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02f7529f
编写于
11月 08, 2018
作者:
H
hjchen2
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
complete kernel transform function
上级
68e8dc4a
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
273 addition
and
60 deletion
+273
-60
src/operators/kernel/central-arm-func/conv_arm_func.h
src/operators/kernel/central-arm-func/conv_arm_func.h
+1
-1
src/operators/math/winograd/winograd_transform_f6k3.cpp
src/operators/math/winograd/winograd_transform_f6k3.cpp
+272
-59
未找到文件。
src/operators/kernel/central-arm-func/conv_arm_func.h
浏览文件 @
02f7529f
...
@@ -166,7 +166,7 @@ void ConvCompute(const ConvParam<CPU> ¶m) {
...
@@ -166,7 +166,7 @@ void ConvCompute(const ConvParam<CPU> ¶m) {
param
.
Strides
()[
0
]
==
param
.
Strides
()[
1
]
&&
param
.
Strides
()[
0
]
==
param
.
Strides
()[
1
]
&&
param
.
Dilations
()[
0
]
==
param
.
Dilations
()[
1
]
&&
param
.
Dilations
()[
0
]
==
param
.
Dilations
()[
1
]
&&
param
.
Filter
()
->
dims
()[
2
]
==
3
&&
param
.
Strides
()[
0
]
==
1
&&
param
.
Filter
()
->
dims
()[
2
]
==
3
&&
param
.
Strides
()[
0
]
==
1
&&
param
.
Dilations
()[
0
]
==
1
&&
param
.
Input
()
->
dims
()[
1
]
>
16
)
{
param
.
Dilations
()[
0
]
==
1
&&
param
.
Input
()
->
dims
()[
1
]
>
=
16
)
{
BatchConv3x3Winograd
(
param
);
BatchConv3x3Winograd
(
param
);
}
else
{
}
else
{
ConvBasic
<
float
,
float
>
(
param
);
ConvBasic
<
float
,
float
>
(
param
);
...
...
src/operators/math/winograd/winograd_transform_f6k3.cpp
浏览文件 @
02f7529f
...
@@ -12,11 +12,10 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
...
@@ -12,11 +12,10 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
See the License for the specific language governing permissions and
limitations under the License. */
limitations under the License. */
//
refered from
https://arxiv.org/abs/1509.09308 and
//
Inspired by
https://arxiv.org/abs/1509.09308 and
// https://github.com/andravin/wincnn
// https://github.com/andravin/wincnn
#pragma once
// Refered from nnpack and ncnn project
#include <arm_neon.h>
#include "operators/math/pad.h"
#include "operators/math/pad.h"
#include "operators/math/winograd/winograd_transform.h"
#include "operators/math/winograd/winograd_transform.h"
...
@@ -27,16 +26,6 @@ namespace math {
...
@@ -27,16 +26,6 @@ namespace math {
template
<
>
template
<
>
void
winograd_transform_weight
<
8
,
3
>
(
const
framework
::
Tensor
&
weight
,
void
winograd_transform_weight
<
8
,
3
>
(
const
framework
::
Tensor
&
weight
,
framework
::
Tensor
*
output
)
{
framework
::
Tensor
*
output
)
{
// weight shape is [out_channel, in_channel, kernel_h, kernel_w]
int
out_channel
=
weight
.
dims
()[
0
];
int
in_channel
=
weight
.
dims
()[
1
];
// reshape and alloc transformed weight
// framework::DDim transformed_shape = framework::make_ddim(
// std::vector<int>{out_channel, (in_channel + 3) / 4, 8, 32});
framework
::
DDim
transformed_shape
=
framework
::
make_ddim
(
std
::
vector
<
int
>
{(
out_channel
+
3
)
/
4
,
64
,
in_channel
,
4
});
float
*
outptr
=
output
->
mutable_data
<
float
>
(
transformed_shape
);
memset
(
outptr
,
0
,
output
->
numel
()
*
sizeof
(
float
));
/*
/*
* w0 = g0
* w0 = g0
* w1 = ((g0 + g2) + g1) * (-2.0 / 9)
* w1 = ((g0 + g2) + g1) * (-2.0 / 9)
...
