From d8f5fc2d172796fada8df36bdfb9b5324cbac5d4 Mon Sep 17 00:00:00 2001 From: FrancisMurtagh Date: Wed, 13 Feb 2019 16:43:14 +0000 Subject: IVGCVSW-2615 Support static quantization of Pooling2d Change-Id: Ica9c48adad741840b201047bb65541a19aac17f7 Signed-off-by: FrancisMurtagh --- src/armnn/test/QuantizerTest.cpp | 52 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) (limited to 'src/armnn/test/QuantizerTest.cpp') diff --git a/src/armnn/test/QuantizerTest.cpp b/src/armnn/test/QuantizerTest.cpp index 657a87abbc..5fcfc5d12e 100644 --- a/src/armnn/test/QuantizerTest.cpp +++ b/src/armnn/test/QuantizerTest.cpp @@ -879,5 +879,57 @@ BOOST_AUTO_TEST_CASE(QuantizeSpaceToBatch) VisitLayersTopologically(quantizedNetwork.get(), validator); } +class TestPooling2dQuantization : public TestLeakyReLuActivationQuantization +{ +public: + virtual void VisitPooling2dLayer(const IConnectableLayer* layer, + const Pooling2dDescriptor& desc, + const char* name = nullptr) + { + TensorInfo info = layer->GetOutputSlot(0).GetTensorInfo(); + + BOOST_TEST((info.GetDataType() == DataType::QuantisedAsymm8)); + + BOOST_TEST((info.GetQuantizationOffset() == 64)); + + // Based off parent LeakyReLu [-5.f, 15.f] + BOOST_CHECK_CLOSE(info.GetQuantizationScale(), 20.0f/255.0f, 0.000001f); + } +}; + +BOOST_AUTO_TEST_CASE(QuantizePooling2d) +{ + auto network = INetwork::Create(); + + TensorShape shape{1U}; + TensorInfo info(shape, DataType::Float32); + + Pooling2dDescriptor desc; + ActivationDescriptor activationDescriptor; + activationDescriptor.m_Function = ActivationFunction::LeakyReLu; + activationDescriptor.m_A = 3.5f; + activationDescriptor.m_B = -10.0f; + + // Add the layers + IConnectableLayer* input0 = network->AddInputLayer(0); + IConnectableLayer* activation = network->AddActivationLayer(activationDescriptor); + IConnectableLayer* pooling2d = network->AddPooling2dLayer(desc); + IConnectableLayer* output = network->AddOutputLayer(3); + + // Establish connections + input0->GetOutputSlot(0).Connect(activation->GetInputSlot(0)); + activation->GetOutputSlot(0).Connect(pooling2d->GetInputSlot(0)); + pooling2d->GetOutputSlot(0).Connect(output->GetInputSlot(0)); + + //Set TensorInfo + input0->GetOutputSlot(0).SetTensorInfo(info); + activation->GetOutputSlot(0).SetTensorInfo(info); + pooling2d->GetOutputSlot(0).SetTensorInfo(info); + + auto quantizedNetwork = INetworkQuantizer::Create(network.get())->ExportNetwork(); + TestPooling2dQuantization validator; + VisitLayersTopologically(quantizedNetwork.get(), validator); +} + BOOST_AUTO_TEST_SUITE_END() } // namespace armnn -- cgit v1.2.1