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TfLite unpack_test test case refactor #27371

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merged 1 commit into from Apr 1, 2019
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TfLite unpack_test test case refactor #27371

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216 changes: 60 additions & 156 deletions tensorflow/lite/kernels/unpack_test.cc
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Expand Up @@ -12,7 +12,6 @@ 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 <vector>
#include <gtest/gtest.h>
#include "tensorflow/lite/interpreter.h"
#include "tensorflow/lite/kernels/register.h"
Expand All @@ -22,7 +21,7 @@ limitations under the License.
namespace tflite {
namespace {

using ::testing::ElementsAre;
using ::testing::ElementsAreArray;

template <typename T>
class UnpackOpModel : public SingleOpModel {
Expand Down Expand Up @@ -67,192 +66,97 @@ class UnpackOpModel : public SingleOpModel {
std::vector<int> outputs_;
};

// float32 tests.
TEST(UnpackOpTest, FloatThreeOutputs) {
UnpackOpModel<float> model({TensorType_FLOAT32, {3, 2}}, 0);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();
template <typename T>
void Check(int axis, const std::initializer_list<int>& input_shape,
const std::initializer_list<T>& input_data,
const std::vector<std::vector<int>>& exp_output_shape,
const std::vector<std::vector<T>>& exp_output_data,
const TensorType& type = TensorType_FLOAT32) {
UnpackOpModel<T> m({type, input_shape}, axis);
m.SetInput(input_data);
m.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 3);
EXPECT_THAT(output_shapes[0], ElementsAre(2));
EXPECT_THAT(output_shapes[1], ElementsAre(2));
EXPECT_THAT(output_shapes[2], ElementsAre(2));
EXPECT_THAT(m.GetOutputShapes(), ElementsAreArray(exp_output_shape));

// Check outputs values.
const std::vector<std::vector<float>>& output_datas = model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 3);
EXPECT_THAT(output_datas[0], ElementsAre(1, 2));
EXPECT_THAT(output_datas[1], ElementsAre(3, 4));
EXPECT_THAT(output_datas[2], ElementsAre(5, 6));
EXPECT_THAT(m.GetOutputDatas(), ElementsAreArray(exp_output_data));
}

TEST(UnpackOpTest, FloatThreeOutputsAxisOne) {
UnpackOpModel<float> model({TensorType_FLOAT32, {3, 2}}, 1);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 2);
EXPECT_THAT(output_shapes[0], ElementsAre(3));
EXPECT_THAT(output_shapes[1], ElementsAre(3));
// float32 tests.
TEST(UnpackOpTest, FloatThreeOutputs) {
Check<float>(/*axis=*/0, /*input_shape=*/{3, 2},
/*input_data=*/{1, 2, 3, 4, 5, 6},
/*expected_output_shape=*/{{2}, {2}, {2}},
/*expected_output_data=*/{{1, 2}, {3, 4}, {5, 6}});
}

// Check outputs values.
const std::vector<std::vector<float>>& output_datas = model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 2);
EXPECT_THAT(output_datas[0], ElementsAre(1, 3, 5));
EXPECT_THAT(output_datas[1], ElementsAre(2, 4, 6));
TEST(UnpackOpTest, FloatThreeOutputsAxisOne) {
Check<float>(/*axis=*/1, /*input_shape=*/{3, 2},
/*input_data=*/{1, 2, 3, 4, 5, 6},
/*expected_output_shape=*/{{3}, {3}},
/*expected_output_data=*/{{1, 3, 5}, {2, 4, 6}});
}

TEST(UnpackOpTest, FloatThreeOutputsNegativeAxisOne) {
UnpackOpModel<float> model({TensorType_FLOAT32, {3, 2}}, -1);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 2);
EXPECT_THAT(output_shapes[0], ElementsAre(3));
EXPECT_THAT(output_shapes[1], ElementsAre(3));

// Check outputs values.
const std::vector<std::vector<float>>& output_datas = model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 2);
EXPECT_THAT(output_datas[0], ElementsAre(1, 3, 5));
EXPECT_THAT(output_datas[1], ElementsAre(2, 4, 6));
Check<float>(/*axis=*/-1, /*input_shape=*/{3, 2},
/*input_data=*/{1, 2, 3, 4, 5, 6},
/*expected_output_shape=*/{{3}, {3}},
/*expected_output_data=*/{{1, 3, 5}, {2, 4, 6}});
}

TEST(UnpackOpTest, FloatThreeOutputsNegativeAxisTwo) {
UnpackOpModel<float> model({TensorType_FLOAT32, {3, 2}}, -2);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 3);
EXPECT_THAT(output_shapes[0], ElementsAre(2));
EXPECT_THAT(output_shapes[1], ElementsAre(2));
EXPECT_THAT(output_shapes[2], ElementsAre(2));

// Check outputs values.
const std::vector<std::vector<float>>& output_datas = model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 3);
EXPECT_THAT(output_datas[0], ElementsAre(1, 2));
EXPECT_THAT(output_datas[1], ElementsAre(3, 4));
EXPECT_THAT(output_datas[2], ElementsAre(5, 6));
Check<float>(/*axis=*/-2, /*input_shape=*/{3, 2},
/*input_data=*/{1, 2, 3, 4, 5, 6},
/*expected_output_shape=*/{{2}, {2}, {2}},
/*expected_output_data=*/{{1, 2}, {3, 4}, {5, 6}});
}

TEST(UnpackOpTest, FloatOneOutput) {
UnpackOpModel<float> model({TensorType_FLOAT32, {1, 6}}, 0);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 1);
EXPECT_THAT(output_shapes[0], ElementsAre(6));

