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Diffstat (limited to 'src/armnnSerializer/test/SerializerTests.cpp')
| -rw-r--r-- | src/armnnSerializer/test/SerializerTests.cpp | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp index 2bffe0b9fd..e32b90837d 100644 --- a/src/armnnSerializer/test/SerializerTests.cpp +++ b/src/armnnSerializer/test/SerializerTests.cpp @@ -1684,6 +1684,36 @@ TEST_CASE("SerializePad") deserializedNetwork->ExecuteStrategy(verifier); } +TEST_CASE("SerializePadReflect") +{ + const std::string layerName("padReflect"); + const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); + const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); + + armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); + desc.m_PaddingMode = armnn::PaddingMode::Reflect; + + armnn::INetworkPtr network = armnn::INetwork::Create(); + armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); + armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, layerName.c_str()); + armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); + + inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); + padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); + + inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); + padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); + CHECK(deserializedNetwork); + + LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier(layerName, + {inputTensorInfo}, + {outputTensorInfo}, + desc); + deserializedNetwork->ExecuteStrategy(verifier); +} + TEST_CASE("EnsurePadBackwardCompatibility") { // The PadDescriptor is being extended with a float PadValue (so a value other than 0 |