From 7205fed8ae4d6f85b350f3612cc43ee7e25176a7 Mon Sep 17 00:00:00 2001
From: Derek Lamberti <derek.lamberti@arm.com>
Date: Wed, 6 Feb 2019 16:20:46 +0000
Subject: IVGCVSW-2654 Test quantization of addition, input and output

Change-Id: I6c61df213278e6ba65807932548bb2eaa159deba
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
---
 src/armnn/test/QuantizerTest.cpp | 96 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 96 insertions(+)
 create mode 100644 src/armnn/test/QuantizerTest.cpp

(limited to 'src/armnn/test')

diff --git a/src/armnn/test/QuantizerTest.cpp b/src/armnn/test/QuantizerTest.cpp
new file mode 100644
index 0000000000..56b1497967
--- /dev/null
+++ b/src/armnn/test/QuantizerTest.cpp
@@ -0,0 +1,96 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <armnn/INetwork.hpp>
+#include <armnn/Tensor.hpp>
+#include <armnn/INetworkQuantizer.hpp>
+#include <armnn/Types.hpp>
+
+#include "../LayerVisitorBase.hpp"
+#include "../Network.hpp"
+#include "../Graph.hpp"
+
+#include <boost/test/unit_test.hpp>
+
+namespace armnn
+{
+BOOST_AUTO_TEST_SUITE(Quantizer)
+
+void VisitLayersTopologically(const INetwork* inputNetwork, ILayerVisitor& visitor)
+{
+    auto network = boost::polymorphic_downcast<const Network*>(inputNetwork);
+
+    auto graph = network->GetGraph().TopologicalSort();
+    for (auto layer : graph)
+    {
+        layer->Accept(visitor);
+    }
+}
+
+BOOST_AUTO_TEST_CASE(QuantizeAddition)
+{
+    class TestQuantization : public LayerVisitorBase<VisitorThrowingPolicy>
+    {
+    public:
+        virtual void VisitAdditionLayer(const IConnectableLayer* layer,
+                                        const char* name = nullptr)
+        {
+            TensorInfo info = layer->GetOutputSlot(0).GetTensorInfo();
+
+            BOOST_TEST((info.GetDataType() ==  DataType::QuantisedAsymm8));
+
+            BOOST_TEST((info.GetQuantizationOffset() == 128));
+
+            // Based off current static value [-20.0f, 20.0f]
+            BOOST_CHECK_CLOSE(info.GetQuantizationScale(), 40.0f/255.0f, 0.000001f );
+        }
+
+        virtual void VisitInputLayer(const IConnectableLayer* layer,
+                                     LayerBindingId id,
+                                     const char* name = nullptr)
+        {
+            TensorInfo info = layer->GetOutputSlot(0).GetTensorInfo();
+
+            BOOST_TEST((info.GetDataType() ==  DataType::QuantisedAsymm8));
+
+            BOOST_TEST((info.GetQuantizationOffset() == 128));
+
+            // Based off current default [-15.0f, 15.0f]
+            BOOST_CHECK_CLOSE(info.GetQuantizationScale(), 30.0f/255.0f, 0.000001f );
+        }
+
+        virtual void VisitOutputLayer(const IConnectableLayer* layer,
+                                      LayerBindingId id,
+                                      const char* name = nullptr)
+        {}
+    };
+
+    auto network = INetwork::Create();
+
+    // Add the layers
+    IConnectableLayer* input0 = network->AddInputLayer(0);
+    IConnectableLayer* input1 = network->AddInputLayer(1);
+    IConnectableLayer* addition = network->AddAdditionLayer();
+    IConnectableLayer* output = network->AddOutputLayer(2);
+
+    // Establish connections
+    input0->GetOutputSlot(0).Connect(addition->GetInputSlot(0));
+    input1->GetOutputSlot(0).Connect(addition->GetInputSlot(1));
+    addition->GetOutputSlot(0).Connect(output->GetInputSlot(0));
+
+    //Set TensorInfo
+    TensorShape shape{1U};
+    TensorInfo info(shape, DataType::Float32);
+    input0->GetOutputSlot(0).SetTensorInfo(info);
+    input1->GetOutputSlot(0).SetTensorInfo(info);
+    addition->GetOutputSlot(0).SetTensorInfo(info);
+
+    auto quantizedNetwork = INetworkQuantizer::Create(network.get())->ExportNetwork();
+    TestQuantization validator;
+    VisitLayersTopologically(quantizedNetwork.get(), validator);
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+} //namespace armnn
-- 
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