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体验新版 GitCode,发现更多精彩内容 >>
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5fe68931
编写于
10月 12, 2017
作者:
C
chengduoZH
浏览文件
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电子邮件补丁
差异文件
fix code struce
上级
8ad67da9
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
43 addition
and
30 deletion
+43
-30
python/paddle/v2/framework/tests/test_conv2d_op.py
python/paddle/v2/framework/tests/test_conv2d_op.py
+43
-30
未找到文件。
python/paddle/v2/framework/tests/test_conv2d_op.py
浏览文件 @
5fe68931
...
...
@@ -21,41 +21,37 @@ def conv2d_forward_naive(input, filter, group, conv_param):
for
i
in
range
(
out_h
):
for
j
in
range
(
out_w
):
for
g
in
range
(
group
):
input_pad_masked
=
input_pad
[:,
g
*
f_c
:(
g
+
1
)
*
f_c
,
i
*
stride
[
0
]:
i
*
stride
[
0
]
+
f_h
,
j
*
stride
[
1
]:
j
*
stride
[
1
]
+
f_w
]
input_pad_masked
=
\
input_pad
[:,
g
*
f_c
:(
g
+
1
)
*
f_c
,
i
*
stride
[
0
]:
i
*
stride
[
0
]
+
f_h
,
j
*
stride
[
1
]:
j
*
stride
[
1
]
+
f_w
]
f_sub
=
filter
[
g
*
sub_out_c
:(
g
+
1
)
*
sub_out_c
,
:,
:,
:]
for
k
in
range
(
sub_out_c
):
out
[:,
g
*
sub_out_c
+
k
,
i
,
j
]
=
np
.
sum
(
input_pad_masked
*
f_sub
[
k
,
:,
:,
:],
axis
=
(
1
,
2
,
3
))
out
[:,
g
*
sub_out_c
+
k
,
i
,
j
]
=
\
np
.
sum
(
input_pad_masked
*
f_sub
[
k
,
:,
:,
:],
axis
=
(
1
,
2
,
3
))
return
out
class
TestConv2dOp
(
OpTest
):
def
setUp
(
self
):
self
.
init_groups
()
self
.
init_optype
()
pad
=
[
0
,
0
]
stride
=
[
1
,
1
]
input_size
=
[
2
,
3
,
5
,
5
]
# NCHW
assert
np
.
mod
(
input_size
[
1
],
self
.
groups
)
==
0
f_c
=
input_size
[
1
]
/
self
.
groups
filter_size
=
[
6
,
f_c
,
3
,
3
]
conv2d_param
=
{
'stride'
:
stride
,
'pad'
:
pad
}
input
=
np
.
random
.
random
(
input_size
).
astype
(
"float32"
)
filter
=
np
.
random
.
random
(
filter_size
).
astype
(
"float32"
)
self
.
init_op_type
()
self
.
init_group
()
self
.
init_test_case
()
conv2d_param
=
{
'stride'
:
self
.
stride
,
'pad'
:
self
.
pad
}
input
=
np
.
random
.
random
(
self
.
input_size
).
astype
(
"float32"
)
filter
=
np
.
random
.
random
(
self
.
filter_size
).
astype
(
"float32"
)
output
=
conv2d_forward_naive
(
input
,
filter
,
self
.
groups
,
conv2d_param
)
self
.
inputs
=
{
'Input'
:
input
,
'Filter'
:
filter
}
self
.
attrs
=
{
'strides'
:
stride
,
'paddings'
:
pad
,
'strides'
:
s
elf
.
s
tride
,
'paddings'
:
self
.
pad
,
'groups'
:
self
.
groups
,
'dilations'
:
[
1
,
1
]
'dilations'
:
self
.
dilations
}
self
.
outputs
=
{
'Output'
:
output
}
...
...
@@ -80,30 +76,47 @@ class TestConv2dOp(OpTest):
max_relative_error
=
0.05
,
no_grad_set
=
set
([
'Input'
]))
def
init_groups
(
self
):
def
init_test_case
(
self
):
self
.
groups
=
1
self
.
op_type
=
"conv2d"
self
.
pad
=
[
0
,
0
]
self
.
stride
=
[
1
,
1
]
self
.
dilations
=
[
1
,
1
]
self
.
input_size
=
[
2
,
3
,
5
,
5
]
# NCHW
assert
np
.
mod
(
self
.
input_size
[
1
],
self
.
groups
)
==
0
f_c
=
self
.
input_size
[
1
]
/
self
.
groups
self
.
filter_size
=
[
6
,
f_c
,
3
,
3
]
def
init_group
(
self
):
self
.
groups
=
1
def
init_optype
(
self
):
def
init_op
_
type
(
self
):
self
.
op_type
=
"conv2d"
class
TestWithGroup
(
TestConv2dOp
):
def
init_group
s
(
self
):
def
init_group
(
self
):
self
.
groups
=
3
def
init_op_type
(
self
):
self
.
op_type
=
"conv2d"
class
TestCudnn2d
(
TestConv2dOp
):
def
init_optype
(
self
):
self
.
op_type
=
"conv_cudnn"
class
TestCudnn
(
TestConv2dOp
):
def
init_group
(
self
):
self
.
groups
=
1
class
TestCudnn2dWithGroup
(
TestConv2dOp
):
def
init_optype
(
self
):
def
init_op_type
(
self
):
self
.
op_type
=
"conv_cudnn"
def
init_groups
(
self
):
class
TestCudnnWithGroup
(
TestConv2dOp
):
def
init_group
(
self
):
self
.
groups
=
3
def
init_op_type
(
self
):
self
.
op_type
=
"conv_cudnn"
if
__name__
==
'__main__'
:
unittest
.
main
()
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