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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-05-11 19:38:48 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-05-11 19:41:29 -0700
commit52e2698ac969a0f82c6ce901f80f04818ca8ac4e (patch)
tree5b89fa879c61cac2f3b64d5edbf405ad616edde5 /tensorflow/contrib/lite/kernels/select.cc
parent84b5938aaee991d6909e16e56c66bf88e8843fbb (diff)
Making GetInput from kernel_util.h return a pointer to const data.
PiperOrigin-RevId: 196340200
Diffstat (limited to 'tensorflow/contrib/lite/kernels/select.cc')
-rw-r--r--tensorflow/contrib/lite/kernels/select.cc12
1 files changed, 6 insertions, 6 deletions
diff --git a/tensorflow/contrib/lite/kernels/select.cc b/tensorflow/contrib/lite/kernels/select.cc
index 029ad9a709..9bc8a1a34a 100644
--- a/tensorflow/contrib/lite/kernels/select.cc
+++ b/tensorflow/contrib/lite/kernels/select.cc
@@ -33,10 +33,10 @@ TfLiteStatus SelectPrepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 3);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
- TfLiteTensor* input_condition =
+ const TfLiteTensor* input_condition =
GetInput(context, node, kInputTensorCondition);
- TfLiteTensor* input_x = GetInput(context, node, kInputTensorX);
- TfLiteTensor* input_y = GetInput(context, node, kInputTensorY);
+ const TfLiteTensor* input_x = GetInput(context, node, kInputTensorX);
+ const TfLiteTensor* input_y = GetInput(context, node, kInputTensorY);
TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
// Input must be bool.
@@ -62,10 +62,10 @@ TfLiteStatus SelectPrepare(TfLiteContext* context, TfLiteNode* node) {
}
TfLiteStatus SelectEval(TfLiteContext* context, TfLiteNode* node) {
- TfLiteTensor* input_condition =
+ const TfLiteTensor* input_condition =
GetInput(context, node, kInputTensorCondition);
- TfLiteTensor* input_x = GetInput(context, node, kInputTensorX);
- TfLiteTensor* input_y = GetInput(context, node, kInputTensorY);
+ const TfLiteTensor* input_x = GetInput(context, node, kInputTensorX);
+ const TfLiteTensor* input_y = GetInput(context, node, kInputTensorY);
TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
bool is_rank_one = !HaveSameShapes(input_condition, input_x);