@@ -47,51 +36,276 @@ void winograd_transform_weight<8, 3>(const framework::Tensor &weight,
...
@@ -47,51 +36,276 @@ void winograd_transform_weight<8, 3>(const framework::Tensor &weight,
* w6 = ((g2 + 4 * g0) - 2 * g1) * (1.0 / 180)
* w6 = ((g2 + 4 * g0) - 2 * g1) * (1.0 / 180)
* w7 = g2
* w7 = g2
*/
*/
/*
// weight shape is [out_channel, in_channel, kernel_h, kernel_w]
const float *inptr = weight.data<float>();
int
out_channel
=
weight
.
dims
()[
0
];
for (int oc = 0; oc < out_channel; ++oc) {
int
in_channel
=
weight
.
dims
()[
1
];
for (int ic = 0; ic < in_channel; ++ic) {
// reshape and alloc transformed weight
size_t offset = oc * in_channel + ic;
framework
::
DDim
transformed_shape
=
framework
::
make_ddim
(
float *kout = outptr + offset * 64;
std
::
vector
<
int
>
{(
out_channel
+
3
)
/
4
,
64
,
in_channel
,
4
});
const float *k = inptr + offset * 9;
float
*
trans_outptr
=
output
->
mutable_data
<
float
>
(
transformed_shape
);
float gw[8][3];
memset
(
trans_outptr
,
0
,
output
->
numel
()
*
sizeof
(
float
));
for (int i = 0; i < 3; ++i) {
float k0 = k[i];
const
float
transform_matrix
[
8
]
=
{
2.
f
,
-
2.
f
/
9
,
1.
f
/
90
,
1.
f
/
180
};
float k1 = k[3 + i];
const
float
*
inptr
=
weight
.
data
<
float
>
();
float k2 = k[6 + i];
int
remain_start
=
out_channel
&
0xFFFC
;
float d0 = k0 + k2;
#ifdef __aarch64__
float d1 = k0 + 4 * k2;
remain_start
=
0
;
float d2 = 4 * k0 + k2;
#else
float d3 = 2 * k1;
for
(
int
oc
=
0
;
oc
<
out_channel
;
oc
+=
4
)
{
gw[0][i] = k0;
float
gw
[
96
];
// gw[3][8][4]
gw[1][i] = -2.f/9 * (d0 + k1); // -2.f/9 * (k0 + k1 + k2)
const
float
*
inptr0
=
inptr
+
oc
*
in_channel
*
9
;
//
gw[2][i] = -2.f/9 * (d0 - k1); // -2.f/9 * (k0 - k1 + k2)
const
float
*
inptr1
=
inptr
+
(
oc
+
1
)
*
in_channel
*
9
;
gw[3][i] = 1.f/90 * (d1 + d3); // 1.f/90 * (k0 + 2 * k1 + 4 * k2)
const
float
*
inptr2
=
inptr
+
(
oc
+
2
)
*
in_channel
*
9
;
gw[4][i] = 1.f/90 * (d1 - d3); // 1.f/90 * (k0 - 2 * k1 + 4 * k2)
const
float
*
inptr3
=
inptr
+
(
oc
+
3
)
*
in_channel
*
9
;
gw[5][i] = 8.f/45 * (d2 + d3); // 8.f/45 * (4 * k0 + 2 * k1 + k2)
// oc * 64 * in_channel
gw[6][i] = 8.f/45 * (d2 - d3); // 8.f/45 * (4 * k0 - 2 * k1 + k2)
float
*
outptr
=
trans_outptr
+
((
oc
*
in_channel
)
<<
6
);
gw[7][i] = k2;
for
(
int
ic
=
0
;
ic
<
in_channel
;
++
ic
)
{
}
float
*
gw_ptr
=
gw
;
for (int i = 0; i < 8; ++i, kout += 8) {
asm
volatile
(
float k0 = gw[i][0];
"vld1.32 {d0-d1}, [%[tm_ptr]]
\n
"
float k1 = gw[i][1];
float k2 = gw[i][2];
"mov r0, #6
\n
"
float d0 = k0 + k2;
"vld1.32 {d2-d5}, [%[inptr0]], r0
\n
"
float d1 = k0 + 4 * k2;
"vld1.32 {d6-d9}, [%[inptr1]], r0
\n
"
float d2 = 4 * k0 + k2;
"vld1.32 {d10-d13}, [%[inptr2]], r0
