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89 lines
2.6 KiB
89 lines
2.6 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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 <vector>
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/tensor.h"
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namespace paddle {
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namespace framework {
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class SelectedRows {
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public:
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SelectedRows(const std::vector<int64_t>& rows, const int64_t& height)
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: rows_(rows), height_(height) {
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value_.reset(new Tensor());
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}
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SelectedRows() {
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height_ = 0;
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value_.reset(new Tensor());
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}
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platform::Place place() const { return value_->place(); }
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const Tensor& value() const { return *value_; }
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Tensor* mutable_value() { return value_.get(); }
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int64_t height() const { return height_; }
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void set_height(int64_t height) { height_ = height; }
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const Vector<int64_t>& rows() const { return rows_; }
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Vector<int64_t>* mutable_rows() { return &rows_; }
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void set_rows(const Vector<int64_t>& rows) { rows_ = rows; }
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/**
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* get the index of id in rows
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*/
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int64_t index(int64_t id) const {
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auto it = std::find(rows_.begin(), rows_.end(), id);
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PADDLE_ENFORCE(it != rows_.end(), "id should be in rows");
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return static_cast<int64_t>(std::distance(rows_.begin(), it));
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}
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DDim GetCompleteDims() const {
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std::vector<int64_t> dims = vectorize(value_->dims());
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dims[0] = height_;
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return make_ddim(dims);
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}
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private:
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// Notice: rows can be duplicate. We can have {0, 4, 7, 0, 5, 7, 9} here.
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// SelectedRows are simply concated when adding together. Until a
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// SelectedRows add a Tensor, will the duplicate rows be handled.
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Vector<int64_t> rows_;
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std::unique_ptr<Tensor> value_{nullptr};
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int64_t height_;
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};
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/*
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* Serialize/Desiralize SelectedRows to std::ostream
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* You can pass ofstream or ostringstream to serilize to file
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* or to a in memory string. GPU tensor will be copied to CPU.
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*/
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void SerializeToStream(std::ostream& os, const SelectedRows& selected_rows,
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const platform::DeviceContext& dev_ctx);
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void DeserializeFromStream(std::istream& is, SelectedRows* selected_rows,
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const platform::DeviceContext& dev_ctx);
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} // namespace framework
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} // namespace paddle
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