#include "relu_loongarch.h"
#if __loongarch_sx
#include <lsxintrin.h>
#endif
#include "loongarch_usability.h"
namespace ncnn {
ReLU_loongarch::ReLU_loongarch()
{
#if __loongarch_sx
support_packing = true;
#endif
}
int ReLU_loongarch::forward_inplace(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++)
{
float* ptr = bottom_top_blob.channel(q);
if (slope == 0.f)
{
int i = 0;
#if __loongarch_sx
__m128 _zero = (__m128)__lsx_vreplgr2vr_w(0);
for (; i + 3 < size; i += 4)
{
__builtin_prefetch(ptr + 16);
__m128 _p = (__m128)__lsx_vld(ptr, 0);
_p = __lsx_vfmax_s(_p, _zero);
__lsx_vst(_p, ptr, 0);
ptr += 4;
}
#endif
for (; i < size; i++)
{
if (*ptr < 0)
*ptr = 0;
ptr++;
}
}
else
{
int i = 0;
#if __loongarch_sx
__m128 _zero = (__m128)__lsx_vreplgr2vr_w(0);
__m128 _slope = (__m128)__lsx_vreplfr2vr_s(slope);
for (; i + 3 < size; i += 4)
{
__builtin_prefetch(ptr + 16);
__m128 _p = (__m128)__lsx_vld(ptr, 0);
__m128i _lemask = __lsx_vfcmp_cle_s(_p, _zero);
__m128 _ps = __lsx_vfmul_s(_p, _slope);
_p = (__m128)__lsx_vbitsel_v((__m128i)_p, (__m128i)_ps, (__m128i)_lemask);
__lsx_vst(_p, ptr, 0);
ptr += 4;
}
#endif
for (; i < size; i++)
{
if (*ptr < 0)
*ptr *= slope;
ptr++;
}
}
}
return 0;
}
}