TIM-VX/src/tim/vx/ops/topk_test.cc

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

#include "gtest/gtest.h"

TEST(Topk, shape_3_4_k_2) {
  auto ctx = tim::vx::Context::Create();
  auto graph = ctx->CreateGraph();

  tim::vx::ShapeType input_shape({4, 3});
  tim::vx::ShapeType values_shape({6});
  tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, input_shape,
                                 tim::vx::TensorAttribute::INPUT);
  tim::vx::TensorSpec values_spec(tim::vx::DataType::FLOAT32, values_shape,
                                  tim::vx::TensorAttribute::OUTPUT);
  tim::vx::TensorSpec indices_spec(tim::vx::DataType::INT32, values_shape,
                                   tim::vx::TensorAttribute::OUTPUT);
  auto input_tensor = graph->CreateTensor(input_spec);
  auto value_tensor = graph->CreateTensor(values_spec);
  auto indices_tensor = graph->CreateTensor(indices_spec);

  std::vector<float> in_data = {
      1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
  };
  std::vector<float> value_golden = {
      4, 3, 4, 3, 4, 3,
  };
  std::vector<int32_t> indices_golden = {
      3, 2, 3, 2, 3, 2,
  };
  EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(),
                                             in_data.size() * sizeof(float)));
  auto op = graph->CreateOperation<tim::vx::ops::Topk>(2);
  (*op).BindInputs({input_tensor}).BindOutputs({value_tensor, indices_tensor});

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

  std::vector<float> value(value_golden.size());
  std::vector<int32_t> indices(6);
  EXPECT_TRUE(value_tensor->CopyDataFromTensor(value.data()));
  EXPECT_TRUE(indices_tensor->CopyDataFromTensor(indices.data()));
  EXPECT_EQ(value_golden, value);
  EXPECT_EQ(indices_golden, indices);
}

TEST(Topk, shape_3_2_2_k_1) {
  auto ctx = tim::vx::Context::Create();
  auto graph = ctx->CreateGraph();

  tim::vx::ShapeType input_shape({2, 2, 3});
  tim::vx::ShapeType values_shape({6});
  tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, input_shape,
                                 tim::vx::TensorAttribute::INPUT);
  tim::vx::TensorSpec values_spec(tim::vx::DataType::FLOAT32, values_shape,
                                  tim::vx::TensorAttribute::OUTPUT);
  tim::vx::TensorSpec indices_spec(tim::vx::DataType::INT32, values_shape,
                                   tim::vx::TensorAttribute::OUTPUT);
  auto input_tensor = graph->CreateTensor(input_spec);
  auto value_tensor = graph->CreateTensor(values_spec);
  auto indices_tensor = graph->CreateTensor(indices_spec);

  std::vector<float> in_data = {
      1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
  };
  std::vector<float> value_golden = {
      2, 4, 2, 4, 2, 4,
  };
  std::vector<int32_t> indices_golden = {
      1, 1, 1, 1, 1, 1,
  };
  EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(),
                                             in_data.size() * sizeof(float)));
  auto op = graph->CreateOperation<tim::vx::ops::Topk>(1);
  (*op).BindInputs({input_tensor}).BindOutputs({value_tensor, indices_tensor});

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

  std::vector<float> value(value_golden.size());
  std::vector<int32_t> indices(6);
  EXPECT_TRUE(value_tensor->CopyDataFromTensor(value.data()));
  EXPECT_TRUE(indices_tensor->CopyDataFromTensor(indices.data()));
  EXPECT_EQ(value_golden, value);
  EXPECT_EQ(indices_golden, indices);
}