\n
"
float d3 = 2 * k1;
"vld1.32 {d14-d17}, [%[inptr3]], r0
\n
"
kout[0] = gw[i][0];
"vtrn.32 q1, q3
\n
"
kout[1] = -2.f/9 * (d0 + k1); // -2.f/9 * (k0 + k1 + k2)
"vtrn.32 q2, q4
\n
"
kout[2] = -2.f/9 * (d0 - k1); // -2.f/9 * (k0 - k1 + k2)
"vtrn.32 q5, q7
\n
"
kout[3] = 1.f/90 * (d1 + d3); // 1.f/90 * (k0 + 2 * k1 + 4 * k2)
"vtrn.32 q6, q8
\n
"
kout[4] = 1.f/90 * (d1 - d3); // 1.f/90 * (k0 - 2 * k1 + 4 * k2)
"vswp.32 d3, d10
\n
"
kout[5] = 8.f/45 * (d2 + d3); // 8.f/45 * (4 * k0 + 2 * k1 + k2)
"vswp.32 d7, d14
\n
"
kout[6] = 8.f/45 * (d2 - d3); // 8.f/45 * (4 * k0 - 2 * k1 + k2)
"vswp.32 d5, d12
\n
"
kout[7] = gw[i][2];
"vswp.32 d9, d16
\n
"
}
// q1: g0, q3: g1, q5: g2
"vst1.32 {d2-d3}, [%[gw_ptr]]!
\n
"
"vadd.f32 q9, q1, q5
\n
"
"vadd.f32 q10, q9, q3
\n
"
"vsub.f32 q11, q9, q3
\n
"
"vmul.f32 q10, q10, d0[1]
\n
"
"vst1.32 {d20-d21}, [%[gw_ptr]]!
\n
"
"vmul.f32 q11, q11, d0[1]
\n
"
"vst1.32 {d22-d23}, [%[gw_ptr]]!
\n
"
"vmul.f32 q9, q1, d0[0]
\n
"
"vmul.f32 q9, q9, d0[0]
\n
"
// 4 * g0
"vmul.f32 q10, q3, d0[0]
\n
"
// 2 * g1
"vmul.f32 q11, q5, d0[0]
\n
"
"vmul.f32 q11, q11, d0[0]
\n
"
// 4 * g2
"vadd.f32 q12, q1, q11
\n
"
"vadd.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[0]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vsub.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[0]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vadd.f32 q12, q5, q9
\n
"
"vadd.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[1]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vsub.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[1]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vst1.32 {d10-d11}, [%[gw_ptr]]!
\n
"
// q7: g0, q2: g1, q4: g2
"vst1.32 {d14-d15}, [%[gw_ptr]]!
\n
"
"vadd.f32 q9, q7, q4
\n
"
"vadd.f32 q10, q9, q2
\n
"
"vsub.f32 q11, q9, q2
\n
"
"vmul.f32 q10, q10, d0[1]
\n
"
"vst1.32 {d20-d21}, [%[gw_ptr]]!
\n
"
"vmul.f32 q11, q11, d0[1]
\n
"
"vst1.32 {d22-d23}, [%[gw_ptr]]!
\n
"
"vmul.f32 q9, q7, d0[0]
\n
"
"vmul.f32 q9, q9, d0[0]
\n
"
// 4 * g0
"vmul.f32 q10, q2, d0[0]
\n
"
// 2 * g1
"vmul.f32 q11, q4, d0[0]
\n
"
"vmul.f32 q11, q11, d0[0]
\n
"
// 4 * g2
"vadd.f32 q12, q7, q11
\n
"
"vadd.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[0]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vsub.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[0]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vadd.f32 q12, q4, q9
\n
"
"vadd.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[1]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vsub.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[1]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vst1.32 {d8-d9}, [%[gw_ptr]]!
