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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. */ | ||
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#include "paddle/operators/beam_search_decode_op.h" | ||
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namespace paddle { | ||
namespace operators { | ||
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class BeamSearchDecodeOp : public framework::OperatorBase { | ||
public: | ||
BeamSearchDecodeOp(const std::string& type, | ||
const framework::VariableNameMap& inputs, | ||
const framework::VariableNameMap& outputs, | ||
const framework::AttributeMap& attrs) | ||
: OperatorBase(type, inputs, outputs, attrs) {} | ||
void Run(const framework::Scope& scope, | ||
const platform::DeviceContext& dev_ctx) const override { | ||
framework::ExecutionContext ctx(*this, scope, dev_ctx); | ||
const LoDTensorArray* ids = ctx.Input<LoDTensorArray>("Ids"); | ||
const LoDTensorArray* scores = ctx.Input<LoDTensorArray>("Scores"); | ||
const size_t step_num = ids->size(); | ||
PADDLE_ENFORCE_GT(step_num, 0UL, | ||
"beam search steps should be larger than 0"); | ||
const size_t source_num = ids->at(0).lod().at(0).size() - 1; | ||
PADDLE_ENFORCE_GT(source_num, 0UL, "source num should be larger than 0"); | ||
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for (size_t i = 0; i < step_num; ++i) { | ||
PADDLE_ENFORCE_EQ(ids->at(i).lod().size(), 2UL, | ||
"Level of LodTensor should be 2"); | ||
} | ||
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// prepare output | ||
LoDTensor* sentenceIds = ctx.Output<LoDTensor>("SentenceIds"); | ||
LoDTensor* sentenceScores = ctx.Output<LoDTensor>("SentenceScores"); | ||
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BeamSearchDecoder<float> beam_search_decoder; | ||
beam_search_decoder.PackAllSteps(*ids, *scores, sentenceIds, | ||
sentenceScores); | ||
} | ||
}; | ||
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class BeamSearchDecodeOpProtoMaker : public framework::OpProtoAndCheckerMaker { | ||
public: | ||
BeamSearchDecodeOpProtoMaker(framework::OpProto* proto, | ||
framework::OpAttrChecker* op_checker) | ||
: OpProtoAndCheckerMaker(proto, op_checker) { | ||
AddInput("Ids", | ||
"(LodTensorArray)" | ||
"score of the candidate words in each step"); | ||
AddInput("Scores", | ||
"(LodTensorArray)" | ||
"score of the candidate words in each step"); | ||
AddOutput("SentenceIds", | ||
"(LodTensor)" | ||
"All possible result sentences of word ids"); | ||
AddOutput("SentenceScores", | ||
"(LodTensor)" | ||
"All possible result sentences of word scores"); | ||
AddComment(R"DOC( | ||
Pack the result of Beam search op into SentenceIds and SentenceScores. | ||
)DOC"); | ||
} | ||
}; | ||
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class BeamSearchDecodeInferShape : public framework::InferShapeBase { | ||
public: | ||
void operator()(framework::InferShapeContext* context) const override { | ||
PADDLE_ENFORCE(context->HasInput("Ids"), | ||
"BeamSearchDecodeOp must has input Ids"); | ||
PADDLE_ENFORCE(context->HasInput("Scores"), | ||
"BeamSearchDecodeOp must has input Scores"); | ||
PADDLE_ENFORCE(context->HasOutput("SentenceIds"), | ||
"BeamSearchDecodeOp must has output SentenceIds"); | ||
PADDLE_ENFORCE(context->HasOutput("SentenceScores"), | ||
"BeamSearchDecodeOp must has output SentenceScores"); | ||
} | ||
}; | ||
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class BeamSearchDecodeInferVarType : public framework::VarTypeInference { | ||
public: | ||
void operator()(const framework::OpDescBind& op_desc, | ||
framework::BlockDescBind* block) const override { | ||
for (auto& o : op_desc.Output("SentenceIds")) { | ||
block->Var(o)->SetType(framework::VarDesc::LOD_TENSOR); | ||
} | ||
for (auto& o : op_desc.Output("SentenceScores")) { | ||
block->Var(o)->SetType(framework::VarDesc::LOD_TENSOR); | ||
} | ||
} | ||
}; | ||
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} // namespace operators | ||
} // namespace paddle | ||
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REGISTER_OPERATOR(beam_search_decode, paddle::operators::BeamSearchDecodeOp, | ||
paddle::operators::BeamSearchDecodeOpProtoMaker, | ||
paddle::operators::BeamSearchDecodeInferShape, | ||
paddle::operators::BeamSearchDecodeInferVarType, | ||
paddle::framework::EmptyGradOpMaker); |
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