| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "PermuteLayer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <backendsCommon/WorkloadData.hpp> |
| #include <backendsCommon/WorkloadFactory.hpp> |
| |
| #include <Permute.hpp> |
| |
| namespace armnn |
| { |
| |
| PermuteLayer::PermuteLayer(const PermuteDescriptor& param, const char* name) |
| : LayerWithParameters(1, 1, LayerType::Permute, param, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> PermuteLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const |
| { |
| PermuteQueueDescriptor descriptor; |
| return factory.CreatePermute(descriptor, PrepInfoAndDesc(descriptor, graph)); |
| } |
| |
| PermuteLayer* PermuteLayer::Clone(Graph& graph) const |
| { |
| return CloneBase<PermuteLayer>(graph, m_Param, GetName()); |
| } |
| |
| std::vector<TensorShape> PermuteLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const |
| { |
| BOOST_ASSERT(inputShapes.size() == 1); |
| const TensorShape& inShape = inputShapes[0]; |
| return std::vector<TensorShape> ({armnnUtils::Permuted(inShape, m_Param.m_DimMappings)}); |
| } |
| |
| void PermuteLayer::ValidateTensorShapesFromInputs() |
| { |
| VerifyLayerConnections(1, CHECK_LOCATION()); |
| |
| auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); |
| |
| BOOST_ASSERT(inferredShapes.size() == 1); |
| |
| ConditionalThrowIfNotEqual<LayerValidationException>( |
| "PermuteLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| GetOutputSlot(0).GetTensorInfo().GetShape(), |
| inferredShapes[0]); |
| } |
| |
| void PermuteLayer::Accept(ILayerVisitor& visitor) const |
| { |
| visitor.VisitPermuteLayer(this, GetParameters(), GetName()); |
| } |
| |
| } // namespace armnn |
