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Diffstat (limited to 'src/armnn/layers/ChannelShuffleLayer.hpp')
-rw-r--r-- | src/armnn/layers/ChannelShuffleLayer.hpp | 37 |
1 files changed, 37 insertions, 0 deletions
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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