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dfdfa644
编写于
8月 18, 2020
作者:
Z
zhaoyang-star
提交者:
GitHub
8月 18, 2020
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电子邮件补丁
差异文件
[ARM] Update op pixel_shuffle for arm kernel. test=develop (#4145)
上级
8de02e61
变更
4
显示空白变更内容
内联
并排
Showing
4 changed file
with
340 addition
and
28 deletion
+340
-28
lite/backends/arm/math/CMakeLists.txt
lite/backends/arm/math/CMakeLists.txt
+1
-0
lite/backends/arm/math/pixel_shuffle.cc
lite/backends/arm/math/pixel_shuffle.cc
+233
-0
lite/backends/arm/math/pixel_shuffle.h
lite/backends/arm/math/pixel_shuffle.h
+61
-0
lite/kernels/arm/pixel_shuffle_compute.cc
lite/kernels/arm/pixel_shuffle_compute.cc
+45
-28
未找到文件。
lite/backends/arm/math/CMakeLists.txt
浏览文件 @
dfdfa644
...
...
@@ -129,5 +129,6 @@ if (NOT HAS_ARM_MATH_LIB_DIR)
reduce_prod.cc
lstm.cc
clip.cc
pixel_shuffle.cc
DEPS
${
lite_kernel_deps
}
context tensor
)
endif
()
lite/backends/arm/math/pixel_shuffle.cc
0 → 100644
浏览文件 @
dfdfa644
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// 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 "lite/backends/arm/math/pixel_shuffle.h"
#include <arm_neon.h>
namespace
paddle
{
namespace
lite
{
namespace
arm
{
namespace
math
{
void
pixel_shuffle_scale2_fp32
(
const
float
*
input
,
float
*
output
,
const
int
num
,
const
int
hin
,
const
int
win
,
const
int
chout
,
const
int
hout
,
const
int
wout
)
{
const
int
upscale_factor
=
2
;
const
int
feat_size_in
=
win
*
hin
;
const
int
feat_size_out
=
wout
*
hout
;
const
int
cnt
=
win
>>
2
;
const
int
remain
=
win
-
(
cnt
<<
2
);
#pragma omp parallel for
// batch * out_channel loop
for
(
int
nc
=
0
;
nc
<
num
*
chout
;
nc
++
)
{
const
float
*
inptr
=
input
+
nc
*
feat_size_out
;
float
*
outptr
=
output
+
nc
*
feat_size_out
;
// out_height loop
for
(
int
h
=
0
;
h
<
hin
;
h
++
)
{
for
(
int
sh
=
0
;
sh
<
upscale_factor
;
sh
++
)
{
const
float
*
inptr_loc0
=
inptr
+
h
*
win
+
sh
*
feat_size_in
*
upscale_factor
;
const
float
*
inptr_loc1
=
inptr_loc0
+
feat_size_in
;
// out_width loop
for
(
int
i
=
0
;
i
<
cnt
;
i
++
)
{
float32x4_t
vin0
=
vld1q_f32
(
inptr_loc0
);
float32x4_t
vin1
=
vld1q_f32
(
inptr_loc1
);
float32x4x2_t
vin
=
{
vin0
,
vin1
};
vst2q_f32
(
outptr
,
vin
);
outptr
+=
8
;
inptr_loc0
+=
4
;
inptr_loc1
+=
4
;
}
for
(
int
j
=
0
;
j
<
remain
;
j
++
)
{
outptr
[
0
]
=
inptr_loc0
[
0
];
outptr
[
1
]
=
inptr_loc1
[
0
];
inptr_loc0
++
;
inptr_loc1
++
;
outptr
+=
upscale_factor
;
}
}
}
}
}
void
pixel_shuffle_scale3_fp32
(
const
float
*
input
,
float
*
output
,
const
int
num
,
const
int
hin
,
const
int
win
,
const
int
chout
,
const
int
hout
,
const
int
wout
)
{
const
int
upscale_factor
=
3
;
const
int
feat_size_in
=
win
*
hin
;
const
int
feat_size_out
=
wout
*
hout
;
const
int
cnt
=
win
>>
2
;
const
int
remain
=
win
-
(
cnt
<<
2
);
#pragma omp parallel for
// batch * out_channel loop
for
(
int
nc
=
0
;
nc
<
num
*
chout
;
nc
++
)
{
const
float
*
inptr
=
input
+
nc
*
feat_size_out
;
float
*
outptr
=
output
+
nc
*
feat_size_out
;
// out_height loop
for
(
int
h
=
0
;
h
<
hin
;
h
++
)
{
for
(
int
sh
=
0
;
sh
<
upscale_factor
;
sh
++
)
{
const
float
*
inptr_loc0
=
inptr
+
h
*
win
+
sh
*
feat_size_in
*
upscale_factor
;
const
float
