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author | A. Unique TensorFlower <gardener@tensorflow.org> | 2018-05-11 19:38:48 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-05-11 19:41:29 -0700 |
commit | 52e2698ac969a0f82c6ce901f80f04818ca8ac4e (patch) | |
tree | 5b89fa879c61cac2f3b64d5edbf405ad616edde5 /tensorflow/contrib/lite/kernels/kernel_util.cc | |
parent | 84b5938aaee991d6909e16e56c66bf88e8843fbb (diff) |
Making GetInput from kernel_util.h return a pointer to const data.
PiperOrigin-RevId: 196340200
Diffstat (limited to 'tensorflow/contrib/lite/kernels/kernel_util.cc')
-rw-r--r-- | tensorflow/contrib/lite/kernels/kernel_util.cc | 15 |
1 files changed, 9 insertions, 6 deletions
diff --git a/tensorflow/contrib/lite/kernels/kernel_util.cc b/tensorflow/contrib/lite/kernels/kernel_util.cc index 955e8c5764..239b533a17 100644 --- a/tensorflow/contrib/lite/kernels/kernel_util.cc +++ b/tensorflow/contrib/lite/kernels/kernel_util.cc @@ -22,9 +22,12 @@ limitations under the License. namespace tflite { -TfLiteStatus GetQuantizedConvolutionMultipler( - TfLiteContext* context, TfLiteTensor* input, TfLiteTensor* filter, - TfLiteTensor* bias, TfLiteTensor* output, double* multiplier) { +TfLiteStatus GetQuantizedConvolutionMultipler(TfLiteContext* context, + const TfLiteTensor* input, + const TfLiteTensor* filter, + const TfLiteTensor* bias, + TfLiteTensor* output, + double* multiplier) { const double input_product_scale = input->params.scale * filter->params.scale; const double bias_scale = bias->params.scale; const double output_scale = output->params.scale; @@ -87,13 +90,13 @@ void CalculateActivationRangeFloat(TfLiteFusedActivation activation, } } -bool HaveSameShapes(TfLiteTensor* input1, TfLiteTensor* input2) { +bool HaveSameShapes(const TfLiteTensor* input1, const TfLiteTensor* input2) { return TfLiteIntArrayEqual(input1->dims, input2->dims); } TfLiteStatus CalculateShapeForBroadcast(TfLiteContext* context, - TfLiteTensor* input1, - TfLiteTensor* input2, + const TfLiteTensor* input1, + const TfLiteTensor* input2, TfLiteIntArray** output_shape) { int64_t dims1 = NumDimensions(input1); int64_t dims2 = NumDimensions(input2); |