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authorruoyan01 <ruomei.yan@arm.com>2019-02-28 15:09:07 +0000
committerruoyan01 <ruomei.yan@arm.com>2019-03-01 16:39:27 +0000
commit8e7fa232b4e637cc02f2ca344b2113c63cdc7e5a (patch)
tree3c200afe3c7cab37b553ba0461aed4410b7cfbb8 /src/armnnSerializer/test/SerializerTests.cpp
parentdd2ba7ebf78a75aadd8ddd2ae1a4226ffc4ae4d9 (diff)
downloadarmnn-8e7fa232b4e637cc02f2ca344b2113c63cdc7e5a.tar.gz
IVGCVSW-2681 Serialize/de-serialize the BatchNormalization layer
Change-Id: I418c4465366742262fb6e6c1eeba76c634beaeb5 Signed-off-by: ruoyan01 <ruomei.yan@arm.com>
Diffstat (limited to 'src/armnnSerializer/test/SerializerTests.cpp')
-rw-r--r--src/armnnSerializer/test/SerializerTests.cpp68
1 files changed, 68 insertions, 0 deletions
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index 5f1745bda5..3ef15831b1 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -888,6 +888,74 @@ BOOST_AUTO_TEST_CASE(SerializeDeserializeBatchToSpaceNd)
{outputTensorInfo.GetShape()});
}
+BOOST_AUTO_TEST_CASE(SerializeDeserializeBatchNormalization)
+{
+ class VerifyBatchNormalizationName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy>
+ {
+ public:
+ void VisitBatchNormalizationLayer(const armnn::IConnectableLayer*,
+ const armnn::BatchNormalizationDescriptor&,
+ const armnn::ConstTensor&,
+ const armnn::ConstTensor&,
+ const armnn::ConstTensor&,
+ const armnn::ConstTensor&,
+ const char* name) override
+ {
+ BOOST_TEST(name == "BatchNormalization:1");
+ }
+ };
+
+ armnn::TensorInfo inputInfo ({ 1, 3, 3, 1 }, armnn::DataType::Float32);
+ armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32);
+
+ armnn::TensorInfo meanInfo({1}, armnn::DataType::Float32);
+ armnn::TensorInfo varianceInfo({1}, armnn::DataType::Float32);
+ armnn::TensorInfo scaleInfo({1}, armnn::DataType::Float32);
+ armnn::TensorInfo offsetInfo({1}, armnn::DataType::Float32);
+
+ armnn::BatchNormalizationDescriptor descriptor;
+ descriptor.m_Eps = 0.0010000000475f;
+ descriptor.m_DataLayout = armnn::DataLayout::NHWC;
+
+ std::vector<float> meanData({5.0});
+ std::vector<float> varianceData({2.0});
+ std::vector<float> scaleData({1.0});
+ std::vector<float> offsetData({0.0});
+
+ armnn::ConstTensor mean(meanInfo, meanData);
+ armnn::ConstTensor variance(varianceInfo, varianceData);
+ armnn::ConstTensor scale(scaleInfo, scaleData);
+ armnn::ConstTensor offset(offsetInfo, offsetData);
+
+ armnn::INetworkPtr network = armnn::INetwork::Create();
+ armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0);
+ armnn::IConnectableLayer* const batchNormalizationLayer = network->AddBatchNormalizationLayer(
+ descriptor,
+ mean,
+ variance,
+ scale,
+ offset,
+ "BatchNormalizationLayer");
+ armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0);
+
+ inputLayer->GetOutputSlot(0).Connect(batchNormalizationLayer->GetInputSlot(0));
+ inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo);
+
+ batchNormalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
+ batchNormalizationLayer->GetOutputSlot(0).SetTensorInfo(outputInfo);
+
+ armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network));
+ BOOST_CHECK(deserializedNetwork);
+
+ VerifyBatchNormalizationName nameChecker;
+ deserializedNetwork->Accept(nameChecker);
+
+ CheckDeserializedNetworkAgainstOriginal(*network,
+ *deserializedNetwork,
+ {inputInfo.GetShape()},
+ {outputInfo.GetShape()});
+}
+
BOOST_AUTO_TEST_CASE(SerializeDivision)
{
class VerifyDivisionName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy>