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//
// Copyright © 2019 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <boost/test/unit_test.hpp>
#include "ParserFlatbuffersFixture.hpp"
#include "../TfLiteParser.hpp"
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
struct SliceFixture : public ParserFlatbuffersFixture
{
explicit SliceFixture(const std::string & inputShape,
const std::string & outputShape,
const std::string & beginData,
const std::string & sizeData)
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [
{
"builtin_code": "SLICE",
"version": 1
}
],
"subgraphs": [
{
"tensors": [
{
"shape": )" + inputShape + R"(,
"type": "FLOAT32",
"buffer": 0,
"name": "inputTensor",
"quantization": {
"min": [
0.0
],
"max": [
255.0
],
"details_type": 0,
"quantized_dimension": 0
},
"is_variable": false
},
{
"shape": )" + outputShape + R"(,
"type": "FLOAT32",
"buffer": 1,
"name": "outputTensor",
"quantization": {
"details_type": 0,
"quantized_dimension": 0
},
"is_variable": false
})";
m_JsonString += R"(,
{
"shape": [
3
],
"type": "INT32",
"buffer": 2,
"name": "beginTensor",
"quantization": {
}
})";
m_JsonString += R"(,
{
"shape": [
3
],
"type": "INT32",
"buffer": 3,
"name": "sizeTensor",
"quantization": {
}
})";
m_JsonString += R"(],
"inputs": [
0
],
"outputs": [
1
],
"operators": [
{
"opcode_index": 0,
"inputs": [
0,
2,
3)";
m_JsonString += R"(],
"outputs": [
1
],
mutating_variable_inputs: [
]
}
]
}
],
"description": "TOCO Converted.",
"buffers": [
{ },
{ })";
m_JsonString += R"(,{"data": )" + beginData + R"( })";
m_JsonString += R"(,{"data": )" + sizeData + R"( })";
m_JsonString += R"(
]
}
)";
SetupSingleInputSingleOutput("inputTensor", "outputTensor");
}
};
struct SliceFixtureSingleDim : SliceFixture
{
SliceFixtureSingleDim() : SliceFixture("[ 3, 2, 3 ]",
"[ 1, 1, 3 ]",
"[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]",
"[ 1, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]") {}
};
BOOST_FIXTURE_TEST_CASE(SliceSingleDim, SliceFixtureSingleDim)
{
RunTest<3, armnn::DataType::Float32>(
0,
{{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}},
{{"outputTensor", { 3, 3, 3 }}});
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
== armnn::TensorShape({1,1,3})));
}
struct SliceFixtureD123 : SliceFixture
{
SliceFixtureD123() : SliceFixture("[ 3, 2, 3 ]",
"[ 1, 2, 3 ]",
"[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]",
"[ 1, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 0 ]") {}
};
BOOST_FIXTURE_TEST_CASE(SliceD123, SliceFixtureD123)
{
RunTest<3, armnn::DataType::Float32>(
0,
{{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}},
{{"outputTensor", { 3, 3, 3, 4, 4, 4 }}});
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
== armnn::TensorShape({1,2,3})));
}
struct SliceFixtureD213 : SliceFixture
{
SliceFixtureD213() : SliceFixture("[ 3, 2, 3 ]",
"[ 2, 1, 3 ]",
"[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]",
"[ 2, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]") {}
};
BOOST_FIXTURE_TEST_CASE(SliceD213, SliceFixtureD213)
{
RunTest<3, armnn::DataType::Float32>(
0,
{{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}},
{{"outputTensor", { 3, 3, 3, 5, 5, 5 }}});
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
== armnn::TensorShape({2,1,3})));
}
BOOST_AUTO_TEST_SUITE_END()
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