GCC Code Coverage Report
Directory: ./ Exec Total Coverage
File: lib/libcompiler_rt/divdf3.c Lines: 0 56 0.0 %
Date: 2017-11-07 Branches: 0 32 0.0 %

Line Branch Exec Source
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//===-- lib/divdf3.c - Double-precision division ------------------*- C -*-===//
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//
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//                     The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// This file implements double-precision soft-float division
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// with the IEEE-754 default rounding (to nearest, ties to even).
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//
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// For simplicity, this implementation currently flushes denormals to zero.
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// It should be a fairly straightforward exercise to implement gradual
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// underflow with correct rounding.
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//
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//===----------------------------------------------------------------------===//
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#define DOUBLE_PRECISION
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#include "fp_lib.h"
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ARM_EABI_FNALIAS(ddiv, divdf3)
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COMPILER_RT_ABI fp_t
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__divdf3(fp_t a, fp_t b) {
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    const unsigned int aExponent = toRep(a) >> significandBits & maxExponent;
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    const unsigned int bExponent = toRep(b) >> significandBits & maxExponent;
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    const rep_t quotientSign = (toRep(a) ^ toRep(b)) & signBit;
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    rep_t aSignificand = toRep(a) & significandMask;
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    rep_t bSignificand = toRep(b) & significandMask;
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    int scale = 0;
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    // Detect if a or b is zero, denormal, infinity, or NaN.
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    if (aExponent-1U >= maxExponent-1U || bExponent-1U >= maxExponent-1U) {
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        const rep_t aAbs = toRep(a) & absMask;
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        const rep_t bAbs = toRep(b) & absMask;
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        // NaN / anything = qNaN
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        if (aAbs > infRep) return fromRep(toRep(a) | quietBit);
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        // anything / NaN = qNaN
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        if (bAbs > infRep) return fromRep(toRep(b) | quietBit);
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        if (aAbs == infRep) {
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            // infinity / infinity = NaN
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            if (bAbs == infRep) return fromRep(qnanRep);
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            // infinity / anything else = +/- infinity
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            else return fromRep(aAbs | quotientSign);
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        }
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        // anything else / infinity = +/- 0
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        if (bAbs == infRep) return fromRep(quotientSign);
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        if (!aAbs) {
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            // zero / zero = NaN
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            if (!bAbs) return fromRep(qnanRep);
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            // zero / anything else = +/- zero
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            else return fromRep(quotientSign);
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        }
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        // anything else / zero = +/- infinity
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        if (!bAbs) return fromRep(infRep | quotientSign);
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        // one or both of a or b is denormal, the other (if applicable) is a
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        // normal number.  Renormalize one or both of a and b, and set scale to
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        // include the necessary exponent adjustment.
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        if (aAbs < implicitBit) scale += normalize(&aSignificand);
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        if (bAbs < implicitBit) scale -= normalize(&bSignificand);
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    }
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    // Or in the implicit significand bit.  (If we fell through from the
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    // denormal path it was already set by normalize( ), but setting it twice
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    // won't hurt anything.)
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    aSignificand |= implicitBit;
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    bSignificand |= implicitBit;
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    int quotientExponent = aExponent - bExponent + scale;
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    // Align the significand of b as a Q31 fixed-point number in the range
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    // [1, 2.0) and get a Q32 approximate reciprocal using a small minimax
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    // polynomial approximation: reciprocal = 3/4 + 1/sqrt(2) - b/2.  This
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    // is accurate to about 3.5 binary digits.
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    const uint32_t q31b = bSignificand >> 21;
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    uint32_t recip32 = UINT32_C(0x7504f333) - q31b;
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    // Now refine the reciprocal estimate using a Newton-Raphson iteration:
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    //
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    //     x1 = x0 * (2 - x0 * b)
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    //
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    // This doubles the number of correct binary digits in the approximation
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    // with each iteration, so after three iterations, we have about 28 binary
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    // digits of accuracy.
