| // |
| // Copyright © 2019 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "StandInLayer.hpp" |
| #include "LayerCloneBase.hpp" |
| |
| namespace armnn |
| { |
| |
| StandInLayer::StandInLayer(const StandInDescriptor& param, const char* name) |
| : LayerWithParameters(param.m_NumInputs, param.m_NumOutputs, LayerType::StandIn, param, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> StandInLayer::CreateWorkload(const IWorkloadFactory& factory) const |
| { |
| IgnoreUnused(factory); |
| // This throws in the event that it's called. We would expect that any backend that |
| // "claims" to support the StandInLayer type would actually substitute it with a PrecompiledLayer |
| // during graph optimization. There is no interface on the IWorkloadFactory to create a StandInWorkload. |
| throw Exception("Stand in layer does not support creating workloads"); |
| } |
| |
| StandInLayer* StandInLayer::Clone(Graph& graph) const |
| { |
| return CloneBase<StandInLayer>(graph, m_Param, GetName()); |
| } |
| |
| std::vector<TensorShape> StandInLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const |
| { |
| IgnoreUnused(inputShapes); |
| throw Exception("Stand in layer does not support infering output shapes"); |
| } |
| |
| void StandInLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInferenceMethod) |
| { |
| IgnoreUnused(shapeInferenceMethod); |
| |
| // Cannot validate this layer since no implementation details can be known by the framework |
| // so do nothing here. |
| } |
| |
| void StandInLayer::Accept(ILayerVisitor& visitor) const |
| { |
| visitor.VisitStandInLayer(this, GetParameters(), GetName()); |
| } |
| } // namespace armnn |
