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//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ParserFlatbuffersSerializeFixture.hpp"
#include <armnnDeserializer/IDeserializer.hpp>
#include <string>
TEST_SUITE("Deserializer_Pooling3d")
{
struct Pooling3dFixture : public ParserFlatbuffersSerializeFixture
{
explicit Pooling3dFixture(const std::string &inputShape,
const std::string &outputShape,
const std::string &dataType,
const std::string &dataLayout,
const std::string &poolingAlgorithm)
{
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: "Pooling3dLayer",
layer: {
base: {
index: 1,
layerName: "Pooling3dLayer",
layerType: "Pooling3d",
inputSlots: [{
index: 0,
connection: {sourceLayerIndex:0, outputSlotIndex:0 },
}],
outputSlots: [ {
index: 0,
tensorInfo: {
dimensions: )" + outputShape + R"(,
dataType: )" + dataType + R"(
}}]},
descriptor: {
poolType: )" + poolingAlgorithm + R"(,
outputShapeRounding: "Floor",
paddingMethod: Exclude,
dataLayout: )" + dataLayout + R"(,
padLeft: 0,
padRight: 0,
padTop: 0,
padBottom: 0,
padFront: 0,
padBack: 0,
poolWidth: 2,
poolHeight: 2,
poolDepth: 2,
strideX: 2,
strideY: 2,
strideZ: 2
}
}},
{
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"(
},
}],
}}},
}]
}
)";
SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
}
};
struct SimpleAvgPooling3dFixture : Pooling3dFixture
{
SimpleAvgPooling3dFixture() : Pooling3dFixture("[ 1, 2, 2, 2, 1 ]",
"[ 1, 1, 1, 1, 1 ]",
"Float32", "NDHWC", "Average") {}
};
struct SimpleAvgPooling3dFixture2 : Pooling3dFixture
{
SimpleAvgPooling3dFixture2() : Pooling3dFixture("[ 1, 2, 2, 2, 1 ]",
"[ 1, 1, 1, 1, 1 ]",
"QuantisedAsymm8", "NDHWC", "Average") {}
};
struct SimpleMaxPooling3dFixture : Pooling3dFixture
{
SimpleMaxPooling3dFixture() : Pooling3dFixture("[ 1, 1, 2, 2, 2 ]",
"[ 1, 1, 1, 1, 1 ]",
"Float32", "NCDHW", "Max") {}
};
struct SimpleMaxPooling3dFixture2 : Pooling3dFixture
{
SimpleMaxPooling3dFixture2() : Pooling3dFixture("[ 1, 1, 2, 2, 2 ]",
"[ 1, 1, 1, 1, 1 ]",
"QuantisedAsymm8", "NCDHW", "Max") {}
};
struct SimpleL2Pooling3dFixture : Pooling3dFixture
{
SimpleL2Pooling3dFixture() : Pooling3dFixture("[ 1, 2, 2, 2, 1 ]",
"[ 1, 1, 1, 1, 1 ]",
"Float32", "NDHWC", "L2") {}
};
TEST_CASE_FIXTURE(SimpleAvgPooling3dFixture, "Pooling3dFloat32Avg")
{
RunTest<5, armnn::DataType::Float32>(0, { 2, 3, 5, 2, 3, 2, 3, 4 }, { 3 });
}
TEST_CASE_FIXTURE(SimpleAvgPooling3dFixture2, "Pooling3dQuantisedAsymm8Avg")
{
RunTest<5, armnn::DataType::QAsymmU8>(0,{ 20, 40, 60, 80, 50, 60, 70, 30 },{ 50 });
}
TEST_CASE_FIXTURE(SimpleMaxPooling3dFixture, "Pooling3dFloat32Max")
{
RunTest<5, armnn::DataType::Float32>(0, { 2, 5, 5, 2, 1, 3, 4, 0 }, { 5 });
}
TEST_CASE_FIXTURE(SimpleMaxPooling3dFixture2, "Pooling3dQuantisedAsymm8Max")
{
RunTest<5, armnn::DataType::QAsymmU8>(0,{ 20, 40, 60, 80, 10, 40, 0, 70 },{ 80 });
}
TEST_CASE_FIXTURE(SimpleL2Pooling3dFixture, "Pooling3dFloat32L2")
{
RunTest<5, armnn::DataType::Float32>(0, { 2, 3, 5, 2, 4, 1, 1, 3 }, { 2.93683503112f });
}
}
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