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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <boost/test/unit_test.hpp>
#include "ParserFlatbuffersFixture.hpp"
#include "../TfLiteParser.hpp"
#include <string>
#include <iostream>
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
struct SqueezeFixture : public ParserFlatbuffersFixture
{
explicit SqueezeFixture(const std::string& inputShape,
const std::string& outputShape,
const std::string& squeezeDims)
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [ { "builtin_code": "SQUEEZE" } ],
"subgraphs": [ {
"tensors": [
{)";
m_JsonString += R"(
"shape" : )" + inputShape + ",";
m_JsonString += R"(
"type": "UINT8",
"buffer": 0,
"name": "inputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
},
{)";
m_JsonString += R"(
"shape" : )" + outputShape;
m_JsonString += R"(,
"type": "UINT8",
"buffer": 1,
"name": "outputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
}
],
"inputs": [ 0 ],
"outputs": [ 1 ],
"operators": [
{
"opcode_index": 0,
"inputs": [ 0 ],
"outputs": [ 1 ],
"builtin_options_type": "SqueezeOptions",
"builtin_options": {)";
if (!squeezeDims.empty())
{
m_JsonString += R"("squeeze_dims" : )" + squeezeDims;
}
m_JsonString += R"(},
"custom_options_format": "FLEXBUFFERS"
}
],
} ],
"buffers" : [ {}, {} ]
}
)";
}
};
struct SqueezeFixtureWithSqueezeDims : SqueezeFixture
{
SqueezeFixtureWithSqueezeDims() : SqueezeFixture("[ 1, 2, 2, 1 ]", "[ 2, 2, 1 ]", "[ 0, 1, 2 ]") {}
};
BOOST_FIXTURE_TEST_CASE(ParseSqueezeWithSqueezeDims, SqueezeFixtureWithSqueezeDims)
{
SetupSingleInputSingleOutput("inputTensor", "outputTensor");
RunTest<3, armnn::DataType::QuantisedAsymm8>(0, { 1, 2, 3, 4 }, { 1, 2, 3, 4 });
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
== armnn::TensorShape({2,2,1})));
}
struct SqueezeFixtureWithoutSqueezeDims : SqueezeFixture
{
SqueezeFixtureWithoutSqueezeDims() : SqueezeFixture("[ 1, 2, 2, 1 ]", "[ 2, 2 ]", "") {}
};
BOOST_FIXTURE_TEST_CASE(ParseSqueezeWithoutSqueezeDims, SqueezeFixtureWithoutSqueezeDims)
{
SetupSingleInputSingleOutput("inputTensor", "outputTensor");
RunTest<2, armnn::DataType::QuantisedAsymm8>(0, { 1, 2, 3, 4 }, { 1, 2, 3, 4 });
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
== armnn::TensorShape({2,2})));
}
struct SqueezeFixtureWithInvalidInput : SqueezeFixture
{
SqueezeFixtureWithInvalidInput() : SqueezeFixture("[ 1, 2, 2, 1, 2 ]", "[ 1, 2, 2, 1 ]", "[ ]") {}
};
BOOST_FIXTURE_TEST_CASE(ParseSqueezeInvalidInput, SqueezeFixtureWithInvalidInput)
{
BOOST_CHECK_THROW((SetupSingleInputSingleOutput("inputTensor", "outputTensor")),
armnn::InvalidArgumentException);
}
struct SqueezeFixtureWithSqueezeDimsSizeInvalid : SqueezeFixture
{
SqueezeFixtureWithSqueezeDimsSizeInvalid() : SqueezeFixture("[ 1, 2, 2, 1 ]",
"[ 1, 2, 2, 1 ]",
"[ 1, 2, 2, 2, 2 ]") {}
};
BOOST_FIXTURE_TEST_CASE(ParseSqueezeInvalidSqueezeDims, SqueezeFixtureWithSqueezeDimsSizeInvalid)
{
BOOST_CHECK_THROW((SetupSingleInputSingleOutput("inputTensor", "outputTensor")), armnn::ParseException);
}
struct SqueezeFixtureWithNegativeSqueezeDims : SqueezeFixture
{
SqueezeFixtureWithNegativeSqueezeDims() : SqueezeFixture("[ 1, 2, 2, 1 ]",
"[ 1, 2, 2, 1 ]",
"[ -2 , 2 ]") {}
};
BOOST_FIXTURE_TEST_CASE(ParseSqueezeNegativeSqueezeDims, SqueezeFixtureWithNegativeSqueezeDims)
{
BOOST_CHECK_THROW((SetupSingleInputSingleOutput("inputTensor", "outputTensor")), armnn::ParseException);
}
BOOST_AUTO_TEST_SUITE_END()
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