/* 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 <stdint.h>

#include <initializer_list>
#include <string>
#include <type_traits>
#include <vector>

#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "tensorflow/lite/kernels/test_util.h"
#include "tensorflow/lite/schema/schema_generated.h"
#include "tensorflow/lite/string_type.h"

namespace tflite {
namespace {

using ::testing::ElementsAreArray;
class TileOpBaseModel : public SingleOpModel {
 public:
  template <typename T>
  void SetInput(std::initializer_list<T> data) {
    PopulateTensor<T>(input_, data);
  }

  template <typename T>
  void SetMultipliers(std::initializer_list<T> data) {
    PopulateTensor<T>(multipliers_, data);
  }

  template <typename T>
  std::vector<T> GetOutput() {
    return ExtractVector<T>(output_);
  }

  std::vector<int> GetOutputShape() { return GetTensorShape(output_); }

 protected:
  int input_;
  int multipliers_;
  int output_;
};

template <typename InputType, typename MultipliersType = int32_t>
class TileOpConstModel : public TileOpBaseModel {
 public:
  TileOpConstModel(std::initializer_list<int> input_shape,
                   std::initializer_list<InputType> input_data,
                   TensorType input_type, TensorType multiply_type,
                   std::initializer_list<MultipliersType> multipliers_data,
                   bool allocate_and_delegate = true) {
    SetupInput(input_shape, input_data, input_type,
               std::is_same<std::string, InputType>());
    multipliers_ = AddConstInput(multiply_type, multipliers_data,
                                 {static_cast<int>(multipliers_data.size())});
    output_ = AddOutput(input_type);
    SetBuiltinOp(BuiltinOperator_TILE, BuiltinOptions_TileOptions, 0);
    BuildInterpreter({input_shape, {static_cast<int>(input_shape.size())}},
                     /*num_threads=*/-1,
                     /*allow_fp32_relax_to_fp16=*/false,
                     /*apply_delegate=*/true, allocate_and_delegate);
    if (allocate_and_delegate) {
      PopulateInput(input_data, std::is_same<std::string, InputType>());
    }
  }

 private:
  template <typename T>
  void SetupInput(std::initializer_list<int> input_shape,
                  std::initializer_list<T> input_data, TensorType input_type,
                  std::false_type) {
    input_ = AddConstInput(input_type, input_data, input_shape);
  }
  template <typename T>
  void SetupInput(std::initializer_list<int> input_shape,
                  std::initializer_list<T> input_data, TensorType input_type,
                  std::true_type) {
    input_ = AddInput(input_type);
  }
  template <typename T>
  void PopulateInput(std::initializer_list<T> input_data, std::false_type) {}
  template <typename T>
  void PopulateInput(std::initializer_list<T> input_data, std::true_type) {
    SetInput(input_data);
  }
};

class TileOpDynamicModel : public TileOpBaseModel {
 public:
  TileOpDynamicModel(std::initializer_list<int> input_shape,
                     TensorType input_type, TensorType multiply_type) {
    input_ = AddInput(input_type);
    multipliers_ = AddInput(multiply_type);
    output_ = AddOutput(input_type);
    SetBuiltinOp(BuiltinOperator_TILE, BuiltinOptions_TileOptions, 0);
    BuildInterpreter({input_shape, {static_cast<int>(input_shape.size())}});
  }
};

enum class TestType {
  kConst = 0,
  kDynamic = 1,
};

template <typename InputType, typename MultipliersType = int32_t>
void Check(std::initializer_list<int> input_shape,
           std::initializer_list<InputType> input_data,
           std::initializer_list<MultipliersType> multipliers_data,
           std::initializer_list<int> exp_output_shape,
           std::initializer_list<InputType> exp_output_data,
           TensorType input_type, TensorType multiply_type,
           TestType test_type) {
  switch (test_type) {
    case TestType::kConst: {
      if (SingleOpModel::GetForceUseNnapi() &&
          !std::is_same<InputType, std::string>::value) {
        // NNAPI does not support graphs with all constant inputs.
        return;
      }
      TileOpConstModel<InputType, MultipliersType> m(
          input_shape, input_data, input_type, multiply_type, multipliers_data);
      ASSERT_EQ(m.Invoke(), kTfLiteOk);

      EXPECT_THAT(m.GetOutputShape(), ElementsAreArray(exp_output_shape));
      EXPECT_THAT(m.template GetOutput<InputType>(),
                  ElementsAreArray(exp_output_data));
      return;
    }
    case TestType::kDynamic: {
      TileOpDynamicModel m(input_shape, input_type, multiply_type);
      m.SetInput(input_data);
      m.SetMultipliers(multipliers_data);
      ASSERT_EQ(m.Invoke(), kTfLiteOk);

