| DATA_TEST_CASE (Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("BoundingBox",{ TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), TensorInfo(TensorShape(4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 66U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), }), framework::dataset::make("Scores", { TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(66U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), })), framework::dataset::make("Indices", { TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::S32), TensorInfo(TensorShape(3U), 1, DataType::S32), TensorInfo(TensorShape(200U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), })), framework::dataset::make("max_output", { 10U, 2U, 4U, 3U, 66U, 1U, 0U, 10000U, 100U, 10U, })), framework::dataset::make("score_threshold", { 0.1f, 0.4f, 0.2f, 0.8f, 0.3f, 0.01f, 0.5f, 0.45f, -1.f, 0.5f, })), framework::dataset::make("nms_threshold", { 0.3f, 0.7f, 0.1f, 0.13f, 0.2f, 0.97f, 0.76f, 0.87f, 0.1f, 10.f, })), framework::dataset::make("Expected", { true, false, false, false, true, false, false, true, false, false })), bbox_info, scores_info, indices_info, max_out, score_threshold, nms_threshold, expected) |