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体验新版 GitCode,发现更多精彩内容 >>
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78f56391
编写于
11月 26, 2018
作者:
D
dengkaipeng
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
revert interpolate_op to bilinear_interp_op & nearest_interp_op. test=develop
上级
05b7ee7e
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
242 addition
and
163 deletion
+242
-163
paddle/fluid/operators/interpolate_op.cc
paddle/fluid/operators/interpolate_op.cc
+12
-4
paddle/fluid/operators/interpolate_op.cu
paddle/fluid/operators/interpolate_op.cu
+8
-2
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+8
-9
python/paddle/fluid/tests/unittests/test_bilinear_interp_op.py
...n/paddle/fluid/tests/unittests/test_bilinear_interp_op.py
+17
-148
python/paddle/fluid/tests/unittests/test_nearest_interp_op.py
...on/paddle/fluid/tests/unittests/test_nearest_interp_op.py
+197
-0
未找到文件。
paddle/fluid/operators/interpolate_op.cc
浏览文件 @
78f56391
...
...
@@ -132,11 +132,19 @@ class InterpolateOpGrad : public framework::OperatorWithKernel {
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OPERATOR
(
interpolate
,
ops
::
InterpolateOp
,
ops
::
InterpolateOpMaker
,
REGISTER_OPERATOR
(
bilinear_interp
,
ops
::
InterpolateOp
,
ops
::
InterpolateOpMaker
,
paddle
::
framework
::
DefaultGradOpDescMaker
<
true
>
);
REGISTER_OPERATOR
(
interpolate_grad
,
ops
::
InterpolateOpGrad
);
REGISTER_OP_CPU_KERNEL
(
interpolate
,
ops
::
InterpolateKernel
<
float
>
,
REGISTER_OPERATOR
(
bilinear_interp_grad
,
ops
::
InterpolateOpGrad
);
REGISTER_OPERATOR
(
nearest_interp
,
ops
::
InterpolateOp
,
ops
::
InterpolateOpMaker
,
paddle
::
framework
::
DefaultGradOpDescMaker
<
true
>
);
REGISTER_OPERATOR
(
nearest_interp_grad
,
ops
::
InterpolateOpGrad
);
REGISTER_OP_CPU_KERNEL
(
bilinear_interp
,
ops
::
InterpolateKernel
<
float
>
,
ops
::
InterpolateKernel
<
double
>
,
ops
::
InterpolateKernel
<
uint8_t
>
);
REGISTER_OP_CPU_KERNEL
(
bilinear_interp_grad
,
ops
::
InterpolateGradKernel
<
float
>
,
ops
::
InterpolateGradKernel
<
double
>
);
REGISTER_OP_CPU_KERNEL
(
nearest_interp
,
ops
::
InterpolateKernel
<
float
>
,
ops
::
InterpolateKernel
<
double
>
,
ops
::
InterpolateKernel
<
uint8_t
>
);
REGISTER_OP_CPU_KERNEL
(
interpolate
_grad
,
ops
::
InterpolateGradKernel
<
float
>
,
REGISTER_OP_CPU_KERNEL
(
nearest_interp
_grad
,
ops
::
InterpolateGradKernel
<
float
>
,
ops
::
InterpolateGradKernel
<
double
>
);
paddle/fluid/operators/interpolate_op.cu
浏览文件 @
78f56391
...
...
