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| author | keidav01 <keith.davis@arm.com> | 2018-12-11 16:14:20 +0000 |
|---|---|---|
| committer | Keith Davis Arm <keith.davis@arm.com> | 2018-12-11 17:11:20 +0000 |
| commit | 738c2e6a647b886750e1bc3daa6dd615a0244baa (patch) | |
| tree | ef88c6a5ee1076471bd36b85c30afb36a68bbfc9 /src/armnn/test/OptimizerTests.cpp | |
| parent | 44a7167e0f13dc1d703cd573f57636fde711c618 (diff) | |
| download | armnn-738c2e6a647b886750e1bc3daa6dd615a0244baa.tar.gz | |
IVGCVSW-1434 Add debug mode to Optimizer
* Modified optimizer to support debug mode via DebugLayer
Change-Id: Ic8f313778e55540c182cf99876c44a0823be04c6
Diffstat (limited to 'src/armnn/test/OptimizerTests.cpp')
| -rw-r--r-- | src/armnn/test/OptimizerTests.cpp | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/src/armnn/test/OptimizerTests.cpp b/src/armnn/test/OptimizerTests.cpp index 30ca52092a..29d1702c64 100644 --- a/src/armnn/test/OptimizerTests.cpp +++ b/src/armnn/test/OptimizerTests.cpp @@ -768,6 +768,43 @@ BOOST_AUTO_TEST_CASE(Fp32NetworkToFp16OptimizationTest) &IsLayerOfType<armnn::OutputLayer>)); } +BOOST_AUTO_TEST_CASE(InsertDebugOptimizationTest) +{ + armnn::Graph graph; + + const armnn::TensorInfo info({ 2,2,1,3 }, armnn::DataType::Float32); + + // Create the simple test network + auto input = graph.AddLayer<armnn::InputLayer>(0, "input"); + input->GetOutputSlot().SetTensorInfo(info); + + auto floor = graph.AddLayer<armnn::FloorLayer>("floor"); + floor->GetOutputSlot().SetTensorInfo(info); + + auto output = graph.AddLayer<armnn::OutputLayer>(1, "output"); + + // Connect up the layers + input->GetOutputSlot().Connect(floor->GetInputSlot(0)); + floor->GetOutputSlot().Connect(output->GetInputSlot(0)); + + BOOST_TEST(CheckSequence(graph.cbegin(), + graph.cend(), + &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::FloorLayer>, + &IsLayerOfType<armnn::OutputLayer>)); + + // Run the optimizer + armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(InsertDebugLayer())); + + BOOST_TEST(CheckSequence(graph.cbegin(), + graph.cend(), + &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::DebugLayer>, + &IsLayerOfType<armnn::FloorLayer>, + &IsLayerOfType<armnn::DebugLayer>, + &IsLayerOfType<armnn::OutputLayer>)); +} + void CreateConvolution2dGraph(Graph &graph, const unsigned int* inputShape, const unsigned int* weightsShape, const unsigned int* outputShape, DataLayout dataLayout = DataLayout::NCHW) |