ArmNN
 20.02
PermuteAsReshapeTests.cpp
Go to the documentation of this file.
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(PermuteAsReshapeTest)
18 {
19  armnn::Graph graph;
20 
21  std::string permuteLayerName = "permute";
22 
23  const armnn::TensorInfo infoIn({ 1, 2, 3, 1 }, armnn::DataType::Float32);
24  const armnn::TensorInfo infoOut({ 1, 1, 2, 3 }, armnn::DataType::Float32);
25 
26  auto output = graph.AddLayer<armnn::OutputLayer>(0, "output");
27 
28  graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input")
29  ->GetOutputHandler()
30  .SetTensorInfo(infoIn);
31 
32  // Inserts permute.
33  graph
34  .InsertNewLayer<armnn::PermuteLayer>(output->GetInputSlot(0), armnn::PermuteDescriptor({ 0, 2, 3, 1 }),
35  permuteLayerName.c_str())
36  ->GetOutputHandler()
37  .SetTensorInfo(infoOut);
38 
39  BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
40  &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::OutputLayer>));
41 
43 
44  // The permute is replaced by an equivalent reshape.
45 
46  auto checkReshape = [&infoOut](const armnn::Layer* const layer) -> bool {
47  const auto reshapeLayer = static_cast<const armnn::ReshapeLayer*>(layer);
48  return IsLayerOfType<armnn::ReshapeLayer>(layer) &&
49  (reshapeLayer->GetParameters().m_TargetShape == infoOut.GetShape()) &&
50  (reshapeLayer->GetOutputHandler().GetTensorInfo().GetShape() == infoOut.GetShape());
51  };
52 
53  BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, checkReshape,
54  &IsLayerOfType<armnn::OutputLayer>));
55 
56  std::list<std::string> testRelatedLayers = { permuteLayerName };
57  BOOST_TEST(CheckRelatedLayers<armnn::ReshapeLayer>(graph, testRelatedLayers));
58 }
59 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
Optimizer::Optimizations MakeOptimizations(Args &&... args)
Definition: Optimizer.hpp:43
LayerT * AddLayer(Args &&... args)
Adds a new layer, of type LayerType, to the graph constructed with the arguments passed.
Definition: Graph.hpp:397
ConstIterator cbegin() const
Returns const iterator pointing to the beginning of the list. Lowercase for range-based for loops...
Definition: Graph.hpp:168
static void Pass(Graph &graph, const Optimizations &optimizations)
Definition: Optimizer.cpp:16
This layer represents a reshape operation.
Copyright (c) 2020 ARM Limited.
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)
OptimizeForType< PermuteLayer, PermuteAsReshapeImpl > PermuteAsReshape
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:20
ConstIterator cend() const
Returns const iterator pointing to the end of the list. Lowercase for range-based for loops...
Definition: Graph.hpp:170
LayerT * InsertNewLayer(InputSlot &insertBefore, Args &&... args)
Inserts a new layer between the output slot currently connected to insertBefore and insertBefore itse...
Definition: Graph.hpp:409
A PermuteDescriptor for the PermuteLayer.