ParserHelperTest.cpp File Reference

#include "../ParserHelper.hpp"
#include <armnn/Tensor.hpp>
#include <armnn/Types.hpp>
#include <boost/test/unit_test.hpp>

Go to the source code of this file.

Functions
	BOOST_AUTO_TEST_CASE (CalculateReducedOutputTensoInfoTest)

Function Documentation

BOOST_AUTO_TEST_CASE()

BOOST_AUTO_TEST_CASE

(

CalculateReducedOutputTensoInfoTest

)

Definition at line 19 of file ParserHelperTest.cpp.

References BOOST_AUTO_TEST_SUITE_END(), armnnUtils::CalculateReducedOutputTensoInfo(), armnn::Float32, TensorInfo::GetNumDimensions(), and TensorInfo::GetShape().

{
    bool keepDims = false;

    unsigned int inputShape[] = { 2, 3, 4 };
    TensorInfo inputTensorInfo(3, &inputShape[0], DataType::Float32);

    // Reducing all dimensions results in one single output value (one dimension)
    std::set<unsigned int> axisData1 = { 0, 1, 2 };
    TensorInfo outputTensorInfo1;

    CalculateReducedOutputTensoInfo(inputTensorInfo, axisData1, keepDims, outputTensorInfo1);

    BOOST_ASSERT(outputTensorInfo1.GetNumDimensions() == 1);
    BOOST_ASSERT(outputTensorInfo1.GetShape()[0] == 1);

    // Reducing dimension 0 results in a 3x4 size tensor (one dimension)
    std::set<unsigned int> axisData2 = { 0 };
    TensorInfo outputTensorInfo2;

    CalculateReducedOutputTensoInfo(inputTensorInfo, axisData2, keepDims, outputTensorInfo2);

    BOOST_ASSERT(outputTensorInfo2.GetNumDimensions() == 1);
    BOOST_ASSERT(outputTensorInfo2.GetShape()[0] == 12);

    // Reducing dimensions 0,1 results in a 4 size tensor (one dimension)
    std::set<unsigned int> axisData3 = { 0, 1 };
    TensorInfo outputTensorInfo3;

    CalculateReducedOutputTensoInfo(inputTensorInfo, axisData3, keepDims, outputTensorInfo3);

    BOOST_ASSERT(outputTensorInfo3.GetNumDimensions() == 1);
    BOOST_ASSERT(outputTensorInfo3.GetShape()[0] == 4);

    // Reducing dimension 0 results in a { 1, 3, 4 } dimension tensor
    keepDims = true;
    std::set<unsigned int> axisData4 = { 0 };

    TensorInfo outputTensorInfo4;

    CalculateReducedOutputTensoInfo(inputTensorInfo, axisData4, keepDims, outputTensorInfo4);

    BOOST_ASSERT(outputTensorInfo4.GetNumDimensions() == 3);
    BOOST_ASSERT(outputTensorInfo4.GetShape()[0] == 1);
    BOOST_ASSERT(outputTensorInfo4.GetShape()[1] == 3);
    BOOST_ASSERT(outputTensorInfo4.GetShape()[2] == 4);

    // Reducing dimension 1, 2 results in a { 2, 1, 1 } dimension tensor
    keepDims = true;
    std::set<unsigned int> axisData5 = { 1, 2 };

    TensorInfo outputTensorInfo5;

    CalculateReducedOutputTensoInfo(inputTensorInfo, axisData5,  keepDims, outputTensorInfo5);

    BOOST_ASSERT(outputTensorInfo5.GetNumDimensions() == 3);
    BOOST_ASSERT(outputTensorInfo5.GetShape()[0] == 2);
    BOOST_ASSERT(outputTensorInfo5.GetShape()[1] == 1);
    BOOST_ASSERT(outputTensorInfo5.GetShape()[2] == 1);

}