\n
"
"mov r0, #3
\n
"
"vld1.32 {d2-d5}, [%[inptr0]], r0
\n
"
"vld1.32 {d6-d9}, [%[inptr1]], r0
\n
"
"vld1.32 {d10-d13}, [%[inptr2]], r0
\n
"
"vld1.32 {d14-d17}, [%[inptr3]], r0
\n
"
"vtrn.32 q1, q3
\n
"
"vtrn.32 q2, q4
\n
"
"vtrn.32 q5, q7
\n
"
"vtrn.32 q6, q8
\n
"
"vswp.32 d3, d10
\n
"
"vswp.32 d7, d14
\n
"
"vswp.32 d5, d12
\n
"
"vswp.32 d9, d16
\n
"
// q1: g0, q3: g1, q5: g2
"vst1.32 {d2-d3}, [%[gw_ptr]]!
\n
"
"vadd.f32 q9, q1, q5
\n
"
"vadd.f32 q10, q9, q3
\n
"
"vsub.f32 q11, q9, q3
\n
"
"vmul.f32 q10, q10, d0[1]
\n
"
"vst1.32 {d20-d21}, [%[gw_ptr]]!
\n
"
"vmul.f32 q11, q11, d0[1]
\n
"
"vst1.32 {d22-d23}, [%[gw_ptr]]!
\n
"
"vmul.f32 q9, q1, d0[0]
\n
"
"vmul.f32 q9, q9, d0[0]
\n
"
// 4 * g0
"vmul.f32 q10, q3, d0[0]
\n
"
// 2 * g1
"vmul.f32 q11, q5, d0[0]
\n
"
"vmul.f32 q11, q11, d0[0]
\n
"
// 4 * g2
"vadd.f32 q12, q1, q11
\n
"
"vadd.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[0]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vsub.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[0]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vadd.f32 q12, q5, q9
\n
"
"vadd.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[1]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vsub.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[1]
\n
"
"vst1.32 {d26-d27}, [%[gw_ptr]]!
\n
"
"vst1.32 {d10-d11}, [%[gw_ptr]]!
\n
"
:
[
gw_ptr
]
"+r"
(
gw_ptr
),
[
inptr0
]
"+r"
(
inptr0
),
[
inptr1
]
"+r"
(
inptr1
),
[
inptr2
]
"+r"
(
inptr0
),
[
inptr3
]
"+r"
(
inptr3
)
:
[
tm_ptr
]
"r"
((
float
*
)
transform_matrix
)
:
"cc"
,
"memory"
,
"q0"
,
"q1"
,
"q2"
,
"q3"
,
"q4"
,
"q5"
,
"q6"
,
"q7"
,
"q8"
,
"q9"
,
"q10"
,
"q11"
,
"q12"
,
"q13"
,
"r0"
);
float
*
gw_ptr0
=
gw
;
float
*
gw_ptr1
=
gw
+
32
;
float
*
gw_ptr2
=
gw
+
64
;
float
*
outptr0
=
outptr
+
(
ic
<<
2
);
// ic * 4
int
steps
=
(
in_channel
<<
2
);
// in_channel * 4
asm
volatile
(
"vld1.32 {d0-d1}, [%[tm_ptr]]
\n
"
"mov r0, #8
\n
"
"loop_8_%=:
\n
"
"vld1.32 {d2-d3}, [%[gw_ptr0]]!
\n
"
"vld1.32 {d4-d5}, [%[gw_ptr1]]!
\n
"
"vld1.32 {d6-d7}, [%[gw_ptr2]]!
