-1.1800863E-38f,// 0x80808001 round up
4.843037E-35f, // 0x0680C000 round up
3.9999998f, // 0x407FFFFF round up
- 3.4028235E38f, // 0x7F7FFFFF max positive value
- -3.4028235E38f, // 0xFF7FFFFF max negative value
+ std::numeric_limits<float>::max(), // 0x7F7FFFFF max positive value
+ std::numeric_limits<float>::lowest(), // 0xFF7FFFFF max negative value
1.1754942E-38f, // 0x007FFFFF min positive value
-1.1754942E-38f // 0x807FFFFF min negative value
};
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
+ armnn::BFloat16 maxPositive = armnn::BFloat16::Float32ToBFloat16(std::numeric_limits<float>::max()); // 0x7F7FFFFF
BOOST_CHECK_EQUAL(maxPositive, armnn::BFloat16::Inf());
// Max negative value -> -infinity
- armnn::BFloat16 maxNeg = armnn::BFloat16::Float32ToBFloat16(-3.4028235E38f); // 0xFF7FFFFF
+ armnn::BFloat16 maxNeg = armnn::BFloat16::Float32ToBFloat16(std::numeric_limits<float>::lowest()); // 0xFF7FFFFF
BOOST_CHECK_EQUAL(maxNeg.Val(), 0xFF80);
// Min positive value
armnn::BFloat16 minPositive = armnn::BFloat16::Float32ToBFloat16(1.1754942E-38f); // 0x007FFFFF
BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo));
}
-BOOST_AUTO_TEST_CASE(CreateQLstmWorkloadTest)
+BOOST_AUTO_TEST_CASE(CreateQLstmWorkload)
{
RefCreateQLstmWorkloadTest<RefQLstmWorkload>();
}