are at most 52 bits. func addMul19(v uint128, a, b uint64) uint128 { hi, lo := bits.Mul64(mul19(a), b) lo, c := bits.Add64(lo, v.lo, 0) hi, _ = bits.Add64(hi, v.hi, c) return uint128{lo, hi} } // addMul38 returns v + 38 * a * b, where a and b are at most 52 bits. func addMul38(v uint128, a, b uint64) uint128 { hi, lo := bits.Mul64(mul19(a), b*2) lo, c := bits.Add64(lo, v.lo, 0) hi, _ = bits.Add64(hi, v.hi, c) return uint128{lo, hi} } // shiftRightBy51 returns a >> 51. a is assumed to be at most 115...

64-bit limbs, for use with the // bits.Mul64 and bits.Add64 intrinsics. type uint128 struct { lo, hi uint64 } // mul64 returns a * b. func mul64(a, b uint64) uint128 { hi, lo := bits.Mul64(a, b) return uint128{lo, hi} } // addMul64 returns v + a * b. func addMul64(v uint128, a, b uint64) uint128 { hi, lo := bits.Mul64(a, b) lo, c := bits.Add64(lo, v.lo, 0) hi, _ = bits.Add64(hi, v.hi, c) return uint128{lo, hi} } // shiftRightBy51 returns a >> 51. a is assumed to be at most 115 bits. func shiftRightBy51(a...

    *   XLA:GPU reductions are deterministic by default (reductions within
        `jit_compile=True` are now deterministic).
    *   XLA:GPU works with Horovod (OSS contribution by Trent Lo from NVidia)
    *   XLA:CPU and XLA:GPU can compile tf.unique and tf.where when shapes are
        provably correct at compile time.
*   `tf.saved_model.save`:

0EA1..0EA3    ; valid                                  # 1.1  LAO LETTER MO..LAO LETTER LO LING
0EA4          ; disallowed                             # NA   <reserved-0EA4>
0EA5          ; valid                                  # 1.1  LAO LETTER LO LOOT
0EA6          ; disallowed                             # NA   <reserved-0EA6>