FullyConnected.cpp File Reference

#include <boost/test/unit_test.hpp>
#include "ParserFlatbuffersFixture.hpp"
#include "../TfLiteParser.hpp"
#include <string>
#include <iostream>

Go to the source code of this file.

Functions
	BOOST_FIXTURE_TEST_CASE (FullyConnectedWithNoBias, FullyConnectedWithNoBiasFixture)
	BOOST_FIXTURE_TEST_CASE (ParseFullyConnectedWithBias, FullyConnectedWithBiasFixture)
	BOOST_FIXTURE_TEST_CASE (FullyConnectedWithBiasMultipleOutputs, FullyConnectedWithBiasMultipleOutputsFixture)
	BOOST_FIXTURE_TEST_CASE (DynamicFullyConnectedWithBiasMultipleOutputs, DynamicFullyConnectedWithBiasMultipleOutputsFixture)

Function Documentation

BOOST_FIXTURE_TEST_CASE() [1/4]

BOOST_FIXTURE_TEST_CASE	(	FullyConnectedWithNoBias	,
		FullyConnectedWithNoBiasFixture
	)

Definition at line 126 of file FullyConnected.cpp.

{
    RunTest<2, armnn::DataType::QAsymmU8>(
        0,
        { 10, 20, 30, 40 },
        { 400/2 });
}

BOOST_FIXTURE_TEST_CASE() [2/4]

BOOST_FIXTURE_TEST_CASE	(	ParseFullyConnectedWithBias	,
		FullyConnectedWithBiasFixture
	)

Definition at line 146 of file FullyConnected.cpp.

{
    RunTest<2, armnn::DataType::QAsymmU8>(
        0,
        { 10, 20, 30, 40 },
        { (400+10)/2 });
}

BOOST_FIXTURE_TEST_CASE() [3/4]

BOOST_FIXTURE_TEST_CASE	(	FullyConnectedWithBiasMultipleOutputs	,
		FullyConnectedWithBiasMultipleOutputsFixture
	)

Definition at line 166 of file FullyConnected.cpp.

{
    RunTest<2, armnn::DataType::QAsymmU8>(
            0,
            { 1, 2, 3, 4, 10, 20, 30, 40 },
            { (40+10)/2, (400+10)/2 });
}

BOOST_FIXTURE_TEST_CASE() [4/4]

BOOST_FIXTURE_TEST_CASE	(	DynamicFullyConnectedWithBiasMultipleOutputs	,
		DynamicFullyConnectedWithBiasMultipleOutputsFixture
	)

Definition at line 186 of file FullyConnected.cpp.

References BOOST_AUTO_TEST_SUITE_END(), and armnn::QAsymmU8.

{
    RunTest<2,
            armnn::DataType::QAsymmU8,
            armnn::DataType::QAsymmU8>(0,
                                      { { "inputTensor", { 1, 2, 3, 4, 10, 20, 30, 40} } },
                                      { { "outputTensor", { (40+10)/2, (400+10)/2 } } },
                                      true);
}