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[Batchnorm x86] Merge the multiple elempack (#4085)

Co-authored-by: LRY89757 <LRY89757@users.noreply.github.com>
Co-authored-by: nihuini <nihuini@tencent.com>
tags/20221128
Lry89757 GitHub 3 years ago
parent
commit
00c08d7bda
No known key found for this signature in database GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 143 additions and 246 deletions
  1. +143
    -246
      src/layer/x86/batchnorm_x86.cpp

+ 143
- 246
src/layer/x86/batchnorm_x86.cpp View File

@@ -34,289 +34,186 @@ BatchNorm_x86::BatchNorm_x86()
int BatchNorm_x86::forward_inplace(Mat& bottom_top_blob, const Option& opt) const
{
int dims = bottom_top_blob.dims;

int w = bottom_top_blob.w;
int h = bottom_top_blob.h;
int d = bottom_top_blob.d;
int c = bottom_top_blob.c;
int elempack = bottom_top_blob.elempack;

if (dims == 1)
{
float* ptr = bottom_top_blob;
const float* aptr = a_data;
const float* bptr = b_data;

const int size = w * elempack;

int i = 0;
#if __SSE2__
#if __AVX__
#if __AVX512F__
if (elempack == 16)
{
if (dims == 1)
for (; i + 15 < size; i += 16)
{
int w = bottom_top_blob.w;

#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < w; i++)
{
float* ptr = (float*)bottom_top_blob + i * 16;

__m512 _a = _mm512_loadu_ps((const float*)a_data + i * 16);
__m512 _b = _mm512_loadu_ps((const float*)b_data + i * 16);

__m512 _p = _mm512_loadu_ps(ptr);
_p = _mm512_fmadd_ps(_p, _b, _a);
_mm512_storeu_ps(ptr, _p);
}
__m512 _p512 = _mm512_loadu_ps(ptr);
__m512 _a512 = _mm512_loadu_ps(aptr);
__m512 _b512 = _mm512_loadu_ps(bptr);
_p512 = _mm512_fmadd_ps(_p512, _b512, _a512);
_mm512_storeu_ps(ptr, _p512);
ptr += 16;
aptr += 16;
bptr += 16;
}
if (dims == 2)
#endif // __AVX512F__
for (; i + 7 < size; i += 8)
{
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;

#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < h; i++)
{
__m512 _a = _mm512_loadu_ps((const float*)a_data + i * 16);
__m512 _b = _mm512_loadu_ps((const float*)b_data + i * 16);

float* ptr = bottom_top_blob.row(i);

for (int j = 0; j < w; j++)
{
__m512 _p = _mm512_loadu_ps(ptr);
_p = _mm512_fmadd_ps(_p, _b, _a);
_mm512_storeu_ps(ptr, _p);

ptr += 16;
}
}
__m256 _p256 = _mm256_loadu_ps(ptr);
__m256 _a256 = _mm256_loadu_ps(aptr);
__m256 _b256 = _mm256_loadu_ps(bptr);
_p256 = _mm256_comp_fmadd_ps(_p256, _b256, _a256);
_mm256_storeu_ps(ptr, _p256);
ptr += 8;
aptr += 8;
bptr += 8;
}
if (dims == 3 || dims == 4)
#endif // __AVX__
for (; i + 3 < size; i += 4)
{
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;
int d = bottom_top_blob.d;
int c = bottom_top_blob.c;
int size = w * h * d;

#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < c; q++)
{
__m512 _a = _mm512_loadu_ps((const float*)a_data + q * 16);
__m512 _b = _mm512_loadu_ps((const float*)b_data + q * 16);

float* ptr = bottom_top_blob.channel(q);

for (int i = 0; i < size; i++)
{
__m512 _p = _mm512_loadu_ps(ptr);
_p = _mm512_fmadd_ps(_p, _b, _a);
_mm512_storeu_ps(ptr, _p);

ptr += 16;
}
}
__m128 _p128 = _mm_loadu_ps(ptr);
__m128 _a128 = _mm_loadu_ps(aptr);
__m128 _b128 = _mm_loadu_ps(bptr);
_p128 = _mm_comp_fmadd_ps(_p128, _b128, _a128);
_mm_storeu_ps(ptr, _p128);
ptr += 4;
aptr += 4;
bptr += 4;
}
#endif // __SSE__
for (; i < size; i++)
{
*ptr = *bptr * *ptr + *aptr;
ptr++;
aptr++;
bptr++;
}

return 0;
}
#endif // __AVX512F__

if (elempack == 8)
if (dims == 2)
{
if (dims == 1)
{
int w = bottom_top_blob.w;

#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < w; i++)
{
float* ptr = (float*)bottom_top_blob + i * 8;

__m256 _a = _mm256_loadu_ps((const float*)a_data + i * 8);
__m256 _b = _mm256_loadu_ps((const float*)b_data + i * 8);
const int size = w * elempack;

