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-rw-r--r--src/armnn/QuantizerVisitor.cpp35
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