@@ -284,9 +284,15 @@ class InterpolateGradOpCUDAKernel : public framework::OpKernel<T> {
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_CUDA_KERNEL
(
interpolate
,
ops
::
InterpolateOpCUDAKernel
<
float
>
,
REGISTER_OP_CUDA_KERNEL
(
bilinear_interp
,
ops
::
InterpolateOpCUDAKernel
<
float
>
,
ops
::
InterpolateOpCUDAKernel
<
double
>
,
ops
::
InterpolateOpCUDAKernel
<
int
>
);
REGISTER_OP_CUDA_KERNEL
(
interpolate_grad
,
REGISTER_OP_CUDA_KERNEL
(
bilinear_interp_grad
,
ops
::
InterpolateGradOpCUDAKernel
<
float
>
,
ops
::
InterpolateGradOpCUDAKernel
<
double
>
);
REGISTER_OP_CUDA_KERNEL
(
nearest_interp
,
ops
::
InterpolateOpCUDAKernel
<
float
>
,
ops
::
InterpolateOpCUDAKernel
<
double
>
,
ops
::
InterpolateOpCUDAKernel
<
int
>
);
REGISTER_OP_CUDA_KERNEL
(
nearest_interp_grad
,
ops
::
InterpolateGradOpCUDAKernel
<
float
>
,
ops
::
InterpolateGradOpCUDAKernel
<
double
>
);
python/paddle/fluid/layers/nn.py
浏览文件 @
78f56391
...
...
@@ -5870,9 +5870,10 @@ def image_resize(input,
raise
ValueError
(
"The 'resample' of image_resize can only be 'BILINEAR' or 'NEAREST' currently."
)
resample_type
=
resample_methods
[
resample
]
if
out_shape
is
None
and
scale
is
None
:
raise
ValueError
(
"One of out_shape and scale must not be None."
)
helper
=
LayerHelper
(
'
interpolate'
,
**
locals
())
helper
=
LayerHelper
(
'
{}_interp'
.
format
(
resample_type
)
,
**
locals
())
dtype
=
helper
.
input_dtype
()
def
_is_list_or_turple_
(
data
):
...
...
@@ -5906,18 +5907,16 @@ def image_resize(input,
out
=
helper
.
create_variable_for_type_inference
(
dtype
)
helper
.
append_op
(
type
=
'
interpolate'
,
type
=
'
{}_interp'
.
format
(
resample_type
)
,
inputs
=
inputs
,
outputs
=
{
"Out"
:
out
},
attrs
=
{
"out_h"
:
out_h
,
"out_w"
:
out_w
,
"interp_method"
:
resample_methods
[
resample
]
})
attrs
=
{
"out_h"
:
out_h
,
"out_w"
:
out_w
,
"interp_method"
:
resample_type
})
return
out
@
templatedoc
(
op_type
=
"
interpolate
"
)
@
templatedoc
(
op_type
=
"
bilinear_interp
"
)
def
resize_bilinear
(
input
,
out_shape
=
None
,
scale
=
None
,
...
...
@@ -5973,7 +5972,7 @@ def resize_bilinear(input,
return
image_resize
(
input
,
out_shape
,
scale
,
name
,
'BILINEAR'
,
actual_shape
)
@
templatedoc
(
op_type
=
"
interpolate
"
)
@
templatedoc
(
op_type
=
"
nearest_interp
"
)
def
resize_nearest
(
input
,
out_shape
=
None
,
scale
=
None
,
...
...
python/paddle/fluid/tests/unittests/test_
interpolate
_op.py
→
python/paddle/fluid/tests/unittests/test_
bilinear_interp
_op.py
浏览文件 @
78f56391
...
...
@@ -20,36 +20,6 @@ from op_test import OpTest
import
paddle.fluid.core
as
core
def
nearest_neighbor_interp_np
(
X
,
out_h
,
out_w
,
out_size
=
None
,
actual_shape
=
None
):
"""nearest neighbor interpolation implement in shape [N, C, H, W]"""
if
out_size
is
not
None
:
out_h
=
out_size
[
0
]
out_w
=
out_size
[
1
]
if
actual_shape
is
not
None
:
out_h
=
actual_shape
[
0
]
out_w
=
actual_shape
[
1
]
n
,
c
,
in_h
,
in_w
=
X
.
shape
ratio_h
=
ratio_w
=
0.0
if
out_h
>
1
:
ratio_h
=
(
in_h
-
1.0
)
/
(
out_h
-
1.0
)
if
out_w
>
1
:
ratio_w
=
(
in_w
-
1.0
)
/
(
out_w
-
1.0
)
out
=
np
.
zeros
((
n
,
c
,
out_h
,
out_w
))
for
i
in
range
(
out_h
):
in_i
=
int
(
ratio_h
*
i
+
0.5
)
for
j
in
range
(
out_w
):
in_j
=
int
(
ratio_w
*
j
+
0.5
)
out
[:,
:,
i
,
j
]
=
X
[:,
:,
in_i
,
in_j
]
return
out
.
astype
(
X
.
dtype
)
def
bilinear_interp_np
(
input
,
out_h
,
out_w
,
out_size
=
None
,
actual_shape
=
None
):
"""bilinear interpolation implement in shape [N, C, H, W]"""
if
out_size
is
not
None
:
...
