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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 ActivationFixture : public ParserFlatbuffersSerializeFixture
{
explicit ActivationFixture(const std::string& inputShape,
const std::string& outputShape,
const std::string& dataType,
const std::string& activationType="Sigmoid",
const std::string& a = "0.0",
const std::string& b = "0.0")
{
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"(
},
}],
},
}
},
},
{
layer_type: "ActivationLayer",
layer : {
base: {
index:1,
layerName: "ActivationLayer",
layerType: "Activation",
inputSlots: [{
index: 0,
connection: {sourceLayerIndex:0, outputSlotIndex:0 },
}],
outputSlots: [{
index: 0,
tensorInfo: {
dimensions: )" + outputShape + R"(,
dataType: )" + dataType + R"(
},
}],
},
descriptor: {
a: )" + a + R"(,
b: )" + b + R"(,
function: )" + activationType + R"(
},
},
},
{
layer_type: "OutputLayer",
layer: {
base:{
layerBindingId: 2,
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 SimpleActivationFixture : ActivationFixture
{
SimpleActivationFixture() : ActivationFixture("[1, 2, 2, 1]",
"[1, 2, 2, 1]",
"QuantisedAsymm8",
"ReLu") {}
};
struct SimpleActivationFixture2 : ActivationFixture
{
SimpleActivationFixture2() : ActivationFixture("[1, 2, 2, 1]",
"[1, 2, 2, 1]",
"Float32",
"ReLu") {}
};
struct SimpleActivationFixture3 : ActivationFixture
{
SimpleActivationFixture3() : ActivationFixture("[1, 2, 2, 1]",
"[1, 2, 2, 1]",
"QuantisedAsymm8",
"BoundedReLu",
"5.0",
"0.0") {}
};
struct SimpleActivationFixture4 : ActivationFixture
{
SimpleActivationFixture4() : ActivationFixture("[1, 2, 2, 1]",
"[1, 2, 2, 1]",
"Float32",
"BoundedReLu",
"5.0",
"0.0") {}
};
BOOST_FIXTURE_TEST_CASE(ActivationReluQuantisedAsymm8, SimpleActivationFixture)
{
RunTest<4, armnn::DataType::QuantisedAsymm8>(
0,
{{"InputLayer", {10, 0, 2, 0}}},
{{"OutputLayer", {10, 0, 2, 0}}});
}
BOOST_FIXTURE_TEST_CASE(ActivationReluFloat32, SimpleActivationFixture2)
{
RunTest<4, armnn::DataType::Float32>(
0,
{{"InputLayer", {111, -85, 226, 3}}},
{{"OutputLayer", {111, 0, 226, 3}}});
}
BOOST_FIXTURE_TEST_CASE(ActivationBoundedReluQuantisedAsymm8, SimpleActivationFixture3)
{
RunTest<4, armnn::DataType::QuantisedAsymm8>(
0,
{{"InputLayer", {10, 0, 2, 0}}},
{{"OutputLayer", {5, 0, 2, 0}}});
}
BOOST_FIXTURE_TEST_CASE(ActivationBoundedReluFloat32, SimpleActivationFixture4)
{
RunTest<4, armnn::DataType::Float32>(
0,
{{"InputLayer", {111, -85, 226, 3}}},
{{"OutputLayer", {5, 0, 5, 3}}});
}
BOOST_AUTO_TEST_SUITE_END()
|
