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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "MergerLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
#include <queue>
namespace armnn
{
MergerLayer::MergerLayer(const OriginsDescriptor& param, const char* name)
: LayerWithParameters(param.GetNumViews(), 1, LayerType::Merger, param, name)
{
}
std::unique_ptr<IWorkload> MergerLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
{
MergerQueueDescriptor descriptor;
// Copies the view origins to the descriptor.
descriptor.m_ViewOrigins.reserve(m_Param.GetNumViews());
for (unsigned int i = 0; i < m_Param.GetNumViews(); ++i)
{
descriptor.m_ViewOrigins.emplace_back(
std::vector<unsigned int>(m_Param.GetViewOrigin(i), m_Param.GetViewOrigin(i) + m_Param.GetNumDimensions()));
}
return factory.CreateMerger(descriptor, PrepInfoAndDesc(descriptor, graph));
}
void MergerLayer::CreateTensorHandles(Graph& graph, const IWorkloadFactory& factory)
{
//If sub tensors are supported than the merger
//just needs to make sure that the outputs of the prev layer
//are made subtensors of the output of the merger layer.
m_OutputHandlers[0].CreateTensorHandles(factory);
if (factory.SupportsSubTensors())
{
std::queue<MergerLayer*> m_MergerLayers;
m_MergerLayers.push(this);
while (!m_MergerLayers.empty())
{
MergerLayer* currentLayer = m_MergerLayers.front();
ITensorHandle* parentTensor = currentLayer->GetOutputHandler(0).GetData();
m_MergerLayers.pop();
const unsigned int numInputSlots = currentLayer->GetNumInputSlots();
for (unsigned int i = 0; i < numInputSlots; ++i)
{
OutputSlot* slot = currentLayer->GetInputSlot(i).GetConnectedOutputSlot();
OutputHandler& outputHandler = slot->GetOutputHandler();
outputHandler.SetData(factory.CreateSubTensorHandle(*parentTensor,
outputHandler.GetTensorInfo().GetShape(),
currentLayer->m_Param.GetViewOrigin(i)));
Layer& inputLayer = slot->GetOwningLayer();
if (inputLayer.GetType() == LayerType::Merger)
{
m_MergerLayers.push(boost::polymorphic_downcast<MergerLayer*>(&inputLayer));
}
}
}
}
}
MergerLayer* MergerLayer::Clone(Graph& graph) const
{
return CloneBase<MergerLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> MergerLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
BOOST_ASSERT(inputShapes.size() == m_Param.GetNumViews());
unsigned int numDims = m_Param.GetNumDimensions();
for (unsigned int i=0; i< inputShapes.size(); i++)
{
auto& inputShape = inputShapes[i];
ConditionalThrowIfNotEqual<LayerValidationException>(
"MergerLayer: Num Dimensions must match all inputs.",
numDims,
inputShape.GetNumDimensions());
}
// Finds the bounding box (extents) of all the views.
std::vector<unsigned int> extentMin(numDims);
std::vector<unsigned int> extentMax(numDims);
for (unsigned int i = 0; i < inputShapes.size(); i++)
{
const uint32_t* origin = m_Param.GetViewOrigin(i);
const armnn::TensorShape& shape = inputShapes[i];
for (unsigned int d = 0; d < numDims; d++)
{
extentMin[d] = std::min(extentMin[d], origin[d]);
extentMax[d] = std::max(extentMax[d], origin[d] + shape[d]);
}
}
// Checks that the bounding box starts at the origin.
if (!std::all_of(extentMin.begin(), extentMin.end(), [](unsigned int s) { return s == 0; }))
{
throw LayerValidationException("MergerLayer: there is no view that starts at the origin");
}
// Checks that there are no overlaps of views (this would lead to undefined output at those locations).
// Checks each pair of views against each other
// (and doesn't bother to check against self, or check the same pair both ways round).
for (unsigned int a = 0; a < inputShapes.size(); a++)
{
const uint32_t* aOrigin = m_Param.GetViewOrigin(a);
const armnn::TensorShape& aShape = inputShapes[a];
for (unsigned int b = 0; b < a; b++)
{
const uint32_t* bOrigin = m_Param.GetViewOrigin(b);
const armnn::TensorShape& bShape = inputShapes[b];
bool allAxesOverlap = true;
for (unsigned int d = 0; d < numDims && allAxesOverlap; d++)
{
unsigned int a1 = aOrigin[d];
unsigned int a2 = aOrigin[d] + aShape[d];
unsigned int b1 = bOrigin[d];
unsigned int b2 = bOrigin[d] + bShape[d];
if (a2 <= b1 || b2 <= a1)
{
allAxesOverlap = false;
}
}
if (allAxesOverlap)
{
throw LayerValidationException("MergerLayer: Some views overlap.");
}
}
}
// Checks that there are no "holes", i.e. regions of the output which is not covered by a view.
// Because we already checked that there are no overlaps, this can be done simply by checking that
// the total 'volume' of the views is the same as the output.
unsigned int totalViewsVolume = 0;
for (unsigned int i = 0; i < inputShapes.size(); i++)
{
totalViewsVolume += inputShapes[i].GetNumElements();
}
unsigned int outputVolume = 1;
for (unsigned int d = 0; d < numDims; d++)
{
outputVolume *= (extentMax[d] - extentMin[d]);
}
ConditionalThrowIfNotEqual<LayerValidationException>(
"MergerLayer: there are some gaps between views",
totalViewsVolume,
outputVolume);
return std::vector<TensorShape>({ TensorShape({numDims, extentMax.data()}) });
}
void MergerLayer::ValidateTensorShapesFromInputs()
{
// Validates Merger layer.
ConditionalThrowIfNotEqual<LayerValidationException>(
"MergerLayer: Num Inputs must match num views.",
m_Param.GetNumViews(),
GetNumInputSlots());
VerifyLayerConnections(m_Param.GetNumViews(), CHECK_LOCATION());
std::vector<TensorShape> inputShapes;
for (uint i = 0; i < GetNumInputSlots(); ++i)
{
inputShapes.push_back(GetInputSlot(i).GetConnection()->GetTensorInfo().GetShape());
}
auto inferredShapes = InferOutputShapes(inputShapes);
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"MergerLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
} // namespace armnn armnn
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