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rename no_need_buffer_vars_macro, test=develop (#23159)

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revert-23830-2.0-beta
Zeng Jinle 6 years ago committed by GitHub
parent bae5930ba1
commit b8886bf122
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GPG Key ID: 4AEE18F83AFDEB23
19 changed files with 32 additions and 31 deletions
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3
paddle/fluid/framework/no_need_buffer_vars_inference.h
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@ -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()(

2
paddle/fluid/framework/no_need_buffer_vars_inference_test.cc
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@ -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;

2
paddle/fluid/operators/argsort_op.cc
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@ -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

4
paddle/fluid/operators/batch_size_like.h
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@ -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

2
paddle/fluid/operators/center_loss_op.cc
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@ -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

3
paddle/fluid/operators/concat_op.cc
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@ -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> {

2
paddle/fluid/operators/crop_op.cc
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@ -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

4
paddle/fluid/operators/cvm_op.cc
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@ -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

4
paddle/fluid/operators/reduce_ops/reduce_mean_op.cc
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@ -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

3
paddle/fluid/operators/reduce_ops/reduce_sum_op.cc
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@ -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

4
paddle/fluid/operators/sequence_ops/sequence_concat_op.cc
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@ -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

6
paddle/fluid/operators/sequence_ops/sequence_expand_as_op.cc
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@ -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

6
paddle/fluid/operators/sequence_ops/sequence_expand_op.cc
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@ -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

4
paddle/fluid/operators/sequence_ops/sequence_pad_op.cc
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@ -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

4
paddle/fluid/operators/sequence_ops/sequence_pool_op.cc
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@ -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

2
paddle/fluid/operators/sequence_ops/sequence_scatter_op.cc
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@ -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

4
paddle/fluid/operators/sequence_ops/sequence_slice_op.cc
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@ -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

2
paddle/fluid/operators/sequence_ops/sequence_softmax_op.cc
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@ -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

2
paddle/fluid/operators/sequence_ops/sequence_unpad_op.cc
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@ -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

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