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体验新版 GitCode,发现更多精彩内容 >>
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3545d3a6
编写于
12月 14, 2017
作者:
Y
yangyaming
浏览文件
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差异文件
Expose seq_expand op.
上级
fd12776c
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
81 addition
and
1 deletion
+81
-1
doc/api/v2/fluid/layers.rst
doc/api/v2/fluid/layers.rst
+4
-0
python/paddle/v2/fluid/layers.py
python/paddle/v2/fluid/layers.py
+68
-1
python/paddle/v2/fluid/tests/test_layers.py
python/paddle/v2/fluid/tests/test_layers.py
+9
-0
未找到文件。
doc/api/v2/fluid/layers.rst
浏览文件 @
3545d3a6
...
...
@@ -300,3 +300,7 @@ conv2d_transpose
.. autofunction:: paddle.v2.fluid.layers.conv2d_transpose
:noindex:
seq_expand
---------
.. autofunction:: paddle.v2.fluid.layers.seq_expand
:noindex:
python/paddle/v2/fluid/layers.py
浏览文件 @
3545d3a6
...
...
@@ -11,7 +11,7 @@ from param_attr import ParamAttr
__all__
=
[
'fc'
,
'data'
,
'cross_entropy'
,
'conv2d'
,
'pool2d'
,
'embedding'
,
'concat'
,
'StaticRNN'
,
'cast'
,
'sequence_conv'
,
'sequence_pool'
,
'sums'
,
'cos_sim'
,
'batch_norm'
,
'accuracy'
,
'split_lod_tensor'
,
'While'
'batch_norm'
,
'accuracy'
,
'split_lod_tensor'
,
'While'
,
'seq_expand'
]
_REGISTER_LAYER_FROM_OPS
=
[
...
...
@@ -2023,3 +2023,70 @@ class DynamicRNN(object):
if
self
.
status
!=
DynamicRNN
.
IN_RNN
:
raise
ValueError
(
"{0} can only be invoked inside rnn block."
.
format
(
method
))
def
seq_expand
(
x
,
y
,
main_program
=
None
,
startup_program
=
None
):
"""Sequence Expand Layer. This layer will expand the input variable **x**
according to LoD information of **y**. And the following examples will
explain how seq_expand works:
.. code-block:: text
* Case 1
x is a LoDTensor:
x.lod = [[0, 2, 3],
[0, 1, 3, 4]]
x.data = [a, b, c, d]
x.dims = [4, 1]
y is a LoDTensor:
y.lod = [[0, 2, 4],
[0, 3, 6, 7, 8]]
with condition len(y.lod[-1]) - 1 == x.dims[0]
then output is a 2-level LoDTensor:
out.lod = [[0, 2, 4],
[0, 3, 6, 7, 8]]
out.data = [a, a, a, b, b, b, c, d]
out.dims = [8, 1]
* Case 2
x is a Tensor:
x.data = [a, b, c]
x.dims = [3, 1]
y is a LoDTensor:
Y.lod = [[0, 2, 3, 6]]
with condition len(y.lod[-1]) - 1 == x.dims[0]
then output is a 1-level LoDTensor:
out.lod = [[0, 2, 3, 6]]
out.data = [a, a, b, c, c, c]
out.dims = [6, 1]
Args:
x (Variable): The input variable which is a Tensor or LoDTensor.
y (Variable): The input variable which is a LoDTensor.
main_program (Program): The main program.
startup_program (Program): The startup program.
Returns:
Variable: The expanded variable which is a LoDTensor.
Examples:
.. code-block:: python
x = fluid.layers.data(name='x', shape=[10], dtype='float32')
y = fluid.layers.data(name='y', shape=[10, 20],
dtype='float32', lod_level=1)
out = layers.seq_expand(x=x, y=y)
"""
helper
=
LayerHelper
(
'seq_expand'
,
input
=
x
,
**
locals
())
dtype
=
helper
.
input_dtype
()
tmp
=
helper
.
create_tmp_variable
(
dtype
)
helper
.
append_op
(
type
=
'seq_expand'
,
inputs
=
{
'X'
:
x
,
'Y'
:
y
},
outputs
=
{
'Out'
:
tmp
})
return
tmp
python/paddle/v2/fluid/tests/test_layers.py
浏览文件 @
3545d3a6
...
...
@@ -161,6 +161,15 @@ class TestBook(unittest.TestCase):
x
=
dat
,
label
=
lbl
))
print
(
str
(
program
))
def
test_seq_expand
(
self
):
program
=
Program
()
with
program_guard
(
program
):
x
=
layers
.
data
(
name
=
'x'
,
shape
=
[
10
],
dtype
=
'float32'
)
y
=
layers
.
data
(
name
=
'y'
,
shape
=
[
10
,
20
],
dtype
=
'float32'
,
lod_level
=
1
)
self
.
assertIsNotNone
(
layers
.
seq_expand
(
x
=
x
,
y
=
y
))
print
(
str
(
program
))
if
__name__
==
'__main__'
:
unittest
.
main
()
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