*
inptr_loc1
=
inptr_loc0
+
feat_size_in
;
const
float
*
inptr_loc2
=
inptr_loc1
+
feat_size_in
;
// out_width loop
for
(
int
i
=
0
;
i
<
cnt
;
i
++
)
{
float32x4_t
vin0
=
vld1q_f32
(
inptr_loc0
);
float32x4_t
vin1
=
vld1q_f32
(
inptr_loc1
);
float32x4_t
vin2
=
vld1q_f32
(
inptr_loc2
);
float32x4x3_t
vin
=
{
vin0
,
vin1
,
vin2
};
vst3q_f32
(
outptr
,
vin
);
outptr
+=
12
;
inptr_loc0
+=
4
;
inptr_loc1
+=
4
;
inptr_loc2
+=
4
;
}
for
(
int
j
=
0
;
j
<
remain
;
j
++
)
{
outptr
[
0
]
=
inptr_loc0
[
0
];
outptr
[
1
]
=
inptr_loc1
[
0
];
outptr
[
2
]
=
inptr_loc2
[
0
];
inptr_loc0
++
;
inptr_loc1
++
;
inptr_loc2
++
;
outptr
+=
upscale_factor
;
}
}
}
}
}
void
pixel_shuffle_scale4_fp32
(
const
float
*
input
,
float
*
output
,
const
int
num
,
const
int
hin
,
const
int
win
,
const
int
chout
,
const
int
hout
,
const
int
wout
)
{
const
int
upscale_factor
=
4
;
const
int
feat_size_in
=
win
*
hin
;
const
int
feat_size_out
=
wout
*
hout
;
const
int
cnt
=
win
>>
2
;
const
int
remain
=
win
-
(
cnt
<<
2
);
#pragma omp parallel for
// batch * out_channel loop
for
(
int
nc
=
0
;
nc
<
num
*
chout
;
nc
++
)
{
const
float
*
inptr
=
input
+
nc
*
feat_size_out
;
float
*
outptr
=
output
+
nc
*
feat_size_out
;
// out_height loop
for
(
int
h
=
0
;
h
<
hin
;
h
++
)
{
for
(
int
sh
=
0
;
sh
<
upscale_factor
;
sh
++
)
{
const
float
*
inptr_loc0
=
inptr
+
h
*
win
+
sh
*
feat_size_in
*
upscale_factor
;
const
float
*
inptr_loc1
=
inptr_loc0
+
feat_size_in
;
const
float
*
inptr_loc2
=
inptr_loc1
+
feat_size_in
;
const
float
*
inptr_loc3
=
inptr_loc2
+
feat_size_in
;
// out_width loop
for
(
int
i
=
0
;
i
<
cnt
;
i
++
)
{
float32x4_t
vin0
=
vld1q_f32
(
inptr_loc0
);
float32x4_t
vin1
=
vld1q_f32
(
inptr_loc1
);
float32x4_t
vin2
=
vld1q_f32
(
inptr_loc2
);
float32x4_t
vin3
=
vld1q_f32
(
inptr_loc3
);
float32x4x4_t
vin
=
{
vin0
,
vin1
,
vin2
,
vin3
};
vst4q_f32
(
outptr
,
vin
);
outptr
+=
16
;
inptr_loc0
+=
4
;
inptr_loc1
+=
4
;
inptr_loc2
+=
4
;
inptr_loc3
+=
4
;
}
for
(
int
j
=
0
;
j
<
remain
;
j
++
)
{
outptr
[
0
]
=
inptr_loc0
[
0
];
outptr
[
1
]
=
inptr_loc1
[
0
];
outptr
[
2
]
=
inptr_loc2
[
0
];
outptr
[
3
]
=
inptr_loc3
[
0
];
inptr_loc0
++
;
inptr_loc1
++
;
inptr_loc2
++
;
inptr_loc3
++
;
outptr
+=
upscale_factor
;
}
}
}
}
}
void
pixel_shuffle_native_fp32
(
const
float
*
input
,
float
*
output
,
const
int
num
,
const
int
hin
,
const
int
win
,
const
int
chout
,
const
int
hout
,
const
int
wout
,
const
int
upscale_factor
)
{
#pragma omp parallel for
for
(
int
nc
=
0
;
nc
<
num
*
chout
;
nc
++
)
{
const
float
*
inptr
=
input
+
nc
*
hout
*
wout
;
float
*
outptr_nc
=
output
+
nc
*
hout
*
wout
;
for
(
int
sh
=
0
;
sh
<
upscale_factor
;
sh
++
)
{
for
(
int
sw
=
0
;
sw
<
upscale_factor
;
sw
++
)
{
float
*
outptr
=
outptr_nc
+
sh
*
wout
+
sw
;
for
(
int
h
=
0
;
h
<
hin
;
h
++
)
{
for
(
int
w
=
0
;
w
<
win
;
w
++
)
{
outptr
[
0
]
=
inptr
[
0
];
inptr
++
;
outptr
+=
upscale_factor
;
}
outptr
+=
(
upscale_factor
-
1
)
*
wout
;
}
}
}
}
}
}
// namespace math
}
// namespace arm
}
// namespace lite
}
// namespace paddle
lite/backends/arm/math/pixel_shuffle.h
0 → 100644
浏览文件 @
dfdfa644
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// 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.
