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src/math/cmplx/sqrt.go
b *= 1.8014398509481984e16 scale = 7.450580596923828125e-9 // 2**-27 } r := math.Hypot(a, b) var t float64 if a > 0 { t = math.Sqrt(0.5*r + 0.5*a) r = scale * math.Abs((0.5*b)/t) t *= scale } else { r = math.Sqrt(0.5*r - 0.5*a) t = scale * math.Abs((0.5*b)/r) r *= scale } if b < 0 { return complex(t, -r) } return complex(t, r)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 01 03:16:37 UTC 2020 - 3K bytes - Viewed (0) -
staging/src/k8s.io/apimachinery/pkg/util/managedfields/internal/conflict_test.go
{ Type: metav1.CauseTypeFieldManagerConflict, Message: `conflict with "foo" using v1 at 2001-02-03T04:05:06Z`, Field: ".spec.replicas", }, }, }, Message: `Apply failed with 1 conflict: conflict with "foo" using v1 at 2001-02-03T04:05:06Z: .spec.replicas`, }, }, }, { conflict: merge.Conflicts{ merge.Conflict{
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Mar 08 21:44:00 UTC 2023 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/xla_call_module_deserialization.mlir
11\01\05\17\01S\15\03\0B\05E\07S\09U\0B[\0DA\17\011\07\03\0B\05?\07]\09?\0BC\0D_\17\01'\07\17\01)\0B\03\13#a%A'c)?+e-?/?1?3g\05\1D\05\1F\05!\05#\05%\05'\05)\05+\05-\17\013\0B\03\039C\05/\17\015\1B\17\017\0B\03\01\1D1\1D3\03\05GQ\0D\05IKMO\1D5\1D7\1D9\1D;\0D\01#\09\03\03W\0D\03YA\1D=\1D?#\0B\1DA\0B\05\1DC\05\03\0D\03ik\1DE\13\0D\01\01\02\04)\03\00\FF\FF\FF\FF\FF\FF\FF\FF\05\1B3\05\11\05\03\07\03\03\11\03\03\03\03\1D\04}\05\01\11\15\0F\07\04m\03\01\09\03\11\19\17\05\03\07\0F\05\03\03\07\03\00\07\0...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 02 18:38:51 UTC 2023 - 6.9K bytes - Viewed (0) -
src/math/sinh.go
Q2 = -0.173678953558233699533450911e+3 ) sign := false if x < 0 { x = -x sign = true } var temp float64 switch { case x > 21: temp = Exp(x) * 0.5 case x > 0.5: ex := Exp(x) temp = (ex - 1/ex) * 0.5 default: sq := x * x temp = (((P3*sq+P2)*sq+P1)*sq + P0) * x temp = temp / (((sq+Q2)*sq+Q1)*sq + Q0) } if sign { temp = -temp } return temp }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 11 16:34:30 UTC 2022 - 1.7K bytes - Viewed (0) -
src/math/exp.go
// // // exp(x) // Returns the exponential of x. // // Method // 1. Argument reduction: // Reduce x to an r so that |r| <= 0.5*ln2 ~ 0.34658. // Given x, find r and integer k such that // // x = k*ln2 + r, |r| <= 0.5*ln2. // // Here r will be represented as r = hi-lo for better // accuracy. // // 2. Approximation of exp(r) by a special rational function on
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 11:59:09 UTC 2023 - 5.4K bytes - Viewed (0) -
src/math/rand/zipf.go
z := new(Zipf) if s <= 1.0 || v < 1 { return nil } z.r = r z.imax = float64(imax) z.v = v z.q = s z.oneminusQ = 1.0 - z.q z.oneminusQinv = 1.0 / z.oneminusQ z.hxm = z.h(z.imax + 0.5) z.hx0minusHxm = z.h(0.5) - math.Exp(math.Log(z.v)*(-z.q)) - z.hxm z.s = 1 - z.hinv(z.h(1.5)-math.Exp(-z.q*math.Log(z.v+1.0))) return z } // Uint64 returns a value drawn from the [Zipf] distribution described
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 11:59:09 UTC 2023 - 1.8K bytes - Viewed (0) -
src/math/exp_arm64.s
FMOVD $1.0, F1 // F1 = 1.0 FCMPD F2, F3 BLT nearzero // fabs(x) < NearZero, return 1 + x // argument reduction, x = k*ln2 + r, |r| <= 0.5*ln2 // computed as r = hi - lo for extra precision. FMOVD $Log2e, F2 FMOVD $0.5, F3 FNMSUBD F0, F3, F2, F4 // Log2e*x - 0.5 FMADDD F0, F3, F2, F3 // Log2e*x + 0.5 FCMPD $0.0, F0 FCSELD LT, F4, F3, F3 // F3 = k FCVTZSD F3, R1 // R1 = int(k) SCVTFD R1, F3 // F3 = float64(int(k))
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Apr 15 15:48:19 UTC 2021 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/rewrite_tpu_embedding_ops.mlir
%0 = "tf.RecvTPUEmbeddingActivations"() {config = "\0A%\0A\0Dwatches_table\10\F5\03\18\80\02 \01*\0C\1A\00j\05\0D\00\00\80?\88\01\01\10\02\18\80\04 \01(\02"} : () -> tensor<512x256xf32> "tf.SendTPUEmbeddingGradients"(%0) {config = "\0A%\0A\0Dwatches_table\10\F5\03\18\80\02 \01*\0C\1A\00j\05\0D\00\00\80?\88\01\01\10\02\18\80\04 \01(\02", operandSegmentSizes = array<i32: 1, 0>} : (tensor<512x256xf32>) -> () func.return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.2K bytes - Viewed (0) -
src/math/expm1.go
// x is now in primary range hfx := 0.5 * x hxs := x * hfx r1 := 1 + hxs*(Q1+hxs*(Q2+hxs*(Q3+hxs*(Q4+hxs*Q5)))) t := 3 - r1*hfx e := hxs * ((r1 - t) / (6.0 - x*t)) if k == 0 { return x - (x*e - hxs) // c is 0 } e = (x*(e-c) - c) e -= hxs switch { case k == -1: return 0.5*(x-e) - 0.5 case k == 1: if x < -0.25 { return -2 * (e - (x + 0.5)) } return 1 + 2*(x-e)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 11:59:09 UTC 2023 - 7.9K bytes - Viewed (0) -
src/math/floor.go
// if d := math.Abs(x - t); d > 0.5 || (d == 0.5 && odd) { // return t + math.Copysign(1, x) // } // return t // } bits := Float64bits(x) e := uint(bits>>shift) & mask if e >= bias { // Round abs(x) >= 1. // - Large numbers without fractional components, infinity, and NaN are unchanged. // - Add 0.499.. or 0.5 before truncating depending on whether the truncated
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 11 16:34:30 UTC 2022 - 3.3K bytes - Viewed (0)