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51 lines
1.4 KiB
51 lines
1.4 KiB
9 years ago
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/* Copyright (c) 2016 Baidu, Inc. 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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#pragma once
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#include "Projection.h"
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namespace paddle {
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/**
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* Table projection takes index data input. It select rows from parameter
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* where row_id is in input_ids:
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* \f[
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* out.row[i] += table.row[ids[i]]
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* \f]
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* where \f$out\f$ is out, \f$table\f$ is parameter, \f$ids\f$ is input_ids,
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* and \f$i\f$ is row_id.
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*
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* The config file api is table_projection.
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*
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* @note If \f$ids[i] = -1\f$, it will be ignored.
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*/
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class TableProjection : public Projection {
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public:
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TableProjection(const ProjectionConfig& config, const ParameterPtr& parameter,
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bool useGpu);
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/**
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* If use sparse row matrix as parameter, prefetch feature ids in input label.
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*/
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virtual void prefetch(const Argument* in);
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virtual void forward();
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virtual void backward(const UpdateCallback& callback);
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protected:
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std::unique_ptr<Weight> table_;
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};
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} // namespace paddle
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