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-rw-r--r--src/armnn/Graph.cpp14
1 files changed, 9 insertions, 5 deletions
diff --git a/src/armnn/Graph.cpp b/src/armnn/Graph.cpp
index c1cec482b6..8500e529b0 100644
--- a/src/armnn/Graph.cpp
+++ b/src/armnn/Graph.cpp
@@ -603,16 +603,19 @@ void Graph::ConstructErrorMessageForUnconnectedInputs(Layer* const layer,
bool noWeightsAndBias = false;
if ((layer->GetType() == armnn::LayerType::FullyConnected ||
+ layer->GetType() == armnn::LayerType::Convolution2d ||
layer->GetType() == armnn::LayerType::Convolution3d ||
layer->GetType() == armnn::LayerType::DepthwiseConvolution2d) && slotIndex > 0)
{
+ message << std::endl;
+
// If weights are not set and is bias enabled, also check if bias is set
if (slotIndex == 1 && layer->GetNumInputSlots() == 3)
{
const IOutputSlot* biasSource = layer->GetInputSlot(2).GetConnectedOutputSlot();
if (biasSource == NULL)
{
- message << layer->GetName() << " layer weights and bias not set: ";
+ message << "Weights and bias layers not set." << std::endl;
noWeightsAndBias = true;
}
}
@@ -622,11 +625,11 @@ void Graph::ConstructErrorMessageForUnconnectedInputs(Layer* const layer,
{
if (slotIndex == 1)
{
- message << layer->GetName() << " layer weights not set: ";
+ message << "Weights layer not set." << std::endl;
}
else
{
- message << layer->GetName() << " layer bias not set: ";
+ message << "Bias layer not set." << std::endl;
}
}
}
@@ -634,9 +637,10 @@ void Graph::ConstructErrorMessageForUnconnectedInputs(Layer* const layer,
std::string slotString = noWeightsAndBias ? "1 & 2" : std::to_string(slotIndex);
message << "Input slot(s) "
<< slotString
- << " not connected to an output slot on "
+ << " for "
<< GetLayerTypeAsCString(layer->GetType())
- << " layer "
+ << " not connected to an output slot. " << std::endl
+ << "Layer name: "
<< std::quoted(layer->GetName());
throw LayerValidationException(message.str());
}