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Exclude wrong changes

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This commit is contained in:
Mikhail Ryzhov 2023-04-18 18:02:53 +02:00
parent 30dd9aef86
commit 6d87c40703
2 changed files with 0 additions and 8 deletions
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4
src/plugins/intel_gna/src/frontend/layer_quantizer.cpp
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@ -89,11 +89,7 @@ size_t LayerQuantizer::GetBiasSizeForLayer(InferenceEngine::WeightableLayer& wl)
return wl._biases->size();
} else if (LayerInfo(wl).isConvolution()) {
// Calculating biases len using outdata dims: biases number should be equal to output channels number
#ifndef DEBUG_USE_NEW_PASS
return InferenceEngine::GetDataDimByName(wl.outData.front(), InferenceEngine::DataDimName::C);
#else
return InferenceEngine::GetDataDimSizeNHWC(wl.outData.front(), InferenceEngine::DataDimName::C);
#endif
} else {
// Calculating biases size using outData dimensions
return wl.outData.front()->getDims().back();

4
src/plugins/intel_gna/src/frontend/scale_factor_calc.cpp
View File

@ -1262,11 +1262,7 @@ bool ScaleFactorCalculator::ScaleFactorPerLayerWeightable(InferenceEngine::Weigh
double weights_reducer = 1.0;
auto conv = dynamic_cast<InferenceEngine::ConvolutionLayer*>(wl);
if (conv && !LayerInfo(conv).isConvolutionFilter()) {
#ifndef DEBUG_USE_NEW_PASS
const auto inDepth = GetDataDimByName(conv->insData.front().lock(), InferenceEngine::DataDimName::C);
#else
const auto inDepth = GetDataDimSizeNHWC(conv->insData.front().lock(), InferenceEngine::DataDimName::C);
#endif
weights_reducer = gna_convolution_layer::getWeightsReducer(*conv);
weights_reducer *= MAX_VAL_2B_FEAT * scaleRange * inDepth / std::numeric_limits<int32_t>::max();
weights_reducer = std::max(1.0, weights_reducer);