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Merge pull request #451 from lioncash/unpck

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common/fp: Minor adjustments for half-precision floating point support
This commit is contained in:
Merry 2019-03-09 16:05:42 +00:00 committed by MerryMage
commit 32364fb62c
3 changed files with 29 additions and 10 deletions
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5
src/common/fp/process_nan.cpp
View file

@ -31,12 +31,13 @@ FPT FPProcessNaN(FPType type, FPT op, FPCR fpcr, FPSR& fpsr) {
}
if (fpcr.DN()) {
result = FPInfo<FPT>::DefaultNaN();
result = FPT(FPInfo<FPT>::DefaultNaN());
}
return result;
}
template u16 FPProcessNaN<u16>(FPType type, u16 op, FPCR fpcr, FPSR& fpsr);
template u32 FPProcessNaN<u32>(FPType type, u32 op, FPCR fpcr, FPSR& fpsr);
template u64 FPProcessNaN<u64>(FPType type, u64 op, FPCR fpcr, FPSR& fpsr);
@ -57,6 +58,7 @@ std::optional<FPT> FPProcessNaNs(FPType type1, FPType type2, FPT op1, FPT op2, F
return std::nullopt;
}
template std::optional<u16> FPProcessNaNs<u16>(FPType type1, FPType type2, u16 op1, u16 op2, FPCR fpcr, FPSR& fpsr);
template std::optional<u32> FPProcessNaNs<u32>(FPType type1, FPType type2, u32 op1, u32 op2, FPCR fpcr, FPSR& fpsr);
template std::optional<u64> FPProcessNaNs<u64>(FPType type1, FPType type2, u64 op1, u64 op2, FPCR fpcr, FPSR& fpsr);
@ -83,6 +85,7 @@ std::optional<FPT> FPProcessNaNs3(FPType type1, FPType type2, FPType type3, FPT
return std::nullopt;
}
template std::optional<u16> FPProcessNaNs3<u16>(FPType type1, FPType type2, FPType type3, u16 op1, u16 op2, u16 op3, FPCR fpcr, FPSR& fpsr);
template std::optional<u32> FPProcessNaNs3<u32>(FPType type1, FPType type2, FPType type3, u32 op1, u32 op2, u32 op3, FPCR fpcr, FPSR& fpsr);
template std::optional<u64> FPProcessNaNs3<u64>(FPType type1, FPType type2, FPType type3, u64 op1, u64 op2, u64 op3, FPCR fpcr, FPSR& fpsr);

