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84627bb9
编写于
8月 07, 2017
作者:
C
caoying03
浏览文件
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电子邮件补丁
差异文件
add config helper for sequence slice layer.
上级
ec2c753c
变更
6
隐藏空白更改
内联
并排
Showing
6 changed file
with
212 addition
and
1 deletion
+212
-1
doc/api/v2/config/layer.rst
doc/api/v2/config/layer.rst
+5
-0
python/paddle/trainer/config_parser.py
python/paddle/trainer/config_parser.py
+45
-0
python/paddle/trainer_config_helpers/layers.py
python/paddle/trainer_config_helpers/layers.py
+68
-0
python/paddle/trainer_config_helpers/tests/configs/file_list.sh
.../paddle/trainer_config_helpers/tests/configs/file_list.sh
+2
-1
python/paddle/trainer_config_helpers/tests/configs/protostr/test_seq_slice_layer.protostr
...pers/tests/configs/protostr/test_seq_slice_layer.protostr
+79
-0
python/paddle/trainer_config_helpers/tests/configs/test_seq_slice_layer.py
...iner_config_helpers/tests/configs/test_seq_slice_layer.py
+13
-0
未找到文件。
doc/api/v2/config/layer.rst
浏览文件 @
84627bb9
...
...
@@ -257,6 +257,11 @@ seq_concat
.. autoclass:: paddle.v2.layer.seq_concat
:noindex:
seq_slice
---------
.. autoclass:: paddle.v2.layer.seq_slice
:noindex:
Reshaping Layers
================
...
...
python/paddle/trainer/config_parser.py
浏览文件 @
84627bb9
...
...
@@ -2657,6 +2657,51 @@ class SubSequenceLayer(LayerBase):
self
.
create_bias_parameter
(
bias
,
size
)
@
config_layer
(
'seq_slice'
)
class
SeqSliceLayer
(
LayerBase
):
def
__init__
(
self
,
name
,
inputs
,
starts
,
ends
,
bias
=
False
,
**
xargs
):
if
isinstance
(
inputs
,
list
):
assert
len
(
inputs
)
==
1
,
(
'the first input of sequence slice layer '
'is a single sequence input.'
)
else
:
inputs
=
[
inputs
]
if
starts
is
not
None
:
if
isinstance
(
starts
,
list
):
assert
len
(
starts
)
==
1
,
(
'the start indices for sequence slice layer cannot '
'be a list having more than one element.'
)
starts
=
starts
[
0
]
inputs
.
append
(
starts
)
if
ends
is
not
None
:
if
isinstance
(
ends
,
list
):
assert
len
(
ends
)
==
1
,
(
'the end indices for sequence slice layer cannot '
'be a list having more than one element.'
)
ends
=
ends
[
0
]
inputs
.
append
(
ends
)
assert
len
(
inputs
)
>=
2
,
(
'the sequence slice layer has at least two inputs.'
)
super
(
SeqSliceLayer
,
self
).
__init__
(
name
,
'seq_slice'
,
0
,
inputs
=
inputs
,
**
xargs
)
input_layer0
=
self
.
get_input_layer
(
0
)
size
=
input_layer0
.
size
self
.
set_layer_size
(
size
)
if
len
(
inputs
)
==
3
:
assert
(
self
.
get_input_layer
(
1
).
size
==
self
.
get_input_layer
(
2
).
size
),
(
'If start and end indices are both given to'
'sequence slice layer, they should have the same width.'
)
elif
len
(
inputs
)
==
2
:
if
starts
is
not
None
:
self
.
config
.
select_first
=
True
else
:
self
.
config
.
select_first
=
False
@
config_layer
(
'out_prod'
)
class
OuterProdLayer
(
LayerBase
):
def
__init__
(
self
,
name
,
inputs
,
device
=
None
):
...
...
python/paddle/trainer_config_helpers/layers.py
浏览文件 @
84627bb9
...
...
@@ -131,6 +131,7 @@ __all__ = [
'crop_layer'
,
'clip_layer'
,
'slice_projection'
,
'seq_slice_layer'
,
]
...
...
@@ -225,6 +226,7 @@ class LayerType(object):
PRELU
=
'prelu'
CROP_LAYER
=
'crop'
CLIP_LAYER
=
'clip'
SEQ_SLICE
=
'seq_slice'
@
staticmethod
def
is_layer_type
(
type_name
):
...
...
@@ -6119,3 +6121,69 @@ def clip_layer(input, min, max, name=None):
max
=
max
)
return
LayerOutput
(
name
,
LayerType
.
