diff options
Diffstat (limited to 'src/armnn/Graph.cpp')
-rw-r--r-- | src/armnn/Graph.cpp | 47 |
1 files changed, 41 insertions, 6 deletions
diff --git a/src/armnn/Graph.cpp b/src/armnn/Graph.cpp index 7b6f56f8b8..60bf328c9c 100644 --- a/src/armnn/Graph.cpp +++ b/src/armnn/Graph.cpp @@ -526,6 +526,33 @@ void Graph::EraseSubgraphLayers(SubgraphView &subgraph) subgraph.Clear(); } +/// For each ConstantLayer in Graph, ensures TensorInfo is set on all output slots. +/// LayerValidationException thrown if no TensorInfo is set. +/// +/// @throws LayerValidationException +void Graph::VerifyConstantLayerSetTensorInfo() const +{ + for (auto&& layer : TopologicalSort()) + { + if(layer->GetType() == armnn::LayerType::Constant) + { + for (auto&& output: layer->GetOutputSlots()) + { + if (!output.IsTensorInfoSet()) + { + std::ostringstream message; + message << "Output slot TensorInfo not set on " + << GetLayerTypeAsCString(layer->GetType()) + << " layer \"" + << layer->GetName() + << "\""; + throw LayerValidationException(message.str()); + } + } + } + } +} + void Graph::InferTensorInfos() { for (auto&& layer : TopologicalSort()) @@ -536,7 +563,9 @@ void Graph::InferTensorInfos() if (source == NULL) { std::ostringstream message; - message << "Input not connected on " + message << "Input slot " + << input.GetSlotIndex() + << " not connected to an output slot on " << GetLayerTypeAsCString(layer->GetType()) << " layer \"" << layer->GetName() @@ -546,13 +575,19 @@ void Graph::InferTensorInfos() if (!source->IsTensorInfoSet()) { - throw LayerValidationException("All inputs must have the TensorInfo set at this point."); + std::ostringstream message; + message << "Output slot TensorInfo not set on " + << GetLayerTypeAsCString(layer->GetType()) + << " layer \"" + << layer->GetName() + << "\""; + throw LayerValidationException(message.str()); } + } - if (layer->m_ShapeInferenceMethod == ShapeInferenceMethod::ValidateOnly) - { - layer->ValidateTensorShapesFromInputs(); - } + if (layer->m_ShapeInferenceMethod == ShapeInferenceMethod::ValidateOnly) + { + layer->ValidateTensorShapesFromInputs(); } } } |