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- // Tencent is pleased to support the open source community by making ncnn available.
- //
- // Copyright (C) 2017 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.
-
- #if __AVX__
- #include "avx_activation.h"
- #endif // __AVX__
-
- #include "prelu_x86.h"
-
- namespace ncnn {
-
- PReLU_x86::PReLU_x86()
- {
- #if __AVX__
- support_packing = true;
- #endif // __AVX__
- }
-
- int PReLU_x86::forward_inplace(Mat& bottom_top_blob, const Option& opt) const
- {
- int dims = bottom_top_blob.dims;
- int elempack = bottom_top_blob.elempack;
-
- #if __AVX__
- if (elempack == 8)
- {
- if (dims == 1)
- {
- int w = bottom_top_blob.w;
-
- if (num_slope > 1)
- {
- const float* slope = slope_data;
-
- #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 _p = _mm256_loadu_ps(ptr);
- __m256 _slope = _mm256_loadu_ps(slope + i * 8);
- _mm256_storeu_ps(ptr, prelu_avx(_p, _slope));
- }
- }
- else
- {
- __m256 _slope = _mm256_set1_ps(slope_data[0]);
-
- #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 _p = _mm256_loadu_ps(ptr);
- _mm256_storeu_ps(ptr, prelu_avx(_p, _slope));
- }
- }
- }
-
- 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++)
- {
- float* ptr = bottom_top_blob.row(i);
- __m256 _slope = num_slope > 1 ? _mm256_loadu_ps((const float*)slope_data + i * 8) : _mm256_set1_ps(slope_data[0]);
-
- for (int j = 0; j < w; j++)
- {
- __m256 _p = _mm256_loadu_ps(ptr);
- _mm256_storeu_ps(ptr, prelu_avx(_p, _slope));
- ptr += 8;
- }
- }
- }
-
- if (dims == 3)
- {
- int w = bottom_top_blob.w;
- int h = bottom_top_blob.h;
- int channels = bottom_top_blob.c;
- int size = w * h;
-
- #pragma omp parallel for num_threads(opt.num_threads)
- for (int q = 0; q < channels; q++)
- {
- float* ptr = bottom_top_blob.channel(q);
- __m256 _slope = num_slope > 1 ? _mm256_loadu_ps((const float*)slope_data + q * 8) : _mm256_set1_ps(slope_data[0]);
-
- for (int i = 0; i < size; i++)
- {
- __m256 _p = _mm256_loadu_ps(ptr);
- _mm256_storeu_ps(ptr, prelu_avx(_p, _slope));
- ptr += 8;
- }
- }
- }
-
- return 0;
- }
- #endif // __AVX__
-
- if (dims != 3)
- return PReLU::forward_inplace(bottom_top_blob, opt);
-
- int w = bottom_top_blob.w;
- int h = bottom_top_blob.h;
- int channels = bottom_top_blob.c;
- int size = w * h;
-
- const float* slope_data_ptr = slope_data;
-
- #pragma omp parallel for num_threads(opt.num_threads)
- for (int q = 0; q < channels; q++)
- {
- float* ptr = bottom_top_blob.channel(q);
- float slope = num_slope > 1 ? slope_data_ptr[q] : slope_data_ptr[0];
-
- #if __AVX__
- int nn = size >> 3;
- int remain = size - (nn << 3);
- #else
- int remain = size;
- #endif // __AVX__
-
- #if __AVX__
- for (; nn > 0; nn--)
- {
- __m256 _p = _mm256_loadu_ps(ptr);
- _mm256_storeu_ps(ptr, prelu_avx(_p, _mm256_set1_ps(slope)));
- ptr += 8;
- }
- #endif // __AVX__
- for (; remain > 0; remain--)
- {
- if (*ptr < 0)
- *ptr *= slope;
-
- ptr++;
- }
- }
-
- return 0;
- }
-
- } // namespace ncnn
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