      EXPECT_THAT(m.GetOutputShape(), ElementsAreArray(exp_output_shape));
      EXPECT_THAT(m.template GetOutput<InputType>(),
                  ElementsAreArray(exp_output_data));
      return;
    }
  }
}

class TileTest : public ::testing::TestWithParam<TestType> {};

TEST_P(TileTest, Float32Vector) {
  Check<float>(/*input_shape=*/{3},
               /*input_data=*/{1.0, 2.0, 3.0},
               /*multipliers_data=*/{2}, /*exp_output_shape=*/{6},
               /*exp_output_data=*/{1.0, 2.0, 3.0, 1.0, 2.0, 3.0},
               /*input_type=*/TensorType_FLOAT32,
               /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, Float32Matrix) {
  Check<float>(
      /*input_shape=*/{2, 3},
      /*input_data=*/{11.f, 12.f, 13.f, 21.f, 22.f, 23.f},
      /*multipliers_data=*/{2, 1}, /*exp_output_shape=*/{4, 3},
      /*exp_output_data=*/
      {11.f, 12.f, 13.f, 21.f, 22.f, 23.f, 11.f, 12.f, 13.f, 21.f, 22.f, 23.f},
      /*input_type=*/TensorType_FLOAT32,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, Float32HighDimension) {
  Check<float>(
      /*input_shape=*/{1, 2, 3},
      /*input_data=*/{11.f, 12.f, 13.f, 21.f, 22.f, 23.f},
      /*multipliers_data=*/{2, 3, 1}, /*exp_output_shape=*/{2, 6, 3},
      /*exp_output_data=*/{11.f, 12.f, 13.f, 21.f, 22.f, 23.f, 11.f, 12.f,
                           13.f, 21.f, 22.f, 23.f, 11.f, 12.f, 13.f, 21.f,
                           22.f, 23.f, 11.f, 12.f, 13.f, 21.f, 22.f, 23.f,
                           11.f, 12.f, 13.f, 21.f, 22.f, 23.f, 11.f, 12.f,
                           13.f, 21.f, 22.f, 23.f},
      /*input_type=*/TensorType_FLOAT32,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, Uint8Matrix) {
  Check<uint8_t>(
      /*input_shape=*/{2, 3},
      /*input_data=*/{11, 12, 13, 21, 22, 23},
      /*multipliers_data=*/{2, 1}, /*exp_output_shape=*/{4, 3},
      /*exp_output_data=*/{11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23},
      /*input_type=*/TensorType_UINT8,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, Int32Matrix) {
  Check<int32_t>(
      /*input_shape=*/{2, 3},
      /*input_data=*/{11, 12, 13, 21, 22, 23},
      /*multipliers_data=*/{2, 1}, /*exp_output_shape=*/{4, 3},
      /*exp_output_data=*/{11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23},
      /*input_type=*/TensorType_INT32,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, BooleanMatrix) {
  Check<bool>(
      /*input_shape=*/{2, 3},
      /*input_data=*/{true, false, false, true, true, false},
      /*multipliers_data=*/{2, 1}, /*exp_output_shape=*/{4, 3},
      /*exp_output_data=*/
      {true, false, false, true, true, false, true, false, false, true, true,
       false},
      /*input_type=*/TensorType_BOOL,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, Int64Matrix) {
  Check<int64_t>(
      /*input_shape=*/{2, 3},
      /*input_data=*/{11, 12, 13, 21, 22, 23},
      /*multipliers_data=*/{2, 1}, /*exp_output_shape=*/{4, 3},
      /*exp_output_data=*/{11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23},
      /*input_type=*/TensorType_INT64,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, Int64Matrix64Multipliers) {
  Check<int64_t, int64_t>(
      /*input_shape=*/{2, 3},
      /*input_data=*/{11, 12, 13, 21, 22, 23},
      /*multipliers_data=*/{2, 1}, /*exp_output_shape=*/{4, 3},
      /*exp_output_data=*/{11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23},
      /*input_type=*/TensorType_INT64,
      /*multiply_type=*/TensorType_INT64, GetParam());
}

