Making GetInput from kernel_util.h return a pointer to const data.

PiperOrigin-RevId: 196340200

1 files changed, 10 insertions, 10 deletions

diff --git a/tensorflow/contrib/lite/kernels/depthwise_conv.cc b/tensorflow/contrib/lite/kernels/depthwise_conv.cc
index eeda1bc3c5..3ad8d7d4e1 100644
--- a/tensorflow/contrib/lite/kernels/depthwise_conv.cc
+++ b/tensorflow/contrib/lite/kernels/depthwise_conv.cc
@@ -83,9 +83,9 @@ TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
   bool hasBias = NumInputs(node) == 3;
 
   TF_LITE_ENSURE(context, hasBias || NumInputs(node) == 2);
-  TfLiteTensor* input = GetInput(context, node, kInputTensor);
-  TfLiteTensor* filter = GetInput(context, node, kFilterTensor);
-  TfLiteTensor* bias = nullptr;
+  const TfLiteTensor* input = GetInput(context, node, kInputTensor);
+  const TfLiteTensor* filter = GetInput(context, node, kFilterTensor);
+  const TfLiteTensor* bias = nullptr;
 
   TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
   TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
@@ -169,8 +169,8 @@ TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
 template <KernelType kernel_type>
 void EvalFloat(TfLiteContext* context, TfLiteNode* node,
                TfLiteDepthwiseConvParams* params, OpData* data,
-               TfLiteTensor* input, TfLiteTensor* filter, TfLiteTensor* bias,
-               TfLiteTensor* output) {
+               const TfLiteTensor* input, const TfLiteTensor* filter,
+               const TfLiteTensor* bias, TfLiteTensor* output) {
   float output_activation_min, output_activation_max;
   CalculateActivationRangeFloat(params->activation, &output_activation_min,
                                 &output_activation_max);
@@ -196,8 +196,8 @@ void EvalFloat(TfLiteContext* context, TfLiteNode* node,
 template <KernelType kernel_type>
 void EvalQuantized(TfLiteContext* context, TfLiteNode* node,
                    TfLiteDepthwiseConvParams* params, OpData* data,
-                   TfLiteTensor* input, TfLiteTensor* filter,
-                   TfLiteTensor* bias, TfLiteTensor* output) {
+                   const TfLiteTensor* input, const TfLiteTensor* filter,
+                   const TfLiteTensor* bias, TfLiteTensor* output) {
   auto input_offset = -input->params.zero_point;
   auto filter_offset = -filter->params.zero_point;
   auto output_offset = output->params.zero_point;
@@ -230,9 +230,9 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
   OpData* data = reinterpret_cast<OpData*>(node->user_data);
 
   TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
-  TfLiteTensor* input = GetInput(context, node, kInputTensor);
-  TfLiteTensor* filter = GetInput(context, node, kFilterTensor);
-  TfLiteTensor* bias =
+  const TfLiteTensor* input = GetInput(context, node, kInputTensor);
+  const TfLiteTensor* filter = GetInput(context, node, kFilterTensor);
+  const TfLiteTensor* bias =
       (NumInputs(node) == 3) ? GetInput(context, node, kBiasTensor) : nullptr;
 
   // TODO(aselle): Consider whether float conv and quantized conv should be