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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(DeserializeParser)
struct FullyConnectedFixture : public ParserFlatbuffersSerializeFixture
{
explicit FullyConnectedFixture(const std::string & inputShape1,
const std::string & outputShape,
const std::string & weightsShape,
const std::string & dataType)
{
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: )" + inputShape1 + R"(,
dataType: )" + dataType + R"(,
quantizationScale: 1.0,
quantizationOffset: 0
},
}]
},
}
},
},
{
layer_type: "FullyConnectedLayer",
layer : {
base: {
index:1,
layerName: "FullyConnectedLayer",
layerType: "FullyConnected",
inputSlots: [{
index: 0,
connection: {sourceLayerIndex:0, outputSlotIndex:0 },
}],
outputSlots: [{
index: 0,
tensorInfo: {
dimensions: )" + outputShape + R"(,
dataType: )" + dataType + R"(,
quantizationScale: 2.0,
quantizationOffset: 0
},
}],
},
descriptor: {
biasEnabled: false,
transposeWeightsMatrix: true
},
weights: {
info: {
dimensions: )" + weightsShape + R"(,
dataType: )" + dataType + R"(,
quantizationScale: 1.0,
quantizationOffset: 0
},
data_type: ByteData,
data: {
data: [
2, 3, 4, 5
],
}
}
},
},
{
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 FullyConnectedWithNoBiasFixture : FullyConnectedFixture
{
FullyConnectedWithNoBiasFixture()
: FullyConnectedFixture("[ 1, 4, 1, 1 ]", // inputShape
"[ 1, 1 ]", // outputShape
"[ 1, 4 ]", // filterShape
"QuantisedAsymm8") // filterData
{}
};
BOOST_FIXTURE_TEST_CASE(FullyConnectedWithNoBias, FullyConnectedWithNoBiasFixture)
{
RunTest<2, armnn::DataType::QAsymmU8>(
0,
{{"InputLayer", { 10, 20, 30, 40 }}},
{{"OutputLayer", { 400/2 }}});
}
BOOST_AUTO_TEST_SUITE_END()