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|
/*++
Copyright (c) Microsoft Corporation. All rights reserved.
Licensed under the MIT License.
Module Name:
transpose.cpp
Abstract:
This module implements the transpose operation.
--*/
#include "mlasi.h"
#if defined(MLAS_SSE2_INTRINSICS)
MLAS_FORCEINLINE
void
MlasTranspose4x4Block(
const uint32_t* Input,
size_t InputStride,
uint32_t* Output,
size_t OutputStride
)
{
__m128i a0 = _mm_loadu_si128((const __m128i*)&Input[InputStride * 0]);
__m128i a1 = _mm_loadu_si128((const __m128i*)&Input[InputStride * 1]);
__m128i a2 = _mm_loadu_si128((const __m128i*)&Input[InputStride * 2]);
__m128i a3 = _mm_loadu_si128((const __m128i*)&Input[InputStride * 3]);
__m128i b0 = _mm_unpacklo_epi32(a0, a2);
__m128i b1 = _mm_unpackhi_epi32(a0, a2);
__m128i b2 = _mm_unpacklo_epi32(a1, a3);
__m128i b3 = _mm_unpackhi_epi32(a1, a3);
__m128i c0 = _mm_unpacklo_epi32(b0, b2);
__m128i c1 = _mm_unpackhi_epi32(b0, b2);
__m128i c2 = _mm_unpacklo_epi32(b1, b3);
__m128i c3 = _mm_unpackhi_epi32(b1, b3);
_mm_storeu_si128((__m128i*)&Output[OutputStride * 0], c0);
_mm_storeu_si128((__m128i*)&Output[OutputStride * 1], c1);
_mm_storeu_si128((__m128i*)&Output[OutputStride * 2], c2);
_mm_storeu_si128((__m128i*)&Output[OutputStride * 3], c3);
}
MLAS_FORCEINLINE
void
MlasTranspose4x4Block(
const uint16_t* Input,
size_t InputStride,
uint16_t* Output,
size_t OutputStride
)
{
__m128i a0 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 0]);
__m128i a1 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 1]);
__m128i a2 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 2]);
__m128i a3 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 3]);
__m128i b0 = _mm_unpacklo_epi16(a0, a2);
__m128i b1 = _mm_unpacklo_epi16(a1, a3);
__m128i c0 = _mm_unpacklo_epi16(b0, b1);
__m128i c1 = _mm_unpackhi_epi16(b0, b1);
_mm_storel_pi((__m64*)&Output[OutputStride * 0], _mm_castsi128_ps(c0));
_mm_storeh_pi((__m64*)&Output[OutputStride * 1], _mm_castsi128_ps(c0));
_mm_storel_pi((__m64*)&Output[OutputStride * 2], _mm_castsi128_ps(c1));
_mm_storeh_pi((__m64*)&Output[OutputStride * 3], _mm_castsi128_ps(c1));
}
MLAS_FORCEINLINE
void
MlasTranspose8x8Block(
const uint8_t* Input,
size_t InputStride,
uint8_t* Output,
size_t OutputStride
)
{
__m128i a0 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 0]);
__m128i a1 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 1]);
__m128i b0 = _mm_unpacklo_epi8(a0, a1);
__m128i a2 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 2]);
__m128i a3 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 3]);
__m128i b1 = _mm_unpacklo_epi8(a2, a3);
__m128i a4 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 4]);
__m128i a5 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 5]);
__m128i b2 = _mm_unpacklo_epi8(a4, a5);
__m128i a6 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 6]);
__m128i a7 = _mm_loadl_epi64((const __m128i*)&Input[InputStride * 7]);
__m128i b3 = _mm_unpacklo_epi8(a6, a7);
__m128i c0 = _mm_unpacklo_epi16(b0, b1);
__m128i c1 = _mm_unpackhi_epi16(b0, b1);
__m128i c2 = _mm_unpacklo_epi16(b2, b3);
__m128i c3 = _mm_unpackhi_epi16(b2, b3);
__m128 d0 = _mm_castsi128_ps(_mm_unpacklo_epi32(c0, c2));
_mm_storel_pi((__m64*)&Output[OutputStride * 0], d0);
