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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <boost/test/unit_test.hpp>
#include "ParserFlatbuffersSerializeFixture.hpp"
#include "../Deserializer.hpp"
#include <string>
#include <iostream>
BOOST_AUTO_TEST_SUITE(Deserializer)
struct L2NormalizationFixture : public ParserFlatbuffersSerializeFixture
{
explicit L2NormalizationFixture(const std::string &inputShape,
const std::string &outputShape,
const std::string &dataType,
const std::string &dataLayout,
const std::string epsilon)
{
m_JsonString = R"(
{
inputIds: [0],
outputIds: [2],
layers: [
{
layer_type: "InputLayer",
layer: {
base: {
layerBindingId: 0,
base: {
index: 0,
layerName: "InputLayer",
layerType: "Input",
inputSlots: [{
index: 0,
connection: {sourceLayerIndex:0, outputSlotIndex:0 },
}],
outputSlots: [{
index: 0,
tensorInfo: {
dimensions: )" + inputShape + R"(,
dataType: ")" + dataType + R"(",
quantizationScale: 0.5,
quantizationOffset: 0
},
}]
},
}
},
},
{
layer_type: "L2NormalizationLayer",
layer : {
base: {
index:1,
layerName: "L2NormalizationLayer",
layerType: "L2Normalization",
inputSlots: [{
index: 0,
connection: {sourceLayerIndex:0, outputSlotIndex:0 },
}],
outputSlots: [{
index: 0,
tensorInfo: {
dimensions: )" + outputShape + R"(,
dataType: ")" + dataType + R"("
},
}],
},
descriptor: {
dataLayout: ")" + dataLayout + R"(",
eps: )" + epsilon + R"(
},
},
},
{
layer_type: "OutputLayer",
layer: {
base:{
layerBindingId: 0,
base: {
index: 2,
layerName: "OutputLayer",
layerType: "Output",
inputSlots: [{
index: 0,
connection: {sourceLayerIndex:1, outputSlotIndex:0 },
}],
outputSlots: [ {
index: 0,
tensorInfo: {
dimensions: )" + outputShape + R"(,
dataType: ")" + dataType + R"("
},
}],
}
}},
}]
}
)";
Setup();
}
};
struct L2NormFixture : L2NormalizationFixture
{
// Using a non standard epsilon value of 1e-8
L2NormFixture():L2NormalizationFixture("[ 1, 3, 1, 1 ]",
"[ 1, 3, 1, 1 ]",
"Float32",
"NCHW",
"0.00000001"){}
};
BOOST_FIXTURE_TEST_CASE(L2NormalizationFloat32, L2NormFixture)
{
// 1 / sqrt(1^2 + 2^2 + 3^2)
const float approxInvL2Norm = 0.267261f;
RunTest<4, armnn::DataType::Float32>(0,
{{"InputLayer", { 1.0f, 2.0f, 3.0f }}},
{{"OutputLayer",{ 1.0f * approxInvL2Norm,
2.0f * approxInvL2Norm,
3.0f * approxInvL2Norm }}});
}
BOOST_FIXTURE_TEST_CASE(L2NormalizationEpsilonLimitFloat32, L2NormFixture)
{
// 1 / sqrt(1e-8)
const float approxInvL2Norm = 10000;
RunTest<4, armnn::DataType::Float32>(0,
{{"InputLayer", { 0.00000001f, 0.00000002f, 0.00000003f }}},
{{"OutputLayer",{ 0.00000001f * approxInvL2Norm,
0.00000002f * approxInvL2Norm,
0.00000003f * approxInvL2Norm }}});
}
BOOST_AUTO_TEST_SUITE_END()
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