/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

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 "tensorflow/compiler/xla/array4d.h"

#include <initializer_list>
#include <numeric>

#include "tensorflow/core/lib/gtl/array_slice.h"
#include "tensorflow/core/platform/test.h"

namespace xla {
namespace {

// Given an Array4D and a 4-tuple index, computes the linear index into the
// array idx represents.
template <typename T>
int64 Array4DLinearIndex(const Array4D<T>& arr,
                         tensorflow::gtl::ArraySlice<int64> idx) {
  EXPECT_EQ(4, idx.size());
  return (idx[3] + idx[2] * arr.n4() + idx[1] * arr.n3() * arr.n4() +
          idx[0] * arr.n2() * arr.n3() * arr.n4());
}

TEST(Array4dTest, UninitializedDimsCtor) {
  Array4D<int> empty(2, 3, 4, 5);
  EXPECT_EQ(empty.n1(), 2);
  EXPECT_EQ(empty.n2(), 3);
  EXPECT_EQ(empty.n3(), 4);
  EXPECT_EQ(empty.n4(), 5);
  EXPECT_EQ(empty.num_elements(), 120);
}

TEST(Array4dTest, FillCtor) {
  Array4D<int> fullof7(2, 3, 4, 5, 7);

  EXPECT_EQ(fullof7.n1(), 2);
  EXPECT_EQ(fullof7.n2(), 3);
  EXPECT_EQ(fullof7.n3(), 4);
  EXPECT_EQ(fullof7.n4(), 5);

  fullof7.Each([](tensorflow::gtl::ArraySlice<int64> idx, int* cell) {
    EXPECT_EQ(*cell, 7);
  });
}

TEST(Array4dTest, ContainerCtor) {
  // Fill an Array4D with a linear vector of [0..119] according to the default
  // row-major ordering.
  std::vector<int> filler(120);
  std::iota(filler.begin(), filler.end(), 0);

  Array4D<int> arr(2, 3, 4, 5, filler);

  EXPECT_EQ(arr.n1(), 2);
  EXPECT_EQ(arr.n2(), 3);
  EXPECT_EQ(arr.n3(), 4);
  EXPECT_EQ(arr.n4(), 5);

  arr.Each([&arr](tensorflow::gtl::ArraySlice<int64> idx, int* cell) {
    EXPECT_EQ(*cell, Array4DLinearIndex(arr, idx));
  });
}

TEST(Array3dTest, InitializerListCtor) {
  Array4D<int> arr = {{{{1}, {2}}, {{3}, {4}}, {{5}, {6}}, {{7}, {8}}},
                      {{{9}, {10}}, {{11}, {12}}, {{13}, {14}}, {{15}, {16}}},
                      {{{17}, {18}}, {{19}, {20}}, {{21}, {22}}, {{23}, {24}}}};

  EXPECT_EQ(arr.n1(), 3);
  EXPECT_EQ(arr.n2(), 4);
  EXPECT_EQ(arr.n3(), 2);
  EXPECT_EQ(arr.n4(), 1);
  EXPECT_EQ(arr.num_elements(), 24);

  EXPECT_EQ(arr(0, 0, 0, 0), 1);
  EXPECT_EQ(arr(0, 0, 1, 0), 2);
  EXPECT_EQ(arr(0, 1, 0, 0), 3);
  EXPECT_EQ(arr(0, 3, 1, 0), 8);
  EXPECT_EQ(arr(1, 0, 0, 0), 9);
  EXPECT_EQ(arr(1, 1, 1, 0), 12);
  EXPECT_EQ(arr(2, 0, 0, 0), 17);
  EXPECT_EQ(arr(2, 1, 1, 0), 20);
  EXPECT_EQ(arr(2, 2, 0, 0), 21);
  EXPECT_EQ(arr(2, 3, 1, 0), 24);
}

TEST(Array4dTest, Fill) {
  Array4D<int> fullof7(2, 3, 4, 5, 7);
  fullof7.Each([](tensorflow::gtl::ArraySlice<int64> idx, int* cell) {
    EXPECT_EQ(*cell, 7);
  });

  fullof7.Fill(11);
  fullof7.Each([](tensorflow::gtl::ArraySlice<int64> idx, int* cell) {
    EXPECT_EQ(*cell, 11);
  });
}

TEST(Array4dTest, FillWithMultiples) {
  Array4D<float> arr(2, 3, 4, 5);
  arr.FillWithMultiples(2.0f);

  arr.Each([&arr](tensorflow::gtl::ArraySlice<int64> idx, float* cell) {
    EXPECT_EQ(*cell, 2.0f * Array4DLinearIndex(arr, idx));
  });
}

TEST(Array4dTest, FillRasterDimensionDepthOne) {
  Array4D<float> array(1, 1, 128, 128);
  Array2D<float> raster(128, 128);
  for (int row = 0; row < 128; ++row) {
    for (int col = 0; col < 128; ++col) {
      raster(row, col) = row * 1000.0 + col;
    }
  }

  array.FillWithYX(raster);

  VLOG(1) << array.ToString();

  EXPECT_FLOAT_EQ(raster(0, 0), array(0, 0, 0, 0));
  EXPECT_FLOAT_EQ(raster(0, 1), array(0, 0, 0, 1));
  EXPECT_FLOAT_EQ(raster(1, 0), array(0, 0, 1, 0));
  EXPECT_FLOAT_EQ(raster(1, 1), array(0, 0, 1, 1));
  EXPECT_FLOAT_EQ(raster(2, 0), array(0, 0, 2, 0));
  EXPECT_FLOAT_EQ(raster(127, 127), array(0, 0, 127, 127));

  EXPECT_FLOAT_EQ(0, array(0, 0, 0, 0));
  EXPECT_FLOAT_EQ(1, array(0, 0, 0, 1));
  EXPECT_FLOAT_EQ(2, array(0, 0, 0, 2));

  EXPECT_FLOAT_EQ(1001, array(0, 0, 1, 1));
  EXPECT_FLOAT_EQ(2001, array(0, 0, 2, 1));
  EXPECT_FLOAT_EQ(127000, array(0, 0, 127, 0));
  EXPECT_FLOAT_EQ(127127, array(0, 0, 127, 127));
}

TEST(Array4dTest, FillWithPzTestDepthOne) {
  Array2D<float> matrix(3, 2);
  std::initializer_list<std::initializer_list<float>> values = {
      {-3.f, -0.1f}, {0.f, -0.1f}, {3.f, 0.2f},
  };
  int rowno = 0;
  for (auto row : values) {
    int colno = 0;
    for (float f : row) {
      matrix(rowno, colno) = f;
      colno++;
    }
    rowno++;
  }

  Array4D<float> actual(3, 2, 1, 1);
  actual.FillWithPZ(matrix);

  EXPECT_FLOAT_EQ(-3, actual(0, 0, 0, 0));
  EXPECT_FLOAT_EQ(-0.1, actual(0, 1, 0, 0));

  EXPECT_FLOAT_EQ(0, actual(1, 0, 0, 0));
  EXPECT_FLOAT_EQ(-0.1, actual(1, 1, 0, 0));

  EXPECT_FLOAT_EQ(3, actual(2, 0, 0, 0));
  EXPECT_FLOAT_EQ(0.2, actual(2, 1, 0, 0));
}

}  // namespace
}  // namespace xla
