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Improved std::complex sqrt and rsqrt.
Replaces `std::sqrt` with `complex_sqrt` for all platforms (previously `complex_sqrt` was only used for CUDA and MSVC), and implements custom `complex_rsqrt`. Also introduces `numext::rsqrt` to simplify implementation, and modified `numext::hypot` to adhere to IEEE IEC 6059 for special cases. The `complex_sqrt` and `complex_rsqrt` implementations were found to be significantly faster than `std::sqrt<std::complex<T>>` and `1/numext::sqrt<std::complex<T>>`. Benchmark file attached. ``` GCC 10, Intel Xeon, x86_64: --------------------------------------------------------------------------- Benchmark Time CPU Iterations --------------------------------------------------------------------------- BM_Sqrt<std::complex<float>> 9.21 ns 9.21 ns 73225448 BM_StdSqrt<std::complex<float>> 17.1 ns 17.1 ns 40966545 BM_Sqrt<std::complex<double>> 8.53 ns 8.53 ns 81111062 BM_StdSqrt<std::complex<double>> 21.5 ns 21.5 ns 32757248 BM_Rsqrt<std::complex<float>> 10.3 ns 10.3 ns 68047474 BM_DivSqrt<std::complex<float>> 16.3 ns 16.3 ns 42770127 BM_Rsqrt<std::complex<double>> 11.3 ns 11.3 ns 61322028 BM_DivSqrt<std::complex<double>> 16.5 ns 16.5 ns 42200711 Clang 11, Intel Xeon, x86_64: --------------------------------------------------------------------------- Benchmark Time CPU Iterations --------------------------------------------------------------------------- BM_Sqrt<std::complex<float>> 7.46 ns 7.45 ns 90742042 BM_StdSqrt<std::complex<float>> 16.6 ns 16.6 ns 42369878 BM_Sqrt<std::complex<double>> 8.49 ns 8.49 ns 81629030 BM_StdSqrt<std::complex<double>> 21.8 ns 21.7 ns 31809588 BM_Rsqrt<std::complex<float>> 8.39 ns 8.39 ns 82933666 BM_DivSqrt<std::complex<float>> 14.4 ns 14.4 ns 48638676 BM_Rsqrt<std::complex<double>> 9.83 ns 9.82 ns 70068956 BM_DivSqrt<std::complex<double>> 15.7 ns 15.7 ns 44487798 Clang 9, Pixel 2, aarch64: --------------------------------------------------------------------------- Benchmark Time CPU Iterations --------------------------------------------------------------------------- BM_Sqrt<std::complex<float>> 24.2 ns 24.1 ns 28616031 BM_StdSqrt<std::complex<float>> 104 ns 103 ns 6826926 BM_Sqrt<std::complex<double>> 31.8 ns 31.8 ns 22157591 BM_StdSqrt<std::complex<double>> 128 ns 128 ns 5437375 BM_Rsqrt<std::complex<float>> 31.9 ns 31.8 ns 22384383 BM_DivSqrt<std::complex<float>> 99.2 ns 98.9 ns 7250438 BM_Rsqrt<std::complex<double>> 46.0 ns 45.8 ns 15338689 BM_DivSqrt<std::complex<double>> 119 ns 119 ns 5898944 ```
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@@ -79,6 +79,12 @@ template<typename RealScalar>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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RealScalar positive_real_hypot(const RealScalar& x, const RealScalar& y)
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{
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// IEEE IEC 6059 special cases.
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if ((numext::isinf)(x) || (numext::isinf)(y))
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return NumTraits<RealScalar>::infinity();
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if ((numext::isnan)(x) || (numext::isnan)(y))
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return NumTraits<RealScalar>::quiet_NaN();
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EIGEN_USING_STD(sqrt);
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RealScalar p, qp;
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p = numext::maxi(x,y);
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@@ -128,20 +134,56 @@ EIGEN_DEVICE_FUNC std::complex<T> complex_sqrt(const std::complex<T>& z) {
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const T x = numext::real(z);
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const T y = numext::imag(z);
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const T zero = T(0);
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const T cst_half = T(0.5);
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const T w = numext::sqrt(T(0.5) * (numext::abs(x) + numext::hypot(x, y)));
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// Special case of isinf(y)
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if ((numext::isinf)(y)) {
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return std::complex<T>(std::numeric_limits<T>::infinity(), y);
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}
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T w = numext::sqrt(cst_half * (numext::abs(x) + numext::abs(z)));
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return
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x == zero ? std::complex<T>(w, y < zero ? -w : w)
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: x > zero ? std::complex<T>(w, y / (2 * w))
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(numext::isinf)(y) ? std::complex<T>(NumTraits<T>::infinity(), y)
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: x == zero ? std::complex<T>(w, y < zero ? -w : w)
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: x > zero ? std::complex<T>(w, y / (2 * w))
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: std::complex<T>(numext::abs(y) / (2 * w), y < zero ? -w : w );
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}
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// Generic complex rsqrt implementation.
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template<typename T>
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EIGEN_DEVICE_FUNC std::complex<T> complex_rsqrt(const std::complex<T>& z) {
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// Computes the principal reciprocal sqrt of the input.
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//
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// For a complex reciprocal square root of the number z = x + i*y. We want to
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// find real numbers u and v such that
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// (u + i*v)^2 = 1 / (x + i*y) <=>
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// u^2 - v^2 + i*2*u*v = x/|z|^2 - i*v/|z|^2.
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// By equating the real and imaginary parts we get:
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// u^2 - v^2 = x/|z|^2
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// 2*u*v = y/|z|^2.
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//
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// For x >= 0, this has the numerically stable solution
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// u = sqrt(0.5 * (x + |z|)) / |z|
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// v = -y / (2 * u * |z|)
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// and for x < 0,
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// v = -sign(y) * sqrt(0.5 * (-x + |z|)) / |z|
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// u = -y / (2 * v * |z|)
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//
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// Letting w = sqrt(0.5 * (|x| + |z|)),
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// if x == 0: u = w / |z|, v = -sign(y) * w / |z|
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// if x > 0: u = w / |z|, v = -y / (2 * w * |z|)
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// if x < 0: u = |y| / (2 * w * |z|), v = -sign(y) * w / |z|
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const T x = numext::real(z);
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const T y = numext::imag(z);
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const T zero = T(0);
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const T abs_z = numext::hypot(x, y);
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const T w = numext::sqrt(T(0.5) * (numext::abs(x) + abs_z));
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const T woz = w / abs_z;
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// Corner cases consistent with 1/sqrt(z) on gcc/clang.
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return
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abs_z == zero ? std::complex<T>(NumTraits<T>::infinity(), NumTraits<T>::quiet_NaN())
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: ((numext::isinf)(x) || (numext::isinf)(y)) ? std::complex<T>(zero, zero)
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: x == zero ? std::complex<T>(woz, y < zero ? woz : -woz)
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: x > zero ? std::complex<T>(woz, -y / (2 * w * abs_z))
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: std::complex<T>(numext::abs(y) / (2 * w * abs_z), y < zero ? woz : -woz );
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}
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} // end namespace internal
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} // end namespace Eigen
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