Aron Virginas-Tar | c26ba75 | 2018-10-22 13:32:01 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #pragma once |
| 6 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 7 | |
| 8 | #include <Runtime.hpp> |
Aron Virginas-Tar | c26ba75 | 2018-10-22 13:32:01 +0100 | [diff] [blame] | 9 | |
| 10 | namespace |
| 11 | { |
| 12 | |
Kevin May | d92a6e4 | 2021-02-04 10:27:41 +0000 | [diff] [blame] | 13 | inline void CreateAndDropDummyNetwork(const std::vector<armnn::BackendId>& backends, armnn::RuntimeImpl& runtime) |
Aron Virginas-Tar | c26ba75 | 2018-10-22 13:32:01 +0100 | [diff] [blame] | 14 | { |
| 15 | armnn::NetworkId networkIdentifier; |
| 16 | { |
| 17 | armnn::TensorInfo inputTensorInfo(armnn::TensorShape({ 7, 7 }), armnn::DataType::Float32); |
| 18 | armnn::TensorInfo outputTensorInfo(armnn::TensorShape({ 7, 7 }), armnn::DataType::Float32); |
| 19 | |
| 20 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
| 21 | |
| 22 | armnn::IConnectableLayer* input = network->AddInputLayer(0, "input"); |
| 23 | armnn::IConnectableLayer* layer = network->AddActivationLayer(armnn::ActivationDescriptor(), "test"); |
| 24 | armnn::IConnectableLayer* output = network->AddOutputLayer(0, "output"); |
| 25 | |
| 26 | input->GetOutputSlot(0).Connect(layer->GetInputSlot(0)); |
| 27 | layer->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 28 | |
| 29 | // Sets the tensors in the network. |
| 30 | input->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 31 | layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 32 | |
| 33 | // optimize the network |
| 34 | armnn::IOptimizedNetworkPtr optNet = Optimize(*network, backends, runtime.GetDeviceSpec()); |
| 35 | |
| 36 | runtime.LoadNetwork(networkIdentifier, std::move(optNet)); |
| 37 | } |
| 38 | |
| 39 | runtime.UnloadNetwork(networkIdentifier); |
| 40 | } |
| 41 | |
| 42 | } // anonymous namespace |