diff options
Diffstat (limited to 'src/armnn/layers')
-rw-r--r-- | src/armnn/layers/ChannelShuffleLayer.cpp | 54 | ||||
-rw-r--r-- | src/armnn/layers/ChannelShuffleLayer.hpp | 37 |
2 files changed, 91 insertions, 0 deletions
diff --git a/src/armnn/layers/ChannelShuffleLayer.cpp b/src/armnn/layers/ChannelShuffleLayer.cpp new file mode 100644 index 0000000000..a3b85f1ba7 --- /dev/null +++ b/src/armnn/layers/ChannelShuffleLayer.cpp @@ -0,0 +1,54 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ChannelShuffleLayer.hpp" + +#include "LayerCloneBase.hpp" + +#include <armnn/TypesUtils.hpp> + +#include <backendsCommon/Workload.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +namespace armnn +{ +ChannelShuffleLayer::ChannelShuffleLayer(const ChannelShuffleDescriptor& param, const char* name) +: LayerWithParameters(1, 1, LayerType::ChannelShuffle, param, name) +{ +} + +std::unique_ptr<IWorkload> ChannelShuffleLayer::CreateWorkload(const IWorkloadFactory &factory) const +{ + ChannelShuffleQueueDescriptor descriptor; + SetAdditionalInfo(descriptor); + + return factory.CreateChannelShuffle(descriptor, PrepInfoAndDesc(descriptor)); +} + +ChannelShuffleLayer* ChannelShuffleLayer::Clone(Graph& graph) const +{ + return CloneBase<ChannelShuffleLayer>(graph, m_Param, GetName()); +} + +void ChannelShuffleLayer::ValidateTensorShapesFromInputs() +{ + VerifyLayerConnections(1, CHECK_LOCATION()); + + const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); + + VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); + + auto inferredShapes = Layer::InferOutputShapes({GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); + + ARMNN_ASSERT(inferredShapes.size() == 1); + + ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ChannelShuffleLayer"); +} +void ChannelShuffleLayer::Accept(ILayerVisitor& visitor) const +{ + IgnoreUnused(visitor); + throw armnn::Exception("ChannelShuffleLayer: VisitChannelShuffleLayer is not implemented"); +} +}
\ No newline at end of file diff --git a/src/armnn/layers/ChannelShuffleLayer.hpp b/src/armnn/layers/ChannelShuffleLayer.hpp new file mode 100644 index 0000000000..399b651f5e --- /dev/null +++ b/src/armnn/layers/ChannelShuffleLayer.hpp @@ -0,0 +1,37 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include "LayerWithParameters.hpp" + +namespace armnn +{ +class ChannelShuffleLayer : public LayerWithParameters<ChannelShuffleDescriptor> +{ +public: + void Accept(ILayerVisitor& visitor) const override; + + /// Creates a dynamically-allocated copy of this layer. + /// @param graph The graph into which this layer is being cloned + ChannelShuffleLayer* Clone(Graph& graph) const override; + + /// Makes a workload for the ChannelShuffle type. + /// @param factory The workload factory which will create the workload + /// @return A pointer to the created workload, or nullptr if not created. + virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override; + + /// Check if the input tensor shape(s) + /// will lead to a valid configuration of @ref ChannelShuffleLayer. + /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated. + void ValidateTensorShapesFromInputs() override; + + // TODO Do you need to create an InferOutputShapes function for ChannelShuffle? +protected: + ChannelShuffleLayer(const ChannelShuffleDescriptor& param, const char* name); + + ~ChannelShuffleLayer() = default; +}; + +} // namespace
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