mirror of
https://github.com/gonum/gonum.git
synced 2025-10-05 23:26:52 +08:00
161 lines
4.4 KiB
Go
161 lines
4.4 KiB
Go
// Copyright ©2019 The Gonum Authors. All rights reserved.
|
|
// Use of this source code is governed by a BSD-style
|
|
// license that can be found in the LICENSE file.
|
|
|
|
package f64_test
|
|
|
|
import (
|
|
"fmt"
|
|
"math"
|
|
"testing"
|
|
|
|
. "gonum.org/v1/gonum/internal/asm/f64"
|
|
)
|
|
|
|
// nanwith copied from floats package
|
|
func nanwith(payload uint64) float64 {
|
|
const (
|
|
nanBits = 0x7ff8000000000000
|
|
nanMask = 0xfff8000000000000
|
|
)
|
|
return math.Float64frombits(nanBits | (payload &^ nanMask))
|
|
}
|
|
|
|
func TestL2NormUnitary(t *testing.T) {
|
|
const tol = 1e-15
|
|
|
|
var src_gd float64 = 1
|
|
for j, v := range []struct {
|
|
want float64
|
|
x []float64
|
|
}{
|
|
{want: 0, x: []float64{}},
|
|
{want: 2, x: []float64{2}},
|
|
{want: 3.7416573867739413, x: []float64{1, 2, 3}},
|
|
{want: 3.7416573867739413, x: []float64{-1, -2, -3}},
|
|
{want: nan, x: []float64{nan}},
|
|
{want: nan, x: []float64{1, inf, 3, nanwith(25), 5}},
|
|
{want: 17.88854381999832, x: []float64{8, -8, 8, -8, 8}},
|
|
{want: 2.23606797749979, x: []float64{0, 1, 0, -1, 0, 1, 0, -1, 0, 1}},
|
|
} {
|
|
g_ln := 4 + j%2
|
|
v.x = guardVector(v.x, src_gd, g_ln)
|
|
src := v.x[g_ln : len(v.x)-g_ln]
|
|
ret := L2NormUnitary(src)
|
|
if !sameApprox(ret, v.want, tol) {
|
|
t.Errorf("Test %d L2Norm error Got: %f Expected: %f", j, ret, v.want)
|
|
}
|
|
if !isValidGuard(v.x, src_gd, g_ln) {
|
|
t.Errorf("Test %d Guard violated in src vector %v %v", j, v.x[:g_ln], v.x[len(v.x)-g_ln:])
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestL2NormInc(t *testing.T) {
|
|
const tol = 1e-15
|
|
|
|
var src_gd float64 = 1
|
|
for j, v := range []struct {
|
|
inc int
|
|
want float64
|
|
x []float64
|
|
}{
|
|
{inc: 2, want: 0, x: []float64{}},
|
|
{inc: 3, want: 2, x: []float64{2}},
|
|
{inc: 10, want: 3.7416573867739413, x: []float64{1, 2, 3}},
|
|
{inc: 5, want: 3.7416573867739413, x: []float64{-1, -2, -3}},
|
|
{inc: 3, want: nan, x: []float64{nan}},
|
|
{inc: 15, want: 17.88854381999832, x: []float64{8, -8, 8, -8, 8}},
|
|
{inc: 1, want: 2.23606797749979, x: []float64{0, 1, 0, -1, 0, 1, 0, -1, 0, 1}},
|
|
} {
|
|
g_ln, ln := 4+j%2, len(v.x)
|
|
v.x = guardIncVector(v.x, src_gd, v.inc, g_ln)
|
|
src := v.x[g_ln : len(v.x)-g_ln]
|
|
ret := L2NormInc(src, uintptr(ln), uintptr(v.inc))
|
|
if !sameApprox(ret, v.want, tol) {
