experiments/STT-tensorflow
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Addressed review comments.

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This commit is contained in:
Elena Zhelezina 2020-04-20 11:59:57 +01:00
parent 0f047cd174
commit 7d76b0ac7f
3 changed files with 8 additions and 8 deletions
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12
tensorflow/lite/kernels/activations.cc
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@ -430,15 +430,15 @@ TfLiteStatus TanhPrepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, output->params.zero_point, 0);
int input_scale_log2_rounded;
bool paramScalePOT =
bool param_scale_pot =
CheckedLog2(input->params.scale, &input_scale_log2_rounded);
data->input_left_shift =
(15 - kInputIntegerBits) + input_scale_log2_rounded;
paramScalePOT &=
param_scale_pot &=
(data->input_left_shift == 0 || data->input_left_shift == 1);
if (!paramScalePOT) {
if (!param_scale_pot) {
// In case of general scale parameter, we need to do a rescaling.
// Magic constant 4096:
// We need to scale down to (-2^3, 2^3) / 3 is kInputIntegerBits/ interval
@ -526,14 +526,14 @@ TfLiteStatus SigmoidPrepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, output->params.zero_point, 0);
int input_scale_log2_rounded;
bool paramScalePOT =
bool param_scale_pot =
CheckedLog2(input->params.scale, &input_scale_log2_rounded);
data->input_left_shift =
(15 - kInputIntegerBits) + input_scale_log2_rounded;
paramScalePOT &= (data->input_left_shift == 0);
param_scale_pot &= (data->input_left_shift == 0);
if (!paramScalePOT) {
if (!param_scale_pot) {
// In case of general scale parameter, we need to do a rescaling.
// Magic constant 4096:
// We need to scale down to (-2^3, 2^3) / 3 is kInputIntegerBits/ interval