From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- ...ize_inverse_conversions_tests_8cpp_source.xhtml | 136 +++++++++++++++++++++ 1 file changed, 136 insertions(+) create mode 100644 21.02/_optimize_inverse_conversions_tests_8cpp_source.xhtml (limited to '21.02/_optimize_inverse_conversions_tests_8cpp_source.xhtml') diff --git a/21.02/_optimize_inverse_conversions_tests_8cpp_source.xhtml b/21.02/_optimize_inverse_conversions_tests_8cpp_source.xhtml new file mode 100644 index 0000000000..01b3604128 --- /dev/null +++ b/21.02/_optimize_inverse_conversions_tests_8cpp_source.xhtml @@ -0,0 +1,136 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/test/optimizations/OptimizeInverseConversionsTests.cpp Source File + + + + + + + + + + + + + + + + +
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OptimizeInverseConversionsTests.cpp
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+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 
14 BOOST_AUTO_TEST_SUITE(Optimizer)
15 using namespace armnn::optimizations;
16 
17 BOOST_AUTO_TEST_CASE(OptimizeInverseConversionsTest)
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  // Fp32ToFp16 conversion followed by an inverse Fp16ToFp32 conversion
26  graph.InsertNewLayer<armnn::ConvertFp32ToFp16Layer>(output->GetInputSlot(0), "convert1");
27  graph.InsertNewLayer<armnn::ConvertFp16ToFp32Layer>(output->GetInputSlot(0), "convert2");
28 
29  graph.InsertNewLayer<armnn::Convolution2dLayer>(output->GetInputSlot(0), Convolution2dDescriptor(), "conv");
30 
31  // Fp16ToFp32 conversion followed by an inverse Fp32ToFp16 conversion
32  graph.InsertNewLayer<armnn::ConvertFp16ToFp32Layer>(output->GetInputSlot(0), "convert3");
33  graph.InsertNewLayer<armnn::ConvertFp32ToFp16Layer>(output->GetInputSlot(0), "convert4");
34 
35  BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
36  &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>,
37  &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, &IsLayerOfType<armnn::Convolution2dLayer>,
38  &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
39  &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>, &IsLayerOfType<armnn::OutputLayer>));
40 
41  armnn::Optimizer::Pass(
42  graph, armnn::MakeOptimizations(OptimizeInverseConversionsFp16(), OptimizeInverseConversionsFp32()));
43 
44  // Check that all consecutive inverse conversions are removed
45  BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
46  &IsLayerOfType<armnn::Convolution2dLayer>, &IsLayerOfType<armnn::OutputLayer>));
47 }
48 
49 BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
armnn::MakeOptimizations
Optimizer::Optimizations MakeOptimizations(Args &&... args)
Definition: Optimizer.hpp:43
+ +
armnn::Graph::AddLayer
LayerT * AddLayer(Args &&... args)
Adds a new layer, of type LayerType, to the graph constructed with the arguments passed.
Definition: Graph.hpp:402
+
armnn::Graph::cbegin
ConstIterator cbegin() const
Returns const iterator pointing to the beginning of the list. Lowercase for range-based for loops...
Definition: Graph.hpp:172
+
armnn::Convolution2dDescriptor
A Convolution2dDescriptor for the Convolution2dLayer.
Definition: Descriptors.hpp:408
+
armnn::ConvertFp16ToFp32Layer
This layer converts data type Float 16 to Float 32.
Definition: ConvertFp16ToFp32Layer.hpp:14
+
armnn::Optimizer::Pass
static void Pass(Graph &graph, const Optimizations &optimizations)
Definition: Optimizer.cpp:16
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6
+
Optimizer.hpp
+
armnn::optimizations::OptimizeInverseConversionsFp16
OptimizeForConnection< ConvertFp16ToFp32Layer, ConvertFp32ToFp16Layer, OptimizeInverseConversionsImpl > OptimizeInverseConversionsFp16
Definition: OptimizeInverseConversions.hpp:42
+
armnn::OutputLayer
A layer user-provided data can be bound to (e.g. inputs, outputs).
Definition: OutputLayer.hpp:13
+
armnn::BOOST_AUTO_TEST_CASE
BOOST_AUTO_TEST_CASE(CheckConvolution2dLayer)
Definition: ConstTensorLayerVisitor.cpp:268
+ +
armnn::ConvertFp32ToFp16Layer
This layer converts data type Float 32 to Float 16.
Definition: ConvertFp32ToFp16Layer.hpp:13
+
BOOST_AUTO_TEST_SUITE_END
BOOST_AUTO_TEST_SUITE_END()
+
armnn::optimizations::OptimizeInverseConversionsFp32
OptimizeForConnection< ConvertFp32ToFp16Layer, ConvertFp16ToFp32Layer, OptimizeInverseConversionsImpl > OptimizeInverseConversionsFp32
Definition: OptimizeInverseConversions.hpp:44
+
armnn::InputLayer
A layer user-provided data can be bound to (e.g. inputs, outputs).
Definition: InputLayer.hpp:13
+
CheckSequence
bool CheckSequence(const armnn::Graph::ConstIterator first, const armnn::Graph::ConstIterator last)
Definition: TestUtils.hpp:21
+
armnn::Graph::cend
ConstIterator cend() const
Returns const iterator pointing to the end of the list. Lowercase for range-based for loops...
Definition: Graph.hpp:174
+
armnn::Convolution2dLayer
This layer represents a convolution 2d operation.
Definition: Convolution2dLayer.hpp:15
+
armnn::Graph::InsertNewLayer
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
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