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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <boost/test/unit_test.hpp>
#include "armnnTfParser/ITfParser.hpp"
#include "ParserPrototxtFixture.hpp"
BOOST_AUTO_TEST_SUITE(TensorflowParser)
struct ShapeFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
{
ShapeFixture()
{
m_Prototext =
"node { \n"
" name: \"Placeholder\" \n"
" op: \"Placeholder\" \n"
" attr { \n"
" key: \"dtype\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"shape\" \n"
" value { \n"
" shape { \n"
" dim { \n"
" size: 1 \n"
" } \n"
" dim { \n"
" size: 1 \n"
" } \n"
" dim { \n"
" size: 1 \n"
" } \n"
" dim { \n"
" size: 4 \n"
" } \n"
" } \n"
" } \n"
" } \n"
"} \n"
"node { \n"
" name: \"shapeTest\" \n"
" op: \"Shape\" \n"
" input: \"Placeholder\" \n"
" attr { \n"
" key: \"T\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"out_type\" \n"
" value { \n"
" type: DT_INT32 \n"
" } \n"
" } \n"
"} \n"
"node { \n"
" name: \"Reshape\" \n"
" op: \"Reshape\" \n"
" input: \"Placeholder\" \n"
" input: \"shapeTest\" \n"
" attr { \n"
" key: \"T\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"Tshape\" \n"
" value { \n"
" type: DT_INT32 \n"
" } \n"
" } \n"
"} \n";
SetupSingleInputSingleOutput({1, 4}, "Placeholder", "Reshape");
}
};
BOOST_FIXTURE_TEST_CASE(ParseShape, ShapeFixture)
{
// Note: the test's output cannot be an int32 const layer, because ARMNN only supports u8 and float layers.
// For that reason I added a reshape layer which reshapes the input to its original dimensions.
RunTest<2>({ 0.0f, 1.0f, 2.0f, 3.0f }, { 0.0f, 1.0f, 2.0f, 3.0f });
}
BOOST_AUTO_TEST_SUITE_END()
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