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

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#include "tim/vx/ops/roi_pool.h"

#include "gtest/gtest.h"
#include "test_utils.h"
#include "tim/vx/context.h"
#include "tim/vx/graph.h"
#include "tim/vx/types.h"

TEST(RoiPool, shape_4_2_1_1_float32) {
  auto ctx = tim::vx::Context::Create();
  auto graph = ctx->CreateGraph();

  uint32_t height = 4;
  uint32_t width = 4;
  uint32_t channels = 1;
  uint32_t batch = 1;
  uint32_t num_rois = 4;
  uint32_t depth = channels;

  int32_t out_height = 2;
  int32_t out_width = 2;
  float scale = 0.5f;


  tim::vx::ShapeType input_shape({width, height, channels, batch});  //whcn
  tim::vx::ShapeType regions_shape({5, num_rois});
  tim::vx::ShapeType output_shape(
      {(uint32_t)out_width, (uint32_t)out_height, depth, num_rois});

  tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, input_shape,
                                 tim::vx::TensorAttribute::INPUT);
  tim::vx::TensorSpec regions_spec(tim::vx::DataType::FLOAT32, regions_shape,
                                   tim::vx::TensorAttribute::INPUT);
  tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32, output_shape,
                                  tim::vx::TensorAttribute::OUTPUT);

  std::vector<float> input_data = {-10.0f, -1.0f, 4.0f,  -5.0f, 
                                  -8.0f, -2.0f, 9.0f,   1.0f,
                                   7.0f, -2.0f, 3.0f,  -7.0f,
                                   -2.0f,  10.0f, -3.0f, 5.0f};

  std::vector<float> regions_data = {0.0f, 2.0f, 2.0f, 4.0f, 4.0f,
                                     0.0f, 0.0f, 0.0f, 8.0f, 8.0f,
                                     0.0f, 2.0f, 0.0f, 4.0f, 8.0f,
                                     0.0f, 0.0f, 2.0f, 8.0f, 4.0f};


  std::vector<float> golden = {
      -2, 9, -2, 3,
      9, 9, 10, 5,
      -1, 9, 10, 3,
      9, 9, 7, 3};

  auto input_tensor = graph->CreateTensor(input_spec);
  auto regions_tensor = graph->CreateTensor(regions_spec);
  auto output_tensor = graph->CreateTensor(output_spec);
  
   std::array<uint32_t, 2> size;
   size[0] = out_height;
   size[1] = out_width;
  auto roi_pool = graph->CreateOperation<tim::vx::ops::RoiPool>(tim::vx::PoolType::MAX, scale, size);
  (*roi_pool)
      .BindInput(input_tensor)
      .BindInput(regions_tensor)
      .BindOutput(output_tensor);

  

  EXPECT_TRUE(input_tensor->CopyDataToTensor(input_data.data(), input_data.size()*sizeof(float)));
  EXPECT_TRUE(regions_tensor->CopyDataToTensor(regions_data.data(), regions_data.size()*sizeof(float)));
  EXPECT_TRUE(graph->Compile());
  EXPECT_TRUE(graph->Run());

  std::vector<float> output(num_rois * out_height * out_width * depth);
  EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
  EXPECT_EQ(golden, output);
}