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authorGravatar Koan-Sin Tan <koansin.tan@gmail.com>2018-06-14 15:44:56 +0800
committerGravatar Koan-Sin Tan <koansin.tan@gmail.com>2018-06-14 15:44:56 +0800
commite137003e525b73baf68e8228c68e108f3daf1b6e (patch)
tree38bd92749a426149bc91006e0c31ece5446bcc1d /tensorflow/contrib/lite/kernels/select_test.cc
parentc51421c1dbc2a17cd34b2df70fff8ffa4a82216e (diff)
add more fixes
rebase and add more fixes so that ``` bazel test --config opt //tensorflow/contrib/lite/kernels:all ``` will work
Diffstat (limited to 'tensorflow/contrib/lite/kernels/select_test.cc')
-rw-r--r--tensorflow/contrib/lite/kernels/select_test.cc24
1 files changed, 12 insertions, 12 deletions
diff --git a/tensorflow/contrib/lite/kernels/select_test.cc b/tensorflow/contrib/lite/kernels/select_test.cc
index cfe24a5fc9..4664b9acb4 100644
--- a/tensorflow/contrib/lite/kernels/select_test.cc
+++ b/tensorflow/contrib/lite/kernels/select_test.cc
@@ -88,11 +88,11 @@ TEST(SelectOpTest, SelectUInt8) {
TensorType_UINT8);
model.PopulateTensor<bool>(model.input1(), {false, true, false, false});
- model.PopulateTensor<uint8>(model.input2(), {1, 2, 3, 4});
- model.PopulateTensor<uint8>(model.input3(), {5, 6, 7, 8});
+ model.PopulateTensor<uint8_t>(model.input2(), {1, 2, 3, 4});
+ model.PopulateTensor<uint8_t>(model.input3(), {5, 6, 7, 8});
model.Invoke();
- EXPECT_THAT(model.GetOutput<uint8>(), ElementsAreArray({5, 2, 7, 8}));
+ EXPECT_THAT(model.GetOutput<uint8_t>(), ElementsAreArray({5, 2, 7, 8}));
EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({1, 1, 1, 4}));
}
@@ -101,11 +101,11 @@ TEST(SelectOpTest, SelectInt32) {
TensorType_INT32);
model.PopulateTensor<bool>(model.input1(), {false, true, false, false});
- model.PopulateTensor<int32>(model.input2(), {1, 2, 3, 4});
- model.PopulateTensor<int32>(model.input3(), {5, 6, 7, 8});
+ model.PopulateTensor<int32_t>(model.input2(), {1, 2, 3, 4});
+ model.PopulateTensor<int32_t>(model.input3(), {5, 6, 7, 8});
model.Invoke();
- EXPECT_THAT(model.GetOutput<int32>(), ElementsAreArray({5, 2, 7, 8}));
+ EXPECT_THAT(model.GetOutput<int32_t>(), ElementsAreArray({5, 2, 7, 8}));
EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({1, 1, 1, 4}));
}
@@ -113,11 +113,11 @@ TEST(SelectOpTest, RankOneSelectInt32) {
SelectOpModel model({2}, {2, 1, 2, 1}, {2, 1, 2, 1}, TensorType_INT32);
model.PopulateTensor<bool>(model.input1(), {false, true});
- model.PopulateTensor<int32>(model.input2(), {1, 2, 3, 4});
- model.PopulateTensor<int32>(model.input3(), {5, 6, 7, 8});
+ model.PopulateTensor<int32_t>(model.input2(), {1, 2, 3, 4});
+ model.PopulateTensor<int32_t>(model.input3(), {5, 6, 7, 8});
model.Invoke();
- EXPECT_THAT(model.GetOutput<int32>(), ElementsAreArray({5, 6, 3, 4}));
+ EXPECT_THAT(model.GetOutput<int32_t>(), ElementsAreArray({5, 6, 3, 4}));
EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({2, 1, 2, 1}));
}
@@ -125,11 +125,11 @@ TEST(SelectOpTest, RankZeroSelectInt32) {
SelectOpModel model({1}, {1, 2, 2, 1}, {1, 2, 2, 1}, TensorType_INT32);
model.PopulateTensor<bool>(model.input1(), {false});
- model.PopulateTensor<int32>(model.input2(), {1, 2, 3, 4});
- model.PopulateTensor<int32>(model.input3(), {5, 6, 7, 8});
+ model.PopulateTensor<int32_t>(model.input2(), {1, 2, 3, 4});
+ model.PopulateTensor<int32_t>(model.input3(), {5, 6, 7, 8});
model.Invoke();
- EXPECT_THAT(model.GetOutput<int32>(), ElementsAreArray({5, 6, 7, 8}));
+ EXPECT_THAT(model.GetOutput<int32_t>(), ElementsAreArray({5, 6, 7, 8}));
EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({1, 2, 2, 1}));
}