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path: root/src/backends/tosaCommon/operatorMappings/Conv2dOperator.cpp
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Diffstat (limited to 'src/backends/tosaCommon/operatorMappings/Conv2dOperator.cpp')
-rw-r--r--src/backends/tosaCommon/operatorMappings/Conv2dOperator.cpp10
1 files changed, 5 insertions, 5 deletions
diff --git a/src/backends/tosaCommon/operatorMappings/Conv2dOperator.cpp b/src/backends/tosaCommon/operatorMappings/Conv2dOperator.cpp
index 6fc1678c81..a7af08347a 100644
--- a/src/backends/tosaCommon/operatorMappings/Conv2dOperator.cpp
+++ b/src/backends/tosaCommon/operatorMappings/Conv2dOperator.cpp
@@ -24,21 +24,21 @@ TosaSerializationBasicBlock* ConvertConv2dToTosaOperator(const Layer* layer,
inputNames.emplace_back("input2_");
}
}
+ // If a layer is present then the block will be used for execution, so input and output names need to be
+ // determined using the previous and following layers so the graph is connected correctly.
+ // For validation this doesn't matter.
else
{
- // If a layer is present then the block will be used for execution, so input and output names need to be
- // determined using the previous and following layers so the graph is connected correctly.
- // For validation this doesn't matter.
+ // Get the layer connected to the input slot and determine unique tensor names.
for (uint32_t i = 0; i < inputs.size(); ++i)
{
- // Get the layer connected to the input slot and determine unique layer name.
Layer& connectedLayer = layer->GetInputSlot(i).GetConnectedOutputSlot()->GetOwningLayer();
std::string inputName = GenerateUniqueName(connectedLayer, i);
inputNames.push_back(inputName);
}
- // Get the layer connected to the output slot and determine unique layer name.
+ // Determine unique output tensor name.
outputName = GenerateUniqueOutputName(*layer, 0);
}