOpGradNoNeedBufferVarInference, "X");
 
 template <typename T>
 class ConcatGradOpMaker : public framework::SingleGradOpMaker<T> {

paddle/fluid/operators/crop_op.cc

@@ -199,7 +199,7 @@ class CropGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(GropNoNeedBufferVarInference, "Y");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(GropNoNeedBufferVarInference, "Y");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/cvm_op.cc

@@ -141,8 +141,8 @@ class CVMGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(CVMNoNeedBufferVarInference, "CVM");
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(CVMGradNoNeedBufferVarInference, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(CVMNoNeedBufferVarInference, "CVM");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(CVMGradNoNeedBufferVarInference, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/reduce_ops/reduce_mean_op.cc

@@ -82,8 +82,8 @@ class ReduceMeanDoubleGradOpBaseMaker : public imperative::GradOpBaseMakerBase {
     }
   }
 };
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(ReduceMeanGradNoNeedBufferVarInference,
-                                      "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(ReduceMeanGradNoNeedBufferVarInference,
+                                    "X");
 }  // namespace operators
 }  // namespace paddle
 

paddle/fluid/operators/reduce_ops/reduce_sum_op.cc

@@ -37,8 +37,7 @@ class ReduceSumOpGradMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(ReduceSumGradNoNeedBufferVarInference,
-                                      "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(ReduceSumGradNoNeedBufferVarInference, "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/sequence_ops/sequence_concat_op.cc

@@ -110,8 +110,8 @@ class SeqConcatGradOp : public framework::OperatorWithKernel {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(SeqConcatGradNoNeedBufferVarsInference,
-                                      "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(SeqConcatGradNoNeedBufferVarsInference,
+                                    "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/sequence_ops/sequence_expand_as_op.cc

@@ -175,9 +175,9 @@ class SequenceExpandAsOpGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
-    SequenceExpandAsOpNoNeedBufferVarsInference, "Y");
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(SequenceExpandAsOpNoNeedBufferVarsInference,
+                                    "Y");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(
     SequenceExpandAsGradOpNoNeedBufferVarsInference, "X", "Y");
 
 }  // namespace operators

paddle/fluid/operators/sequence_ops/sequence_expand_op.cc

@@ -230,9 +230,9 @@ class SequenceExpandOpGradMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(SequenceExpandOpNoNeedBufferVarsInference,
-                                      "Y");
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(SequenceExpandOpNoNeedBufferVarsInference,
+                                    "Y");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(
     SequenceExpandGradOpNoNeedBufferVarsInference, "X", "Y");
 
 }  // namespace operators

paddle/fluid/operators/sequence_ops/sequence_pad_op.cc

@@ -220,8 +220,8 @@ class SequencePadGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
-    SequencePadGradOpNoNeedBufferVarsInference, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(SequencePadGradOpNoNeedBufferVarsInference,
+                                    "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/sequence_ops/sequence_pool_op.cc

@@ -157,8 +157,8 @@ class SequencePoolGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
-    SequencePoolGradOpNoNeedBufferVarsInference, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(SequencePoolGradOpNoNeedBufferVarsInference,
+                                    "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/sequence_ops/sequence_scatter_op.cc

@@ -157,7 +157,7 @@ class SequenceScatterGradMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(
     SequenceScatterGradNoNeedBufferVarsInference, "Updates");
 
 }  // namespace operators

paddle/fluid/operators/sequence_ops/sequence_slice_op.cc

@@ -133,8 +133,8 @@ class SequenceSliceGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
-    SequenceSliceGradNoNeedBufferVarsInference, "X");
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(SequenceSliceGradNoNeedBufferVarsInference,
+                                    "X");
 
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/sequence_ops/sequence_softmax_op.cc

@@ -151,7 +151,7 @@ class SequenceSoftmaxGradOp : public framework::OperatorWithKernel {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(
     SequenceSoftmaxGradOpNoNeedBufferVarsInferer, "X");
 
 }  // namespace operators

paddle/fluid/operators/sequence_ops/sequence_unpad_op.cc

@@ -151,7 +151,7 @@ class SequenceUnpadGradOpMaker : public framework::SingleGradOpMaker<T> {
   }
 };
 
-DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(
+DECLARE_NO_NEED_BUFFER_VARS_INFERER(
     SequenceUnpadGradOpNoNeedBufferVarsInference, "X");
 
 }  // namespace operators