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be903e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 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 "clip_riscv.h"
#if __riscv_vector
#include <riscv_vector.h>
#include "rvv_mathfun.h"
#include "rvv_mathfun_fp16s.h"
#endif // __riscv_vector
namespace ncnn {
Clip_riscv::Clip_riscv()
{
#if __riscv_vector
support_packing = true;
#if __riscv_zfh
support_fp16_storage = true;
#endif
#endif // __riscv_vector
}
int Clip_riscv::forward_inplace(Mat& bottom_top_blob, const Option& opt) const
{
#if __riscv_vector && __riscv_zfh
int elembits = bottom_top_blob.elembits();
if (opt.use_fp16_storage && elembits == 16)
{
if (opt.use_fp16_arithmetic)
return forward_inplace_fp16sa(bottom_top_blob, opt);
else
return forward_inplace_fp16s(bottom_top_blob, opt);
}
#endif
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;
int d = bottom_top_blob.d;
int channels = bottom_top_blob.c;
int elempack = bottom_top_blob.elempack;
int size = w * h * d * elempack;
#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < channels; q++)
{
float* ptr = bottom_top_blob.channel(q);
#if __riscv_vector
int n = size;
while (n > 0)
{
size_t vl = vsetvl_e32m8(n);
vfloat32m8_t _p = vle32_v_f32m8(ptr, vl);
_p = vfmax_vf_f32m8(_p, min, vl);
_p = vfmin_vf_f32m8(_p, max, vl);
vse32_v_f32m8(ptr, _p, vl);
ptr += vl;
n -= vl;
}
#else // __riscv_vector
for (int i = 0; i < size; i++)
{
if (*ptr < min)
*ptr = min;
if (*ptr > max)
*ptr = max;
ptr++;
}
#endif // __riscv_vector
}
return 0;
}
#if __riscv_vector && __riscv_zfh
int Clip_riscv::forward_inplace_fp16s(Mat& bottom_top_blob, const Option& opt) const
{
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;
int d = bottom_top_blob.d;
int channels = bottom_top_blob.c;
int elempack = bottom_top_blob.elempack;
int size = w * h * d * elempack;
#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < channels; q++)
{
__fp16* ptr = bottom_top_blob.channel(q);
int n = size;
while (n > 0)
{
size_t vl = vsetvl_e16m4(n);
vfloat32m8_t _p = vfwcvt_f_f_v_f32m8(vle16_v_f16m4(ptr, vl), vl);
_p = vfmax_vf_f32m8(_p, min, vl);
_p = vfmin_vf_f32m8(_p, max, vl);
vse16_v_f16m4(ptr, vfncvt_f_f_w_f16m4(_p, vl), vl);
ptr += vl;
n -= vl;
}
}
return 0;
}
int Clip_riscv::forward_inplace_fp16sa(Mat& bottom_top_blob, const Option& opt) const
{
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;
int d = bottom_top_blob.d;
int channels = bottom_top_blob.c;
int elempack = bottom_top_blob.elempack;
int size = w * h * d * elempack;
#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < channels; q++)
{
__fp16* ptr = bottom_top_blob.channel(q);
int n = size;
while (n > 0)
{
size_t vl = vsetvl_e16m8(n);
vfloat16m8_t _p = vle16_v_f16m8(ptr, vl);
_p = vfmax_vf_f16m8(_p, min, vl);
_p = vfmin_vf_f16m8(_p, max, vl);
vse16_v_f16m8(ptr, _p, vl);
ptr += vl;
n -= vl;
}
}
return 0;
}
#endif // __riscv_vector && __riscv_zfh
} //namespace ncnn
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