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Diffstat (limited to 'src/armnn/test/QuantizerTest.cpp')
-rw-r--r-- | src/armnn/test/QuantizerTest.cpp | 53 |
1 files changed, 53 insertions, 0 deletions
diff --git a/src/armnn/test/QuantizerTest.cpp b/src/armnn/test/QuantizerTest.cpp index 6a217f3037..6f7c115164 100644 --- a/src/armnn/test/QuantizerTest.cpp +++ b/src/armnn/test/QuantizerTest.cpp @@ -1009,6 +1009,59 @@ BOOST_AUTO_TEST_CASE(QuantizeDepthwiseConvolution2dWithBiases) TestQuantizeDepthwiseConvolution2d(true); } +BOOST_AUTO_TEST_CASE(QuantizeInstanceNormalization) +{ + class TestInstanceNormalizationQuantization : public TestQuantization + { + public: + TestInstanceNormalizationQuantization(const TensorShape& inputShape, const TensorShape& outputShape) + : TestQuantization(inputShape, outputShape) {} + + TestInstanceNormalizationQuantization(const QuantizerOptions& options, + const TensorShape& inputShape, + const TensorShape& outputShape) + : TestQuantization(options, inputShape, outputShape) {} + + virtual void VisitInstanceNormalizationLayer(const IConnectableLayer* layer, + const InstanceNormalizationDescriptor& descriptor, + const char* name = nullptr) + { + const TensorInfo& info = layer->GetOutputSlot(0).GetTensorInfo(); + + const OffsetScalePair qAsymm8Params{ 30.0f / g_Asymm8QuantizationBase, 128 }; + const OffsetScalePair qSymm16Params{ 15.0f / g_Symm16QuantizationBase, 0 }; + + TestQuantizationParams(info, qAsymm8Params, qSymm16Params); + } + }; + + const TensorShape tensorShape{ 1, 4, 4, 1 }; + const TensorInfo tensorInfo(tensorShape, DataType::Float32); + + INetworkPtr network = INetwork::Create(); + + IConnectableLayer* inputLayer = network->AddInputLayer(0); + IConnectableLayer* instanceNormLayer = network->AddInstanceNormalizationLayer(InstanceNormalizationDescriptor()); + IConnectableLayer* outputLayer = network->AddOutputLayer(0); + + inputLayer->GetOutputSlot(0).Connect(instanceNormLayer->GetInputSlot(0)); + instanceNormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); + + inputLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); + instanceNormLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); + + // test QAsymm8 quantization + INetworkPtr quantizedNetworkQAsymm8 = INetworkQuantizer::Create(network.get())->ExportNetwork(); + TestInstanceNormalizationQuantization validatorQAsymm8(tensorShape, tensorShape); + VisitLayersTopologically(quantizedNetworkQAsymm8.get(), validatorQAsymm8); + + // test QSymm16 quantization + const QuantizerOptions options(DataType::QuantisedSymm16); + INetworkPtr quantizedNetworkQSymm16 = INetworkQuantizer::Create(network.get(), options)->ExportNetwork(); + TestInstanceNormalizationQuantization validatorQSymm16(options, tensorShape, tensorShape); + VisitLayersTopologically(quantizedNetworkQSymm16.get(), validatorQSymm16); +} + INetworkPtr CreateNetworkWithSoftmaxLayer(const SoftmaxDescriptor& descriptor, const TensorShape& shape) { INetworkPtr network = INetwork::Create(); |