ncnn / src /layer /arm /batchnorm_arm_asimdhp.cpp
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//
// Copyright (C) 2022 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#include "batchnorm_arm.h"
#if __ARM_NEON
#include <arm_neon.h>
#endif // __ARM_NEON
namespace ncnn {
#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
int BatchNorm_arm::forward_inplace_fp16s(Mat& bottom_top_blob, const Option& opt) const
{
int dims = bottom_top_blob.dims;
int elempack = bottom_top_blob.elempack;
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++)
{
__fp16* ptr = (__fp16*)bottom_top_blob + i * 4;
float32x4_t _a = vld1q_f32((const float*)a_data + i * 4);
float32x4_t _b = vld1q_f32((const float*)b_data + i * 4);
float32x4_t _p = vcvt_f32_f16(vld1_f16(ptr));
_p = vfmaq_f32(_a, _p, _b);
vst1_f16(ptr, vcvt_f16_f32(_p));
}
}
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++)
{
float32x4_t _a = vld1q_f32((const float*)a_data + i * 4);
float32x4_t _b = vld1q_f32((const float*)b_data + i * 4);
__fp16* ptr = bottom_top_blob.row<__fp16>(i);
for (int j = 0; j < w; j++)
{
float32x4_t _p = vcvt_f32_f16(vld1_f16(ptr));
_p = vfmaq_f32(_a, _p, _b);
vst1_f16(ptr, vcvt_f16_f32(_p));
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++)
{
float32x4_t _a = vld1q_f32((const float*)a_data + q * 4);
float32x4_t _b = vld1q_f32((const float*)b_data + q * 4);
__fp16* ptr = bottom_top_blob.channel(q);
for (int i = 0; i < size; i++)
{
float32x4_t _p = vcvt_f32_f16(vld1_f16(ptr));
_p = vfmaq_f32(_a, _p, _b);
vst1_f16(ptr, vcvt_f16_f32(_p));
ptr += 4;
}
}
}
return 0;
}
if (dims == 1)
{
int w = bottom_top_blob.w;
__fp16* ptr = bottom_top_blob;
#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < w; i++)
{
ptr[i] = b_data[i] * ptr[i] + a_data[i];
}
}
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++)
{
__fp16* ptr = bottom_top_blob.row<__fp16>(i);
float a = a_data[i];
float b = b_data[i];
float32x4_t _a = vdupq_n_f32(a);
float32x4_t _b = vdupq_n_f32(b);
int j = 0;
for (; j + 3 < w; j += 4)
{
float32x4_t _p = vcvt_f32_f16(vld1_f16(ptr));
_p = vfmaq_f32(_a, _p, _b);
vst1_f16(ptr, vcvt_f16_f32(_p));
ptr += 4;
}
for (; j < w; j++)
{
*ptr = b * *ptr + a;
ptr++;
}
}
}
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++)
{
__fp16* ptr = bottom_top_blob.channel(q);
float a = a_data[q];
float b = b_data[q];
float32x4_t _a = vdupq_n_f32(a);
float32x4_t _b = vdupq_n_f32(b);
int j = 0;
for (; j + 3 < size; j += 4)
{
float32x4_t _p = vcvt_f32_f16(vld1_f16(ptr));
_p = vfmaq_f32(_a, _p, _b);
vst1_f16(ptr, vcvt_f16_f32(_p));
ptr += 4;
}
for (; j < size; j++)
{
*ptr = b * *ptr + a;
ptr++;
}
}
}
return 0;
}
int BatchNorm_arm::forward_inplace_fp16sa(Mat& bottom_top_blob, const Option& opt) const
{
int dims = bottom_top_blob.dims;
int elempack = bottom_top_blob.elempack;
if (elempack == 8)
{
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++)
{
__fp16* ptr = (__fp16*)bottom_top_blob + i * 8;
float16x8_t _a = vcombine_f16(vcvt_f16_f32(vld1q_f32((const float*)a_data + i * 8)), vcvt_f16_f32(vld1q_f32((const float*)a_data + i * 8 + 4)));
float16x8_t _b = vcombine_f16(vcvt_f16_f32(vld1q_f32((const float*)b_data + i * 8)), vcvt_f16_f32(vld1q_f32((const float*)b_data + i * 8 + 4)));
float16x8_t _p = vld1q_f16(ptr);
_p = vfmaq_f16(_a, _p, _b);