...
@@ -87,22 +57,16 @@ def bilinear_interp_np(input, out_h, out_w, out_size=None, actual_shape=None):
return
out
.
astype
(
input
.
dtype
)
INTERPOLATE_FUNCS
=
{
'bilinear'
:
bilinear_interp_np
,
'nearest'
:
nearest_neighbor_interp_np
,
}
class
TestInterpolateOp
(
OpTest
):
class
TestBilinearInterpOp
(
OpTest
):
def
setUp
(
self
):
self
.
out_size
=
None
self
.
actual_shape
=
None
self
.
init_test_case
()
self
.
op_type
=
"
interpolate
"
self
.
op_type
=
"
bilinear_interp
"
input_np
=
np
.
random
.
random
(
self
.
input_shape
).
astype
(
"float32"
)
output_np
=
INTERPOLATE_FUNCS
[
self
.
interp_method
](
input_np
,
self
.
out_h
,
self
.
out_w
,
self
.
out_size
,
self
.
actual_shape
)
output_np
=
bilinear_interp_np
(
input_np
,
self
.
out_h
,
self
.
out_w
,
self
.
out_size
,
self
.
actual_shape
)
self
.
inputs
=
{
'X'
:
input_np
}
if
self
.
out_size
is
not
None
:
self
.
inputs
[
'OutSize'
]
=
self
.
out_size
...
...
@@ -129,7 +93,7 @@ class TestInterpolateOp(OpTest):
self
.
out_size
=
np
.
array
([
3
,
3
]).
astype
(
"int32"
)
class
TestBilinearInterpCase1
(
Test
Interpolate
Op
):
class
TestBilinearInterpCase1
(
Test
BilinearInterp
Op
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
4
,
1
,
7
,
8
]
...
...
@@ -137,7 +101,7 @@ class TestBilinearInterpCase1(TestInterpolateOp):
self
.
out_w
=
1
class
TestBilinearInterpCase2
(
Test
Interpolate
Op
):
class
TestBilinearInterpCase2
(
Test
BilinearInterp
Op
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
3
,
3
,
9
,
6
]
...
...
@@ -145,7 +109,7 @@ class TestBilinearInterpCase2(TestInterpolateOp):
self
.
out_w
=
12
class
TestBilinearInterpCase3
(
Test
Interpolate
Op
):
class
TestBilinearInterpCase3
(
Test
BilinearInterp
Op
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
1
,
1
,
128
,
64
]
...
...
@@ -153,7 +117,7 @@ class TestBilinearInterpCase3(TestInterpolateOp):
self
.
out_w
=
128
class
TestBilinearInterpCase4
(
Test
Interpolate
Op
):
class
TestBilinearInterpCase4
(
Test
BilinearInterp
Op
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
4
,
1
,
7
,
8
]
...
...
@@ -162,7 +126,7 @@ class TestBilinearInterpCase4(TestInterpolateOp):
self
.
out_size
=
np
.
array
([
2
,
2
]).
astype
(
"int32"
)
class
TestBilinearInterpCase5
(
Test
Interpolate
Op
):
class
TestBilinearInterpCase5
(
Test
BilinearInterp
Op
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
3
,
3
,
9
,
6
]
...
...
@@ -171,7 +135,7 @@ class TestBilinearInterpCase5(TestInterpolateOp):
self
.
out_size
=
np
.
array
([
11
,
11
]).
astype
(
"int32"
)
class
TestBilinearInterpCase6
(
Test
Interpolate
Op
):
class
TestBilinearInterpCase6
(
Test
BilinearInterp
Op
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
1
,
1
,
128
,
64
]
...