\n
"
// q1: g0, q2: g1, q3: g2
"vst1.32 {d2-d3}, [%[outptr0]], %[steps]
\n
"
"vadd.f32 q9, q1, q3
\n
"
"vadd.f32 q10, q9, q2
\n
"
"vsub.f32 q11, q9, q2
\n
"
"vmul.f32 q10, q10, d0[1]
\n
"
"vst1.32 {d20-d21}, [%[outptr0]], %[steps]
\n
"
"vmul.f32 q11, q11, d0[1]
\n
"
"vst1.32 {d22-d23}, [%[outptr0]], %[steps]
\n
"
"vmul.f32 q9, q1, d0[0]
\n
"
"vmul.f32 q9, q9, d0[0]
\n
"
// 4 * g0
"vmul.f32 q10, q2, d0[0]
\n
"
// 2 * g1
"vmul.f32 q11, q3, d0[0]
\n
"
"vmul.f32 q11, q11, d0[0]
\n
"
// 4 * g2
"vadd.f32 q12, q1, q11
\n
"
"vadd.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[0]
\n
"
"vst1.32 {d26-d27}, [%[outptr0]], %[steps]
\n
"
"vsub.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[0]
\n
"
"vst1.32 {d26-d27}, [%[outptr0]], %[steps]
\n
"
"vadd.f32 q12, q2, q9
\n
"
"vadd.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[1]
\n
"
"vst1.32 {d26-d27}, [%[outptr0]], %[steps]
\n
"
"vsub.f32 q13, q12, q10
\n
"
"vmul.f32 q13, q13, d1[1]
\n
"
"vst1.32 {d26-d27}, [%[outptr0]], %[steps]
\n
"
"vst1.32 {d6-d7}, [%[outptr0]], %[steps]
\n
"
"subs r0, #1
\n
"
"bne loop_8_%=
\n
"
:
[
outptr0
]
"+r"
(
outptr0
),
[
gw_ptr0
]
"+r"
(
gw_ptr0
),
[
gw_ptr1
]
"+r"
(
gw_ptr1
),
[
gw_ptr2
]
"+r"
(
gw_ptr2
)
:
[
tm_ptr
]
"r"
((
float
*
)
transform_matrix
),
[
steps
]
"r"
(
steps
)
:
"cc"
,
"memory"
,
"q0"
,
"q1"
,
"q2"
,
"q3"
,
"q9"
,
"q10"
,
"q11"
,
"q12"
,
"q13"
,
"r0"
);
}
}
#endif // __aarch64__
// remain output channel
for
(
int
oc
=
remain_start
;
oc
<
out_channel
;
++
oc
)
{
float
gw
[
8
][
3
];
// gw[3][8]
const
float
*
inptr0
=
inptr
+
oc
*
in_channel
*
9
;
//
// oc * 64 * in_channel + oc % 4
int
offset
=
((
oc
*
in_channel
)
<<
6
)
+
oc
&
0x3
;
int
steps
=
(
in_channel
<<
2
);
// in_channel * 4
float
*
outptr
=
trans_outptr
+
offset
;
for
(
int
ic
=
0
;
ic
<
in_channel
;
++
ic
)
{
for
(
int
i
=
0
;
i
<
3
;
++
i
)
{
float
g0
=
inptr0
[
i
];
float
g1
=
inptr0
[
3
+
i
];
float
g2
=
inptr0
[
6
+
i
];
float
d0
=
g0
+
g2
;
float
d1
=
g0
+
4
*
g2
;
float
d2
=
g2
+
4
*
g0
;
float
d3
=
2
*
g1
;
gw
[
0
][
i
]
=
g0
;
gw
[
1
][
i
]
=
-
2.
f
/
9
*
(
d0
+
g1
);
// -2.f/9 * (g0 + g1 + g2)
gw
[
2
][
i
]
=
-
2.
f
/
9
*
(
d0
-
g1
);
// -2.f/9 * (g0 - g1 + g2)
gw
[
3
][
i
]
=
1.
f
/
90
*
(
d1
+
d3
);
// 1.f/90 * (g0 + 2 * g1 + 4 * g2)
gw
[
4
][
i
]
=
1.
f
/
90
*
(
d1
-
d3
);
// 1.f/90 * (g0 - 2 * g1 + 4 * g2)
gw
[
5
][
i
]
=
8.
