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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-08-24 01:35:27 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-08-24 01:38:38 -0700
commit4969242f7da3fae4780521df3ca9bfe047264f84 (patch)
treed189dbf6716b910d102ca1932923c7b69fde230c /tensorflow/contrib/lite/kernels/unpack_test.cc
parent70ef6c3e50037b39f2c033317721eef1cbde2004 (diff)
fix unpack test.
PiperOrigin-RevId: 210067817
Diffstat (limited to 'tensorflow/contrib/lite/kernels/unpack_test.cc')
-rw-r--r--tensorflow/contrib/lite/kernels/unpack_test.cc20
1 files changed, 12 insertions, 8 deletions
diff --git a/tensorflow/contrib/lite/kernels/unpack_test.cc b/tensorflow/contrib/lite/kernels/unpack_test.cc
index 96a20ac21b..4efc92a0fd 100644
--- a/tensorflow/contrib/lite/kernels/unpack_test.cc
+++ b/tensorflow/contrib/lite/kernels/unpack_test.cc
@@ -140,7 +140,7 @@ TEST(UnpackOpTest, FloatThreeDimensionsOutputs) {
// int32 tests.
TEST(UnpackOpTest, IntThreeOutputs) {
- UnpackOpModel<int32> model({TensorType_INT32, {3, 2}}, 0);
+ UnpackOpModel<int32_t> model({TensorType_INT32, {3, 2}}, 0);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();
@@ -152,7 +152,8 @@ TEST(UnpackOpTest, IntThreeOutputs) {
EXPECT_THAT(output_shapes[2], ElementsAre(2));
// Check outputs values.
- const std::vector<std::vector<int32>>& output_datas = model.GetOutputDatas();
+ 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));
@@ -160,7 +161,7 @@ TEST(UnpackOpTest, IntThreeOutputs) {
}
TEST(UnpackOpTest, IntThreeOutputsAxisOne) {
- UnpackOpModel<int32> model({TensorType_INT32, {3, 2}}, 1);
+ UnpackOpModel<int32_t> model({TensorType_INT32, {3, 2}}, 1);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();
@@ -171,14 +172,15 @@ TEST(UnpackOpTest, IntThreeOutputsAxisOne) {
EXPECT_THAT(output_shapes[1], ElementsAre(3));
// Check outputs values.
- const std::vector<std::vector<int32>>& output_datas = model.GetOutputDatas();
+ 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));
}
TEST(UnpackOpTest, IntOneOutput) {
- UnpackOpModel<int32> model({TensorType_INT32, {1, 6}}, 0);
+ UnpackOpModel<int32_t> model({TensorType_INT32, {1, 6}}, 0);
model.SetInput({1, 2, 3, 4, 5, 6});
model.Invoke();
@@ -188,13 +190,14 @@ TEST(UnpackOpTest, IntOneOutput) {
EXPECT_THAT(output_shapes[0], ElementsAre(6));
// Check outputs values.
- const std::vector<std::vector<int32>>& output_datas = model.GetOutputDatas();
+ 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));
}
TEST(UnpackOpTest, IntThreeDimensionsOutputs) {
- UnpackOpModel<int32> model({TensorType_INT32, {2, 2, 2}}, 2);
+ UnpackOpModel<int32_t> model({TensorType_INT32, {2, 2, 2}}, 2);
model.SetInput({1, 2, 3, 4, 5, 6, 7, 8});
model.Invoke();
@@ -205,7 +208,8 @@ TEST(UnpackOpTest, IntThreeDimensionsOutputs) {
EXPECT_THAT(output_shapes[1], ElementsAre(2, 2));
// Check outputs values.
- const std::vector<std::vector<int32>>& output_datas = model.GetOutputDatas();
+ 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));