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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.
-
- #include "relu_arm.h"
-
- #if __ARM_NEON
- #include <arm_neon.h>
- #endif // __ARM_NEON
-
- namespace ncnn {
-
- DEFINE_LAYER_CREATOR(ReLU_arm)
-
- int ReLU_arm::forward_inplace(Mat& bottom_top_blob, const Option& opt) const
- {
- int w = bottom_top_blob.w;
- int h = bottom_top_blob.h;
- int channels = bottom_top_blob.c;
- int size = w * h;
-
- if (slope == 0.f)
- {
- #pragma omp parallel for num_threads(opt.num_threads)
- for (int q=0; q<channels; q++)
- {
- float* ptr = bottom_top_blob.channel(q);
-
- #if __ARM_NEON
- int nn = size >> 2;
- int remain = size - (nn << 2);
- #else
- int remain = size;
- #endif // __ARM_NEON
-
- #if __ARM_NEON
- #if __aarch64__
- float32x4_t _zero = vdupq_n_f32(0.f);
- for (; nn>0; nn--)
- {
- float32x4_t _p = vld1q_f32(ptr);
- _p = vmaxq_f32(_p, _zero);
- vst1q_f32(ptr, _p);
-
- ptr += 4;
- }
- #else
- if (nn > 0)
- {
- asm volatile(
- "veor q1, q0, q0 \n"
- "0: \n"
- "pld [%1, #128] \n"
- "vld1.f32 {d0-d1}, [%1 :128] \n"
- "vmax.f32 q0, q0, q1 \n"
- "subs %0, #1 \n"
- "vst1.f32 {d0-d1}, [%1 :128]! \n"
- "bne 0b \n"
- : "=r"(nn), // %0
- "=r"(ptr) // %1
- : "0"(nn),
- "1"(ptr)
- : "cc", "memory", "q0", "q1"
- );
- }
- #endif // __aarch64__
- #endif // __ARM_NEON
- for (; remain>0; remain--)
- {
- *ptr = std::max(*ptr, 0.f);
-
- ptr++;
- }
- }
- }
- else
- {
- #pragma omp parallel for num_threads(opt.num_threads)
- for (int q=0; q<channels; q++)
- {
- float* ptr = bottom_top_blob.channel(q);
-
- #if __ARM_NEON
- int nn = size >> 2;
- int remain = size - (nn << 2);
- #else
- int remain = size;
- #endif // __ARM_NEON
-
- #if __ARM_NEON
- #if __aarch64__
- float32x4_t _zero = vdupq_n_f32(0.f);
- float32x4_t _slope = vdupq_n_f32(slope);
- for (; nn>0; nn--)
- {
- float32x4_t _p = vld1q_f32(ptr);
- uint32x4_t _lemask = vcleq_f32(_p, _zero);
- float32x4_t _ps = vmulq_f32(_p, _slope);
- _p = vbslq_f32(_lemask, _ps, _p);
- vst1q_f32(ptr, _p);
-
- ptr += 4;
- }
- #else
- if (nn > 0)
- {
- asm volatile(
- "veor q1, q0, q0 \n"
- "vdup.f32 q2, %4 \n"
- "0: \n"
- "pld [%1, #128] \n"
- "vld1.f32 {d0-d1}, [%1 :128] \n"
- "vcle.f32 q3, q0, q1 \n"
- "vmul.f32 q4, q0, q2 \n"
- "vbit.32 q0, q4, q3 \n"
- "subs %0, #1 \n"
- "vst1.f32 {d0-d1}, [%1 :128]! \n"
- "bne 0b \n"
- : "=r"(nn), // %0
- "=r"(ptr) // %1
- : "0"(nn),
- "1"(ptr),
- "r"(slope) // %4
- : "cc", "memory", "q0", "q1", "q2", "q3", "q4"
- );
- }
- #endif // __aarch64__
- #endif // __ARM_NEON
- for (; remain>0; remain--)
- {
- if (*ptr < 0)
- *ptr *= slope;
-
- ptr++;
- }
- }
- }
-
- return 0;
- }
-
- } // namespace ncnn
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