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    uint32_t correction32;
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    correction32 = -((uint64_t)recip32 * q31b >> 32);
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    recip32 = (uint64_t)recip32 * correction32 >> 31;
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    correction32 = -((uint64_t)recip32 * q31b >> 32);
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    recip32 = (uint64_t)recip32 * correction32 >> 31;
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    correction32 = -((uint64_t)recip32 * q31b >> 32);
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    recip32 = (uint64_t)recip32 * correction32 >> 31;
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    // recip32 might have overflowed to exactly zero in the preceding
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    // computation if the high word of b is exactly 1.0.  This would sabotage
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    // the full-width final stage of the computation that follows, so we adjust
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    // recip32 downward by one bit.
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    recip32--;
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    // We need to perform one more iteration to get us to 56 binary digits;
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    // The last iteration needs to happen with extra precision.
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    const uint32_t q63blo = bSignificand << 11;
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    uint64_t correction, reciprocal;
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    correction = -((uint64_t)recip32*q31b + ((uint64_t)recip32*q63blo >> 32));
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    uint32_t cHi = correction >> 32;
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    uint32_t cLo = correction;
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    reciprocal = (uint64_t)recip32*cHi + ((uint64_t)recip32*cLo >> 32);
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    // We already adjusted the 32-bit estimate, now we need to adjust the final
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    // 64-bit reciprocal estimate downward to ensure that it is strictly smaller
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    // than the infinitely precise exact reciprocal.  Because the computation
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    // of the Newton-Raphson step is truncating at every step, this adjustment
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    // is small; most of the work is already done.
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    reciprocal -= 2;
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    // The numerical reciprocal is accurate to within 2^-56, lies in the
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    // interval [0.5, 1.0), and is strictly smaller than the true reciprocal
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    // of b.  Multiplying a by this reciprocal thus gives a numerical q = a/b
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    // in Q53 with the following properties:
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    //
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    //    1. q < a/b
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    //    2. q is in the interval [0.5, 2.0)
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    //    3. the error in q is bounded away from 2^-53 (actually, we have a
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    //       couple of bits to spare, but this is all we need).
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    // We need a 64 x 64 multiply high to compute q, which isn't a basic
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    // operation in C, so we need to be a little bit fussy.
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    rep_t quotient, quotientLo;
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    wideMultiply(aSignificand << 2, reciprocal, &quotient, &quotientLo);
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    // Two cases: quotient is in [0.5, 1.0) or quotient is in [1.0, 2.0).
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    // In either case, we are going to compute a residual of the form
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    //
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    //     r = a - q*b
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    //
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    // We know from the construction of q that r satisfies:
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    //
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    //     0 <= r < ulp(q)*b
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    //
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    // if r is greater than 1/2 ulp(q)*b, then q rounds up.  Otherwise, we
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    // already have the correct result.  The exact halfway case cannot occur.
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    // We also take this time to right shift quotient if it falls in the [1,2)
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    // range and adjust the exponent accordingly.
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    rep_t residual;
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    if (quotient < (implicitBit << 1)) {
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        residual = (aSignificand << 53) - quotient * bSignificand;
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        quotientExponent--;
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    } else {
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        quotient >>= 1;
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        residual = (aSignificand << 52) - quotient * bSignificand;
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    }
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    const int writtenExponent = quotientExponent + exponentBias;
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    if (writtenExponent >= maxExponent) {
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        // If we have overflowed the exponent, return infinity.
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        return fromRep(infRep | quotientSign);
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    }
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    else if (writtenExponent < 1) {
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        // Flush denormals to zero.  In the future, it would be nice to add
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        // code to round them correctly.
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        return fromRep(quotientSign);
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    }
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    else {
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        const bool round = (residual << 1) > bSignificand;
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        // Clear the implicit bit
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        rep_t absResult = quotient & significandMask;
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        // Insert the exponent
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        absResult |= (rep_t)writtenExponent << significandBits;
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        // Round
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        absResult += round;
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        // Insert the sign and return
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        const double result = fromRep(absResult | quotientSign);
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        return result;
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    }
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}