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package tensor
import (
"math/rand"
"testing"
)
func BenchmarkDense_Transpose(b *testing.B) {
T := New(WithShape(100, 100, 2), WithBacking(Range(Byte, 0, 100*100*2)))
for i := 0; i < b.N; i++ {
T.T()
T.Transpose()
}
}
func BenchmarkNativeSet(b *testing.B) {
T := New(WithShape(10000), Of(Float64))
data := T.Data().([]float64)
for i := 0; i < b.N; i++ {
for next := 0; next < 10000; next++ {
data[next] = float64(next + 1)
}
}
}
func BenchmarkSetMethod(b *testing.B) {
T := New(WithShape(10000), Of(Float64))
for i := 0; i < b.N; i++ {
for next := 0; next < 10000; next++ {
T.Set(next, float64(next+1))
}
}
}
func BenchmarkNativeGet(b *testing.B) {
T := New(WithShape(10000), Of(Float64))
data := T.Data().([]float64)
var f float64
for i := 0; i < b.N; i++ {
for next := 0; next < 10000; next++ {
f = data[next]
}
}
_ = f
}
func BenchmarkGetMethod(b *testing.B) {
T := New(WithShape(10000), Of(Float64))
var f float64
for i := 0; i < b.N; i++ {
for next := 0; next < 10000; next++ {
f = T.Get(next).(float64)
}
}
_ = f
}
func BenchmarkGetWithIterator(b *testing.B) {
T := New(WithShape(100, 100), Of(Float64))
var f float64
data := T.Data().([]float64)
for i := 0; i < b.N; i++ {
it := IteratorFromDense(T)
var next int
var err error
for next, err = it.Start(); err == nil; next, err = it.Next() {
f = data[next]
}
if _, ok := err.(NoOpError); !ok {
b.Errorf("Error: %v", err)
}
}
_ = f
}
func BenchmarkComplicatedGet(b *testing.B) {
T := New(WithShape(101, 1, 36, 5), Of(Float64))
T.T(0, 2, 1, 3)
data := T.Data().([]float64)
var f float64
b.ResetTimer()
for i := 0; i < b.N; i++ {
it := IteratorFromDense(T)
var next int
var err error
for next, err = it.Start(); err == nil; next, err = it.Next() {
f = data[next]
}
if _, ok := err.(NoOpError); !ok {
b.Errorf("Error: %v", err)
}
}
_ = f
}
var atCoords [10000][2]int
func init() {
for i := range atCoords {
atCoords[i][0] = rand.Intn(100)
atCoords[i][1] = rand.Intn(100)
}
}
var at1, at2 float64
// func BenchmarkAtWithNativeIterator(b *testing.B) {
// T := New(WithShape(100, 100), Of(Float64))
// it, err := NativeMatrixF64(T)
// if err != nil {
// b.Fatalf("Error: %v", err)
// }
// var j int
// for i := 0; i < b.N; i++ {
// if j >= len(atCoords) {
// j = 0
// }
// at := atCoords[j]
// at1 = it[at[0]][at[1]]
// j++
// }
// }
func BenchmarkAt(b *testing.B) {
T := New(WithShape(100, 100), Of(Float64))
var j int
for i := 0; i < b.N; i++ {
if j >= len(atCoords) {
j = 0
}
at := atCoords[j]
_, err := T.At(at[0], at[1])
if err != nil {
b.Errorf("Error: %v", err)
}
j++
}
}
|