_mm_storeh_pi((__m64*)&Output[OutputStride * 1], d0);
__m128 d1 = _mm_castsi128_ps(_mm_unpackhi_epi32(c0, c2));
_mm_storel_pi((__m64*)&Output[OutputStride * 2], d1);
_mm_storeh_pi((__m64*)&Output[OutputStride * 3], d1);
__m128 d2 = _mm_castsi128_ps(_mm_unpacklo_epi32(c1, c3));
_mm_storel_pi((__m64*)&Output[OutputStride * 4], d2);
_mm_storeh_pi((__m64*)&Output[OutputStride * 5], d2);
__m128 d3 = _mm_castsi128_ps(_mm_unpackhi_epi32(c1, c3));
_mm_storel_pi((__m64*)&Output[OutputStride * 6], d3);
_mm_storeh_pi((__m64*)&Output[OutputStride * 7], d3);
}
#elif defined(MLAS_NEON_INTRINSICS)
MLAS_FORCEINLINE
void
MlasTranspose4x4Block(
const uint32_t* Input,
size_t InputStride,
uint32_t* Output,
size_t OutputStride
)
{
uint32x4_t a0 = vld1q_u32(&Input[InputStride * 0]);
uint32x4_t a1 = vld1q_u32(&Input[InputStride * 1]);
uint32x4_t a2 = vld1q_u32(&Input[InputStride * 2]);
uint32x4_t a3 = vld1q_u32(&Input[InputStride * 3]);
uint32x4x2_t b0 = vzipq_u32(a0, a2);
uint32x4x2_t b1 = vzipq_u32(a1, a3);
uint32x4x2_t c0 = vzipq_u32(b0.val[0], b1.val[0]);
uint32x4x2_t c1 = vzipq_u32(b0.val[1], b1.val[1]);
vst1q_u32(&Output[OutputStride * 0], c0.val[0]);
vst1q_u32(&Output[OutputStride * 1], c0.val[1]);
vst1q_u32(&Output[OutputStride * 2], c1.val[0]);
vst1q_u32(&Output[OutputStride * 3], c1.val[1]);
}
MLAS_FORCEINLINE
void
MlasTranspose4x4Block(
const uint16_t* Input,
size_t InputStride,
uint16_t* Output,
size_t OutputStride
)
{
uint16x4_t a0 = vld1_u16(&Input[InputStride * 0]);
uint16x4_t a1 = vld1_u16(&Input[InputStride * 1]);
uint16x4_t a2 = vld1_u16(&Input[InputStride * 2]);
uint16x4_t a3 = vld1_u16(&Input[InputStride * 3]);
uint16x4x2_t b0 = vzip_u16(a0, a2);
uint16x4x2_t b1 = vzip_u16(a1, a3);
uint16x4x2_t c0 = vzip_u16(b0.val[0], b1.val[0]);
uint16x4x2_t c1 = vzip_u16(b0.val[1], b1.val[1]);
vst1_u16(&Output[OutputStride * 0], c0.val[0]);
vst1_u16(&Output[OutputStride * 1], c0.val[1]);
vst1_u16(&Output[OutputStride * 2], c1.val[0]);
vst1_u16(&Output[OutputStride * 3], c1.val[1]);
}
MLAS_FORCEINLINE
void
MlasTranspose8x8Block(
const uint8_t* Input,
size_t InputStride,
uint8_t* Output,
size_t OutputStride
)
{
uint8x8_t a0 = vld1_u8(&Input[InputStride * 0]);
uint8x8_t a1 = vld1_u8(&Input[InputStride * 1]);
uint8x8x2_t b0 = vzip_u8(a0, a1);
uint8x8_t a2 = vld1_u8(&Input[InputStride * 2]);
uint8x8_t a3 = vld1_u8(&Input[InputStride * 3]);
uint8x8x2_t b1 = vzip_u8(a2, a3);
uint8x8_t a4 = vld1_u8(&Input[InputStride * 4]);
uint8x8_t a5 = vld1_u8(&Input[InputStride * 5]);
uint8x8x2_t b2 = vzip_u8(a4, a5);
uint8x8_t a6 = vld1_u8(&Input[InputStride * 6]);
uint8x8_t a7 = vld1_u8(&Input[InputStride * 7]);
uint8x8x2_t b3 = vzip_u8(a6, a7);
uint16x4x2_t c0 = vzip_u16(vreinterpret_u16_u8(b0.val[0]), vreinterpret_u16_u8(b1.val[0]));
uint16x4x2_t c1 = vzip_u16(vreinterpret_u16_u8(b0.val[1]), vreinterpret_u16_u8(b1.val[1]));
uint16x4x2_t c2 = vzip_u16(vreinterpret_u16_u8(b2.val[0]), vreinterpret_u16_u8(b3.val[0]));
uint16x4x2_t c3 = vzip_u16(vreinterpret_u16_u8(b2.val[1]), vreinterpret_u16_u8(b3.val[1]));
uint32x2x2_t d0 = vzip_u32(vreinterpret_u32_u16(c0.val[0]), vreinterpret_u32_u16(c2.val[0]));
uint32x2x2_t d1 = vzip_u32(vreinterpret_u32_u16(c0.val[1]), vreinterpret_u32_u16(c2.val[1]));
