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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include <TestUtils.hpp>
7 
8 #include <Optimizer.hpp>
9 
10 #include <doctest/doctest.h>
11 
12 using namespace armnn;
13 
14 TEST_SUITE("Optimizer")
15 {
16 using namespace armnn::optimizations;
17 
18 TEST_CASE("OptimizeInverseConversionsTest")
19 {
20     armnn::Graph graph;
21 
22     auto output = graph.AddLayer<armnn::OutputLayer>(0, "output");
23 
24     graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
25 
26     // Fp32ToFp16 conversion followed by an inverse Fp16ToFp32 conversion
27     graph.InsertNewLayer<armnn::ConvertFp32ToFp16Layer>(output->GetInputSlot(0), "convert1");
28     graph.InsertNewLayer<armnn::ConvertFp16ToFp32Layer>(output->GetInputSlot(0), "convert2");
29 
30     graph.InsertNewLayer<armnn::Convolution2dLayer>(output->GetInputSlot(0), Convolution2dDescriptor(), "conv");
31 
32     // Fp16ToFp32 conversion followed by an inverse Fp32ToFp16 conversion
33     graph.InsertNewLayer<armnn::ConvertFp16ToFp32Layer>(output->GetInputSlot(0), "convert3");
34     graph.InsertNewLayer<armnn::ConvertFp32ToFp16Layer>(output->GetInputSlot(0), "convert4");
35 
36     CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
37                              &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>,
38                              &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, &IsLayerOfType<armnn::Convolution2dLayer>,
39                              &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
40                              &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>, &IsLayerOfType<armnn::OutputLayer>));
41 
42     armnn::Optimizer::Pass(
43         graph, armnn::MakeOptimizations(OptimizeInverseConversionsFp16(), OptimizeInverseConversionsFp32()));
44 
45     // Check that all consecutive inverse conversions are removed
46     CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
47                              &IsLayerOfType<armnn::Convolution2dLayer>, &IsLayerOfType<armnn::OutputLayer>));
48 }
49 
50 }