Use the same convention for the scale parameter in hybrid ops as well.

PiperOrigin-RevId: 202698287

1 files changed, 3 insertions, 2 deletions

diff --git a/tensorflow/contrib/lite/kernels/svdf.cc b/tensorflow/contrib/lite/kernels/svdf.cc
index 43ac3a2ce8..22eebdd4ce 100644
--- a/tensorflow/contrib/lite/kernels/svdf.cc
+++ b/tensorflow/contrib/lite/kernels/svdf.cc
@@ -382,11 +382,12 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
       // the Eval function.
       // TODO(alanchiao): refactor logic out into dequantize function.
       if (!op_data->float_weights_time_initialized) {
-        const float inv_scale = 1.0 / weights_time->params.scale;
+        const float dequantization_scale = weights_time->params.scale;
         const int8_t* weights_time_ptr =
             reinterpret_cast<int8_t*>(weights_time->data.uint8);
         for (int i = 0; i < NumElements(float_weights_time); ++i) {
-          float_weights_time->data.f[i] = weights_time_ptr[i] * inv_scale;
+          float_weights_time->data.f[i] =
+              weights_time_ptr[i] * dequantization_scale;
         }
         op_data->float_weights_time_initialized = true;
       }