uint32x2x2_t d2 = vzip_u32(vreinterpret_u32_u16(c1.val[0]), vreinterpret_u32_u16(c3.val[0]));
uint32x2x2_t d3 = vzip_u32(vreinterpret_u32_u16(c1.val[1]), vreinterpret_u32_u16(c3.val[1]));
vst1_u8(&Output[OutputStride * 0], vreinterpret_u8_u32(d0.val[0]));
vst1_u8(&Output[OutputStride * 1], vreinterpret_u8_u32(d0.val[1]));
vst1_u8(&Output[OutputStride * 2], vreinterpret_u8_u32(d1.val[0]));
vst1_u8(&Output[OutputStride * 3], vreinterpret_u8_u32(d1.val[1]));
vst1_u8(&Output[OutputStride * 4], vreinterpret_u8_u32(d2.val[0]));
vst1_u8(&Output[OutputStride * 5], vreinterpret_u8_u32(d2.val[1]));
vst1_u8(&Output[OutputStride * 6], vreinterpret_u8_u32(d3.val[0]));
vst1_u8(&Output[OutputStride * 7], vreinterpret_u8_u32(d3.val[1]));
}
#elif defined(MLAS_TARGET_POWER)
MLAS_FORCEINLINE
void
MlasTranspose4x4Block(
const uint32_t* Input,
size_t InputStride,
uint32_t* Output,
size_t OutputStride
)
{
__vector unsigned int a0 = vec_vsx_ld(0, Input);
__vector unsigned int a1 = vec_vsx_ld(0, &Input[InputStride]);
__vector unsigned int a2 = vec_vsx_ld(0, &Input[InputStride * 2]);
__vector unsigned int a3 = vec_vsx_ld(0, &Input[InputStride * 3]);
__vector unsigned int b0 = vec_mergeh(a0, a1);
__vector unsigned int b1 = vec_mergeh(a2, a3);
__vector unsigned int b2 = vec_mergel(a0, a1);
__vector unsigned int b3 = vec_mergel(a2, a3);
__vector unsigned int c0 = vec_xxpermdi(b0, b1, 0);
__vector unsigned int c1 = vec_xxpermdi(b0, b1, 3);
__vector unsigned int c2 = vec_xxpermdi(b2, b3, 0);
__vector unsigned int c3 = vec_xxpermdi(b2, b3, 3);
vec_vsx_st(c0, 0, Output);
vec_vsx_st(c1, 0, &Output[OutputStride]);
vec_vsx_st(c2, 0, &Output[OutputStride * 2]);
vec_vsx_st(c3, 0, &Output[OutputStride * 3]);
}
MLAS_FORCEINLINE
void
MlasTranspose16x16Block(
const uint8_t* Input,
size_t InputStride,
uint8_t* Output,
size_t OutputStride
)
{
__vector unsigned char a0 = vec_vsx_ld(0, Input);
__vector unsigned char a1 = vec_vsx_ld(0, &Input[InputStride]);
__vector unsigned char a2 = vec_vsx_ld(0, &Input[InputStride * 2]);
__vector unsigned char a3 = vec_vsx_ld(0, &Input[InputStride * 3]);
__vector unsigned char a4 = vec_vsx_ld(0, &Input[InputStride * 4]);
__vector unsigned char a5 = vec_vsx_ld(0, &Input[InputStride * 5]);
__vector unsigned char a6 = vec_vsx_ld(0, &Input[InputStride * 6]);
__vector unsigned char a7 = vec_vsx_ld(0, &Input[InputStride * 7]);
__vector unsigned char a8 = vec_vsx_ld(0, &Input[InputStride * 8]);
__vector unsigned char a9 = vec_vsx_ld(0, &Input[InputStride * 9]);
__vector unsigned char a10 = vec_vsx_ld(0, &Input[InputStride * 10]);
__vector unsigned char a11 = vec_vsx_ld(0, &Input[InputStride * 11]);
__vector unsigned char a12 = vec_vsx_ld(0, &Input[InputStride * 12]);
__vector unsigned char a13 = vec_vsx_ld(0, &Input[InputStride * 13]);
__vector unsigned char a14 = vec_vsx_ld(0, &Input[InputStride * 14]);
__vector unsigned char a15 = vec_vsx_ld(0, &Input[InputStride * 15]);
__vector unsigned char b0 = vec_mergeh(a0, a1);
__vector unsigned char b1 = vec_mergeh(a2, a3);
__vector unsigned char b2 = vec_mergeh(a4, a5);
__vector unsigned char b3 = vec_mergeh(a6, a7);
__vector unsigned char b4 = vec_mergeh(a8, a9);
__vector unsigned char b5 = vec_mergeh(a10, a11);
