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#include "tim/vx/context.h"
#include "tim/vx/graph.h"
#include "tim/vx/ops/stack.h"

#include "gtest/gtest.h"

TEST(Stack, shape_3_4_axis_2) {
  auto ctx = tim::vx::Context::Create();
  auto graph = ctx->CreateGraph();

  tim::vx::ShapeType input_shape({4, 3});
  tim::vx::ShapeType output_shape({4, 3, 2});
  tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, input_shape,
                                 tim::vx::TensorAttribute::INPUT);
  tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32, output_shape,
                                  tim::vx::TensorAttribute::OUTPUT);

  auto input_tensor1 = graph->CreateTensor(input_spec);
  auto input_tensor2 = graph->CreateTensor(input_spec);
  auto output_tensor = graph->CreateTensor(output_spec);

  std::vector<float> in_data = {
      2, 1, 0, 1,
      2, 4, 4, 4,
      3, 2, 1, 4,
  };
  std::vector<float> golden = {
      2, 1, 0, 1,
      2, 4, 4, 4,
      3, 2, 1, 4,
      2, 1, 0, 1,
      2, 4, 4, 4,
      3, 2, 1, 4,
  };

  EXPECT_TRUE(input_tensor1->CopyDataToTensor(in_data.data(),
                                              in_data.size() * sizeof(float)));
  EXPECT_TRUE(input_tensor2->CopyDataToTensor(in_data.data(),
                                              in_data.size() * sizeof(float)));
  auto op = graph->CreateOperation<tim::vx::ops::Stack>(2, 2);
  (*op).BindInputs({input_tensor1, input_tensor2}).BindOutputs({output_tensor});

  EXPECT_TRUE(graph->Compile());
  EXPECT_TRUE(graph->Run());

  std::vector<float> output(golden.size());
  EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
  EXPECT_EQ(golden, output);
}

TEST(Stack, shape_3_4_axis_1) {
  auto ctx = tim::vx::Context::Create();
  auto graph = ctx->CreateGraph();

  tim::vx::ShapeType input_shape({4, 3});
  tim::vx::ShapeType output_shape({4, 2, 3});
  tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, input_shape,
                                 tim::vx::TensorAttribute::INPUT);
  tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32, output_shape,
                                  tim::vx::TensorAttribute::OUTPUT);

  auto input_tensor1 = graph->CreateTensor(input_spec);
  auto input_tensor2 = graph->CreateTensor(input_spec);
  auto output_tensor = graph->CreateTensor(output_spec);

  std::vector<float> in_data = {
      2, 1, 0, 1,
      2, 4, 4, 4,
      3, 2, 1, 4,
  };
  std::vector<float> golden = {
        2, 1, 0, 1,
        2, 1, 0, 1,

        2, 4, 4, 4,
        2, 4, 4, 4,

        3, 2, 1, 4,
        3, 2, 1, 4,
  };

  EXPECT_TRUE(input_tensor1->CopyDataToTensor(in_data.data(),
                                              in_data.size() * sizeof(float)));
  EXPECT_TRUE(input_tensor2->CopyDataToTensor(in_data.data(),
                                              in_data.size() * sizeof(float)));
  auto op = graph->CreateOperation<tim::vx::ops::Stack>(1, 2);
  (*op).BindInputs({input_tensor1, input_tensor2}).BindOutputs({output_tensor});

  EXPECT_TRUE(graph->Compile());
  EXPECT_TRUE(graph->Run());

  std::vector<float> output(golden.size());
  EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
  EXPECT_EQ(golden, output);
}

TEST(Stack, shape_3_4_axis_0) {
  auto ctx = tim::vx::Context::Create();
  auto graph = ctx->CreateGraph();

  tim::vx::ShapeType input_shape({4, 3});
  tim::vx::ShapeType output_shape({2, 4, 3});
  tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, input_shape,
                                 tim::vx::TensorAttribute::INPUT);
  tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32, output_shape,
                                  tim::vx::TensorAttribute::OUTPUT);

  auto input_tensor1 = graph->CreateTensor(input_spec);
  auto input_tensor2 = graph->CreateTensor(input_spec);
  auto output_tensor = graph->CreateTensor(output_spec);

  std::vector<float> in_data = {
      2, 1, 0, 1,
      2, 4, 4, 4,
      3, 2, 1, 4,
  };
  std::vector<float> golden = {
        2, 2,
        1, 1,
        0, 0,
        1, 1,

