/* Copyright (c) 2018 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. */

#include "paddle/framework/lod_tensor.h"

#include <glog/logging.h>
#include <gtest/gtest.h>
#include <algorithm>
#include <memory>
#include <vector>

namespace paddle {
namespace framework {

TEST(LodExpand, test) {
  LoD lod{{0, 2}};
  LoDTensor tensor;
  tensor.set_lod(lod);
  tensor.Resize({2, 1});
  tensor.mutable_data<float>(platform::CPUPlace());
  tensor.data<float>()[0] = 0;
  tensor.data<float>()[1] = 1;

  LoD target;
  target.emplace_back(std::vector<size_t>{0, 3, 5});
  auto new_tensor = LodExpand<float>(tensor, target, 0UL, platform::CPUPlace());
  std::vector<int> result{{0, 0, 0, 1, 1}};
  for (size_t i = 0; i < 5; i++) {
    ASSERT_EQ(new_tensor.data<float>()[i], result[i]);
  }
}

TEST(LoD, GetFineGrainedLoDLength) {
  LoD lod;
  lod.push_back(std::vector<size_t>({0, 2, 4, 5}));
  lod.push_back(std::vector<size_t>({0, 1, 6, 8, 10, 11}));
  lod.push_back(
      std::vector<size_t>({0, 2, 5, 7, 10, 12, 15, 17, 20, 24, 26, 29}));

  auto lod_and_offset =
      paddle::framework::GetSubLoDAndAbsoluteOffset(lod, 1, 2, 0);
  LoD lod_length = lod_and_offset.first;
  size_t start_offset = lod_and_offset.second.first;
  size_t end_offset = lod_and_offset.second.second;

  LoD expected;
  expected.push_back(std::vector<size_t>{2});
  expected.push_back(std::vector<size_t>{2, 2});
  expected.push_back(std::vector<size_t>{2, 3, 4, 2});
  EXPECT_EQ(lod_length, expected);
  EXPECT_EQ(start_offset, 15UL);
  EXPECT_EQ(end_offset, 26UL);
}

TEST(LoD, AppendLoD) {
  LoD lod_lens;
  lod_lens.push_back(std::vector<size_t>({2}));
  lod_lens.push_back(std::vector<size_t>({2, 2}));
  lod_lens.push_back(std::vector<size_t>({2, 3, 4, 2}));

  LoD origin;
  origin.push_back(std::vector<size_t>({0, 2}));
  origin.push_back(std::vector<size_t>({0, 1, 6}));
  origin.push_back(std::vector<size_t>({0, 2, 5, 7, 10, 12, 15}));

  paddle::framework::AppendLoD(&origin, lod_lens);

  LoD expected;
  expected.push_back(std::vector<size_t>({0, 2, 4}));
  expected.push_back(std::vector<size_t>({0, 1, 6, 8, 10}));
  expected.push_back(
      std::vector<size_t>({0, 2, 5, 7, 10, 12, 15, 17, 20, 24, 26}));
  EXPECT_EQ(origin, expected);
}

TEST(LoD, ToAbsOffset) {
  LoD relative_lod;
  relative_lod.push_back(std::vector<size_t>({0, 2}));
  relative_lod.push_back(std::vector<size_t>({0, 1, 3}));
  relative_lod.push_back(std::vector<size_t>({0, 2, 4, 5}));

  LoD abs_lod = paddle::framework::ToAbsOffset(relative_lod);

  LoD expected;
  expected.push_back(std::vector<size_t>({0, 5}));
  expected.push_back(std::vector<size_t>({0, 2, 5}));
  expected.push_back(std::vector<size_t>({0, 2, 4, 5}));