// Check outputs values.
const std::vector<std::vector<float>>& output_datas = model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 1);
EXPECT_THAT(output_datas[0], ElementsAre(1, 2, 3, 4, 5, 6));
Check<float>(/*axis=*/0, /*input_shape=*/{1, 6},
/*input_data=*/{1, 2, 3, 4, 5, 6},
/*expected_output_shape=*/{{6}},
/*expected_output_data=*/{{1, 2, 3, 4, 5, 6}});
}

TEST(UnpackOpTest, FloatThreeDimensionsOutputs) {
UnpackOpModel<float> model({TensorType_FLOAT32, {2, 2, 2}}, 2);
model.SetInput({1, 2, 3, 4, 5, 6, 7, 8});
model.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 2);
EXPECT_THAT(output_shapes[0], ElementsAre(2, 2));
EXPECT_THAT(output_shapes[1], ElementsAre(2, 2));

// Check outputs values.
const std::vector<std::vector<float>>& output_datas = model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 2);
EXPECT_THAT(output_datas[0], ElementsAre(1, 3, 5, 7));
EXPECT_THAT(output_datas[1], ElementsAre(2, 4, 6, 8));
Check<float>(/*axis=*/2, /*input_shape=*/{2, 2, 2},
/*input_data=*/{1, 2, 3, 4, 5, 6, 7, 8},
/*expected_output_shape=*/{{2, 2}, {2, 2}},
/*expected_output_data=*/{{1, 3, 5, 7}, {2, 4, 6, 8}});
}

// int32 tests.
TEST(UnpackOpTest, IntThreeOutputs) {
UnpackOpModel<int32_t> model({TensorType_INT32, {3, 2}}, 0);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 3);
EXPECT_THAT(output_shapes[0], ElementsAre(2));
EXPECT_THAT(output_shapes[1], ElementsAre(2));
EXPECT_THAT(output_shapes[2], ElementsAre(2));

// Check outputs values.
const std::vector<std::vector<int32_t>>& output_datas =
model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 3);
EXPECT_THAT(output_datas[0], ElementsAre(1, 2));
EXPECT_THAT(output_datas[1], ElementsAre(3, 4));
EXPECT_THAT(output_datas[2], ElementsAre(5, 6));
Check<int32_t>(/*axis=*/0, /*input_shape=*/{3, 2},
/*input_data=*/{1, 2, 3, 4, 5, 6},
/*expected_output_shape=*/{{2}, {2}, {2}},
/*expected_output_data=*/{{1, 2}, {3, 4}, {5, 6}},
/*type=*/TensorType_INT32);
}

TEST(UnpackOpTest, IntThreeOutputsAxisOne) {
UnpackOpModel<int32_t> model({TensorType_INT32, {3, 2}}, 1);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 2);
EXPECT_THAT(output_shapes[0], ElementsAre(3));
EXPECT_THAT(output_shapes[1], ElementsAre(3));

// Check outputs values.
const std::vector<std::vector<int32_t>>& output_datas =
model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 2);
EXPECT_THAT(output_datas[0], ElementsAre(1, 3, 5));
EXPECT_THAT(output_datas[1], ElementsAre(2, 4, 6));
Check<int32_t>(/*axis=*/1, /*input_shape=*/{3, 2},
/*input_data=*/{1, 2, 3, 4, 5, 6},
/*expected_output_shape=*/{{3}, {3}},
/*expected_output_data=*/{{1, 3, 5}, {2, 4, 6}},
/*type=*/TensorType_INT32);
}

TEST(UnpackOpTest, IntOneOutput) {
UnpackOpModel<int32_t> model({TensorType_INT32, {1, 6}}, 0);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 1);
EXPECT_THAT(output_shapes[0], ElementsAre(6));

// Check outputs values.
const std::vector<std::vector<int32_t>>& output_datas =
model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 1);
EXPECT_THAT(output_datas[0], ElementsAre(1, 2, 3, 4, 5, 6));
Check<int32_t>(/*axis=*/0, /*input_shape=*/{1, 6},
/*input_data=*/{1, 2, 3, 4, 5, 6},
/*expected_output_shape=*/{{6}},
/*expected_output_data=*/{{1, 2, 3, 4, 5, 6}},
/*type=*/TensorType_INT32);
}

TEST(UnpackOpTest, IntThreeDimensionsOutputs) {
UnpackOpModel<int32_t> model({TensorType_INT32, {2, 2, 2}}, 2);
model.SetInput({1, 2, 3, 4, 5, 6, 7, 8});
model.Invoke();

// Check outputs shapes.
const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
EXPECT_EQ(output_shapes.size(), 2);
EXPECT_THAT(output_shapes[0], ElementsAre(2, 2));
EXPECT_THAT(output_shapes[1], ElementsAre(2, 2));

// Check outputs values.
const std::vector<std::vector<int32_t>>& output_datas =
model.GetOutputDatas();
EXPECT_EQ(output_datas.size(), 2);
EXPECT_THAT(output_datas[0], ElementsAre(1, 3, 5, 7));
EXPECT_THAT(output_datas[1], ElementsAre(2, 4, 6, 8));
Check<int32_t>(/*axis=*/2, /*input_shape=*/{2, 2, 2},
/*input_data=*/{1, 2, 3, 4, 5, 6, 7, 8},
/*expected_output_shape=*/{{2, 2}, {2, 2}},
/*expected_output_data=*/{{1, 3, 5, 7}, {2, 4, 6, 8}},
/*type=*/TensorType_INT32);
}

} // namespace
Expand Down