__m256 _p = _mm256_loadu_ps(ptr);
_p = _mm256_comp_fmadd_ps(_p, _b, _a);
_mm256_storeu_ps(ptr, _p);
}
}

if (dims == 2)
#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < h; i++)
{
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;

#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < h; i++)
{
__m256 _a = _mm256_loadu_ps((const float*)a_data + i * 8);
__m256 _b = _mm256_loadu_ps((const float*)b_data + i * 8);

float* ptr = bottom_top_blob.row(i);

for (int j = 0; j < w; j++)
{
__m256 _p = _mm256_loadu_ps(ptr);
_p = _mm256_comp_fmadd_ps(_p, _b, _a);
_mm256_storeu_ps(ptr, _p);

ptr += 8;
}
}
}
float* ptr = bottom_top_blob.row(i);
float a = a_data[i];
float b = b_data[i];

if (dims == 3 || dims == 4)
{
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;
int d = bottom_top_blob.d;
int c = bottom_top_blob.c;
int size = w * h * d;
#if __SSE2__
__m128 _a128 = (elempack == 4) ? _mm_loadu_ps((const float*)a_data + i * 4) : _mm_set1_ps(a);
__m128 _b128 = (elempack == 4) ? _mm_loadu_ps((const float*)b_data + i * 4) : _mm_set1_ps(b);
#if __AVX__
__m256 _a256 = (elempack == 8) ? _mm256_loadu_ps((const float*)a_data + i * 8) : _mm256_insertf128_ps(_mm256_castps128_ps256(_a128), _a128, 1);
__m256 _b256 = (elempack == 8) ? _mm256_loadu_ps((const float*)b_data + i * 8) : _mm256_insertf128_ps(_mm256_castps128_ps256(_b128), _b128, 1);
#if __AVX512F__
__m512 _a512 = (elempack == 16) ? _mm512_loadu_ps((const float*)a_data + i * 16) : _mm512_insertf32x8(_mm512_castps256_ps512(_a256), _a256, 1);
__m512 _b512 = (elempack == 16) ? _mm512_loadu_ps((const float*)b_data + i * 16) : _mm512_insertf32x8(_mm512_castps256_ps512(_b256), _b256, 1);
#endif // __AVX512F__
#endif // __AVX__
#endif // __SSE2__

#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < c; q++)
int j = 0;
#if __SSE2__
#if __AVX__
#if __AVX512F__
for (; j + 15 < size; j += 16)
{
__m256 _a = _mm256_loadu_ps((const float*)a_data + q * 8);
__m256 _b = _mm256_loadu_ps((const float*)b_data + q * 8);

float* ptr = bottom_top_blob.channel(q);

for (int i = 0; i < size; i++)
{
__m256 _p = _mm256_loadu_ps(ptr);
_p = _mm256_comp_fmadd_ps(_p, _b, _a);
_mm256_storeu_ps(ptr, _p);

ptr += 8;
}
__m512 _p512 = _mm512_loadu_ps(ptr);
_p512 = _mm512_fmadd_ps(_p512, _b512, _a512);
_mm512_storeu_ps(ptr, _p512);
ptr += 16;
}
}

return 0;
}
#endif // __AVX__

if (elempack == 4)
{
if (dims == 1)
{
int w = bottom_top_blob.w;

#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < w; i++)
#endif // __AVX512F__
for (; j + 7 < size; j += 8)
{
float* ptr = (float*)bottom_top_blob + i * 4;

__m128 _a = _mm_load_ps((const float*)a_data + i * 4);
__m128 _b = _mm_load_ps((const float*)b_data + i * 4);

__m128 _p = _mm_load_ps(ptr);
_p = _mm_mul_ps(_p, _b);
_p = _mm_add_ps(_p, _a);
_mm_store_ps(ptr, _p);
__m256 _p256 = _mm256_loadu_ps(ptr);
_p256 = _mm256_comp_fmadd_ps(_p256, _b256, _a256);
_mm256_storeu_ps(ptr, _p256);
ptr += 8;
}
}

if (dims == 2)
{
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;

#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < h; i++)
#endif // __AVX__
for (; j + 3 < size; j += 4)
{
__m128 _a = _mm_load_ps((const float*)a_data + i * 4);
__m128 _b = _mm_load_ps((const float*)b_data + i * 4);

float* ptr = bottom_top_blob.row(i);

for (int j = 0; j < w; j++)
{
__m128 _p = _mm_load_ps(ptr);
_p = _mm_mul_ps(_p, _b);
_p = _mm_add_ps(_p, _a);
_mm_store_ps(ptr, _p);

ptr += 4;
}
__m128 _p128 = _mm_loadu_ps(ptr);
_p128 = _mm_comp_fmadd_ps(_p128, _b128, _a128);
_mm_storeu_ps(ptr, _p128);
ptr += 4;
}
}

if (dims == 3 || dims == 4)
{
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;
int d = bottom_top_blob.d;
int c = bottom_top_blob.c;
int size = w * h * d;