__vector unsigned char b6 = vec_mergeh(a12, a13);
__vector unsigned char b7 = vec_mergeh(a14, a15);
__vector unsigned char c0 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned short>(b0), reinterpret_cast<__vector unsigned short>(b1)));
__vector unsigned char c1 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned short>(b2), reinterpret_cast<__vector unsigned short>(b3)));
__vector unsigned char c2 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned short>(b4), reinterpret_cast<__vector unsigned short>(b5)));
__vector unsigned char c3 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned short>(b6), reinterpret_cast<__vector unsigned short>(b7)));
__vector unsigned char d0 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned int>(c0), reinterpret_cast<__vector unsigned int>(c1)));
__vector unsigned char d1 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned int>(c2), reinterpret_cast<__vector unsigned int>(c3)));
__vector unsigned char e0 = vec_xxpermdi(d0, d1, 0);
__vector unsigned char e1 = vec_xxpermdi(d0, d1, 3);
vec_vsx_st(e0, 0, &Output[0]);
vec_vsx_st(e1, 0, &Output[OutputStride]);
d0 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned int>(c0), reinterpret_cast<__vector unsigned int>(c1)));
d1 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned int>(c2), reinterpret_cast<__vector unsigned int>(c3)));
e0 = vec_xxpermdi(d0, d1, 0);
e1 = vec_xxpermdi(d0, d1, 3);
vec_vsx_st(e0, 0, &Output[OutputStride * 2]);
vec_vsx_st(e1, 0, &Output[OutputStride * 3]);
c0 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned short>(b0), reinterpret_cast<__vector unsigned short>(b1)));
c1 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned short>(b2), reinterpret_cast<__vector unsigned short>(b3)));
c2 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned short>(b4), reinterpret_cast<__vector unsigned short>(b5)));
c3 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned short>(b6), reinterpret_cast<__vector unsigned short>(b7)));
d0 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned int>(c0), reinterpret_cast<__vector unsigned int>(c1)));
d1 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned int>(c2), reinterpret_cast<__vector unsigned int>(c3)));
e0 = vec_xxpermdi(d0, d1, 0);
e1 = vec_xxpermdi(d0, d1, 3);
vec_vsx_st(e0, 0, &Output[OutputStride * 4]);
vec_vsx_st(e1, 0, &Output[OutputStride * 5]);
d0 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned int>(c0), reinterpret_cast<__vector unsigned int>(c1)));
d1 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned int>(c2), reinterpret_cast<__vector unsigned int>(c3)));
e0 = vec_xxpermdi(d0, d1, 0);
e1 = vec_xxpermdi(d0, d1, 3);
vec_vsx_st(e0, 0, &Output[OutputStride * 6]);
vec_vsx_st(e1, 0, &Output[OutputStride * 7]);
b0 = vec_mergel(a0, a1);
b1 = vec_mergel(a2, a3);
b2 = vec_mergel(a4, a5);
b3 = vec_mergel(a6, a7);
b4 = vec_mergel(a8, a9);
b5 = vec_mergel(a10, a11);
b6 = vec_mergel(a12, a13);
b7 = vec_mergel(a14, a15);
c0 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned short>(b0), reinterpret_cast<__vector unsigned short>(b1)));
c1 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned short>(b2), reinterpret_cast<__vector unsigned short>(b3)));