f
/
45
*
(
d2
+
d3
);
// 8.f/45 * (4 * g0 + 2 * g1 + g2)
gw
[
6
][
i
]
=
8.
f
/
45
*
(
d2
-
d3
);
// 8.f/45 * (4 * g0 - 2 * g1 + g2)
gw
[
7
][
i
]
=
g2
;
}
inptr0
+=
9
;
outptr
+=
ic
*
4
;
for
(
int
i
=
0
;
i
<
8
;
++
i
)
{
float
g0
=
gw
[
i
][
0
];
float
g1
=
gw
[
i
][
1
];
float
g2
=
gw
[
i
][
2
];
float
d0
=
g0
+
g2
;
float
d1
=
g0
+
4
*
g2
;
float
d2
=
g2
+
4
*
g0
;
float
d3
=
2
*
g1
;
int
offset
=
i
*
8
*
steps
;
outptr
[
offset
]
=
gw
[
i
][
0
];
outptr
[
offset
+
1
*
steps
]
=
-
2.
f
/
9
*
(
d0
+
g1
);
outptr
[
offset
+
2
*
steps
]
=
-
2.
f
/
9
*
(
d0
-
g1
);
outptr
[
offset
+
3
*
steps
]
=
1.
f
/
90
*
(
d1
+
d3
);
outptr
[
offset
+
4
*
steps
]
=
1.
f
/
90
*
(
d1
-
d3
);
outptr
[
offset
+
5
*
steps
]
=
8.
f
/
45
*
(
d2
+
d3
);
outptr
[
offset
+
6
*
steps
]
=
8.
f
/
45
*
(
d2
-
d3
);
outptr
[
offset
+
7
*
steps
]
=
gw
[
i
][
2
];
}
}
}
}
*/
}
}
}
template
<
>
template
<
>
...
@@ -721,7 +935,6 @@ void winograd_transform_output<8, 3>(const framework::Tensor &input,
...
@@ -721,7 +935,6 @@ void winograd_transform_output<8, 3>(const framework::Tensor &input,
}
}
}
}
}
}
/*
/*
* s0 = m0 + (m1 + m2) + (m3 + m4) + 32 * (m5 + m6)
* s0 = m0 + (m1 + m2) + (m3 + m4) + 32 * (m5 + m6)
* s1 = (m1 - m2) + 2 * (m3 - m4) + 16 * (m5 - m6)
* s1 = (m1 - m2) + 2 * (m3 - m4) + 16 * (m5 - m6)
...
@@ -741,8 +954,8 @@ void winograd_transform_output<8, 3>(const framework::Tensor &input,
...
@@ -741,8 +954,8 @@ void winograd_transform_output<8, 3>(const framework::Tensor &input,
float
transform_matrix
[
8
]
=
{
2.
f
,
4.
f
,
8.
f
,
16.
f
};
float
transform_matrix
[
8
]
=
{
2.
f
,
4.
f
,
8.
f
,
16.
f
};
for
(
int
oc
=
0
;
oc
<
out_channel
;
++
oc
)
{
for
(
int
oc
=
0
;
oc
<
out_channel
;
++
oc
)
{
float
at_m
[
48
];
float
at_m
[
48
];
// [6][8]
float
output_tmp
[
36
];
float
output_tmp
[
36
];
// [6][6], temporarily restore results
const
float
*
uv_ptr
=
uv_trans_ptr
+
oc
*
h_tiles
*
w_tiles
*
64
;
const
float
*
uv_ptr
=
uv_trans_ptr
+
oc
*
h_tiles
*
w_tiles
*
64
;
for
(
int
tile_h
=
0
;
tile_h
<
h_tiles
;
++
tile_h
)
{
for
(
int
tile_h
=
0
;
tile_h
<
h_tiles
;
++
tile_h
)
{
for
(
int
tile_w
=
0
;
tile_w
<
w_tiles
;
++
tile_w
)
{
for
(
int
tile_w
=
0
;
tile_w
<
w_tiles
;
++
tile_w
)
{
...
...
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