reedsolomon-go/galois_gen_switch_amd64.go

382 lines
8.0 KiB
Go

// Code generated by command: go generate gen.go. DO NOT EDIT.
//go:build !appengine && !noasm && gc && !nogen
// +build !appengine,!noasm,gc,!nogen
package reedsolomon
import "fmt"
const avx2CodeGen = true
const maxAvx2Inputs = 10
const maxAvx2Outputs = 10
func galMulSlicesAvx2(matrix []byte, in, out [][]byte, start, stop int) int {
n := stop - start
n = (n >> 5) << 5
switch len(in) {
case 1:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_1x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_1x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_1x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_1x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_1x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_1x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_1x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_1x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_1x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_1x10(matrix, in, out, start, n)
return n
}
case 2:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_2x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_2x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_2x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_2x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_2x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_2x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_2x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_2x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_2x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_2x10(matrix, in, out, start, n)
return n
}
case 3:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_3x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_3x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_3x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_3x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_3x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_3x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_3x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_3x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_3x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_3x10(matrix, in, out, start, n)
return n
}
case 4:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_4x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_4x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_4x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_4x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_4x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_4x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_4x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_4x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_4x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_4x10(matrix, in, out, start, n)
return n
}
case 5:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_5x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_5x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_5x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_5x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_5x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_5x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_5x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_5x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_5x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_5x10(matrix, in, out, start, n)
return n
}
case 6:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_6x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_6x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_6x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_6x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_6x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_6x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_6x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_6x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_6x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_6x10(matrix, in, out, start, n)
return n
}
case 7:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_7x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_7x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_7x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_7x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_7x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_7x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_7x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_7x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_7x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_7x10(matrix, in, out, start, n)
return n
}
case 8:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_8x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_8x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_8x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_8x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_8x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_8x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_8x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_8x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_8x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_8x10(matrix, in, out, start, n)
return n
}
case 9:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_9x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_9x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_9x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_9x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_9x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_9x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_9x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_9x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_9x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_9x10(matrix, in, out, start, n)
return n
}
case 10:
switch len(out) {
case 1:
n = (n >> 6) << 6
mulAvxTwo_10x1_64(matrix, in, out, start, n)
return n
case 2:
n = (n >> 6) << 6
mulAvxTwo_10x2_64(matrix, in, out, start, n)
return n
case 3:
n = (n >> 6) << 6
mulAvxTwo_10x3_64(matrix, in, out, start, n)
return n
case 4:
mulAvxTwo_10x4(matrix, in, out, start, n)
return n
case 5:
mulAvxTwo_10x5(matrix, in, out, start, n)
return n
case 6:
mulAvxTwo_10x6(matrix, in, out, start, n)
return n
case 7:
mulAvxTwo_10x7(matrix, in, out, start, n)
return n
case 8:
mulAvxTwo_10x8(matrix, in, out, start, n)
return n
case 9:
mulAvxTwo_10x9(matrix, in, out, start, n)
return n
case 10:
mulAvxTwo_10x10(matrix, in, out, start, n)
return n
}
}
panic(fmt.Sprintf("unhandled size: %dx%d", len(in), len(out)))
}