blob: 86cbc4e3c0046128273e2f71d6a738a0caa3f646 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
|
//
// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <armnn/INetwork.hpp>
#include <GraphUtils.hpp>
#include <TestUtils.hpp>
#include <doctest/doctest.h>
TEST_SUITE("TosaReferenceOptimizedNetwork")
{
TEST_CASE("SimpleSupportedOptimizedNetwork")
{
armnn::IRuntime::CreationOptions options;
armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));
armnn::INetworkPtr network(armnn::INetwork::Create());
auto inputLayer1 = network->AddInputLayer(0, "input_1");
auto inputLayer2 = network->AddInputLayer(1, "input_2");
ARMNN_NO_DEPRECATE_WARN_BEGIN
auto addLayer = network->AddAdditionLayer("add");
ARMNN_NO_DEPRECATE_WARN_END
auto outputLayer = network->AddOutputLayer(2, "output");
armnn::TensorInfo tensorInfo{{4}, armnn::DataType::Float32};
inputLayer1->GetOutputSlot(0).Connect(addLayer->GetInputSlot(0));
inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo);
inputLayer2->GetOutputSlot(0).Connect(addLayer->GetInputSlot(1));
inputLayer2->GetOutputSlot(0).SetTensorInfo(tensorInfo);
addLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
addLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo);
std::vector<armnn::BackendId> backends = { "TosaRef" };
armnn::OptimizerOptions optimizedOptions;
armnn::IOptimizedNetworkPtr optNet = Optimize(*network, backends, runtime->GetDeviceSpec(), optimizedOptions);
CHECK(optNet);
armnn::Graph& graph = GetGraphForTesting(optNet.get());
// Check graph layer sequence to ensure that the network has been replaced with a PreCompiledLayer
CHECK(CheckSequence(graph.cbegin(), graph.cend(),
&IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::PreCompiledLayer>,
&IsLayerOfType<armnn::OutputLayer>));
}
}
|