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author | Simon Obute <simon.obute@arm.com> | 2021-09-03 15:50:13 +0100 |
---|---|---|
committer | Teresa Charlin <teresa.charlinreyes@arm.com> | 2021-09-24 16:06:30 +0100 |
commit | 51f67776a695c217a32596af806afeeb080f5528 (patch) | |
tree | 33ccfd87ba365bcc6fc86d5a2181991a130b3061 /src/armnn | |
parent | f10b15a8946f39bdf3f60cebc59d2963069eedca (diff) | |
download | armnn-51f67776a695c217a32596af806afeeb080f5528.tar.gz |
IVGCVSW-3705 Add Channel Shuffle Front end and Ref Implementation
* Add front end
* Add reference workload
* Add unit tests
* Add Serializer and Deserializer
* Update ArmNN Versioning
Signed-off-by: Simon Obute <simon.obute@arm.com>
Change-Id: I9ac1f953af3974382eac8e8d62d794d2344e8f47
Diffstat (limited to 'src/armnn')
-rw-r--r-- | src/armnn/BackendHelper.cpp | 10 | ||||
-rw-r--r-- | src/armnn/LayersFwd.hpp | 2 | ||||
-rw-r--r-- | src/armnn/Network.cpp | 11 | ||||
-rw-r--r-- | src/armnn/Network.hpp | 3 | ||||
-rw-r--r-- | src/armnn/SerializeLayerParameters.cpp | 7 | ||||
-rw-r--r-- | src/armnn/SerializeLayerParameters.hpp | 5 | ||||
-rw-r--r-- | src/armnn/layers/ChannelShuffleLayer.cpp | 54 | ||||
-rw-r--r-- | src/armnn/layers/ChannelShuffleLayer.hpp | 37 |
8 files changed, 129 insertions, 0 deletions
diff --git a/src/armnn/BackendHelper.cpp b/src/armnn/BackendHelper.cpp index 594d76916c..c17d076955 100644 --- a/src/armnn/BackendHelper.cpp +++ b/src/armnn/BackendHelper.cpp @@ -206,6 +206,16 @@ bool LayerSupportHandle::IsCastSupported(const TensorInfo& input, return m_LayerSupport->IsCastSupported(input, output, reasonIfUnsupported.value()); } +bool LayerSupportHandle::IsChannelShuffleSupported(const TensorInfo &input, const TensorInfo &output, + const ChannelShuffleDescriptor &descriptor, + Optional<std::string &> reasonIfUnsupported) +{ + return m_LayerSupport->IsChannelShuffleSupported(input, + output, + descriptor, + reasonIfUnsupported.value()); +} + bool LayerSupportHandle::IsComparisonSupported(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, diff --git a/src/armnn/LayersFwd.hpp b/src/armnn/LayersFwd.hpp index e3ae23cf40..6f39ca0508 100644 --- a/src/armnn/LayersFwd.hpp +++ b/src/armnn/LayersFwd.hpp @@ -12,6 +12,7 @@ #include "layers/BatchNormalizationLayer.hpp" #include "layers/BatchToSpaceNdLayer.hpp" #include "layers/CastLayer.hpp" +#include "layers/ChannelShuffleLayer.hpp" #include "layers/ComparisonLayer.hpp" #include "layers/ConcatLayer.hpp" #include "layers/ConstantLayer.hpp" @@ -109,6 +110,7 @@ DECLARE_LAYER(ArgMinMax) DECLARE_LAYER(BatchNormalization) DECLARE_LAYER(BatchToSpaceNd) DECLARE_LAYER(Cast) +DECLARE_LAYER(ChannelShuffle) DECLARE_LAYER(Comparison) DECLARE_LAYER(Concat) DECLARE_LAYER(Constant) diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp index db7b4c9bb3..84097176e7 100644 --- a/src/armnn/Network.cpp +++ b/src/armnn/Network.cpp @@ -512,6 +512,12 @@ IConnectableLayer* INetwork::AddUnidirectionalSequenceLstmLayer( return pNetworkImpl->AddUnidirectionalSequenceLstmLayer(descriptor, params, name); } +IConnectableLayer* INetwork::AddChannelShuffleLayer(const ChannelShuffleDescriptor &descriptor, + const char* name) +{ + return pNetworkImpl->AddChannelShuffleLayer(descriptor, name); +} + void INetwork::Accept(ILayerVisitor& visitor) const { return pNetworkImpl->Accept(visitor); @@ -1817,6 +1823,11 @@ IConnectableLayer* NetworkImpl::AddCastLayer(const char* name) { return m_Graph->AddLayer<CastLayer>(name); } +IConnectableLayer* NetworkImpl::AddChannelShuffleLayer(const ChannelShuffleDescriptor& channelShuffleDescriptor, + const char* name) +{ + return m_Graph->AddLayer<ChannelShuffleLayer>(channelShuffleDescriptor, name); +} IConnectableLayer* NetworkImpl::AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, const char* name) diff --git a/src/armnn/Network.hpp b/src/armnn/Network.hpp index c22c865e3b..67c5b5af52 100644 --- a/src/armnn/Network.hpp +++ b/src/armnn/Network.hpp @@ -64,6 +64,9 @@ public: IConnectableLayer* AddCastLayer(const char* name = nullptr); + IConnectableLayer* AddChannelShuffleLayer(const ChannelShuffleDescriptor& channelShuffleDescriptor, + const char* name = nullptr); + IConnectableLayer* AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, const char* name = nullptr); diff --git a/src/armnn/SerializeLayerParameters.cpp b/src/armnn/SerializeLayerParameters.cpp index 16ffb8fd5d..73e0cbce78 100644 --- a/src/armnn/SerializeLayerParameters.cpp +++ b/src/armnn/SerializeLayerParameters.cpp @@ -62,6 +62,13 @@ void StringifyLayerParameters<BatchToSpaceNdDescriptor>::Serialize(ParameterStri fn("DataLayout", GetDataLayoutName(desc.m_DataLayout)); } +void StringifyLayerParameters<ChannelShuffleDescriptor>::Serialize(ParameterStringifyFunction& fn, + const ChannelShuffleDescriptor& desc) +{ + fn("Axis", std::to_string(desc.m_Axis)); + fn("NumGroups", std::to_string(desc.m_NumGroups)); +} + void StringifyLayerParameters<ComparisonDescriptor>::Serialize(ParameterStringifyFunction& fn, const ComparisonDescriptor& desc) { diff --git a/src/armnn/SerializeLayerParameters.hpp b/src/armnn/SerializeLayerParameters.hpp index 9c5b82651c..f8fe5e2992 100644 --- a/src/armnn/SerializeLayerParameters.hpp +++ b/src/armnn/SerializeLayerParameters.hpp @@ -40,6 +40,11 @@ template <> struct StringifyLayerParameters<BatchToSpaceNdDescriptor> static void Serialize(ParameterStringifyFunction& fn, const BatchToSpaceNdDescriptor& desc); }; +template <> struct StringifyLayerParameters<ChannelShuffleDescriptor> +{ + static void Serialize(ParameterStringifyFunction& fn, const ChannelShuffleDescriptor& desc); +}; + template <> struct StringifyLayerParameters<ComparisonDescriptor> { static void Serialize(ParameterStringifyFunction& fn, const ComparisonDescriptor& desc); 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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