ArmNN
 21.02
OptimizeInversePermutesTests.cpp
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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 <boost/test/unit_test.hpp>
11 
12 using namespace armnn;
13 
15 using namespace armnn::optimizations;
16 
17 BOOST_AUTO_TEST_CASE(OptimizeInversePermutesTest)
18 {
19  armnn::Graph graph;
20 
21  auto output = graph.AddLayer<armnn::OutputLayer>(0, "output");
22 
23  graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
24 
25  // Inserts two permutes, one the inverse of the other.
26  graph.InsertNewLayer<armnn::PermuteLayer>(output->GetInputSlot(0), armnn::PermuteDescriptor({ 0, 2, 3, 1 }),
27  "perm0231");
28  graph.InsertNewLayer<armnn::PermuteLayer>(output->GetInputSlot(0), armnn::PermuteDescriptor({ 0, 3, 1, 2 }),
29  "perm0312");
30 
31  BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
32  &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::PermuteLayer>,
33  &IsLayerOfType<armnn::OutputLayer>));
34 
36 
37  // The permutes are removed.
38  BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
39  &IsLayerOfType<armnn::OutputLayer>));
40 }
41 
42 BOOST_AUTO_TEST_CASE(OptimizeInverseTransposesTest)
43 {
44  armnn::Graph graph;
45 
46  auto output = graph.AddLayer<armnn::OutputLayer>(0, "output");
47 
48  graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
49 
50  // Inserts two permutes, one the inverse of the other.
51  graph.InsertNewLayer<armnn::TransposeLayer>(output->GetInputSlot(0),
52  armnn::TransposeDescriptor({ 0, 3, 1, 2 }),
53  "transpose0312");
54  graph.InsertNewLayer<armnn::TransposeLayer>(output->GetInputSlot(0),
55  armnn::TransposeDescriptor({ 0, 2, 3, 1 }),
56  "transpose0231");
57 
58  BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
59  &IsLayerOfType<armnn::TransposeLayer>, &IsLayerOfType<armnn::TransposeLayer>,
60  &IsLayerOfType<armnn::OutputLayer>));
61 
63 
64  // The permutes are removed.
65  BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
66  &IsLayerOfType<armnn::OutputLayer>));
67 }
68 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
OptimizeForConnection< PermuteLayer, PermuteLayer, OptimizeInversePermutesImpl< PermuteLayer > > OptimizeInversePermutes
Optimizer::Optimizations MakeOptimizations(Args &&... args)
Definition: Optimizer.hpp:43
OptimizeForConnection< TransposeLayer, TransposeLayer, OptimizeInversePermutesImpl< TransposeLayer > > OptimizeInverseTransposes
LayerT * AddLayer(Args &&... args)
Adds a new layer, of type LayerType, to the graph constructed with the arguments passed.
Definition: Graph.hpp:402
ConstIterator cbegin() const
Returns const iterator pointing to the beginning of the list. Lowercase for range-based for loops...
Definition: Graph.hpp:172
static void Pass(Graph &graph, const Optimizations &optimizations)
Definition: Optimizer.cpp:16
Copyright (c) 2021 ARM Limited and Contributors.
This layer represents a permutation operation.
A layer user-provided data can be bound to (e.g. inputs, outputs).
Definition: OutputLayer.hpp:13
BOOST_AUTO_TEST_CASE(CheckConvolution2dLayer)
This layer represents a transpose operation.
BOOST_AUTO_TEST_SUITE_END()
A layer user-provided data can be bound to (e.g. inputs, outputs).
Definition: InputLayer.hpp:13
bool CheckSequence(const armnn::Graph::ConstIterator first, const armnn::Graph::ConstIterator last)
Definition: TestUtils.hpp:21
A TransposeDescriptor for the TransposeLayer.
ConstIterator cend() const
Returns const iterator pointing to the end of the list. Lowercase for range-based for loops...
Definition: Graph.hpp:174
LayerT * InsertNewLayer(InputSlot &insertBefore, Args &&... args)
Inserts a new layer between the output slot currently connected to insertBefore and insertBefore itse...
Definition: Graph.hpp:416
A PermuteDescriptor for the PermuteLayer.