TEST_P(TileTest, Int8Matrix) {
  if (SingleOpModel::GetForceUseNnapi()) {
    return;
  }
  Check<int8_t>(
      /*input_shape=*/{2, 3},
      /*input_data=*/{11, 12, 13, 21, 22, 23},
      /*multipliers_data=*/{2, 1}, /*exp_output_shape=*/{4, 3},
      /*exp_output_data=*/{11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23},
      /*input_type=*/TensorType_INT8,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, StringMatrix) {
  Check<std::string>(
      /*input_shape=*/{2, 3},
      /*input_data=*/{"AA", "AB", "AC", "BA", "BB", "BC"},
      /*multipliers_data=*/{1, 2}, /*exp_output_shape=*/{2, 6},
      /*exp_output_data=*/
      {"AA", "AB", "AC", "AA", "AB", "AC", "BA", "BB", "BC", "BA", "BB", "BC"},
      /*input_type=*/TensorType_STRING,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, StringMatrix64Multipliers) {
  Check<std::string, int64_t>(
      /*input_shape=*/{2, 3},
      /*input_data=*/{"AA", "AB", "AC", "BA", "BB", "BC"},
      /*multipliers_data=*/{2, 1}, /*exp_output_shape=*/{4, 3},
      /*exp_output_data=*/
      {"AA", "AB", "AC", "BA", "BB", "BC", "AA", "AB", "AC", "BA", "BB", "BC"},
      /*input_type=*/TensorType_STRING,
      /*multiply_type=*/TensorType_INT64, GetParam());
}

TEST_P(TileTest, StringMatrix2) {
  Check<std::string>(
      /*input_shape=*/{3, 2, 1},
      /*input_data=*/{"AA", "AB", "AC", "BA", "BB", "BC"},
      /*multipliers_data=*/{2, 2, 2}, /*exp_output_shape=*/{6, 4, 2},
      /*exp_output_data=*/
      {"AA", "AA", "AB", "AB", "AA", "AA", "AB", "AB", "AC", "AC", "BA", "BA",
       "AC", "AC", "BA", "BA", "BB", "BB", "BC", "BC", "BB", "BB", "BC", "BC",
       "AA", "AA", "AB", "AB", "AA", "AA", "AB", "AB", "AC", "AC", "BA", "BA",
       "AC", "AC", "BA", "BA", "BB", "BB", "BC", "BC", "BB", "BB", "BC", "BC"},
      /*input_type=*/TensorType_STRING,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, StringMatrixEmptyInputElements) {
  Check<std::string>(
      /*input_shape=*/{0, 1, 1},
      /*input_data=*/{},
      /*multipliers_data=*/{2, 2, 2}, /*exp_output_shape=*/{0, 2, 2},
      /*exp_output_data=*/
      {},
      /*input_type=*/TensorType_STRING,
      /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST_P(TileTest, Int32EmptyInput) {
  Check<int32_t>(/*input_shape=*/{2, 1, 3},
                 /*input_data=*/{11, 12, 13, 21, 22, 23},
                 /*multipliers_data=*/{2, 0, 2},
                 /*exp_output_shape=*/{4, 0, 6},
                 /*exp_output_data=*/{},
                 /*input_type=*/TensorType_INT32,
                 /*multiply_type=*/TensorType_INT32, GetParam());
}

TEST(TileDynamicTest, NegativeMultipliersString) {
  TileOpDynamicModel m({2, 1, 1}, TensorType_STRING, TensorType_INT32);
  m.SetInput<std::string>({"A", "B"});
  m.SetMultipliers({2, -100, -10});
  EXPECT_NE(m.Invoke(), kTfLiteOk);
}

template <typename MultipliersType>
void CheckInvalidMultipliers(
    TensorType multiply_type, TestType test_type,
    std::initializer_list<MultipliersType> multipliers_data) {
  switch (test_type) {
    case TestType::kConst: {
      TileOpConstModel<int32_t, MultipliersType> m(
          {2, 3}, {11, 12, 13, 21, 22, 23}, TensorType_INT32, multiply_type,
          multipliers_data, /*allocate_and_delegate=*/false);
      EXPECT_NE(m.AllocateTensors(), kTfLiteOk);
      return;
    }
    case TestType::kDynamic: {
      TileOpDynamicModel m({2, 3}, TensorType_INT32, multiply_type);
      m.SetInput({11, 12, 13, 21, 22, 23});
      m.SetMultipliers(multipliers_data);
      EXPECT_NE(m.Invoke(), kTfLiteOk);
      return;
    }
  }
}

TEST_P(TileTest, MultiplierOverflowInt32) {
  CheckInvalidMultipliers<int32_t>(TensorType_INT32, GetParam(),
                                   {1073741824, 1});
}

TEST_P(TileTest, MultiplierNegativeInt32) {
  CheckInvalidMultipliers<int32_t>(TensorType_INT32, GetParam(), {-1, 1});
}

TEST_P(TileTest, MultiplierNegativeInt64) {
  CheckInvalidMultipliers<int64_t>(TensorType_INT64, GetParam(), {-1LL, 1LL});
}

INSTANTIATE_TEST_SUITE_P(TileTest, TileTest,
                         ::testing::Values(TestType::kConst,
                                           TestType::kDynamic));
}  // namespace
}  // namespace tflite