From fc413c0c977e6c9680a2aa6546e977be0a2efdb9 Mon Sep 17 00:00:00 2001
From: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Date: Wed, 13 Feb 2019 15:41:52 +0000
Subject: IVGCVSW-2644 Add Serializer & Deserializer for Softmax

Change-Id: Ifea2108e173d2b602162fe53b880a68e1c715510
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
---
 src/armnnSerializer/test/SerializerTests.cpp | 91 ++++++++++++++++++++++++++++
 1 file changed, 91 insertions(+)

(limited to 'src/armnnSerializer/test')

diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index ab4bc0fe0b..5b55682dfa 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -5,12 +5,23 @@
 
 #include <armnn/ArmNN.hpp>
 #include <armnn/INetwork.hpp>
+
 #include "../Serializer.hpp"
+
+#include <armnnDeserializeParser/IDeserializeParser.hpp>
+
+#include <numeric>
 #include <sstream>
+#include <vector>
+
 #include <boost/test/unit_test.hpp>
 
+#include <flatbuffers/idl.h>
+
 BOOST_AUTO_TEST_SUITE(SerializerTests)
 
+armnnDeserializeParser::IDeserializeParserPtr g_Parser = armnnDeserializeParser::IDeserializeParser::Create();
+
 BOOST_AUTO_TEST_CASE(SimpleNetworkSerialization)
 {
     armnn::INetworkPtr network = armnn::INetwork::Create();
@@ -58,4 +69,84 @@ BOOST_AUTO_TEST_CASE(SimpleNetworkWithMultiplicationSerialization)
     BOOST_TEST(stream.str().find(multLayerName) != stream.str().npos);
 }
 
+BOOST_AUTO_TEST_CASE(SimpleSoftmaxIntegration)
+{
+    armnn::TensorInfo tensorInfo({1, 10}, armnn::DataType::Float32);
+
+    armnn::SoftmaxDescriptor descriptor;
+    descriptor.m_Beta = 1.0f;
+
+    // Create test network
+    armnn::INetworkPtr network = armnn::INetwork::Create();
+    armnn::IConnectableLayer *const inputLayer   = network->AddInputLayer(0);
+    armnn::IConnectableLayer *const softmaxLayer = network->AddSoftmaxLayer(descriptor, "softmax");
+    armnn::IConnectableLayer *const outputLayer  = network->AddOutputLayer(0);
+
+    inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0));
+    inputLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo);
+    softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
+    softmaxLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo);
+
+    // Serialize
+    armnnSerializer::Serializer serializer;
+    serializer.Serialize(*network);
+    std::stringstream stream;
+    serializer.SaveSerializedToStream(stream);
+    const std::string serializerString{stream.str()};
+
+    // Deserialize
+    armnn::INetworkPtr deserializedNetwork =
+        g_Parser->CreateNetworkFromBinary({serializerString.begin(), serializerString.end()});
+    BOOST_CHECK(deserializedNetwork);
+
+    armnn::IRuntime::CreationOptions options;
+    armnn::IRuntimePtr run = armnn::IRuntime::Create(options);
+
+    armnn::IOptimizedNetworkPtr optimizedNetwork =
+        armnn::Optimize(*network, {armnn::Compute::CpuRef}, run->GetDeviceSpec());
+    BOOST_CHECK(optimizedNetwork);
+
+    armnn::IOptimizedNetworkPtr deserializedOptimizedNetwork =
+        armnn::Optimize(*deserializedNetwork, {armnn::Compute::CpuRef}, run->GetDeviceSpec());
+    BOOST_CHECK(deserializedOptimizedNetwork);
+
+    armnn::NetworkId networkId1;
+    armnn::NetworkId networkId2;
+
+    run->LoadNetwork(networkId1, std::move(optimizedNetwork));
+    run->LoadNetwork(networkId2, std::move(deserializedOptimizedNetwork));
+
+    std::vector<float> inputData(tensorInfo.GetNumElements());
+    std::iota(inputData.begin(), inputData.end(), 0);
+
+    armnn::InputTensors inputTensors1
+    {
+         {0, armnn::ConstTensor(run->GetInputTensorInfo(networkId1, 0), inputData.data())}
+    };
+
+    armnn::InputTensors inputTensors2
+    {
+         {0, armnn::ConstTensor(run->GetInputTensorInfo(networkId2, 0), inputData.data())}
+    };
+
+    std::vector<float> outputData1(inputData.size());
+    std::vector<float> outputData2(inputData.size());
+
+    armnn::OutputTensors outputTensors1
+    {
+         {0, armnn::Tensor(run->GetOutputTensorInfo(networkId1, 0), outputData1.data())}
+    };
+
+    armnn::OutputTensors outputTensors2
+    {
+         {0, armnn::Tensor(run->GetOutputTensorInfo(networkId2, 0), outputData2.data())}
+    };
+
+    run->EnqueueWorkload(networkId1, inputTensors1, outputTensors1);
+    run->EnqueueWorkload(networkId2, inputTensors2, outputTensors2);
+
+    BOOST_CHECK_EQUAL_COLLECTIONS(outputData1.begin(), outputData1.end(),
+                                  outputData2.begin(), outputData2.end());
+}
+
 BOOST_AUTO_TEST_SUITE_END()
-- 
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