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dnnsimd3.c
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dnnsimd3.c
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#include <stdint.h>
#include <string.h>
#include <stdlib.h>
#include <stdio.h>
#include <malloc.h>
#include <math.h>
#include <assert.h>
#include "cnntype.h"
#include "dnnsimd.h"
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
void dw_conv3x3_p1s1_bnrelu_core_tile2x2(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_core_tile2x1(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_ll_tile2x1(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_rr_tile2x1(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_core(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_ll(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_rr(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_tt(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_bb(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_tl(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_tr(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_bl(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
void dw_conv3x3_p1s1_bnrelu_br(
const int __Ln,
const int __Lx,
const int __Ly,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
);
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/* depthwise conv3x3 (stride = 1, same) */
void dw_conv3x3_p1s1_bnrelu(
int M,
int N,
int C1,
int C2,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
)
{
cnn_type_t * _px = __builtin_assume_aligned(__px, 16);
cnn_type_t * _py = __builtin_assume_aligned(__py, 16);
int __Ln = C1 * 1 * N;
tf_assert((C1 & (CNN_BCHSIZ - 1)) == 0);
tf_assert((C2 & 15) == 0);
{
int m = 0;
cnn_type_t * px = _px + (m-1) * N * C1 - C1;
cnn_type_t * py = _py + (m-0) * N * C2;
/* TL */
{
dw_conv3x3_p1s1_bnrelu_tl(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
/* TT */
for (int n = 1; n < (N-1); n++)
{
dw_conv3x3_p1s1_bnrelu_tt(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
/* TR */
{
dw_conv3x3_p1s1_bnrelu_tr(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
}
#if (0)
for (int m = 1; m < (M-2); m+=2)
{
cnn_type_t * px = _px + (m-1) * N * C1 - C1;
cnn_type_t * py = _py + (m-0) * N * C2;
/* LL */
{
dw_conv3x3_p1s1_bnrelu_ll_tile2x1(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
/* CC */
for (int n = 1; n < (N-2); n+=2)
{
dw_conv3x3_p1s1_bnrelu_core_tile2x2(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += (C1 + C1);
px += (C1 + C1);
}
if (N & 1)
{
dw_conv3x3_p1s1_bnrelu_core_tile2x1(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
/* RR */
{
dw_conv3x3_p1s1_bnrelu_rr_tile2x1(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
}
#endif
for (int m = 1; m < (M-1); m+=1)
{
// int m = M - 2;
cnn_type_t * px = _px + (m-1) * N * C1 - C1;
cnn_type_t * py = _py + (m-0) * N * C2;
/* LL */
{
dw_conv3x3_p1s1_bnrelu_ll(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
/* CC */
for (int n = 1; n < (N-1); n++)
{
dw_conv3x3_p1s1_bnrelu_core(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
/* RR */
{
dw_conv3x3_p1s1_bnrelu_rr(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
}
/* M - 1 */
{
int m = (M-1);
cnn_type_t * px = _px + (m-1) * N * C1 - C1;
cnn_type_t * py = _py + (m-0) * N * C2;
/* BL */
{
dw_conv3x3_p1s1_bnrelu_bl(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
/* BB */
for (int n = 1; n < (N-1); n++)
{
dw_conv3x3_p1s1_bnrelu_bb(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
/* BR */
{
dw_conv3x3_p1s1_bnrelu_br(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
py += C1;
px += C1;
}
}
}
/* depthwise conv3x3 (stride = 2, same) */
void dw_conv3x3_p1s2_bnrelu(
int M,
int N,
int C1,
int C2,
const cnn_type_t * restrict __px,
const cnn_type_t * restrict __pw,
const cnn_type_t * restrict __pu,
const cnn_type_t * restrict __ps,
const cnn_type_t * restrict __pb,
const cnn_type_t maxd,
cnn_type_t * restrict __py
)
{
cnn_type_t * _px = __builtin_assume_aligned(__px, 16);
cnn_type_t * _py = __builtin_assume_aligned(__py, 16);
int __Ln = C1 * 1 * N;
tf_assert((C1 & (CNN_BCHSIZ - 1)) == 0);
tf_assert((C2 & 15) == 0);
tf_assert((M & 1 ) == 0);
tf_assert((N & 1 ) == 0);
cnn_type_t * py = _py;
for (int m = 1; m < (M-1); m+=2)
{
cnn_type_t * px = _px + (m-1) * N * C1;
/* CC */
for (int n = 1; n < (N-1); n+=2)
{
dw_conv3x3_p1s1_bnrelu_core(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
px += (C1 + C1);
py += (C1 );
}
/* RR */
{
dw_conv3x3_p1s1_bnrelu_rr(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
px += (C1 + C1);
py += (C1 );
}
}
/* M - 1 */
{
int m = (M-1);
cnn_type_t * px = _px + (m-1) * N * C1;
/* BB */
for (int n = 1; n < (N-1); n+=2)
{
dw_conv3x3_p1s1_bnrelu_bb(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
px += (C1 + C1);
py += (C1 );
}
{
dw_conv3x3_p1s1_bnrelu_br(__Ln, C1, C2, px, __pw, __pu, __ps, __pb, maxd, py);
px += (C1 + C1);
py += (C1 );
}
}
}
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////