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Diffstat (limited to 'src/armnn/layers/MergerLayer.cpp')
| -rw-r--r-- | src/armnn/layers/MergerLayer.cpp | 178 |
1 files changed, 178 insertions, 0 deletions
diff --git a/src/armnn/layers/MergerLayer.cpp b/src/armnn/layers/MergerLayer.cpp new file mode 100644 index 0000000000..065fc86a1b --- /dev/null +++ b/src/armnn/layers/MergerLayer.cpp @@ -0,0 +1,178 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// +#include "MergerLayer.hpp" +#include "LayerCloneBase.hpp" + +#include <armnn/TypesUtils.hpp> +#include <backends/WorkloadData.hpp> +#include <backends/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; + + // copy 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()); +} + +void MergerLayer::ValidateTensorShapesFromInputs() +{ + // Validate Merger layer + ConditionalThrowIfNotEqual<LayerValidationException>( + "MergerLayer: Num Inputs must match num views.", + m_Param.GetNumViews(), + GetNumInputSlots()); + + unsigned int numDims = m_Param.GetNumDimensions(); + for (unsigned int i=0; i<GetNumInputSlots(); i++) + { + auto& inputInfo = GetInputSlot(i).GetConnection()->GetTensorInfo(); + + boost::ignore_unused(inputInfo); + ConditionalThrowIfNotEqual<LayerValidationException>( + "MergerLayer: Num Dimensions must match all inputs.", + numDims, + inputInfo.GetNumDimensions()); + } + + // Find 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 < GetNumInputSlots(); i++) + { + const uint32_t* origin = m_Param.GetViewOrigin(i); + const armnn::TensorShape& shape = GetInputSlot(i).GetConnection()->GetTensorInfo().GetShape(); + 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]); + } + } + + // Check 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"); + } + + // Check that there are no overlaps of views (this would lead to undefined output at those locations). + // Check each pair of views against each other + // (and don't bother to check against self, or check the same pair both ways round) + for (unsigned int a = 0; a < GetNumInputSlots(); a++) + { + const uint32_t* aOrigin = m_Param.GetViewOrigin(a); + const armnn::TensorShape& aShape = GetInputSlot(a).GetConnection()->GetTensorInfo().GetShape(); + for (unsigned int b = 0; b < a; b++) + { + const uint32_t* bOrigin = m_Param.GetViewOrigin(b); + const armnn::TensorShape& bShape = GetInputSlot(b).GetConnection()->GetTensorInfo().GetShape(); + + 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."); + } + } + } + + // Check 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 < GetNumInputSlots(); i++) + { + totalViewsVolume += GetInputSlot(i).GetConnection()->GetTensorInfo().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); + + TensorShape outShape(numDims, extentMax.data()); + ConditionalThrowIfNotEqual<LayerValidationException>( + "MergerLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", + GetOutputSlot(0).GetTensorInfo().GetShape(), + outShape); +} + +} // namespace armnn armnn |