| // |
| // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #pragma once |
| |
| #include "Optimization.hpp" |
| |
| namespace armnn |
| { |
| namespace optimizations |
| { |
| class DeleteBroadcastToImpl |
| { |
| public: |
| /// Run for every BroadcastToLayer. Remove it if it is before an ElementWiseLayer. |
| /// Since ElementWiseBinary uses a brodcastLoop, using a broadcastTo layer is |
| /// not necessary so it will be deleted. |
| void Run(Graph&, BroadcastToLayer& layer) const |
| { |
| if(layer.GetType() == LayerType::BroadcastTo) |
| { |
| TensorInfo info = layer.GetOutputSlot(0).GetTensorInfo(); |
| Layer& next = layer.GetOutputSlot(0).GetConnection(0)->GetOwningLayer(); |
| if (next.GetType() == LayerType::ElementwiseBinary) |
| { |
| Layer& connectedLayer = layer.GetInputSlots()[0].GetConnectedOutputSlot()->GetOwningLayer(); |
| auto tensorInfo = connectedLayer.GetOutputSlot().GetTensorInfo(); |
| layer.GetOutputSlot().MoveAllConnections(connectedLayer.GetOutputSlot()); |
| connectedLayer.GetOutputSlot().GetOutputHandler().SetTensorInfo(tensorInfo); |
| } |
| } |
| } |
| protected: |
| DeleteBroadcastToImpl() = default; |
| ~DeleteBroadcastToImpl() = default; |
| }; |
| using BroadcastToOptimizationLayer = OptimizeForType<BroadcastToLayer, DeleteBroadcastToImpl>; |
| } |
| } |