c2 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned short>(b4), reinterpret_cast<__vector unsigned short>(b5)));
c3 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned short>(b6), reinterpret_cast<__vector unsigned short>(b7)));
d0 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned int>(c0), reinterpret_cast<__vector unsigned int>(c1)));
d1 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned int>(c2), reinterpret_cast<__vector unsigned int>(c3)));
e0 = vec_xxpermdi(d0, d1, 0);
e1 = vec_xxpermdi(d0, d1, 3);
vec_vsx_st(e0, 0, &Output[OutputStride * 8]);
vec_vsx_st(e1, 0, &Output[OutputStride * 9]);
d0 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned int>(c0), reinterpret_cast<__vector unsigned int>(c1)));
d1 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned int>(c2), reinterpret_cast<__vector unsigned int>(c3)));
e0 = vec_xxpermdi(d0, d1, 0);
e1 = vec_xxpermdi(d0, d1, 3);
vec_vsx_st(e0, 0, &Output[OutputStride * 10]);
vec_vsx_st(e1, 0, &Output[OutputStride * 11]);
c0 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned short>(b0), reinterpret_cast<__vector unsigned short>(b1)));
c1 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned short>(b2), reinterpret_cast<__vector unsigned short>(b3)));
c2 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned short>(b4), reinterpret_cast<__vector unsigned short>(b5)));
c3 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned short>(b6), reinterpret_cast<__vector unsigned short>(b7)));
d0 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned int>(c0), reinterpret_cast<__vector unsigned int>(c1)));
d1 = reinterpret_cast<__vector unsigned char>(vec_mergeh(reinterpret_cast<__vector unsigned int>(c2), reinterpret_cast<__vector unsigned int>(c3)));
e0 = vec_xxpermdi(d0, d1, 0);
e1 = vec_xxpermdi(d0, d1, 3);
vec_vsx_st(e0, 0, &Output[OutputStride * 12]);
vec_vsx_st(e1, 0, &Output[OutputStride * 13]);
d0 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned int>(c0), reinterpret_cast<__vector unsigned int>(c1)));
d1 = reinterpret_cast<__vector unsigned char>(vec_mergel(reinterpret_cast<__vector unsigned int>(c2), reinterpret_cast<__vector unsigned int>(c3)));
e0 = vec_xxpermdi(d0, d1, 0);
e1 = vec_xxpermdi(d0, d1, 3);
vec_vsx_st(e0, 0, &Output[OutputStride * 14]);
vec_vsx_st(e1, 0, &Output[OutputStride * 15]);
}
#elif defined(MLAS_LSX_INTRINSICS)
MLAS_FORCEINLINE
void
MlasTranspose4x4Block(
const uint32_t* Input,
size_t InputStride,
uint32_t* Output,
size_t OutputStride
)
{
__m128i a0 = __lsx_vld((const __m128i*)&Input[InputStride * 0], 0);
__m128i a1 = __lsx_vld((const __m128i*)&Input[InputStride * 1], 0);
__m128i a2 = __lsx_vld((const __m128i*)&Input[InputStride * 2], 0);
__m128i a3 = __lsx_vld((const __m128i*)&Input[InputStride * 3], 0);
__m128i b0 = __lsx_vilvl_w(a2, a0);
__m128i b1 = __lsx_vilvh_w(a2, a0);
__m128i b2 = __lsx_vilvl_w(a3, a1);
__m128i b3 = __lsx_vilvh_w(a3, a1);
__m128i c0 = __lsx_vilvl_w(b2, b0);
__m128i c1 = __lsx_vilvh_w(b2, b0);
__m128i c2 = __lsx_vilvl_w(b3, b1);
__m128i c3 = __lsx_vilvh_w(b3, b1);
__lsx_vst(c0, (__m128i*)&Output[OutputStride * 0], 0);
__lsx_vst(c1, (__m128i*)&Output[OutputStride * 1], 0);
__lsx_vst(c2, (__m128i*)&Output[OutputStride * 2], 0);
__lsx_vst(c3, (__m128i*)&Output[OutputStride * 3], 0);
}