#pragma once
#include "lite/utils/cp_logging.h"
namespace
paddle
{
namespace
lite
{
namespace
arm
{
namespace
math
{
void
pixel_shuffle_scale2_fp32
(
const
float
*
input
,
float
*
output
,
const
int
num
,
const
int
hin
,
const
int
win
,
const
int
chout
,
const
int
hout
,
const
int
wout
);
void
pixel_shuffle_scale3_fp32
(
const
float
*
input
,
float
*
output
,
const
int
num
,
const
int
hin
,
const
int
win
,
const
int
chout
,
const
int
hout
,
const
int
wout
);
void
pixel_shuffle_scale4_fp32
(
const
float
*
input
,
float
*
output
,
const
int
num
,
const
int
hin
,
const
int
win
,
const
int
chout
,
const
int
hout
,
const
int
wout
);
void
pixel_shuffle_native_fp32
(
const
float
*
input
,
float
*
output
,
const
int
num
,
const
int
hin
,
const
int
win
,
const
int
chout
,
const
int
hout
,
const
int
wout
,
const
int
upscale_factor
);
}
// namespace math
}
// namespace arm
}
// namespace lite
}
// namespace paddle
lite/kernels/arm/pixel_shuffle_compute.cc
浏览文件 @
dfdfa644
...
...
@@ -13,9 +13,7 @@
// limitations under the License.
#include "lite/kernels/arm/pixel_shuffle_compute.h"
#include <string>
#include <vector>
#include "lite/backends/arm/math/funcs.h"
#include "lite/backends/arm/math/pixel_shuffle.h"
#include "lite/core/op_registry.h"
#include "lite/core/tensor.h"
#include "lite/core/type_system.h"
...
...
@@ -30,33 +28,52 @@ void PixelShuffleCompute::Run() {
const
float
*
x_data
=
param
.
x
->
data
<
float
>
();
float
*
output_data
=
param
.
output
->
mutable_data
<
float
>
();
int
upscale_factor
=
param
.
upscale_factor
;
const
int
upscale_factor
=
param
.
upscale_factor
;
int
batch_size
=
param
.
x
->
dims
()[
0
];
int
height
=
param
.
x
->
dims
()[
2
];
int
width
=
param
.
x
->
dims
()[
3
];
int
out_channels
=
param
.
output
->
dims
()[
1
];
int
out_height
=
param
.
output
->
dims
()[
2
];
int
out_width
=
param
.
output
->
dims
()[
3
];
const
int
batch_size
=
param
.
x
->
dims
()[
0
];
const
int
height
=
param
.
x
->
dims
()[
2
];
const
int
width
=
param
.
x
->
dims
()[
3
];
const
int
out_channels
=
param
.
output
->
dims
()[
1
];
const
int
out_height
=
param
.
output
->
dims
()[
2
];
const
int
out_width
=
param
.
output
->
dims
()[
3
];
#pragma omp parallel for
for
(
int
nc
=
0
;
nc
<
batch_size
*
out_channels
;
nc
++
)
{
const
float
*
inptr
=
x_data
+
nc
*
out_height
*
out_width
;
float
*
outptr_nc
=
output_data
+
nc
*
out_height
*
out_width
;
for
(
int
sh
=
0
;
sh
<
upscale_factor
;
sh
++
)
{
for
(
int
sw
=
0
;
sw
<
upscale_factor
;
sw
++
)
{
float
*
outptr
=
outptr_nc
+
sh
*
out_width
+
sw
;
for
(
int
h
=
0
;
h
<
height
;
h
++
)
{
for
(
int
w
=
0
;
w
<
width
;
w
++
)
{
outptr
[
0
]
=
inptr
[
0
];
inptr
++
;
outptr
+=
upscale_factor
;
}
outptr
+=
(
upscale_factor
-
1
)
*
out_width
;
}
}
}
if
(
upscale_factor
==
2
)
{
lite
::
arm
::
math
::
pixel_shuffle_scale2_fp32
(
x_data
,
output_data
,
batch_size
,
height
,
width
,
out_channels
,
out_height
,
out_width
);
}
else
if
(
upscale_factor
==
3
)
{
lite
::
arm
::
math
::
pixel_shuffle_scale3_fp32
(
x_data
,
output_data
,
batch_size
,
height
,
width
,
out_channels
,
out_height
,
out_width
);
}
else
if
(
upscale_factor
==
4
)
{
lite
::
arm
::
math
::
pixel_shuffle_scale4_fp32
(
x_data
,
output_data
,
batch_size
,
height
,
width
,
out_channels
,
out_height
,
out_width
);
}
else
{
lite
::
arm
::
math
::
pixel_shuffle_native_fp32
(
x_data
,
output_data
,
batch_size
,
height
,
width
,
out_channels
,
out_height
,
out_width
,
upscale_factor
);
}
#ifdef LITE_WITH_PROFILE
...
...
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