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