diff options
Diffstat (limited to 'src/armnn/layers')
-rw-r--r-- | src/armnn/layers/TransposeLayer.cpp | 62 | ||||
-rw-r--r-- | src/armnn/layers/TransposeLayer.hpp | 70 |
2 files changed, 132 insertions, 0 deletions
diff --git a/src/armnn/layers/TransposeLayer.cpp b/src/armnn/layers/TransposeLayer.cpp new file mode 100644 index 0000000000..3c22b545b9 --- /dev/null +++ b/src/armnn/layers/TransposeLayer.cpp @@ -0,0 +1,62 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "TransposeLayer.hpp" + +#include "LayerCloneBase.hpp" + +#include <armnn/TypesUtils.hpp> + +#include <armnnUtils/Transpose.hpp> + +#include <backendsCommon/WorkloadData.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +namespace armnn +{ + +TransposeLayer::TransposeLayer(const TransposeDescriptor& param, const char* name) + : LayerWithParameters(1, 1, LayerType::Transpose, param, name) +{ +} + +std::unique_ptr<IWorkload> TransposeLayer::CreateWorkload(const IWorkloadFactory& factory) const +{ + TransposeQueueDescriptor descriptor; + return factory.CreateTranspose(descriptor, PrepInfoAndDesc(descriptor)); +} + +TransposeLayer* TransposeLayer::Clone(Graph& graph) const +{ + return CloneBase<TransposeLayer>(graph, m_Param, GetName()); +} + +std::vector<TensorShape> TransposeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const +{ + BOOST_ASSERT(inputShapes.size() == 1); + const TensorShape& inShape = inputShapes[0]; + return std::vector<TensorShape> ({armnnUtils::TransposeTensorShape(inShape, m_Param.m_DimMappings)}); +} + +void TransposeLayer::ValidateTensorShapesFromInputs() +{ + VerifyLayerConnections(1, CHECK_LOCATION()); + + auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); + + BOOST_ASSERT(inferredShapes.size() == 1); + + ConditionalThrowIfNotEqual<LayerValidationException>( + "TransposeLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", + GetOutputSlot(0).GetTensorInfo().GetShape(), + inferredShapes[0]); +} + +void TransposeLayer::Accept(ILayerVisitor& visitor) const +{ + visitor.VisitTransposeLayer(this, GetParameters(), GetName()); +} + +} // namespace armnn diff --git a/src/armnn/layers/TransposeLayer.hpp b/src/armnn/layers/TransposeLayer.hpp new file mode 100644 index 0000000000..4906bc9412 --- /dev/null +++ b/src/armnn/layers/TransposeLayer.hpp @@ -0,0 +1,70 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include "LayerWithParameters.hpp" + +namespace armnn +{ + +/// This layer represents a transpose operation. +class TransposeLayer : public LayerWithParameters<TransposeDescriptor> +{ +public: + /// Makes a workload for the Transpose type. + /// @param [in] 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; + + /// Creates a dynamically-allocated copy of this layer. + /// @param [in] graph The graph into which this layer is being cloned. + TransposeLayer* Clone(Graph& graph) const override; + + /// Check if the input tensor shape(s) + /// will lead to a valid configuration of @ref TransposeLayer. + void ValidateTensorShapesFromInputs() override; + + /// Infers the output shapes from given input shapes and the permutation vector. + /// @param [in] inputShapes The input shapes layer has. + /// @return A vector to the inferred output shape. + std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override; + + /// @return a permutation vector describing the permutation for the dimensions of the input tensor. + const PermutationVector& GetPermutation() const + { + return m_Param.m_DimMappings; + } + + /// Indicates if the other layer received is inverse of this one. + /// @param [in] other The other layer to be compared with. + /// @return true if other layer is inverse of this false otherwise. + bool IsInverse(const Layer& other) const + { + return (other.GetType() == LayerType::Transpose) && + GetPermutation().IsInverse(boost::polymorphic_downcast<const TransposeLayer*>(&other)->GetPermutation()); + } + + /// Indicates if the other layer received is equal to this one. + /// @param [in] other The other layer to be compare with. + /// @return true if other layer is equal to this false otherwise. + bool IsEqual(const Layer& other) const + { + return (other.GetType() == LayerType::Transpose) && + GetPermutation().IsEqual(boost::polymorphic_downcast<const TransposeLayer*>(&other)->GetPermutation()); + } + + void Accept(ILayerVisitor& visitor) const override; + +protected: + /// Constructor to create a TransposeLayer. + /// @param [in] param TransposeDescriptor to configure the permute operation. + /// @param [in] name Optional name for the layer. + TransposeLayer(const TransposeDescriptor& param, const char* name); + + /// Default destructor + ~TransposeLayer() = default; +}; + +} // namespace |