diff options
Diffstat (limited to 'src/armnn')
-rw-r--r-- | src/armnn/Layer.cpp | 13 | ||||
-rw-r--r-- | src/armnn/layers/SwitchLayer.cpp | 2 | ||||
-rw-r--r-- | src/armnn/test/FlowControl.cpp | 53 |
3 files changed, 65 insertions, 3 deletions
diff --git a/src/armnn/Layer.cpp b/src/armnn/Layer.cpp index 0a6328ba3d..ced87b095c 100644 --- a/src/armnn/Layer.cpp +++ b/src/armnn/Layer.cpp @@ -262,8 +262,17 @@ LayerPriority Layer::GetPriority() const auto maxPrio = [](const LayerPriority prio, const InputSlot& slot) -> LayerPriority { - const Layer& input = slot.GetConnectedOutputSlot()->GetOwningLayer(); - return std::max(prio, input.GetPriority()); + const OutputSlot *outputSlot = slot.GetConnectedOutputSlot(); + if (outputSlot) + { + const Layer& input = outputSlot->GetOwningLayer(); + return std::max(prio, input.GetPriority()); + } + else + { + // unconnected input slot + return prio; + } }; m_Visiting = true; diff --git a/src/armnn/layers/SwitchLayer.cpp b/src/armnn/layers/SwitchLayer.cpp index eae6e0dfe2..4f0eb9b703 100644 --- a/src/armnn/layers/SwitchLayer.cpp +++ b/src/armnn/layers/SwitchLayer.cpp @@ -39,7 +39,7 @@ void SwitchLayer::ValidateTensorShapesFromInputs() GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(), GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape() }); - BOOST_ASSERT(inferredShapes.size() == 1); + BOOST_ASSERT(inferredShapes.size() == 2); ConditionalThrowIfNotEqual<LayerValidationException>( "SwitchLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", diff --git a/src/armnn/test/FlowControl.cpp b/src/armnn/test/FlowControl.cpp new file mode 100644 index 0000000000..3bc993b33b --- /dev/null +++ b/src/armnn/test/FlowControl.cpp @@ -0,0 +1,53 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include <armnn/Descriptors.hpp> +#include <armnn/IRuntime.hpp> +#include <armnn/INetwork.hpp> + +#include <boost/test/unit_test.hpp> + +#include <set> + +BOOST_AUTO_TEST_SUITE(FlowControl) + +BOOST_AUTO_TEST_CASE(ErrorOnLoadNetwork) +{ + using namespace armnn; + + // Create runtime in which test will run + IRuntime::CreationOptions options; + IRuntimePtr runtime(IRuntime::Create(options)); + + // build up the structure of the network + // It's equivalent to something like + // if (0) {} else {} + INetworkPtr net(INetwork::Create()); + + std::vector<uint8_t> falseData = {0}; + ConstTensor falseTensor(armnn::TensorInfo({1}, armnn::DataType::Boolean), falseData); + IConnectableLayer* constLayer = net->AddConstantLayer(falseTensor, "const"); + constLayer->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({1}, armnn::DataType::Boolean)); + + IConnectableLayer* input = net->AddInputLayer(0); + + IConnectableLayer* switchLayer = net->AddSwitchLayer("switch"); + IConnectableLayer* mergeLayer = net->AddMergeLayer("merge"); + + IConnectableLayer* output = net->AddOutputLayer(0); + + input->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(0)); + constLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(1)); + switchLayer->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(0)); + switchLayer->GetOutputSlot(1).Connect(mergeLayer->GetInputSlot(1)); + mergeLayer->GetOutputSlot(0).Connect(output->GetInputSlot(0)); + + // optimize the network + std::vector<BackendId> backends = {Compute::CpuRef}; + IOptimizedNetworkPtr optNet = Optimize(*net, backends, runtime->GetDeviceSpec()); + BOOST_CHECK(!optNet); // Should have failed to optimise, as flow control is not yet implemented +} + +BOOST_AUTO_TEST_SUITE_END() |