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0d29e659
编写于
6月 08, 2018
作者:
Y
yuyang18
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Add resize_bilinear
上级
439a2657
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
30 addition
and
19 deletion
+30
-19
paddle/fluid/operators/bilinear_interp_op.cc
paddle/fluid/operators/bilinear_interp_op.cc
+5
-6
python/paddle/fluid/layers/layer_function_generator.py
python/paddle/fluid/layers/layer_function_generator.py
+10
-5
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+15
-8
未找到文件。
paddle/fluid/operators/bilinear_interp_op.cc
浏览文件 @
0d29e659
...
...
@@ -56,17 +56,16 @@ class BilinearInterpOpMaker : public framework::OpProtoAndCheckerMaker {
public:
void
Make
()
override
{
AddInput
(
"X"
,
"
(Tensor)
The input tensor of bilinear interpolation, "
"The input tensor of bilinear interpolation, "
"This is a 4-D tensor with shape of (N x C x h x w)"
);
AddInput
(
"OutSize"
,
"
(Tensor)
This is a 1-D tensor with two number. "
"This is a 1-D tensor with two number. "
"The first number is height and the second number is width."
)
.
AsDispensable
();
AddOutput
(
"Out"
,
"(Tensor) The dimension of output is (N x C x out_h x out_w]"
);
AddOutput
(
"Out"
,
"The dimension of output is (N x C x out_h x out_w)"
);
AddAttr
<
int
>
(
"out_h"
,
"
(int)
output height of bilinear interpolation op."
);
AddAttr
<
int
>
(
"out_w"
,
"
(int)
output width of bilinear interpolation op."
);
AddAttr
<
int
>
(
"out_h"
,
"output height of bilinear interpolation op."
);
AddAttr
<
int
>
(
"out_w"
,
"output width of bilinear interpolation op."
);
AddComment
(
R"DOC(
Bilinear interpolation is an extension of linear interpolation for
interpolating functions of two variables (e.g. H-direction and
...
...
python/paddle/fluid/layers/layer_function_generator.py
浏览文件 @
0d29e659
...
...
@@ -224,7 +224,7 @@ def autodoc(comment=""):
return
__impl__
def
templatedoc
():
def
templatedoc
(
op_type
=
None
):
"""
Decorator of layer function. It will use the docstring from the layer
function as the template. The template arguments are:
...
...
@@ -242,15 +242,20 @@ def templatedoc():
return
msg
.
rstrip
(
'.'
)
def
__impl__
(
func
):
op_proto
=
OpProtoHolder
.
instance
().
get_op_proto
(
func
.
__name__
)
if
op_type
is
None
:
op_type_name
=
func
.
__name__
else
:
op_type_name
=
op_type
op_proto
=
OpProtoHolder
.
instance
().
get_op_proto
(
op_type_name
)
tmpl
=
string
.
Template
(
func
.
__doc__
)
comment_lines
=
op_proto
.
comment
.
split
(
"
\n
"
)
comment
=
""
for
line
in
comment_lines
:
line
=
line
.
lstrip
()
comment
+=
line
comment
+=
"
\n
"
line
=
line
.
strip
()
if
len
(
line
)
!=
0
:
comment
+=
line
comment
+=
" "
args
=
{
"comment"
:
trim_ending_dot
(
comment
)}
for
each_input
in
op_proto
.
inputs
:
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
0d29e659
...
...
@@ -4037,18 +4037,25 @@ def image_resize(input,
return
out
@
templatedoc
(
op_type
=
"bilinear_interp"
)
def
resize_bilinear
(
input
,
out_shape
=
None
,
scale
=
None
,
name
=
None
):
"""
This is an alias of layer 'image_resize' with bilinear interpolation.
${comment}
Args:
input(${x_type}): ${x_comment}.
out_shape(${out_size_type}): ${out_size_comment}.
The mathematical meaning of resize bilinear layer is
Bilinear interpolation.
Bilinear interpolation is an extension of linear interpolation for
interpolating functions of two variables (e.g. H-direction and
W-direction in this layer) on a rectilinear 2D grid.
scale(float|None): The multiplier for the input height or width. At
least one of out_shape or scale must be set. And out_shape has
a higher priority than scale. Default: None.
name(str|None): The output variable name.
Returns:
For details, please refer to Wikipedia:
https://en.wikipedia.org/wiki/Bilinear_interpolation
${out_comment}.
"""
return
image_resize
(
input
,
out_shape
,
scale
,
name
,
'BILINEAR'
)
...
...
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