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体验新版 GitCode,发现更多精彩内容 >>
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8ef1bf87
编写于
8月 17, 2021
作者:
S
shangliang Xu
提交者:
GitHub
8月 17, 2021
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差异文件
[bug fix] fix unfold negative_size_param (#34943)
* [bug fix] fix unfold negative_size_param
上级
9d4f00bc
变更
2
隐藏空白更改
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Showing
2 changed file
with
43 addition
and
0 deletion
+43
-0
paddle/fluid/operators/unfold_op.cc
paddle/fluid/operators/unfold_op.cc
+19
-0
python/paddle/fluid/tests/unittests/test_layers.py
python/paddle/fluid/tests/unittests/test_layers.py
+24
-0
未找到文件。
paddle/fluid/operators/unfold_op.cc
浏览文件 @
8ef1bf87
...
...
@@ -154,6 +154,25 @@ class UnfoldOp : public framework::OperatorWithKernel {
paddings
[
2
],
strides
[
0
]);
int
output_width
=
CalcOutputSize
(
in_dims
[
3
],
kernel_sizes
[
1
],
dilations
[
1
],
paddings
[
1
],
paddings
[
3
],
strides
[
1
]);
// check output height and width
PADDLE_ENFORCE_GT
(
output_height
,
0
,
platform
::
errors
::
InvalidArgument
(
"The sliding blocks calculated from input spatial size (%d, %d), "
"kernel_sizes (%d, %d), strides (%d, %d), dilations (%d, %d), "
"is (%d, %d), which should be a positive integer."
,
in_dims
[
2
],
in_dims
[
3
],
kernel_sizes
[
0
],
kernel_sizes
[
1
],
strides
[
0
],
strides
[
1
],
dilations
[
0
],
dilations
[
1
],
output_height
,
output_width
));
PADDLE_ENFORCE_GT
(
output_width
,
0
,
platform
::
errors
::
InvalidArgument
(
"The sliding blocks calculated from input spatial size (%d, %d), "
"kernel_sizes (%d, %d), strides (%d, %d), dilations (%d, %d), "
"is (%d, %d), which should be a positive integer."
,
in_dims
[
2
],
in_dims
[
3
],
kernel_sizes
[
0
],
kernel_sizes
[
1
],
strides
[
0
],
strides
[
1
],
dilations
[
0
],
dilations
[
1
],
output_height
,
output_width
));
int
output_col_length
=
output_height
*
output_width
;
out_dims
.
push_back
(
output_col_length
);
...
...
python/paddle/fluid/tests/unittests/test_layers.py
浏览文件 @
8ef1bf87
...
...
@@ -3320,6 +3320,30 @@ class TestBook(LayerTest):
dy_res_value
=
dy_res
.
numpy
()
self
.
assertTrue
(
np
.
array_equal
(
static_res
,
dy_res_value
))
def
test_dice_loss
(
self
):
num_classes
=
4
eps
=
1e-6
input_np
=
np
.
random
.
rand
(
2
,
3
,
num_classes
).
astype
(
'float32'
)
label_np
=
np
.
random
.
randint
(
0
,
num_classes
,
[
2
,
3
,
1
],
dtype
=
np
.
int64
)
with
self
.
static_graph
():
input_
=
layers
.
data
(
name
=
"input"
,
shape
=
[
None
,
3
,
num_classes
],
dtype
=
"float32"
)
label_
=
layers
.
data
(
name
=
"label"
,
shape
=
[
None
,
3
,
1
],
dtype
=
"int64"
)
output
=
layers
.
dice_loss
(
input_
,
label_
,
eps
)
static_res
=
self
.
get_static_graph_result
(
feed
=
{
'input'
:
input_np
,
'label'
:
label_np
},
fetch_list
=
[
output
])[
0
]
with
self
.
dynamic_graph
():
input_
=
base
.
to_variable
(
input_np
)
label_
=
base
.
to_variable
(
label_np
)
dy_res
=
layers
.
dice_loss
(
input_
,
label_
,
eps
)
dy_res_value
=
dy_res
.
numpy
()
self
.
assertTrue
(
np
.
array_equal
(
static_res
,
dy_res_value
))
def
test_roi_perspective_transform
(
self
):
# TODO(minqiyang): dygraph do not support lod now
with
self
.
static_graph
():
...
...
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