MLAS_FORCEINLINE
void
MlasTranspose4x4Block(
const uint16_t* Input,
size_t InputStride,
uint16_t* Output,
size_t OutputStride
)
{
__m128i a0 = __lsx_vld((const __m128i*)&Input[InputStride * 0], 0);
__lsx_vinsgr2vr_d(a0, 0 , 1);
__m128i a1 = __lsx_vld((const __m128i*)&Input[InputStride * 1], 0);
__lsx_vinsgr2vr_d(a1, 0 , 1);
__m128i a2 = __lsx_vld((const __m128i*)&Input[InputStride * 2], 0);
__lsx_vinsgr2vr_d(a2, 0 , 1);
__m128i a3 = __lsx_vld((const __m128i*)&Input[InputStride * 3], 0);
__lsx_vinsgr2vr_d(a3, 0 , 1);
__m128i b0 = __lsx_vilvl_h(a2, a0);
__m128i b1 = __lsx_vilvl_h(a3, a1);
__m128i c0 = __lsx_vilvl_h(b1, b0);
__m128i c1 = __lsx_vilvh_h(b1, b0);
__lsx_vst(__lsx_vinsgr2vr_d(__lsx_vld((__m128i *)&Output[OutputStride * 0], 0), __lsx_vpickve2gr_d(c0, 0), 0), (__m128i *)&Output[OutputStride * 0], 0);
__lsx_vst(__lsx_vinsgr2vr_d(__lsx_vld((__m128i *)&Output[OutputStride * 1], 0), __lsx_vpickve2gr_d(c0, 1), 0), (__m128i *)&Output[OutputStride * 1], 0);
__lsx_vst(__lsx_vinsgr2vr_d(__lsx_vld((__m128i *)&Output[OutputStride * 2], 0), __lsx_vpickve2gr_d(c1, 0), 0), (__m128i *)&Output[OutputStride * 2], 0);
__lsx_vst(__lsx_vinsgr2vr_d(__lsx_vld((__m128i *)&Output[OutputStride * 3], 0), __lsx_vpickve2gr_d(c1, 1), 0), (__m128i *)&Output[OutputStride * 3], 0);
}
MLAS_FORCEINLINE
void
MlasTranspose8x8Block(
const uint8_t* Input,
size_t InputStride,
uint8_t* Output,
size_t OutputStride
)
{
__m128i a0 = __lsx_vld((const __m128i*)&Input[InputStride * 0], 0);
__lsx_vinsgr2vr_d(a0, 0, 1);
__m128i a1 = __lsx_vld((const __m128i*)&Input[InputStride * 1], 0);
__lsx_vinsgr2vr_d(a1, 0, 1);
__m128i b0 = __lsx_vilvl_b(a1, a0);
__m128i a2 = __lsx_vld((const __m128i*)&Input[InputStride * 2], 0);
__lsx_vinsgr2vr_d(a2, 0, 1);
__m128i a3 = __lsx_vld((const __m128i*)&Input[InputStride * 3], 0);
__lsx_vinsgr2vr_d(a3, 0, 1);
__m128i b1 = __lsx_vilvl_b(a3, a2);
__m128i a4 = __lsx_vld((const __m128i*)&Input[InputStride * 4], 0);
__lsx_vinsgr2vr_d(a4, 0, 1);
__m128i a5 = __lsx_vld((const __m128i*)&Input[InputStride * 5], 0);
__lsx_vinsgr2vr_d(a5, 0, 1);
__m128i b2 = __lsx_vilvl_b(a5, a4);
__m128i a6 = __lsx_vld((const __m128i*)&Input[InputStride * 6], 0);
__lsx_vinsgr2vr_d(a6, 0, 1);
__m128i a7 = __lsx_vld((const __m128i*)&Input[InputStride * 7], 0);
__lsx_vinsgr2vr_d(a7, 0, 1);
__m128i b3 = __lsx_vilvl_b(a7, a6);
__m128i c0 = __lsx_vilvl_h(b1, b0);
__m128i c1 = __lsx_vilvh_h(b1, b0);
__m128i c2 = __lsx_vilvl_h(b3, b2);
__m128i c3 = __lsx_vilvh_h(b3, b2);
__m128 d0 = (__m128)(__lsx_vilvl_w(c2, c0));
__lsx_vstelm_d(d0, &Output[OutputStride * 0], 0, 0);
__lsx_vstelm_d(d0, &Output[OutputStride * 1], 0, 1);
__m128 d1 = (__m128)(__lsx_vilvh_w(c2, c0));
__lsx_vstelm_d(d1, &Output[OutputStride * 2], 0, 0);
__lsx_vstelm_d(d1, &Output[OutputStride * 3], 0, 1);
__m128 d2 = (__m128)(__lsx_vilvl_w(c3, c1));
__lsx_vstelm_d(d2, &Output[OutputStride * 4], 0, 0);
__lsx_vstelm_d(d2, &Output[OutputStride * 5], 0, 1);
__m128 d3 = (__m128)(__lsx_vilvh_w(c3, c1));
__lsx_vstelm_d(d3, &Output[OutputStride * 6], 0, 0);
__lsx_vstelm_d(d3, &Output[OutputStride * 7], 0, 1);
}
#endif
template<typename ElementType>
MLAS_FORCEINLINE
void
MlasTranspose4xNVector(