  EXPECT_EQ(abs_lod, expected);
}

TEST(LoD, SplitLoDTensor) {
  LoD lod;
  lod.push_back(std::vector<size_t>({0, 2, 4, 5, 6}));
  lod.push_back(std::vector<size_t>({0, 1, 6, 8, 13, 15, 20}));

  platform::CPUPlace place;
  LoDTensor lod_tensor;
  lod_tensor.Resize({20, 1});
  float* dst_ptr = lod_tensor.mutable_data<float>(place);
  for (int i = 0; i < lod_tensor.numel(); ++i) {
    dst_ptr[i] = i;
  }
  lod_tensor.set_lod(lod);

  std::vector<platform::Place> places{platform::CPUPlace(),
                                      platform::CPUPlace()};
  LoD lod0;
  lod0.push_back(std::vector<size_t>({0, 2, 4}));
  lod0.push_back(std::vector<size_t>({0, 1, 6, 8, 13}));
  LoD lod1;
  lod1.push_back(std::vector<size_t>({0, 1, 2}));
  lod1.push_back(std::vector<size_t>({0, 2, 7}));

  auto lods = lod_tensor.SplitLoDTensor(places);
  EXPECT_EQ(lods[0].lod(), lod0);
  EXPECT_EQ(lods[1].lod(), lod1);
}

TEST(LoD, MergeLoDTensor) {
  LoD lod;
  lod.push_back(std::vector<size_t>({0, 2, 4, 5, 6}));
  lod.push_back(std::vector<size_t>({0, 1, 6, 8, 13, 15, 20}));

  platform::CPUPlace place;

  LoDTensor lod_tensor0;
  LoD lod0;
  lod0.push_back(std::vector<size_t>({0, 2, 4}));
  lod0.push_back(std::vector<size_t>({0, 1, 6, 8, 13}));
  lod_tensor0.set_lod(lod0);

  lod_tensor0.Resize({13, 1});
  float* dst_ptr = lod_tensor0.mutable_data<float>(place);
  for (int i = 0; i < lod_tensor0.numel(); ++i) {
    dst_ptr[i] = i;
  }

  LoDTensor lod_tensor1;
  LoD lod1;
  lod1.push_back(std::vector<size_t>({0, 1, 2}));
  lod1.push_back(std::vector<size_t>({0, 2, 7}));
  lod_tensor1.set_lod(lod1);
  lod_tensor1.Resize({7, 1});
  dst_ptr = lod_tensor1.mutable_data<float>(place);
  for (int i = 0; i < lod_tensor1.numel(); ++i) {
    dst_ptr[i] = i;
  }

  std::vector<const LoDTensor*> lods{&lod_tensor0, &lod_tensor1};

  LoDTensor lod_tensor;
  lod_tensor.MergeLoDTensor(lods, place);
  EXPECT_EQ(lod_tensor.lod(), lod);
}

TEST(LoD, CheckLoD) {
  LoD relative_lod;
  relative_lod.push_back(std::vector<size_t>({0, 2}));
  relative_lod.push_back(std::vector<size_t>({0, 1, 3}));
  relative_lod.push_back(std::vector<size_t>({0, 2, 4, 5}));

  // check compatible
  ASSERT_TRUE(CheckLoD(relative_lod));
  relative_lod[1].back()++;
  ASSERT_FALSE(CheckLoD(relative_lod));
  relative_lod[1].back()--;  // recover it

  // check empty
  LoD empty_lod;
  ASSERT_TRUE(CheckLoD(empty_lod));

  // check less than 2 offsets in a level
  LoD some_lod0;
  some_lod0.push_back(std::vector<size_t>({0}));
  ASSERT_FALSE(CheckLoD(some_lod0));

  // check with underlying tensor storage.
  ASSERT_TRUE(CheckLoD(relative_lod, 5));
  ASSERT_FALSE(CheckLoD(relative_lod, 9));
}

TEST(LoD, CheckAbsLoD) {
  LoD relative_lod;
  relative_lod.push_back(std::vector<size_t>({0, 2}));
  relative_lod.push_back(std::vector<size_t>({0, 1, 3}));
  relative_lod.push_back(std::vector<size_t>({0, 2, 4, 5}));

  auto abs_lod = ToAbsOffset(relative_lod);

  ASSERT_TRUE(CheckAbsLoD(abs_lod));

  // check less than 2 offsets in a level.

  // check the last item should be compatible with tensor height.
  abs_lod.back().back()++;
  ASSERT_FALSE(CheckAbsLoD(abs_lod));
  abs_lod.back().back()--;  // restore

  // check less than 2 offsets in a lod.
  LoD abs_lod0;
  abs_lod0.push_back(std::vector<size_t>({0}));
  ASSERT_FALSE(CheckAbsLoD(abs_lod0));
}
}  // namespace framework
}  // namespace paddle