diff options
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) |