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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "AdditionLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backends/WorkloadData.hpp>
#include <backends/WorkloadFactory.hpp>
namespace armnn
{
AdditionLayer::AdditionLayer(const char* name)
: Layer(2, 1, LayerType::Addition, name)
{
}
std::unique_ptr<IWorkload> AdditionLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
{
AdditionQueueDescriptor descriptor;
return factory.CreateAddition(descriptor, PrepInfoAndDesc(descriptor, graph));
}
AdditionLayer* AdditionLayer::Clone(Graph& graph) const
{
return CloneBase<AdditionLayer>(graph, GetName());
}
std::vector<TensorShape> AdditionLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
BOOST_ASSERT(inputShapes.size() == 2);
auto& input0 = inputShapes[0];
auto& input1 = inputShapes[1];
// Get the max of the inputs.
BOOST_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
unsigned int numDims = input0.GetNumDimensions();
std::vector<unsigned int> dims(numDims);
for (unsigned int i = 0; i < numDims; i++)
{
unsigned int dim0 = input0[i];
unsigned int dim1 = input1[i];
// Validates inputs are broadcast compatible.
#if !NDEBUG
if (dim0 != dim1)
{
BOOST_ASSERT_MSG(dim0 == 1 || dim1 == 1, "Dimensions should either match or one should be of size 1.");
}
#endif
dims[i] = std::max(dim0, dim1);
}
return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) });
}
void AdditionLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(2, CHECK_LOCATION());
auto inferredShapes = InferOutputShapes({
GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()
});
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"AdditionLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
} // namespace armnn
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