#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < c; q++)
#endif // __SSE__
for (; j < size; j++)
{
__m128 _a = _mm_load_ps((const float*)a_data + q * 4);
__m128 _b = _mm_load_ps((const float*)b_data + q * 4);

float* ptr = bottom_top_blob.channel(q);

for (int i = 0; i < size; i++)
{
__m128 _p = _mm_load_ps(ptr);
_p = _mm_mul_ps(_p, _b);
_p = _mm_add_ps(_p, _a);
_mm_store_ps(ptr, _p);

ptr += 4;
}
*ptr = b * *ptr + a;
ptr++;
}
}

return 0;
}
#endif // __SSE2__

if (dims != 3 && dims != 4)
return BatchNorm::forward_inplace(bottom_top_blob, opt);

int w = bottom_top_blob.w;
int h = bottom_top_blob.h;
int d = bottom_top_blob.d;
// int c = bottom_top_blob.c;
int size = w * h * d;

#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < channels; q++)
if (dims == 3 || dims == 4)
{
float* ptr = bottom_top_blob.channel(q);
const int size = w * h * d * elempack;

float a = a_data[q];
float b = b_data[q];
#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < c; q++)
{
float* ptr = bottom_top_blob.channel(q);
float a = a_data[q];
float b = b_data[q];

int i = 0;
#if __SSE2__
__m128 _a128 = (elempack == 4) ? _mm_loadu_ps((const float*)a_data + q * 4) : _mm_set1_ps(a);
__m128 _b128 = (elempack == 4) ? _mm_loadu_ps((const float*)b_data + q * 4) : _mm_set1_ps(b);
#if __AVX__
__m256 _a256 = _mm256_set1_ps(a);
__m256 _b256 = _mm256_set1_ps(b);
for (; i + 7 < size; i += 8)
{
__m256 _p = _mm256_loadu_ps(ptr);
_p = _mm256_comp_fmadd_ps(_p, _b256, _a256);
_mm256_storeu_ps(ptr, _p);
ptr += 8;
}
__m128 _a128 = _mm256_castps256_ps128(_a256);
__m128 _b128 = _mm256_castps256_ps128(_b256);
#else
__m128 _a128 = _mm_set1_ps(a);
__m128 _b128 = _mm_set1_ps(b);
__m256 _a256 = (elempack == 8) ? _mm256_loadu_ps((const float*)a_data + q * 8) : _mm256_insertf128_ps(_mm256_castps128_ps256(_a128), _a128, 1);
__m256 _b256 = (elempack == 8) ? _mm256_loadu_ps((const float*)b_data + q * 8) : _mm256_insertf128_ps(_mm256_castps128_ps256(_b128), _b128, 1);
#if __AVX512F__
__m512 _a512 = (elempack == 16) ? _mm512_loadu_ps((const float*)a_data + q * 16) : _mm512_insertf32x8(_mm512_castps256_ps512(_a256), _a256, 1);
__m512 _b512 = (elempack == 16) ? _mm512_loadu_ps((const float*)b_data + q * 16) : _mm512_insertf32x8(_mm512_castps256_ps512(_b256), _b256, 1);
#endif // __AVX512F__
#endif // __AVX__
for (; i + 3 < size; i += 4)
{
__m128 _p = _mm_load_ps(ptr);
_p = _mm_mul_ps(_p, _b128);
_p = _mm_add_ps(_p, _a128);
_mm_store_ps(ptr, _p);
ptr += 4;
}
#endif // __SSE2__
for (; i < size; i++)
{
*ptr = b * *ptr + a;

ptr++;
int i = 0;
#if __SSE2__
#if __AVX__
#if __AVX512F__
for (; i + 15 < size; i += 16)
{
__m512 _p512 = _mm512_loadu_ps(ptr);
_p512 = _mm512_fmadd_ps(_p512, _b512, _a512);
_mm512_storeu_ps(ptr, _p512);
ptr += 16;
}
#endif // __AVX512F__
for (; i + 7 < size; i += 8)
{
__m256 _p256 = _mm256_loadu_ps(ptr);
_p256 = _mm256_comp_fmadd_ps(_p256, _b256, _a256);
_mm256_storeu_ps(ptr, _p256);
ptr += 8;
}
#endif // __AVX__
for (; i + 3 < size; i += 4)
{
__m128 _p128 = _mm_loadu_ps(ptr);
_p128 = _mm_comp_fmadd_ps(_p128, _b128, _a128);
_mm_storeu_ps(ptr, _p128);
ptr += 4;
}
#endif // __SSE__
for (; i < size; i++)
{
*ptr = b * *ptr + a;
ptr++;
}
}
}



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