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79 lines
2.5 KiB
79 lines
2.5 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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#include "paddle/framework/lod_tensor.h"
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#include <glog/logging.h>
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namespace paddle {
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namespace framework {
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LODTensor::LOD LODTensor::LOD::SliceLevels(size_t level_begin,
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size_t level_end) const {
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LOD new_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(at(i));
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}
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return new_lod;
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}
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LODTensor::LOD LODTensor::LOD::SliceInLevel(size_t level, size_t elem_begin,
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size_t elem_end) const {
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// slice the lod.
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LOD new_lod;
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new_lod.reserve(size() - level);
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auto start = this->at(level)[elem_begin];
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auto end = this->at(level)[elem_end];
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for (auto it = this->begin() + level; it != this->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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// 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_EQ(new_lod.back().front(), 0, "error in slice LOD");
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}
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PADDLE_ENFORCE_LE(new_lod.size(), this->size());
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return new_lod;
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}
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bool operator==(const LODTensor::LOD& a, const LODTensor::LOD& b) {
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if (a.size() != b.size()) {
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return false;
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}
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for (size_t i = 0; i < a.size(); i++) {
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const auto& a_level = a[i];
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const auto& b_level = b[i];
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if (a_level.size() != b_level.size()) {
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return false;
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}
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for (size_t j = 0; j < a_level.size(); j++) {
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if (a_level[j] != b_level[j]) {
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return false;
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}
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}
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}
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return true;
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}
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} // namespace framework
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} // namespace paddle
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