ArmNN
 22.02
OptimizeInverseConversionsTests.cpp File Reference
#include <TestUtils.hpp>
#include <Optimizer.hpp>
#include <doctest/doctest.h>

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Functions

 TEST_SUITE ("Optimizer")
 

Function Documentation

◆ TEST_SUITE()

TEST_SUITE ( "Optimizer"  )

Definition at line 14 of file OptimizeInverseConversionsTests.cpp.

References Graph::AddLayer(), Graph::cbegin(), Graph::cend(), CheckSequence(), Graph::InsertNewLayer(), armnn::MakeOptimizations(), and Optimizer::Pass().

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 
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 }
Optimizer::Optimizations MakeOptimizations(Args &&... args)
Definition: Optimizer.hpp:43
bool CheckSequence(const armnn::Graph::ConstIterator first, const armnn::Graph::ConstIterator last)
Definition: TestUtils.hpp:21
LayerT * AddLayer(Args &&... args)
Adds a new layer, of type LayerType, to the graph constructed with the arguments passed.
Definition: Graph.hpp:420
ConstIterator cbegin() const
Returns const iterator pointing to the beginning of the list. Lowercase for range-based for loops...
Definition: Graph.hpp:177
A Convolution2dDescriptor for the Convolution2dLayer.
This layer converts data type Float 16 to Float 32.
static void Pass(Graph &graph, const Optimizations &optimizations)
Definition: Optimizer.cpp:16
OptimizeForConnection< ConvertFp16ToFp32Layer, ConvertFp32ToFp16Layer, OptimizeInverseConversionsImpl > OptimizeInverseConversionsFp16
A layer user-provided data can be bound to (e.g. inputs, outputs).
Definition: OutputLayer.hpp:13
This layer converts data type Float 32 to Float 16.
OptimizeForConnection< ConvertFp32ToFp16Layer, ConvertFp16ToFp32Layer, OptimizeInverseConversionsImpl > OptimizeInverseConversionsFp32
A layer user-provided data can be bound to (e.g. inputs, outputs).
Definition: InputLayer.hpp:13
ConstIterator cend() const
Returns const iterator pointing to the end of the list. Lowercase for range-based for loops...
Definition: Graph.hpp:179
This layer represents a convolution 2d operation.
LayerT * InsertNewLayer(InputSlot &insertBefore, Args &&... args)
Inserts a new layer between the output slot currently connected to insertBefore and insertBefore itse...
Definition: Graph.hpp:434