...
@@ -180,7 +144,7 @@ class TestBilinearInterpCase6(TestInterpolateOp):
self
.
out_size
=
np
.
array
([
65
,
129
]).
astype
(
"int32"
)
class
TestBilinearInterpActualShape
(
Test
Interpolate
Op
):
class
TestBilinearInterpActualShape
(
Test
BilinearInterp
Op
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
3
,
2
,
32
,
16
]
...
...
@@ -189,25 +153,16 @@ class TestBilinearInterpActualShape(TestInterpolateOp):
self
.
out_size
=
np
.
array
([
66
,
40
]).
astype
(
"int32"
)
class
TestBilinearInterpBigScale
(
TestInterpolateOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
4
,
4
,
64
,
32
]
self
.
out_h
=
100
self
.
out_w
=
50
self
.
out_size
=
np
.
array
([
101
,
51
]).
astype
(
'int32'
)
class
TestInterpolateOpUint8
(
OpTest
):
class
TestBilinearInterpOpUint8
(
OpTest
):
def
setUp
(
self
):
self
.
out_size
=
None
self
.
actual_shape
=
None
self
.
init_test_case
()
self
.
op_type
=
"
interpolate
"
self
.
op_type
=
"
bilinear_interp
"
input_np
=
np
.
random
.
randint
(
low
=
0
,
high
=
256
,
size
=
self
.
input_shape
).
astype
(
"uint8"
)
output_np
=
INTERPOLATE_FUNCS
[
self
.
interp_method
](
input_np
,
self
.
out_h
,
self
.
out_w
,
self
.
out_size
,
self
.
actual_shape
)
output_np
=
bilinear_interp_np
(
input_np
,
self
.
out_h
,
self
.
out_w
,
self
.
out_size
,
self
.
actual_shape
)
self
.
inputs
=
{
'X'
:
input_np
}
if
self
.
out_size
is
not
None
:
self
.
inputs
[
'OutSize'
]
=
self
.
out_size
...
...
@@ -228,7 +183,7 @@ class TestInterpolateOpUint8(OpTest):
self
.
out_w
=
9
class
TestBilinearInterpCase1Uint8
(
Test
Interpolate
OpUint8
):
class
TestBilinearInterpCase1Uint8
(
Test
BilinearInterp
OpUint8
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
2
,
3
,
128
,
64
]
...
...
@@ -236,7 +191,7 @@ class TestBilinearInterpCase1Uint8(TestInterpolateOpUint8):
self
.
out_w
=
50
class
TestBilinearInterpCase2Uint8
(
Test
Interpolate
OpUint8
):
class
TestBilinearInterpCase2Uint8
(
Test
BilinearInterp
OpUint8
):
def
init_test_case
(
self
):
self
.
interp_method
=
'bilinear'
self
.
input_shape
=
[
4
,
1
,
7
,
8
]
...
...
@@ -245,91 +200,5 @@ class TestBilinearInterpCase2Uint8(TestInterpolateOpUint8):
self
.
out_size
=
np
.
array
([
6
,
15
]).
astype
(
"int32"
)
class
TestNearestNeighborInterpCase1
(
TestInterpolateOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
4
,
1
,
7
,
8
]
self
.
out_h
=
1
self
.
out_w
=
1
class
TestNearestNeighborInterpCase2
(
TestInterpolateOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
3
,
3
,
9
,
6
]
self
.
out_h
=
12
self
.
out_w
=
12
class
TestNearestNeighborInterpCase3
(
TestInterpolateOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
1
,
1
,
128
,
64
]
self
.
out_h
=
64
self
.
out_w
=
128
class
TestNearestNeighborInterpCase4
(
TestInterpolateOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
4
,
1
,
7
,
8
]
self
.
out_h
=
1
self
.
out_w
=
1
self
.
out_size
=
np
.
array
([
2
,
2
]).