const ElementType* Input,
size_t InputStride,
ElementType* Output,
size_t OutputStride
)
{
ElementType a0 = Input[InputStride * 0];
ElementType a1 = Input[InputStride * 1];
ElementType a2 = Input[InputStride * 2];
ElementType a3 = Input[InputStride * 3];
Output[OutputStride * 0] = a0;
Output[OutputStride * 1] = a1;
Output[OutputStride * 2] = a2;
Output[OutputStride * 3] = a3;
}
#if defined(MLAS_TARGET_POWER)
template<typename ElementType>
MLAS_FORCEINLINE
void
MlasTranspose16xNVector(
const ElementType* Input,
size_t InputStride,
ElementType* Output,
size_t OutputStride
)
{
MlasTranspose4xNVector(&Input[InputStride * 0], InputStride, &Output[OutputStride * 0], OutputStride);
MlasTranspose4xNVector(&Input[InputStride * 4], InputStride, &Output[OutputStride * 4], OutputStride);
MlasTranspose4xNVector(&Input[InputStride * 8], InputStride, &Output[OutputStride * 8], OutputStride);
MlasTranspose4xNVector(&Input[InputStride * 12], InputStride, &Output[OutputStride * 12], OutputStride);
}
#endif
template<typename ElementType>
MLAS_FORCEINLINE
void
MlasTranspose8xNVector(
const ElementType* Input,
size_t InputStride,
ElementType* Output,
size_t OutputStride
)
{
MlasTranspose4xNVector(&Input[InputStride * 0], InputStride, &Output[OutputStride * 0], OutputStride);
MlasTranspose4xNVector(&Input[InputStride * 4], InputStride, &Output[OutputStride * 4], OutputStride);
}
void
MLASCALL
MlasTranspose(
const uint32_t* Input,
uint32_t* Output,
size_t M,
size_t N
)
/*++
Routine Description:
This routine transposes the input matrix (M rows by N columns) to the
output matrix (N rows by M columns).
Arguments:
Input - Supplies the input buffer.
Output - Supplies the output buffer.
M - Supplies the number of rows for the input matrix and the number of
columns for the output matrix.
N - Supplies the number of columns for the input matrix and the number of
rows for the output matrix.
Return Value:
None.
--*/
{
size_t n = N;
//
// Transpose elements from the input matrix to the output matrix 4 columns
// at a time.
//
while (n >= 4) {
const uint32_t* s = Input;
uint32_t* d = Output;
size_t m = M;
#if defined(MLAS_SSE2_INTRINSICS) || defined(MLAS_NEON_INTRINSICS) || defined(MLAS_TARGET_POWER) || \
defined(MLAS_LSX_INTRINSICS)
while (m >= 4) {
MlasTranspose4x4Block(s, N, d, M);
s += N * 4;
d += 4;
m -= 4;
}
#endif
while (m > 0) {
MlasTranspose4xNVector(s, 1, d, M);
s += N;
d += 1;
m -= 1;
}
Input += 4;
Output += M * 4;
n -= 4;
}
//
// Transpose elements from the input matrix to the output matrix for the
// remaining columns.
//
while (n > 0) {
const uint32_t* s = Input;
uint32_t* d = Output;
size_t m = M;
while (m >= 4) {
MlasTranspose4xNVector(s, N, d, 1);
s += N * 4;
d += 4;
m -= 4;
}
while (m > 0) {
d[0] = s[0];
s += N;
d += 1;
m -= 1;
}
Input += 1;
Output += M;
n -= 1;
}
}
void
MLASCALL
MlasTranspose(
const float* Input,
float* Output,
size_t M,
size_t N
)
{
MlasTranspose(
reinterpret_cast<const uint32_t*>(Input),
reinterpret_cast<uint32_t*>(Output),
M,
N);
}
void
MLASCALL
MlasTranspose(
const uint16_t* Input,
uint16_t* Output,
size_t M,
size_t N
)
/*++
Routine Description:
This routine transposes the input matrix (M rows by N columns) to the
output matrix (N rows by M columns).
