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//
// Copyright © 2019 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ParserFlatbuffersSerializeFixture.hpp"
#include <armnnDeserializer/IDeserializer.hpp>
#include <boost/test/unit_test.hpp>
#include <string>
BOOST_AUTO_TEST_SUITE(Deserializer)
struct DepthToSpaceFixture : public ParserFlatbuffersSerializeFixture
{
explicit DepthToSpaceFixture(const std::string& inputShape,
const std::string& outputShape,
const std::string& blockSize,
const std::string& dataLayout,
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: )" + inputShape + R"(,
dataType: )" + dataType + R"(
}
}]
}
}
}
},
{
layer_type: "DepthToSpaceLayer",
layer: {
base: {
index: 1,
layerName: "DepthToSpaceLayer",
layerType: "DepthToSpace",
inputSlots: [{
index: 0,
connection: {sourceLayerIndex:0, outputSlotIndex:0 },
}],
outputSlots: [{
index: 0,
tensorInfo: {
dimensions: )" + outputShape + R"(,
dataType: )" + dataType + R"(
}
}]
},
descriptor: {
blockSize: )" + blockSize + R"(,
dataLayout: )" + dataLayout + 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"(
},
}],
}
}
},
}
]
}
)";
SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
}
};
struct DepthToSpaceFloat32Fixture : DepthToSpaceFixture
{
DepthToSpaceFloat32Fixture() : DepthToSpaceFixture("[ 1, 2, 2, 4 ]", // input shape
"[ 1, 4, 4, 1 ]", // output shape
"2", // block size
"NHWC", // data layout
"Float32") {} // data type
};
BOOST_FIXTURE_TEST_CASE(DepthToSpaceFloat32, DepthToSpaceFloat32Fixture)
{
RunTest<4, armnn::DataType::Float32>(
0,
{
1.f, 2.f, 3.f, 4.f,
5.f, 6.f, 7.f, 8.f,
9.f, 10.f, 11.f, 12.f,
13.f, 14.f, 15.f, 16.f
},
{
1.f, 2.f, 5.f, 6.f,
3.f, 4.f, 7.f, 8.f,
9.f, 10.f, 13.f, 14.f,
11.f, 12.f, 15.f, 16.f
});
}
BOOST_AUTO_TEST_SUITE_END()
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