blob: 53212b58f99212d0caf661e7f81371ebcacfbad8 [file] [log] [blame]
//
// Copyright © 2017 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 TransposeConvFixture : public ParserFlatbuffersFixture
{
explicit TransposeConvFixture(const std::string& inputShape,
const std::string& outputShape,
const std::string& filterShape,
const std::string& filterData,
const std::string& strideX,
const std::string& strideY,
const std::string& dataType)
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [ { "builtin_code": "TRANSPOSE_CONV" } ],
"subgraphs": [ {
"tensors": [
{
"shape": [ 4 ],
"type": "UINT8",
"buffer": 0,
"name": "outputShapeTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
},
{
"shape": )" + filterShape + R"(,
"type": ")" + dataType + R"(",
"buffer": 1,
"name": "filterTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
},
{
"shape": )" + inputShape + R"(,
"type": ")" + dataType + R"(",
"buffer": 2,
"name": "inputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
},
{
"shape": )" + outputShape + R"(,
"type": ")" + dataType + R"(",
"buffer": 3,
"name": "outputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
}
],
"inputs": [ 2 ],
"outputs": [ 3 ],
"operators": [
{
"opcode_index": 0,
"inputs": [ 0, 1, 2 ],
"outputs": [ 3 ],
"builtin_options_type": "TransposeConvOptions",
"builtin_options": {
"padding": "SAME",
"stride_w": )" + strideX + R"(,
"stride_h": )" + strideY + R"(
},
"custom_options_format": "FLEXBUFFERS"
}
],
} ],
"buffers" : [
{ "data": )" + outputShape + R"( },
{ "data": )" + filterData + R"( },
{ },
{ }
]
}
)";
SetupSingleInputSingleOutput("inputTensor", "outputTensor");
}
};
struct SimpleTransposeConvFixture : TransposeConvFixture
{
SimpleTransposeConvFixture()
: TransposeConvFixture("[ 1, 2, 2, 1 ]", // inputShape
"[ 1, 3, 3, 1 ]", // outputShape
"[ 1, 2, 2, 1 ]", // filterShape
"[ 0, 1, 2, 4 ]", // filterData
"1", // strideX
"1", // strideY
"UINT8") // dataType
{}
};
BOOST_FIXTURE_TEST_CASE( ParseSimpleTransposeConv, SimpleTransposeConvFixture )
{
RunTest<4, armnn::DataType::QuantisedAsymm8>(
0,
{
1, 2,
3, 4
},
{
0, 1, 2,
2, 11, 12,
6, 20, 16
});
}
BOOST_AUTO_TEST_SUITE_END()