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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <boost/test/unit_test.hpp>
#include <armnn/Tensor.hpp>
namespace armnn
{
// Adds unit test framework for interpreting TensorInfo type.
std::ostream& boost_test_print_type(std::ostream& ostr, const TensorInfo& right)
{
ostr << "TensorInfo[ "
<< right.GetNumDimensions() << ","
<< right.GetShape()[0] << ","
<< right.GetShape()[1] << ","
<< right.GetShape()[2] << ","
<< right.GetShape()[3]
<< " ]" << std::endl;
return ostr;
}
std::ostream& boost_test_print_type(std::ostream& ostr, const TensorShape& shape)
{
ostr << "TensorShape[ "
<< shape.GetNumDimensions() << ","
<< shape[0] << ","
<< shape[1] << ","
<< shape[2] << ","
<< shape[3]
<< " ]" << std::endl;
return ostr;
}
} //namespace armnn
using namespace armnn;
BOOST_AUTO_TEST_SUITE(Tensor)
struct TensorInfoFixture
{
TensorInfoFixture()
{
unsigned int sizes[] = {6,7,8,9};
m_TensorInfo = TensorInfo(4, sizes, DataType::Float32);
}
~TensorInfoFixture() {};
TensorInfo m_TensorInfo;
};
BOOST_FIXTURE_TEST_CASE(ConstructShapeUsingListInitialization, TensorInfoFixture)
{
TensorShape listInitializedShape{ 6, 7, 8, 9 };
BOOST_TEST(listInitializedShape == m_TensorInfo.GetShape());
}
BOOST_FIXTURE_TEST_CASE(ConstructTensorInfo, TensorInfoFixture)
{
BOOST_TEST(m_TensorInfo.GetNumDimensions() == 4);
BOOST_TEST(m_TensorInfo.GetShape()[0] == 6); // <= Outer most
BOOST_TEST(m_TensorInfo.GetShape()[1] == 7);
BOOST_TEST(m_TensorInfo.GetShape()[2] == 8);
BOOST_TEST(m_TensorInfo.GetShape()[3] == 9); // <= Inner most
}
BOOST_FIXTURE_TEST_CASE(CopyConstructTensorInfo, TensorInfoFixture)
{
TensorInfo copyConstructed(m_TensorInfo);
BOOST_TEST(copyConstructed.GetNumDimensions() == 4);
BOOST_TEST(copyConstructed.GetShape()[0] == 6);
BOOST_TEST(copyConstructed.GetShape()[1] == 7);
BOOST_TEST(copyConstructed.GetShape()[2] == 8);
BOOST_TEST(copyConstructed.GetShape()[3] == 9);
}
BOOST_FIXTURE_TEST_CASE(TensorInfoEquality, TensorInfoFixture)
{
TensorInfo copyConstructed(m_TensorInfo);
BOOST_TEST(copyConstructed == m_TensorInfo);
}
BOOST_FIXTURE_TEST_CASE(TensorInfoInequality, TensorInfoFixture)
{
TensorInfo other;
unsigned int sizes[] = {2,3,4,5};
other = TensorInfo(4, sizes, DataType::Float32);
BOOST_TEST(other != m_TensorInfo);
}
BOOST_FIXTURE_TEST_CASE(TensorInfoAssignmentOperator, TensorInfoFixture)
{
TensorInfo copy;
copy = m_TensorInfo;
BOOST_TEST(copy == m_TensorInfo);
}
void CheckTensor(const ConstTensor& t)
{
t.GetInfo();
}
BOOST_AUTO_TEST_CASE(TensorVsConstTensor)
{
int mutableDatum = 2;
const int immutableDatum = 3;
armnn::Tensor uninitializedTensor;
armnn::ConstTensor uninitializedTensor2;
uninitializedTensor2 = uninitializedTensor;
armnn::Tensor t(TensorInfo(), &mutableDatum);
armnn::ConstTensor ct(TensorInfo(), &immutableDatum);
// Checks that both Tensor and ConstTensor can be passed as a ConstTensor.
CheckTensor(t);
CheckTensor(ct);
}
BOOST_AUTO_TEST_CASE(ModifyTensorInfo)
{
TensorInfo info;
info.SetShape({ 5, 6, 7, 8 });
BOOST_TEST((info.GetShape() == TensorShape({ 5, 6, 7, 8 })));
info.SetDataType(DataType::QAsymmU8);
BOOST_TEST((info.GetDataType() == DataType::QAsymmU8));
info.SetQuantizationScale(10.0f);
BOOST_TEST(info.GetQuantizationScale() == 10.0f);
info.SetQuantizationOffset(5);
BOOST_TEST(info.GetQuantizationOffset() == 5);
}
BOOST_AUTO_TEST_CASE(TensorShapeOperatorBrackets)
{
TensorShape shape({0,1,2,3});
// Checks version of operator[] which returns an unsigned int.
BOOST_TEST(shape[2] == 2);
// Checks the version of operator[] which returns a reference.
shape[2] = 20;
BOOST_TEST(shape[2] == 20);
}
BOOST_AUTO_TEST_CASE(TensorInfoPerAxisQuantization)
{
// Old constructor
TensorInfo tensorInfo0({ 1, 1 }, DataType::Float32, 2.0f, 1);
BOOST_CHECK(!tensorInfo0.HasMultipleQuantizationScales());
BOOST_CHECK(tensorInfo0.GetQuantizationScale() == 2.0f);
BOOST_CHECK(tensorInfo0.GetQuantizationOffset() == 1);
BOOST_CHECK(tensorInfo0.GetQuantizationScales()[0] == 2.0f);
BOOST_CHECK(!tensorInfo0.GetQuantizationDim().has_value());
// Set per-axis quantization scales
std::vector<float> perAxisScales{ 3.0f, 4.0f };
tensorInfo0.SetQuantizationScales(perAxisScales);
BOOST_CHECK(tensorInfo0.HasMultipleQuantizationScales());
BOOST_CHECK(tensorInfo0.GetQuantizationScales() == perAxisScales);
// Set per-tensor quantization scale
tensorInfo0.SetQuantizationScale(5.0f);
BOOST_CHECK(!tensorInfo0.HasMultipleQuantizationScales());
BOOST_CHECK(tensorInfo0.GetQuantizationScales()[0] == 5.0f);
// Set quantization offset
tensorInfo0.SetQuantizationDim(Optional<unsigned int>(1));
BOOST_CHECK(tensorInfo0.GetQuantizationDim().value() == 1);
// New constructor
perAxisScales = { 6.0f, 7.0f };
TensorInfo tensorInfo1({ 1, 1 }, DataType::Float32, perAxisScales, 1);
BOOST_CHECK(tensorInfo1.HasMultipleQuantizationScales());
BOOST_CHECK(tensorInfo1.GetQuantizationOffset() == 0);
BOOST_CHECK(tensorInfo1.GetQuantizationScales() == perAxisScales);
BOOST_CHECK(tensorInfo1.GetQuantizationDim().value() == 1);
}
BOOST_AUTO_TEST_SUITE_END()
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