ncnn / src /layer /riscv /clip_riscv.cpp
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// 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