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//
// Copyright © 2017-2018,2020-2021,2023-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ElementwiseBaseLayer.hpp"
#include "InternalTypes.hpp"
#include "armnn/Exceptions.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/utility/Assert.hpp>
namespace armnn
{
ElementwiseBaseLayer::ElementwiseBaseLayer(unsigned int numInputSlots,
unsigned int numOutputSlots,
LayerType type,
const char* name)
: Layer(numInputSlots, numOutputSlots, type, name)
{}
std::vector<TensorShape> ElementwiseBaseLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
if (inputShapes.size() != 2)
{
throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
"\" - should be \"2\".");
}
TensorShape input0 = inputShapes[0];
TensorShape input1 = inputShapes[1];
if (inputShapes[0].GetNumDimensions() < inputShapes[1].GetNumDimensions())
{
input1 = inputShapes[0];
input0 = inputShapes[1];
}
unsigned int numDims = input0.GetNumDimensions();
unsigned int shiftedDims = input0.GetNumDimensions() - input1.GetNumDimensions();
// Get the max of the inputs.
std::vector<unsigned int> dims(numDims);
for (unsigned int i = shiftedDims; i < numDims; i++)
{
unsigned int dim0 = input0[i];
unsigned int dim1 = input1[i - shiftedDims];
// Validate inputs are broadcast compatible.
if (dim0 != dim1 && dim0 != 1 && dim1 != 1)
{
throw armnn::Exception("Dimensions should either match or one should be of size 1.");
}
dims[i] = std::max(dim0, dim1);
}
// Fill in the rest of the shifted dimensions.
for (unsigned int i = 0; i < shiftedDims; i++)
{
dims[i] = input0[i];
}
return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) });
}
void ElementwiseBaseLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(2, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape(),
GetInputSlot(1).GetTensorInfo().GetShape() });
if (inferredShapes.size() != 1)
{
throw armnn::LayerValidationException("inferredShapes has "
+ std::to_string(inferredShapes.size()) +
" elements - should only have 1.");
}
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType()));
}
void ElementwiseBaseLayer::ExecuteStrategy(IStrategy& strategy) const
{
strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName());
}
} // namespace armnn
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