diff options
Diffstat (limited to 'src/armnn/QuantizerVisitor.cpp')
-rw-r--r-- | src/armnn/QuantizerVisitor.cpp | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/src/armnn/QuantizerVisitor.cpp b/src/armnn/QuantizerVisitor.cpp index 97a8bc1ad2..c5e203ef86 100644 --- a/src/armnn/QuantizerVisitor.cpp +++ b/src/armnn/QuantizerVisitor.cpp @@ -153,4 +153,39 @@ void QuantizerVisitor::VisitBatchNormalizationLayer(const IConnectableLayer* lay SetQuantizedInputConnections(layer, newLayer); } +void QuantizerVisitor::VisitConvolution2dLayer(const IConnectableLayer* layer, + const Convolution2dDescriptor& convolution2dDescriptor, + const ConstTensor& weights, + const char* name) +{ + std::vector<uint8_t> weightsBacking; + ConstTensor qWeights = CreateQuantizedConst(weights, weightsBacking); + + IConnectableLayer* newLayer = m_QuantizedNetwork->AddConvolution2dLayer(convolution2dDescriptor, + qWeights, + name); + RecordLayer(layer, newLayer); + SetQuantizedInputConnections(layer, newLayer); +} + +void QuantizerVisitor::VisitConvolution2dLayer(const IConnectableLayer* layer, + const Convolution2dDescriptor& convolution2dDescriptor, + const ConstTensor& weights, + const ConstTensor& biases, + const char* name) +{ + std::vector<uint8_t> weightsBacking; + ConstTensor qWeights = CreateQuantizedConst(weights, weightsBacking); + + std::vector<uint8_t> biasesBacking; + ConstTensor qBiases = CreateQuantizedConst(weights, biasesBacking); + + IConnectableLayer* newLayer = m_QuantizedNetwork->AddConvolution2dLayer(convolution2dDescriptor, + qWeights, + qBiases, + name); + RecordLayer(layer, newLayer); + SetQuantizedInputConnections(layer, newLayer); +} + } //namespace armnn |