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107 lines
3.0 KiB
107 lines
3.0 KiB
/* 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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#pragma once
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#include <memory>
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#ifndef PADDLE_ONLY_CPU
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#include <thrust/device_vector.h>
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#include <thrust/host_vector.h>
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#include <thrust/system/cuda/experimental/pinned_allocator.h>
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#endif
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#include <glog/logging.h>
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#include "paddle/framework/ddim.h"
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#include "paddle/framework/tensor.h"
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#include "paddle/platform/enforce.h"
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namespace paddle {
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namespace framework {
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#ifdef PADDLE_ONLY_CPU
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template <typename T>
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using Vector = std::vector<T>;
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#else
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template <typename T>
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using Vector = thrust::host_vector<
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T, thrust::system::cuda::experimental::pinned_allocator<T>>;
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#endif
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using LoD = std::vector<Vector<size_t>>;
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LoD SliceLevels(const LoD& in, size_t level_begin, size_t level_end);
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LoD SliceInLevel(const LoD& in, size_t level, size_t elem_begin,
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size_t elem_end);
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bool operator==(const LoD& a, const LoD& b);
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/*
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* LoDTensor (Level of details Tensor)
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* see https://en.wikipedia.org/wiki/Level_of_details for reference.
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*/
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class LoDTensor : public Tensor {
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public:
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LoDTensor() {}
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explicit LoDTensor(const LoD& lod) : lod_(lod) {}
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void set_lod(const LoD& lod) { lod_ = lod; }
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LoD lod() const { return lod_; }
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/*
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* Get a element from LoD.
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*/
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size_t lod_element(size_t level, size_t elem) const {
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PADDLE_ENFORCE(level < NumLevels(), "level [%d] out of range [%d]", level,
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NumLevels());
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PADDLE_ENFORCE(elem < NumElements(level),
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"element begin [%d] out of range [%d]", elem,
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NumElements(level));
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return (lod_)[level][elem];
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}
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/*
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* Number of LoDTensor's levels, each level has units of data, for example,
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* in the sentence's view, article, paragraph, sentence are 3 levels.
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*/
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size_t NumLevels() const { return lod_.size(); }
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/*
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* Number of elements in a level.
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*/
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size_t NumElements(size_t level = 0) const {
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PADDLE_ENFORCE(level < NumLevels(), "level [%d] out of range [%d]", level,
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NumLevels());
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// the last offset is the end of last element
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return (lod_)[level].size() - 1;
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}
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/*
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* Slice of levels[level_begin:level_end]
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*/
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void SliceLevels(size_t level_begin, size_t level_end);
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/*
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* Slice of elements of a level, [elem_begin: elem_end]
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* @note: low performance in slice lod_.
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*/
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void SliceInLevel(size_t level, size_t elem_begin, size_t elem_end);
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private:
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LoD lod_;
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};
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} // namespace framework
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} // namespace paddle
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