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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "StackLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
#include <queue>
namespace armnn
{
StackLayer::StackLayer(const StackDescriptor& param, const char* name)
: LayerWithParameters(param.m_NumInputs, 1, LayerType::Stack, param, name)
{
}
std::unique_ptr<IWorkload> StackLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
{
StackQueueDescriptor descriptor;
return factory.CreateStack(descriptor, PrepInfoAndDesc(descriptor, graph));
}
StackLayer* StackLayer::Clone(Graph& graph) const
{
return CloneBase<StackLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> StackLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
const TensorShape& inputShape = m_Param.m_InputShape;
const unsigned int inputNumDimensions = inputShape.GetNumDimensions();
const unsigned int axis = m_Param.m_Axis;
BOOST_ASSERT(axis <= inputNumDimensions);
unsigned int dimensionSizes[inputNumDimensions + 1];
for (unsigned int i = 0; i < axis; ++i)
{
dimensionSizes[i] = inputShape[i];
}
dimensionSizes[axis] = m_Param.m_NumInputs;
for (unsigned int i = axis + 1; i < inputNumDimensions + 1; ++i)
{
dimensionSizes[i] = inputShape[i-1];
}
TensorShape targetShape = TensorShape(inputNumDimensions + 1, dimensionSizes);
return std::vector<TensorShape>({ targetShape });
}
void StackLayer::ValidateTensorShapesFromInputs()
{
// Validates Stack layer.
ConditionalThrowIfNotEqual<LayerValidationException>(
"StackLayer: Num Input Slots must match Num Inputs.",
m_Param.m_NumInputs,
GetNumInputSlots());
VerifyLayerConnections(m_Param.m_NumInputs, CHECK_LOCATION());
// Constructs and validates input shapes
std::vector<TensorShape> inputShapes;
for (unsigned int i = 0; i < GetNumInputSlots(); ++i)
{
TensorShape inputShape = GetInputSlot(i).GetConnection()->GetTensorInfo().GetShape();
if (inputShape != m_Param.m_InputShape)
{
throw LayerValidationException("StackLayer: TensorShape set on InputSlot[" +
std::to_string(i) +
"] does not match defined input shape");
}
inputShapes.push_back(inputShape);
}
auto inferredShapes = InferOutputShapes(inputShapes);
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"StackLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
void StackLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitStackLayer(this, GetParameters(), GetName());
}
} // namespace armnn armnn
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