Arguments:
Input - Supplies the input buffer.
Output - Supplies the output buffer.
M - Supplies the number of rows for the input matrix and the number of
columns for the output matrix.
N - Supplies the number of columns for the input matrix and the number of
rows for the output matrix.
Return Value:
None.
--*/
{
size_t n = N;
//
// Transpose elements from the input matrix to the output matrix 4 columns
// at a time.
//
while (n >= 4) {
const uint16_t* s = Input;
uint16_t* d = Output;
size_t m = M;
#if defined(MLAS_SSE2_INTRINSICS) || defined(MLAS_NEON_INTRINSICS) || defined(MLAS_LSX_INTRINSICS)
while (m >= 4) {
MlasTranspose4x4Block(s, N, d, M);
s += N * 4;
d += 4;
m -= 4;
}
#endif
while (m > 0) {
MlasTranspose4xNVector(s, 1, d, M);
s += N;
d += 1;
m -= 1;
}
Input += 4;
Output += M * 4;
n -= 4;
}
//
// Transpose elements from the input matrix to the output matrix for the
// remaining columns.
//
while (n > 0) {
const uint16_t* s = Input;
uint16_t* d = Output;
size_t m = M;
while (m >= 4) {
MlasTranspose4xNVector(s, N, d, 1);
s += N * 4;
d += 4;
m -= 4;
}
while (m > 0) {
d[0] = s[0];
s += N;
d += 1;
m -= 1;
}
Input += 1;
Output += M;
n -= 1;
}
}
void
MLASCALL
MlasTranspose(
const uint8_t* Input,
uint8_t* Output,
size_t M,
size_t N
)
/*++
Routine Description:
This routine transposes the input matrix (M rows by N columns) to the
output matrix (N rows by M columns).
Arguments:
Input - Supplies the input buffer.
Output - Supplies the output buffer.
M - Supplies the number of rows for the input matrix and the number of
columns for the output matrix.
N - Supplies the number of columns for the input matrix and the number of
rows for the output matrix.
Return Value:
None.
--*/
{
size_t n = N;
//
// Transpose elements from the input matrix to the output matrix 8 columns
// at a time.
//
#if defined(MLAS_TARGET_POWER)
while (n >= 16) {
const uint8_t* s = Input;
uint8_t* d = Output;
size_t m = M;
while (m >= 16) {
MlasTranspose16x16Block(s, N, d, M);
s += N * 16;
d += 16;
m -= 16;
}
while (m > 0) {
MlasTranspose16xNVector(s, 1, d, M);
s += N;
d += 1;
m -= 1;
}
Input += 16;
Output += M * 16;
n -= 16;
}
#endif
while (n >= 8) {
const uint8_t* s = Input;
uint8_t* d = Output;
size_t m = M;
#if defined(MLAS_SSE2_INTRINSICS) || defined(MLAS_NEON_INTRINSICS) || defined(MLAS_LSX_INTRINSICS)
while (m >= 8) {
MlasTranspose8x8Block(s, N, d, M);
s += N * 8;
d += 8;
m -= 8;
}
#endif
while (m > 0) {
MlasTranspose8xNVector(s, 1, d, M);
s += N;
d += 1;
m -= 1;
}
Input += 8;
Output += M * 8;
n -= 8;
}
//
// Transpose elements from the input matrix to the output matrix for the
// remaining columns.
//
while (n > 0) {
const uint8_t* s = Input;
uint8_t* d = Output;
size_t m = M;
while (m >= 8) {
MlasTranspose8xNVector(s, N, d, 1);
s += N * 8;
d += 8;
m -= 8;
}
while (m > 0) {
d[0] = s[0];
s += N;
d += 1;
m -= 1;
}
Input += 1;
Output += M;
n -= 1;
}
}
void
MLASCALL
MlasTranspose(
const int8_t* Input,
int8_t* Output,
size_t M,
size_t N)
{
MlasTranspose(
reinterpret_cast<const uint8_t*>(Input),
reinterpret_cast<uint8_t*>(Output),
M,
N);
}
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