caoying03
8 years ago
commit
3d12a610ca
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{
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global:
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paddle_*;
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local:
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*;
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};
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/operators/lookup_table_op.h"
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namespace paddle {
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namespace operators {
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class LookupTableOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(const framework::InferShapeContext &context) const override {
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auto table_t = context.Input<Tensor>("W");
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auto ids_t = context.Input<Tensor>("Ids");
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auto output_t = context.Output<Tensor>("Out");
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output_t->Resize({ids_t->dims()[0], table_t->dims()[1]});
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}
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};
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class LookupTableOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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LookupTableOpMaker(framework::OpProto *proto,
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framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("W",
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"An input represents embedding tensors,"
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" which is a learnable parameter.");
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AddInput("Ids",
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"An input with type int32 or int64"
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"contains the ids to be looked up in W.");
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AddOutput("Out", "The lookup results, which have the same type with W.");
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AddComment(
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"This operator is used to perform lookups on the parameter W,"
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"then concatenated into a dense tensor.");
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}
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};
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class LookupTableOpGrad : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(const framework::InferShapeContext &context) const override {
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auto table = context.Input<Tensor>("W");
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auto d_table = context.Output<Tensor>(framework::GradVarName("W"));
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d_table->Resize(table->dims());
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP(lookup_table, ops::LookupTableOp, ops::LookupTableOpMaker,
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lookup_table_grad, ops::LookupTableOpGrad);
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REGISTER_OP_CPU_KERNEL(lookup_table, ops::LookupTableKernel<float>);
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REGISTER_OP_CPU_KERNEL(lookup_table_grad, ops::LookupTableGradKernel<float>);
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