|
|
t.Errorf("Test %d L2NormInc error Got: %f Expected: %f", j, ret, v.want)
|
|
}
|
|
checkValidIncGuard(t, v.x, src_gd, v.inc, g_ln)
|
|
}
|
|
}
|
|
|
|
func TestL2DistanceUnitary(t *testing.T) {
|
|
const tol = 1e-15
|
|
|
|
var src_gd float64 = 1
|
|
for j, v := range []struct {
|
|
want float64
|
|
x, y []float64
|
|
}{
|
|
{want: 0, x: []float64{}, y: []float64{}},
|
|
{want: 2, x: []float64{3}, y: []float64{1}},
|
|
{want: 3.7416573867739413, x: []float64{2, 4, 6}, y: []float64{1, 2, 3}},
|
|
{want: 3.7416573867739413, x: []float64{1, 2, 3}, y: []float64{2, 4, 6}},
|
|
{want: nan, x: []float64{nan}, y: []float64{0}},
|
|
{want: 17.88854381999832, x: []float64{9, -9, 9, -9, 9}, y: []float64{1, -1, 1, -1, 1}},
|
|
{want: 2.23606797749979, x: []float64{0, 1, 0, -1, 0, 1, 0, -1, 0, 1}, y: []float64{0, 2, 0, -2, 0, 2, 0, -2, 0, 2}},
|
|
} {
|
|
g_ln := 4 + j%2
|
|
v.x = guardVector(v.x, src_gd, g_ln)
|
|
v.y = guardVector(v.y, src_gd, g_ln)
|
|
srcX := v.x[g_ln : len(v.x)-g_ln]
|
|
srcY := v.y[g_ln : len(v.y)-g_ln]
|
|
ret := L2DistanceUnitary(srcX, srcY)
|
|
if !sameApprox(ret, v.want, tol) {
|
|
t.Errorf("Test %d L2Distance error Got: %f Expected: %f", j, ret, v.want)
|
|
}
|
|
if !isValidGuard(v.x, src_gd, g_ln) {
|
|
t.Errorf("Test %d Guard violated in src vector %v %v", j, v.x[:g_ln], v.x[len(v.x)-g_ln:])
|
|
}
|
|
}
|
|
}
|
|
|
|
func BenchmarkL2NormNetlib(b *testing.B) {
|
|
netlib := func(x []float64) (sum float64) {
|
|
var scale float64
|
|
sumSquares := 1.0
|
|
for _, v := range x {
|
|
if v == 0 {
|
|
continue
|
|
}
|
|
absxi := math.Abs(v)
|
|
if math.IsNaN(absxi) {
|
|
return math.NaN()
|
|
}
|
|
if scale < absxi {
|
|
s := scale / absxi
|
|
sumSquares = 1 + sumSquares*s*s
|
|
scale = absxi
|
|
} else {
|
|
s := absxi / scale
|
|
sumSquares += s * s
|
|
}
|
|
}
|
|
if math.IsInf(scale, 1) {
|
|
return math.Inf(1)
|
|
}
|
|
return scale * math.Sqrt(sumSquares)
|
|
}
|
|
|
|
tests := []struct {
|
|
name string
|
|
f func(x []float64) float64
|
|
}{
|
|
{"L2NormUnitaryNetlib", netlib},
|
|
{"L2NormUnitary", L2NormUnitary},
|
|
}
|
|
x[0] = randomSlice(1, 1)[0] // replace the leading zero (edge case)
|
|
for _, test := range tests {
|
|
for _, ln := range []uintptr{1, 3, 10, 30, 1e2, 3e2, 1e3, 3e3, 1e4, 3e4, 1e5} {
|
|
b.Run(fmt.Sprintf("%s-%d", test.name, ln), func(b *testing.B) {
|
|
b.SetBytes(int64(64 * ln))
|
|
x := x[:ln]
|
|
b.ResetTimer()
|
|
for i := 0; i < b.N; i++ {
|
|
test.f(x)
|
|
}
|
|
})
|
|
}
|
|
}
|
|
}
|