caoying03
8 years ago
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1e828dc1de
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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/framework/lod_tensor.h"
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#include <memory>
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namespace paddle {
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namespace framework {
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namespace details {
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using LOD = LODTensor::LOD;
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std::shared_ptr<LOD> SliceLOD(const LOD &lod, size_t level_begin,
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size_t level_end) {
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auto new_lod = std::make_shared<LOD>();
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new_lod->reserve(level_end - level_begin);
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for (size_t i = level_begin; i < level_end; i++) {
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new_lod->emplace_back(lod[i]);
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}
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return new_lod;
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}
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std::shared_ptr<LOD> SliceLOD(const LOD &lod, size_t level, size_t elem_begin,
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size_t elem_end, bool tensor_shared) {
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// slice the lod.
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auto new_lod = std::make_shared<LOD>();
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new_lod->reserve(lod.size() - level);
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auto start = lod.at(level)[elem_begin];
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auto end = lod.at(level)[elem_end];
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for (auto it = lod.begin() + level; it != lod.end(); it++) {
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auto it_begin = std::find(it->begin(), it->end(), start);
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auto it_end = std::find(it_begin, it->end(), end);
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PADDLE_ENFORCE(it_begin != it->end(), "error in parsing lod info");
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PADDLE_ENFORCE(it_end != it->end(), "error in parsing lod info");
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new_lod->emplace_back(it_begin, it_end + 1);
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if (!tensor_shared) {
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// reset offset if tensor is copyed and sliced.
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std::transform(new_lod->back().begin(), new_lod->back().end(),
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new_lod->back().begin(),
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[start](int v) { return v - start; });
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PADDLE_ENFORCE(new_lod->back().front() == 0, "error in slice LOD");
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}
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}
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return new_lod;
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}
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} // namespace details
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} // namespace framework
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} // namespace paddle
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@ -1,46 +0,0 @@
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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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#pragma once
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#include <memory>
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namespace paddle {
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namespace framework {
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namespace details {
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/*
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* Slice levels from LOD.
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*
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* @lod: LOD to slice.
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* @level_begin: level to begin slice.
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* @level_end: level to end slice.
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*/
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std::shared_ptr<LODTensor::LOD> SliceLOD(const LODTensor::LOD &lod,
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size_t level_begin, size_t level_end);
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/*
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* Slice elements from a level of LOD.
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*
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* @lod: LOD to slice.
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* @level: which level to slice.
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* @elem_begin: element's index to begin slice.
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* @elem_end: element's index to end slice.
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*/
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std::shared_ptr<LODTensor::LOD> SliceLOD(const LODTensor::LOD &lod,
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size_t level, size_t elem_begin,
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size_t elem_end, bool tensor_shared);
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} // namespace details
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} // namespace framework
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} // namespace paddle
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@ -1,60 +0,0 @@
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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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#pragma once
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#include "paddle/framework/details/lod_tensor.h"
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namespace paddle {
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namespace framework {
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template <typename T>
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LODTensor LODTensor::SliceCopied(size_t level_begin, size_t level_end,
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const platform::Place &dst_place) const {
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PADDLE_ENFORCE(HasLOD(), "has no LOD info, can't be sliced.");
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auto new_lod = details::SliceLOD(*lod_start_pos_, level_begin, level_end);
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auto new_tensor = std::make_shared<Tensor>();
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new_tensor->CopyFrom<T>(*tensor_, dst_place);
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return LODTensor(new_tensor, new_lod);
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}
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template <typename T>
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LODTensor LODTensor::SliceCopied(size_t level, size_t elem_begin,
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size_t elem_end,
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const platform::Place &dst_place) const {
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PADDLE_ENFORCE(HasLOD(), "has no LOD info, can't be sliced.");
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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_begin < NumElements(level),
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"element begin [%d] out of range [%d]", elem_begin,
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NumElements(level));
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PADDLE_ENFORCE(elem_end < NumElements(level) + 1,
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"element end [%d] out of range [%d]", elem_end,
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NumElements(level));
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auto new_lod = details::SliceLOD(*lod_start_pos_, level, elem_begin, elem_end,
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false /*tensor_shared*/);
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auto start_idx = new_lod->front().front();
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auto end_idx = new_lod->front().back() - 1 /*the next element's start*/;
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auto sliced_tensor = tensor_->Slice<T>(start_idx, end_idx);
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auto new_tensor = std::make_shared<Tensor>();
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new_tensor->CopyFrom<T>(sliced_tensor, dst_place);
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return LODTensor(new_tensor, new_lod);
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}
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} // namespace framework
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} // namespace paddle
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