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1443d762
编写于
8月 19, 2018
作者:
Y
Yibing Liu
浏览文件
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电子邮件补丁
差异文件
Wrap unsqueeze & squeeze ops
上级
dbd78966
变更
2
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2 changed file
with
99 addition
and
0 deletion
+99
-0
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+82
-0
python/paddle/fluid/tests/unittests/test_layers.py
python/paddle/fluid/tests/unittests/test_layers.py
+17
-0
未找到文件。
python/paddle/fluid/layers/nn.py
浏览文件 @
1443d762
...
...
@@ -84,6 +84,8 @@ __all__ = [
'one_hot'
,
'autoincreased_step_counter'
,
'reshape'
,
'squeeze'
,
'unsqueeze'
,
'lod_reset'
,
'lrn'
,
'pad'
,
...
...
@@ -4483,6 +4485,86 @@ def reshape(x, shape, actual_shape=None, act=None, inplace=True, name=None):
return
helper
.
append_activation
(
out
)
def
squeeze
(
x
,
axes
,
inplace
=
False
,
name
=
None
):
"""
Remove single-dimensional entries from the shape of a tensor. Takes a
parameter axes with a list of axes to squeeze. If axes is not provided, all
the single dimensions will be removed from the shape. If an axis is
selected with shape entry not equal to one, an error is raised.
Examples:
Case 1:
Given
X.shape = (1, 3, 1, 5)
and
axes = [0]
we get:
Out.shape = (3, 1, 5)
Case 2:
Given
X.shape = (1, 3, 1, 5)
and
axes = []
we get:
Out.shape = (3, 5)
Args:
x (Variable): The input variable to be squeezed.
axes (list): List of integers, indicating the dimensions to be squeezed.
name (str): Name for this layers.
Returns:
Variable: Output squeezed variable.
Examples:
.. code-block:: python
x = layers.data(name='x', shape=[5, 1, 10])
y = layers.sequeeze(x, axes=[1])
"""
helper
=
LayerHelper
(
"squeeze"
,
**
locals
())
out
=
helper
.
create_tmp_variable
(
dtype
=
x
.
dtype
)
helper
.
append_op
(
type
=
"squeeze"
,
inputs
=
{
"X"
:
x
},
attrs
=
{
"axes"
:
axes
},
outputs
=
{
"Out"
:
out
})
return
out
def
unsqueeze
(
x
,
axes
,
inplace
=
False
,
name
=
None
):
"""
Insert single-dimensional entries to the shape of a tensor. Takes one
required argument axes, a list of dimensions that will be inserted.
Dimension indices in axes are as seen in the output tensor.
For example:
Given a tensor such that tensor with shape [3, 4, 5],
then Unsqueezed tensor with axes=[0, 4] has shape [1, 3, 4, 5, 1].
Args:
x (Variable): The input variable to be unsqueezed.
axes (list): List of integers, indicating the dimensions to be inserted.
name (str): Name for this layers.
Returns:
Variable: Output unsqueezed variable.
Examples:
.. code-block:: python
x = layers.data(name='x', shape=[5, 10])
y = layers.unsequeeze(x, axes=[1])
"""
helper
=
LayerHelper
(
"unsqueeze"
,
**
locals
())
out
=
helper
.
create_tmp_variable
(
dtype
=
x
.
dtype
)
helper
.
append_op
(
type
=
"unsqueeze"
,
inputs
=
{
"X"
:
x
},
attrs
=
{
"axes"
:
axes
},
outputs
=
{
"Out"
:
out
})
return
out
def
lod_reset
(
x
,
y
=
None
,
target_lod
=
None
):
"""
...
...
python/paddle/fluid/tests/unittests/test_layers.py
浏览文件 @
1443d762
...
...
@@ -240,6 +240,22 @@ class TestBook(unittest.TestCase):
self
.
assertIsNotNone
(
layers
.
softmax
(
hid
))
print
(
str
(
program
))
def
test_sequence_unsqueeze
(
self
):
program
=
Program
()
with
program_guard
(
program
):
x
=
layers
.
data
(
name
=
'x'
,
shape
=
[
8
,
2
],
dtype
=
'float32'
)
out
=
layers
.
unsqueeze
(
x
=
x
,
axes
=
[
1
])
self
.
assertIsNotNone
(
out
)
print
(
str
(
program
))
def
test_squeeze
(
self
):
program
=
Program
()
with
program_guard
(
program
):
x
=
layers
.
data
(
name
=
'x'
,
shape
=
[
1
,
1
,
4
],
dtype
=
'float32'
)
out
=
layers
.
squeeze
(
x
=
x
,
axes
=
[
0
])
self
.
assertIsNotNone
(
out
)
print
(
str
(
program
))
def
test_lrn
(
self
):
program
=
Program
()
with
program_guard
(
program
):
...
...
@@ -262,6 +278,7 @@ class TestBook(unittest.TestCase):
self
.
assertIsNotNone
(
out
)
print
(
str
(
program
))
def
test_im2sequence
(
self
):
program
=
Program
()
with
program_guard
(
program
):
...
...
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