26
src/common/fp/unpacked.cpp
View file

@ -15,7 +15,7 @@
namespace Dynarmic::FP {
template<typename FPT>
std::tuple<FPType, bool, FPUnpacked> FPUnpack(FPT op, FPCR fpcr, FPSR& fpsr) {
std::tuple<FPType, bool, FPUnpacked> FPUnpackBase(FPT op, FPCR fpcr, FPSR& fpsr) {
constexpr size_t sign_bit = FPInfo<FPT>::exponent_width + FPInfo<FPT>::explicit_mantissa_width;
constexpr size_t exponent_high_bit = FPInfo<FPT>::exponent_width + FPInfo<FPT>::explicit_mantissa_width - 1;
constexpr size_t exponent_low_bit = FPInfo<FPT>::explicit_mantissa_width;
@ -23,11 +23,17 @@ std::tuple<FPType, bool, FPUnpacked> FPUnpack(FPT op, FPCR fpcr, FPSR& fpsr) {
constexpr size_t mantissa_low_bit = 0;
constexpr int denormal_exponent = FPInfo<FPT>::exponent_min - int(FPInfo<FPT>::explicit_mantissa_width);
constexpr bool is_half_precision = std::is_same_v<FPT, u16>;
const bool sign = Common::Bit<sign_bit>(op);
const FPT exp_raw = Common::Bits<exponent_low_bit, exponent_high_bit>(op);
const FPT frac_raw = Common::Bits<mantissa_low_bit, mantissa_high_bit>(op);
if (exp_raw == 0) {
if constexpr (is_half_precision) {
if (frac_raw == 0 || fpcr.FZ16()) {
return {FPType::Zero, sign, {sign, 0, 0}};
}
}
if (frac_raw == 0 || fpcr.FZ()) {
if (frac_raw != 0) {
FPProcessException(FPExc::InputDenorm, fpcr, fpsr);
@ -38,7 +44,9 @@ std::tuple<FPType, bool, FPUnpacked> FPUnpack(FPT op, FPCR fpcr, FPSR& fpsr) {
return {FPType::Nonzero, sign, ToNormalized(sign, denormal_exponent, frac_raw)};
}
if (exp_raw == Common::Ones<FPT>(FPInfo<FPT>::exponent_width)) {
const bool exp_all_ones = exp_raw == Common::Ones<FPT>(FPInfo<FPT>::exponent_width);
const bool ahp_disabled = is_half_precision && !fpcr.AHP();
if (exp_all_ones || ahp_disabled) {
if (frac_raw == 0) {
return {FPType::Infinity, sign, ToNormalized(sign, 1000000, 1)};
}
@ -52,8 +60,9 @@ std::tuple<FPType, bool, FPUnpacked> FPUnpack(FPT op, FPCR fpcr, FPSR& fpsr) {
return {FPType::Nonzero, sign, {sign, exp, frac}};
}
template std::tuple<FPType, bool, FPUnpacked> FPUnpack<u32>(u32 op, FPCR fpcr, FPSR& fpsr);
template std::tuple<FPType, bool, FPUnpacked> FPUnpack<u64>(u64 op, FPCR fpcr, FPSR& fpsr);
template std::tuple<FPType, bool, FPUnpacked> FPUnpackBase<u16>(u16 op, FPCR fpcr, FPSR& fpsr);
template std::tuple<FPType, bool, FPUnpacked> FPUnpackBase<u32>(u32 op, FPCR fpcr, FPSR& fpsr);
template std::tuple<FPType, bool, FPUnpacked> FPUnpackBase<u64>(u64 op, FPCR fpcr, FPSR& fpsr);
template<size_t F>
std::tuple<bool, int, u64, ResidualError> Normalize(FPUnpacked op, int extra_right_shift = 0) {
@ -79,7 +88,7 @@ FPT FPRoundBase(FPUnpacked op, FPCR fpcr, RoundingMode rounding, FPSR& fpsr) {
if (((!isFP16 && fpcr.FZ()) || (isFP16 && fpcr.FZ16())) && exponent < minimum_exp) {
fpsr.UFC(true);
return FPInfo<FPT>::Zero(sign);
return FPT(FPInfo<FPT>::Zero(sign));
}
int biased_exp = std::max<int>(exponent - minimum_exp + 1, 0);
@ -142,13 +151,13 @@ FPT FPRoundBase(FPUnpacked op, FPCR fpcr, RoundingMode rounding, FPSR& fpsr) {
#endif
constexpr int max_biased_exp = (1 << E) - 1;
if (biased_exp >= max_biased_exp) {
result = overflow_to_inf ? FPInfo<FPT>::Infinity(sign) : FPInfo<FPT>::MaxNormal(sign);
result = overflow_to_inf ? FPT(FPInfo<FPT>::Infinity(sign)) : FPT(FPInfo<FPT>::MaxNormal(sign));
FPProcessException(FPExc::Overflow, fpcr, fpsr);
FPProcessException(FPExc::Inexact, fpcr, fpsr);
} else {
result = sign ? 1 : 0;
result <<= E;
result += biased_exp;
result += FPT(biased_exp);
result <<= F;
result |= static_cast<FPT>(mantissa) & FPInfo<FPT>::mantissa_mask;
if (error != ResidualError::Zero) {
@ -163,7 +172,7 @@ FPT FPRoundBase(FPUnpacked op, FPCR fpcr, RoundingMode rounding, FPSR& fpsr) {
} else {
result = sign ? 1 : 0;
result <<= E;
result += biased_exp;
result += FPT(biased_exp);
result <<= F;
result |= static_cast<FPT>(mantissa) & FPInfo<FPT>::mantissa_mask;
if (error != ResidualError::Zero) {
@ -174,6 +183,7 @@ FPT FPRoundBase(FPUnpacked op, FPCR fpcr, RoundingMode rounding, FPSR& fpsr) {
return result;
}
template u16 FPRoundBase<u16>(FPUnpacked op, FPCR fpcr, RoundingMode rounding, FPSR& fpsr);
template u32 FPRoundBase<u32>(FPUnpacked op, FPCR fpcr, RoundingMode rounding, FPSR& fpsr);
template u64 FPRoundBase<u64>(FPUnpacked op, FPCR fpcr, RoundingMode rounding, FPSR& fpsr);

8
src/common/fp/unpacked.h
View file

@ -52,7 +52,13 @@ constexpr FPUnpacked ToNormalized(bool sign, int exponent, u64 value) {
}
template<typename FPT>
std::tuple<FPType, bool, FPUnpacked> FPUnpack(FPT op, FPCR fpcr, FPSR& fpsr);
std::tuple<FPType, bool, FPUnpacked> FPUnpackBase(FPT op, FPCR fpcr, FPSR& fpsr);
template<typename FPT>
std::tuple<FPType, bool, FPUnpacked> FPUnpack(FPT op, FPCR fpcr, FPSR& fpsr) {
fpcr.AHP(false);
return FPUnpackBase(op, fpcr, fpsr);
}
template<typename FPT>
std::tuple<FPType, bool, FPUnpacked> FPUnpackCV(FPT op, FPCR fpcr, FPSR& fpsr) {