// // Copyright © 2017 Arm Ltd. All rights reserved. // See LICENSE file in the project root for full license information. // #include "PermuteLayer.hpp" #include "LayerCloneBase.hpp" #include #include #include #include namespace armnn { PermuteLayer::PermuteLayer(const PermuteDescriptor& param, const char* name) : LayerWithParameters(1, 1, LayerType::Permute, param, name) { } std::unique_ptr 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(graph, m_Param, GetName()); } void PermuteLayer::ValidateTensorShapesFromInputs() { ConditionalThrow(GetInputSlot(0).GetConnection() != nullptr, "PermuteLayer: InputSlot must be connected to an OutputSlot"); ConditionalThrow(GetInputSlot(0).GetConnection()->IsTensorInfoSet(), "PermuteLayer: TensorInfo must be set on connected InputSlot."); const TensorInfo& infoIn = GetInputSlot(0).GetConnection()->GetTensorInfo(); TensorShape shapeOut = armnnUtils::Permuted(infoIn.GetShape(), m_Param.m_DimMappings); ConditionalThrowIfNotEqual( "PermuteLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", GetOutputSlot(0).GetTensorInfo().GetShape(), shapeOut); } } // namespace armnn