From e9e6818ed4d8d1cc069e766388a481882f396e64 Mon Sep 17 00:00:00 2001 From: Narumol Prangnawarat Date: Wed, 11 Mar 2020 11:34:55 +0000 Subject: IVGCVSW-4517 Modify BFloat16 to conformant to the coding standards Signed-off-by: Narumol Prangnawarat Change-Id: I85b6967469dc1fddbbc875b34ba107480b78089a --- src/armnn/test/UtilsTests.cpp | 54 +++++++++++++++++++++---------------------- 1 file changed, 27 insertions(+), 27 deletions(-) (limited to 'src/armnn/test/UtilsTests.cpp') diff --git a/src/armnn/test/UtilsTests.cpp b/src/armnn/test/UtilsTests.cpp index 27b7eded3e..d324add14a 100644 --- a/src/armnn/test/UtilsTests.cpp +++ b/src/armnn/test/UtilsTests.cpp @@ -95,19 +95,19 @@ BOOST_AUTO_TEST_CASE(BFloatType) // Test BFloat16 type BOOST_CHECK_EQUAL(sizeof(a), 2); BOOST_CHECK_EQUAL(a, b); - BOOST_CHECK_EQUAL(a.val(), v); + BOOST_CHECK_EQUAL(a.Val(), v); BOOST_CHECK_EQUAL(a, 1.0f); BOOST_CHECK_EQUAL(zero, 0.0f); // Infinity float infFloat = std::numeric_limits::infinity(); armnn::BFloat16 infBF(infFloat); - BOOST_CHECK_EQUAL(infBF, armnn::BFloat16::inf()); + BOOST_CHECK_EQUAL(infBF, armnn::BFloat16::Inf()); // NaN float nan = std::numeric_limits::quiet_NaN(); armnn::BFloat16 nanBF(nan); - BOOST_CHECK_EQUAL(nanBF, armnn::BFloat16::nan()); + BOOST_CHECK_EQUAL(nanBF, armnn::BFloat16::Nan()); // Test utility function returns correct type. using ResolvedType = armnn::ResolveType; @@ -124,49 +124,49 @@ BOOST_AUTO_TEST_CASE(BFloatType) BOOST_AUTO_TEST_CASE(Float32ToBFloat16Test) { // LSB = 0, R = 0 -> round down - armnn::BFloat16 roundDown0 = armnn::BFloat16::float32ToBFloat16(1.704735E38f); // 0x7F004000 - BOOST_CHECK_EQUAL(roundDown0.val(), 0x7F00); + armnn::BFloat16 roundDown0 = armnn::BFloat16::Float32ToBFloat16(1.704735E38f); // 0x7F004000 + BOOST_CHECK_EQUAL(roundDown0.Val(), 0x7F00); // LSB = 1, R = 0 -> round down - armnn::BFloat16 roundDown1 = armnn::BFloat16::float32ToBFloat16(9.18355E-41f); // 0x00010000 - BOOST_CHECK_EQUAL(roundDown1.val(), 0x0001); + armnn::BFloat16 roundDown1 = armnn::BFloat16::Float32ToBFloat16(9.18355E-41f); // 0x00010000 + BOOST_CHECK_EQUAL(roundDown1.Val(), 0x0001); // LSB = 0, R = 1 all 0 -> round down - armnn::BFloat16 roundDown2 = armnn::BFloat16::float32ToBFloat16(1.14794E-40f); // 0x00014000 - BOOST_CHECK_EQUAL(roundDown2.val(), 0x0001); + armnn::BFloat16 roundDown2 = armnn::BFloat16::Float32ToBFloat16(1.14794E-40f); // 0x00014000 + BOOST_CHECK_EQUAL(roundDown2.Val(), 0x0001); // LSB = 1, R = 1 -> round up - armnn::BFloat16 roundUp = armnn::BFloat16::float32ToBFloat16(-2.0234377f); // 0xC0018001 - BOOST_CHECK_EQUAL(roundUp.val(), 0xC002); + armnn::BFloat16 roundUp = armnn::BFloat16::Float32ToBFloat16(-2.0234377f); // 0xC0018001 + BOOST_CHECK_EQUAL(roundUp.Val(), 0xC002); // LSB = 0, R = 1 -> round up - armnn::BFloat16 roundUp1 = armnn::BFloat16::float32ToBFloat16(4.843037E-35f); // 0x0680C000 - BOOST_CHECK_EQUAL(roundUp1.val(), 0x0681); + armnn::BFloat16 roundUp1 = armnn::BFloat16::Float32ToBFloat16(4.843037E-35f); // 0x0680C000 + BOOST_CHECK_EQUAL(roundUp1.Val(), 0x0681); // Max positive value -> infinity - armnn::BFloat16 maxPositive = armnn::BFloat16::float32ToBFloat16(3.4028235E38f); // 0x7F7FFFFF - BOOST_CHECK_EQUAL(maxPositive, armnn::BFloat16::inf()); + armnn::BFloat16 maxPositive = armnn::BFloat16::Float32ToBFloat16(3.4028235E38f); // 0x7F7FFFFF + BOOST_CHECK_EQUAL(maxPositive, armnn::BFloat16::Inf()); // Max negative value -> -infinity - armnn::BFloat16 maxNeg = armnn::BFloat16::float32ToBFloat16(-3.4028235E38f); // 0xFF7FFFFF - BOOST_CHECK_EQUAL(maxNeg.val(), 0xFF80); + armnn::BFloat16 maxNeg = armnn::BFloat16::Float32ToBFloat16(-3.4028235E38f); // 0xFF7FFFFF + BOOST_CHECK_EQUAL(maxNeg.Val(), 0xFF80); // Min positive value - armnn::BFloat16 minPositive = armnn::BFloat16::float32ToBFloat16(1.1754942E-38f); // 0x007FFFFF - BOOST_CHECK_EQUAL(minPositive.val(), 0x0080); + armnn::BFloat16 minPositive = armnn::BFloat16::Float32ToBFloat16(1.1754942E-38f); // 0x007FFFFF + BOOST_CHECK_EQUAL(minPositive.Val(), 0x0080); // Min negative value - armnn::BFloat16 minNeg = armnn::BFloat16::float32ToBFloat16(-1.1754942E-38f); // 0x807FFFFF - BOOST_CHECK_EQUAL(minNeg.val(), 0x8080); + armnn::BFloat16 minNeg = armnn::BFloat16::Float32ToBFloat16(-1.1754942E-38f); // 0x807FFFFF + BOOST_CHECK_EQUAL(minNeg.Val(), 0x8080); } BOOST_AUTO_TEST_CASE(BFloat16ToFloat32Test) { armnn::BFloat16 bf0(1.5f); - BOOST_CHECK_EQUAL(bf0.toFloat32(), 1.5f); + BOOST_CHECK_EQUAL(bf0.ToFloat32(), 1.5f); armnn::BFloat16 bf1(-5.525308E-25f); - BOOST_CHECK_EQUAL(bf1.toFloat32(), -5.525308E-25f); + BOOST_CHECK_EQUAL(bf1.ToFloat32(), -5.525308E-25f); armnn::BFloat16 bf2(-2.0625f); - BOOST_CHECK_EQUAL(bf2.toFloat32(), -2.0625f); + BOOST_CHECK_EQUAL(bf2.ToFloat32(), -2.0625f); uint16_t v = 32639; armnn::BFloat16 bf3(v); - BOOST_CHECK_EQUAL(bf3.toFloat32(), 3.3895314E38f); + BOOST_CHECK_EQUAL(bf3.ToFloat32(), 3.3895314E38f); // Infinity - BOOST_CHECK_EQUAL(armnn::BFloat16::inf().toFloat32(), std::numeric_limits::infinity()); + BOOST_CHECK_EQUAL(armnn::BFloat16::Inf().ToFloat32(), std::numeric_limits::infinity()); // NaN - BOOST_CHECK(std::isnan(armnn::BFloat16::nan().toFloat32())); + BOOST_CHECK(std::isnan(armnn::BFloat16::Nan().ToFloat32())); } BOOST_AUTO_TEST_CASE(GraphTopologicalSortSimpleTest) -- cgit v1.2.1