#include "tensorflow/core/framework/allocator.h"
#include "tensorflow/core/framework/fake_input.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/node_def_builder.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/tensor_testutil.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/kernels/ops_util.h"
#include "tensorflow/core/kernels/ops_testutil.h"
#include "tensorflow/core/public/tensor.h"
#include <gtest/gtest.h>
#include "tensorflow/core/lib/core/status_test_util.h"

namespace tensorflow {

class ResizeBilinearOpTest : public OpsTestBase {
 protected:
  ResizeBilinearOpTest() {
    RequireDefaultOps();
    EXPECT_OK(NodeDefBuilder("resize_bilinear_op", "ResizeBilinear")
                  .Input(FakeInput(DT_FLOAT))
                  .Input(FakeInput(DT_INT32))
                  .Finalize(node_def()));
    EXPECT_OK(InitOp());
  }
};

TEST_F(ResizeBilinearOpTest, TestBilinear2x2To1x1) {
  // Input:
  //  1, 2
  //  3, 4
  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
  AddInputFromArray<int32>(TensorShape({2}), {1, 1});
  ASSERT_OK(RunOpKernel());

  // When scaling down, we have to arbitrarily pick a pixel from the
  // original input.  In this case, we choose the top/left most pixel.
  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 1, 1, 1}));
  test::FillValues<float>(&expected, {1.0});
  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}

TEST_F(ResizeBilinearOpTest, TestBilinear2x2To3x3) {
  // Input:
  //  1, 2
  //  3, 4
  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
  AddInputFromArray<int32>(TensorShape({2}), {3, 3});
  ASSERT_OK(RunOpKernel());

  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 3, 3, 1}));

  // The corners should match the original corners, and we bilinear
  // interpolate the values in between.

  // clang-format off
  test::FillValues<float>(&expected,
    {1,     5.0/3,   2,
     7.0/3, 3,       10.0/3,
     3,     11.0/3,  4});

  // clang-format on
  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}

TEST_F(ResizeBilinearOpTest, TestBilinear3x3To4x4) {
  // Input:
  //  1, 2, 3,
  //  4, 5, 6,
  //  7, 8, 9
  AddInputFromArray<float>(TensorShape({1, 3, 3, 1}),
                           {1, 2, 3, 4, 5, 6, 7, 8, 9});
  AddInputFromArray<int32>(TensorShape({2}), {4, 4});
  ASSERT_OK(RunOpKernel());

  // The corners should match the original corners, and we bilinear
  // interpolate the values in between.
  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 4, 4, 1}));
  // clang-format off
  test::FillValues<float>(&expected,
    {1, 1.75, 2.5, 3,
     3.25, 4, 4.75, 5.25,
     5.5, 6.25, 7, 7.5,
     7,  7.75, 8.5, 9});

  // clang-format on
  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}

TEST_F(ResizeBilinearOpTest, TestBilinear2x2To3x3Batch2) {
  // Input:
  //  1, 2
  //  3, 4
  //
  // repeated twice
  AddInputFromArray<float>(TensorShape({2, 2, 2, 1}), {1, 2, 3, 4, 1, 2, 3, 4});
  AddInputFromArray<int32>(TensorShape({2}), {3, 3});
  ASSERT_OK(RunOpKernel());

  Tensor expected(allocator(), DT_FLOAT, TensorShape({2, 3, 3, 1}));
  // clang-format off
  test::FillValues<float>(&expected,
    {1, 5.0/3, 2, 7.0/3, 3, 10.0/3, 3, 11.0/3, 4,
     1, 5.0/3, 2, 7.0/3, 3, 10.0/3, 3, 11.0/3, 4
    });
  // clang-format on
  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}

TEST_F(ResizeBilinearOpTest, TestBilinear2x2x2To3x3x2) {
  AddInputFromArray<float>(TensorShape({1, 2, 2, 2}),
                           {1, -1, 2, -2, 3, -3, 4, -4});
  AddInputFromArray<int32>(TensorShape({2}), {3, 3});
  ASSERT_OK(RunOpKernel());

  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 3, 3, 2}));
  // clang-format off
  test::FillValues<float>(&expected,
    {
      1,      -1,
      5.0/3,  -5.0/3,
      2,      -2,
      7.0/3,  -7.0/3,
      3,      -3,
      10.0/3, -10.0/3,
      3,      -3,
      11.0/3, -11.0/3,
      4,      -4
    });
  // clang-format on
  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}

TEST_F(ResizeBilinearOpTest, TestBilinear2x2To4x4) {
  // Input:
  //  1, 2
  //  3, 4
  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
  AddInputFromArray<int32>(TensorShape({2}), {4, 4});
  ASSERT_OK(RunOpKernel());

  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 4, 4, 1}));
  // clang-format off
  test::FillValues<float>(&expected,
    {1,  1.5, 2, 2,
     2,  2.5, 3, 3,
     3,  3.5, 4, 4,
     3,  3.5, 4, 4});
  // clang-format on
  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}

TEST_F(ResizeBilinearOpTest, TestInvalidInputShape) {
  AddInputFromArray<float>(TensorShape({2, 2, 1}), {1, 2, 3, 4});
  AddInputFromArray<int32>(TensorShape({2}), {4, 4});
  ASSERT_FALSE(RunOpKernel().ok());
}

TEST_F(ResizeBilinearOpTest, TestInvalidSizeDim) {
  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
  AddInputFromArray<int32>(TensorShape({2, 1}), {4, 4});
  ASSERT_FALSE(RunOpKernel().ok());
}
TEST_F(ResizeBilinearOpTest, TestInvalidSizeElements) {
  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
  AddInputFromArray<int32>(TensorShape({3}), {4, 4, 1});
  ASSERT_FALSE(RunOpKernel().ok());
}

}  // namespace tensorflow