astype
(
"int32"
)
class
TestNearestNeighborInterpCase5
(
TestInterpolateOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
3
,
3
,
9
,
6
]
self
.
out_h
=
12
self
.
out_w
=
12
self
.
out_size
=
np
.
array
([
11
,
11
]).
astype
(
"int32"
)
class
TestNearestNeighborInterpCase6
(
TestInterpolateOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
1
,
1
,
128
,
64
]
self
.
out_h
=
64
self
.
out_w
=
128
self
.
out_size
=
np
.
array
([
65
,
129
]).
astype
(
"int32"
)
class
TestNearestNeighborInterpActualShape
(
TestInterpolateOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
3
,
2
,
32
,
16
]
self
.
out_h
=
64
self
.
out_w
=
32
self
.
out_size
=
np
.
array
([
66
,
40
]).
astype
(
"int32"
)
class
TestNearestNeighborInterpBigScale
(
TestInterpolateOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
4
,
4
,
64
,
32
]
self
.
out_h
=
100
self
.
out_w
=
50
self
.
out_size
=
np
.
array
([
101
,
51
]).
astype
(
'int32'
)
class
TestNearestNeighborInterpCase1Uint8
(
TestInterpolateOpUint8
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
2
,
3
,
128
,
64
]
self
.
out_h
=
120
self
.
out_w
=
50
class
TestNearestNeighborInterpCase2Uint8
(
TestInterpolateOpUint8
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
4
,
1
,
7
,
8
]
self
.
out_h
=
5
self
.
out_w
=
13
self
.
out_size
=
np
.
array
([
6
,
15
]).
astype
(
"int32"
)
if
__name__
==
"__main__"
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/test_nearest_interp_op.py
0 → 100644
浏览文件 @
78f56391
# Copyright (c) 2018 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.
from
__future__
import
print_function
import
unittest
import
numpy
as
np
from
op_test
import
OpTest
import
paddle.fluid.core
as
core
def
nearest_neighbor_interp_np
(
X
,
out_h
,
out_w
,
out_size
=
None
,
actual_shape
=
None
):
"""nearest neighbor interpolation implement in shape [N, C, H, W]"""
if
out_size
is
not
None
:
out_h
=
out_size
[
0
]
out_w
=
out_size
[
1
]
if
actual_shape
is
not
None
:
out_h
=
actual_shape
[
0
]
out_w
=
actual_shape
[
1
]
n
,
c
,
in_h
,
in_w
=
X
.
shape
ratio_h
=
ratio_w
=
0.0
if
out_h
>
1
:
ratio_h
=
(
in_h
-
1.0
)
/
(
out_h
-
1.0
)
if
out_w
>
1
:
ratio_w
=
(
in_w
-
1.0
)
/
(
out_w
-
1.0
)
out
=
np
.
zeros
((
n
,
c
,
out_h
,
out_w
))
for
i
in
range
(
out_h
):
in_i
=
int
(
ratio_h
*
i
+
0.5
)
for
j
in
range
(
out_w
):
in_j
=
int
(
ratio_w
*
j
+
0.5
)
out
[:,
:,
i
,
j
]
=
X
[:,
:,
in_i
,
in_j
]
return
out
.
astype
(
X
.
dtype
)
class
TestNearestInterpOp
(
OpTest
):
def
setUp
(
self
):
self
.
out_size
=
None
self
.
actual_shape
=
None
self
.
init_test_case
()
self
.
op_type
=
"nearest_interp"
input_np
=
np
.
random
.
random
(
self
.
input_shape
).
astype
(
"float32"
)
output_np
=
nearest_neighbor_interp_np
(
input_np
,
self
.
out_h
,
self
.
out_w
,
self
.
out_size
,
self
.
actual_shape
)
self
.
inputs
=
{
'X'
:
input_np
}
if
self
.
out_size
is
not
None
:
self
.
inputs
[
'OutSize'
]
=
self
.
out_size
if
self
.
actual_shape
is
not
None
:
self
.
inputs
[
'OutSize'
]
=
self
.
actual_shape
self
.
attrs
=
{
'out_h'
:
self
.