        2, 2,
        4, 4,
        4, 4,
        4, 4,

        3, 3,
        2, 2,
        1, 1,
        4, 4,
  };

  EXPECT_TRUE(input_tensor1->CopyDataToTensor(in_data.data(),
                                              in_data.size() * sizeof(float)));
  EXPECT_TRUE(input_tensor2->CopyDataToTensor(in_data.data(),
                                              in_data.size() * sizeof(float)));
  auto op = graph->CreateOperation<tim::vx::ops::Stack>(0, 2);
  (*op).BindInputs({input_tensor1, input_tensor2}).BindOutputs({output_tensor});

  EXPECT_TRUE(graph->Compile());
  EXPECT_TRUE(graph->Run());

  std::vector<float> output(golden.size());
  EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
  EXPECT_EQ(golden, output);
}

TEST(Stack, shape_3_4_axis_0_int32) {
  auto ctx = tim::vx::Context::Create();
  auto graph = ctx->CreateGraph();

  tim::vx::ShapeType input_shape({4, 3});
  tim::vx::ShapeType output_shape({2, 4, 3});
  tim::vx::TensorSpec input_spec(tim::vx::DataType::INT32, input_shape,
                                 tim::vx::TensorAttribute::INPUT);
  tim::vx::TensorSpec output_spec(tim::vx::DataType::INT32, output_shape,
                                  tim::vx::TensorAttribute::OUTPUT);

  auto input_tensor1 = graph->CreateTensor(input_spec);
  auto input_tensor2 = graph->CreateTensor(input_spec);
  auto output_tensor = graph->CreateTensor(output_spec);

  std::vector<int32_t> in_data = {
      2, 1, 0, 1,
      2, 4, 4, 4,
      3, 2, 1, 4,
  };
  std::vector<int32_t> golden = {
        2, 2,
        1, 1,
        0, 0,
        1, 1,

        2, 2,
        4, 4,
        4, 4,
        4, 4,

        3, 3,
        2, 2,
        1, 1,
        4, 4,
  };

  EXPECT_TRUE(input_tensor1->CopyDataToTensor(in_data.data(),
                                              in_data.size() * sizeof(int32_t)));
  EXPECT_TRUE(input_tensor2->CopyDataToTensor(in_data.data(),
                                              in_data.size() * sizeof(int32_t)));
  auto op = graph->CreateOperation<tim::vx::ops::Stack>(0, 2);
  (*op).BindInputs({input_tensor1, input_tensor2}).BindOutputs({output_tensor});

  EXPECT_TRUE(graph->Compile());
  EXPECT_TRUE(graph->Run());

  std::vector<int32_t> output(golden.size());
  EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
  EXPECT_EQ(golden, output);
}

TEST(Stack, Stack_shape_2_4_axis_1_u8) {
  auto ctx = tim::vx::Context::Create();
  auto graph = ctx->CreateGraph();

  tim::vx::ShapeType input_shape({4});
  tim::vx::ShapeType output_shape({4, 2});
  tim::vx::TensorSpec input_spec(tim::vx::DataType::UINT8, input_shape,
                                 tim::vx::TensorAttribute::INPUT);
  tim::vx::TensorSpec output_spec(tim::vx::DataType::UINT8, output_shape,
                                  tim::vx::TensorAttribute::OUTPUT);

  auto input_tensor1 = graph->CreateTensor(input_spec);
  auto input_tensor2 = graph->CreateTensor(input_spec);
  auto output_tensor = graph->CreateTensor(output_spec);

  std::vector<uint8_t> in_data1 = {
      2, 1, 0, 1,
  };
  std::vector<uint8_t> in_data2 = {
     1, 0, 1, 2
  };
  std::vector<uint8_t> golden = {
        2, 1, 0, 1,
        1,0, 1, 2
  };

  EXPECT_TRUE(input_tensor1->CopyDataToTensor(in_data1.data(),
                                              in_data1.size() * sizeof(uint8_t)));
  EXPECT_TRUE(input_tensor2->CopyDataToTensor(in_data2.data(),
                                              in_data2.size() * sizeof(uint8_t)));
  auto op = graph->CreateOperation<tim::vx::ops::Stack>(1, 2);
  (*op).BindInputs({input_tensor1, input_tensor2}).BindOutputs({output_tensor});

  EXPECT_TRUE(graph->Compile());
  EXPECT_TRUE(graph->Run());

  std::vector<uint8_t> output(golden.size());
  EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
  EXPECT_EQ(golden, output);
}