vst1q_f16(ptr, _p);
}
}
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++)
{
float16x8_t _a = vcombine_f16(vcvt_f16_f32(vld1q_f32((const float*)a_data + i * 8)), vcvt_f16_f32(vld1q_f32((const float*)a_data + i * 8 + 4)));
float16x8_t _b = vcombine_f16(vcvt_f16_f32(vld1q_f32((const float*)b_data + i * 8)), vcvt_f16_f32(vld1q_f32((const float*)b_data + i * 8 + 4)));
__fp16* ptr = bottom_top_blob.row<__fp16>(i);
for (int j = 0; j < w; j++)
{
float16x8_t _p = vld1q_f16(ptr);
_p = vfmaq_f16(_a, _p, _b);
vst1q_f16(ptr, _p);
ptr += 8;
}
}
}
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++)
{
float16x8_t _a = vcombine_f16(vcvt_f16_f32(vld1q_f32((const float*)a_data + q * 8)), vcvt_f16_f32(vld1q_f32((const float*)a_data + q * 8 + 4)));
float16x8_t _b = vcombine_f16(vcvt_f16_f32(vld1q_f32((const float*)b_data + q * 8)), vcvt_f16_f32(vld1q_f32((const float*)b_data + q * 8 + 4)));
__fp16* ptr = bottom_top_blob.channel(q);
for (int i = 0; i < size; i++)
{
float16x8_t _p = vld1q_f16(ptr);
_p = vfmaq_f16(_a, _p, _b);
vst1q_f16(ptr, _p);
ptr += 8;
}
}
}
return 0;
}
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++)
{
__fp16* ptr = (__fp16*)bottom_top_blob + i * 4;
float16x4_t _a = vcvt_f16_f32(vld1q_f32((const float*)a_data + i * 4));
float16x4_t _b = vcvt_f16_f32(vld1q_f32((const float*)b_data + i * 4));
float16x4_t _p = vld1_f16(ptr);
_p = vfma_f16(_a, _p, _b);
vst1_f16(ptr, _p);
}
}
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++)
{
float16x4_t _a = vcvt_f16_f32(vld1q_f32((const float*)a_data + i * 4));
float16x4_t _b = vcvt_f16_f32(vld1q_f32((const float*)b_data + i * 4));
__fp16* ptr = bottom_top_blob.row<__fp16>(i);
for (int j = 0; j < w; j++)
{
float16x4_t _p = vld1_f16(ptr);
_p = vfma_f16(_a, _p, _b);
vst1_f16(ptr, _p);
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++)
{
float16x4_t _a = vcvt_f16_f32(vld1q_f32((const float*)a_data + q * 4));
float16x4_t _b = vcvt_f16_f32(vld1q_f32((const float*)b_data + q * 4));
__fp16* ptr = bottom_top_blob.channel(q);
for (int i = 0; i < size; i++)
{
float16x4_t _p = vld1_f16(ptr);
_p = vfma_f16(_a, _p, _b);
vst1_f16(ptr, _p);
ptr += 4;
}
}
}
return 0;
}
if (dims == 1)
{
int w = bottom_top_blob.w;
__fp16* ptr = bottom_top_blob;
#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < w; i++)
{
ptr[i] = (__fp16)b_data[i] * ptr[i] + (__fp16)a_data[i];
}
}
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++)
{
__fp16* ptr = bottom_top_blob.row<__fp16>(i);
__fp16 a = (__fp16)a_data[i];
__fp16 b = (__fp16)b_data[i];
float16x4_t _a = vdup_n_f16(a);
float16x4_t _b = vdup_n_f16(b);
int j = 0;
for (; j + 3 < w; j += 4)
{
float16x4_t _p = vld1_f16(ptr);
_p = vfma_f16(_a, _p, _b);
vst1_f16(ptr, _p);
ptr += 4;
}
for (; j < w; j++)
{
*ptr = b * *ptr + a;
ptr++;
}
}
}
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++)
{
__fp16* ptr = bottom_top_blob.channel(q);
__fp16 a = (__fp16)a_data[q];
__fp16 b = (__fp16)b_data[q];
float16x4_t _a = vdup_n_f16(a);
float16x4_t _b = vdup_n_f16(b);
int j = 0;
for (; j + 3 < size; j += 4)
{
float16x4_t _p = vld1_f16(ptr);
_p = vfma_f16(_a, _p, _b);
vst1_f16(ptr, _p);
ptr += 4;
}
for (; j < size; j++)
{
*ptr = b * *ptr + a;
ptr++;
}
}
}
return 0;
}
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
} // namespace ncnn