out_h
,
'out_w'
:
self
.
out_w
,
'interp_method'
:
self
.
interp_method
}
self
.
outputs
=
{
'Out'
:
output_np
}
def
test_check_output
(
self
):
self
.
check_output
()
def
test_check_grad
(
self
):
self
.
check_grad
([
'X'
],
'Out'
,
in_place
=
True
)
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
2
,
3
,
4
,
4
]
self
.
out_h
=
2
self
.
out_w
=
2
self
.
out_size
=
np
.
array
([
3
,
3
]).
astype
(
"int32"
)
class
TestNearestNeighborInterpCase1
(
TestNearestInterpOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
4
,
1
,
7
,
8
]
self
.
out_h
=
1
self
.
out_w
=
1
class
TestNearestNeighborInterpCase2
(
TestNearestInterpOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
3
,
3
,
9
,
6
]
self
.
out_h
=
12
self
.
out_w
=
12
class
TestNearestNeighborInterpCase3
(
TestNearestInterpOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
1
,
1
,
128
,
64
]
self
.
out_h
=
64
self
.
out_w
=
128
class
TestNearestNeighborInterpCase4
(
TestNearestInterpOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
4
,
1
,
7
,
8
]
self
.
out_h
=
1
self
.
out_w
=
1
self
.
out_size
=
np
.
array
([
2
,
2
]).
astype
(
"int32"
)
class
TestNearestNeighborInterpCase5
(
TestNearestInterpOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
3
,
3
,
9
,
6
]
self
.
out_h
=
12
self
.
out_w
=
12
self
.
out_size
=
np
.
array
([
11
,
11
]).
astype
(
"int32"
)
class
TestNearestNeighborInterpCase6
(
TestNearestInterpOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
1
,
1
,
128
,
64
]
self
.
out_h
=
64
self
.
out_w
=
128
self
.
out_size
=
np
.
array
([
65
,
129
]).
astype
(
"int32"
)
class
TestNearestNeighborInterpActualShape
(
TestNearestInterpOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
3
,
2
,
32
,
16
]
self
.
out_h
=
64
self
.
out_w
=
32
self
.
out_size
=
np
.
array
([
66
,
40
]).
astype
(
"int32"
)
class
TestNearestInterpOpUint8
(
OpTest
):
def
setUp
(
self
):
self
.
out_size
=
None
self
.
actual_shape
=
None
self
.
init_test_case
()
self
.
op_type
=
"nearest_interp"
input_np
=
np
.
random
.
randint
(
low
=
0
,
high
=
256
,
size
=
self
.
input_shape
).
astype
(
"uint8"
)
output_np
=
nearest_neighbor_interp_np
(
input_np
,
self
.
out_h
,
self
.
out_w
,
self
.
out_size
,
self
.
actual_shape
)
self
.
inputs
=
{
'X'
:
input_np
}
if
self
.
out_size
is
not
None
:
self
.
inputs
[
'OutSize'
]
=
self
.
out_size
self
.
attrs
=
{
'out_h'
:
self
.
out_h
,
'out_w'
:
self
.
out_w
,
'interp_method'
:
self
.
interp_method
}
self
.
outputs
=
{
'Out'
:
output_np
}
def
test_check_output
(
self
):
self
.
check_output_with_place
(
place
=
core
.
CPUPlace
(),
atol
=
1
)
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
1
,
3
,
9
,
6
]
self
.
out_h
=
10
self
.
out_w
=
9
class
TestNearestNeighborInterpCase1Uint8
(
TestNearestInterpOpUint8
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
2
,
3
,
128
,
64
]
self
.
out_h
=
120
self
.
out_w
=
50
class
TestNearestNeighborInterpCase2Uint8
(
TestNearestInterpOpUint8
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
self
.
input_shape
=
[
4
,
1
,
7
,
8
]
self
.
out_h
=
5
self
.
out_w
=
13
self
.
out_size
=
np
.
array
([
6
,
15
]).
astype
(
"int32"
)
if
__name__
==
"__main__"
:
unittest
.
main
()
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