CLIP_LAYER
,
parents
=
[
input
],
size
=
input
.
size
)
@
wrap_name_default
()
def
seq_slice_layer
(
input
,
starts
,
ends
,
name
=
None
):
"""
seq_slice_layer will return one or several sub-sequences from the
input sequence layer given start and end indices.
- If only start indices are given, and end indices are set to None,
this layer slices the input sequence from the given start indices
to its end.
- If only end indices are given, and start indices are set to None,
this layer slices the input sequence from its beginning to the
given end indices.
- If start and end indices are both given, they should have the same
number of elements.
If start or end indices contains more than one elements, the input sequence
will be sliced for multiple times.
.. code-block:: python
seq_silce = seq_slice_layer(input=input_seq,
starts=start_pos, ends=end_pos)
:param name: name of this layer.
:type name: basestring
:param input: input for this layer, it should be a sequence.
:type input: LayerOutput
:param starts: start indices to slice the input sequence.
:type starts: LayerOutput|None
:param ends: end indices to slice the input sequence.
:type ends: LayerOutput|None
:return: LayerOutput object.
:rtype: LayerOutput
"""
assert
isinstance
(
input
,
LayerOutput
),
(
'The first input of seq_slice layer must be a PaddlePaddle layer.'
)
if
starts
is
not
None
:
assert
isinstance
(
starts
,
LayerOutput
),
(
'The start indices for seq_slice layer '
'must be a PaddlePaddle layer.'
)
if
ends
is
not
None
:
assert
isinstance
(
ends
,
LayerOutput
),
(
'The end indices for seq_slice layer must be a PaddlePaddle layer.'
)
assert
starts
is
not
None
or
ends
is
not
None
,
(
'start and end indices '
'cannot be set to None at the same time, at least one of '
'them should be given.'
)
if
starts
is
not
None
and
ends
is
not
None
:
assert
starts
.
size
==
ends
.
size
,
(
'If start and end indices are both given to seq_slice_layer, '
'they should have the same width.'
)
Layer
(
name
=
name
,
type
=
LayerType
.
SEQ_SLICE
,
inputs
=
input
.
name
,
starts
=
starts
.
name
if
starts
is
not
None
else
None
,
ends
=
ends
.
name
if
ends
is
not
None
else
None
)
return
LayerOutput
(
name
,
LayerType
.
SEQ_SLICE
,
parents
=
[
input
],
size
=
input
.
size
)
python/paddle/trainer_config_helpers/tests/configs/file_list.sh
浏览文件 @
84627bb9
...
...
@@ -7,6 +7,7 @@ test_rnn_group shared_fc shared_lstm shared_gru test_cost_layers_with_weight
test_spp_layer test_bilinear_interp test_maxout test_bi_grumemory math_ops
test_seq_concat_reshape test_pad test_smooth_l1 test_multiplex_layer
test_prelu_layer test_row_conv test_detection_output_layer test_multibox_loss_layer
test_recursive_topology test_gated_unit_layer test_clip_layer test_row_l2_norm_layer
)
test_recursive_topology test_gated_unit_layer test_clip_layer test_row_l2_norm_layer
test_seq_slice_layer
)
export
whole_configs
=(
test_split_datasource
)
python/paddle/trainer_config_helpers/tests/configs/protostr/test_seq_slice_layer.protostr
0 → 100644
浏览文件 @
84627bb9
type: "nn"
layers {
name: "word"
type: "data"
size: 128
active_type: ""
}
layers {
name: "starts"
type: "data"
size: 5
active_type: ""
}
layers {
name: "ends"
type: "data"
size: 5
active_type: ""
}
layers {
name: "__seq_slice_layer_0__"
type: "seq_slice"
size: 128
active_type: ""
inputs {
input_layer_name: "word"
}
inputs {
input_layer_name: "starts"
}
inputs {
input_layer_name: "ends"
}
}
layers {
name: "__seq_slice_layer_1__"
type: "seq_slice"
size: 128
active_type: ""
inputs {
input_layer_name: "word"
}
inputs {
input_layer_name: "starts"
}
select_first: true
}
layers {
name: "__seq_slice_layer_2__"
type: "seq_slice"
size: 128
active_type: ""
inputs {
input_layer_name: "word"
}
inputs {
input_layer_name: "ends"
}
select_first: false
}
input_layer_names: "word"
output_layer_names: "__seq_slice_layer_0__"
output_layer_names: "__seq_slice_layer_1__"
output_layer_names: "__seq_slice_layer_2__"
sub_models {
name: "root"
layer_names: "word"
layer_names: "starts"
layer_names: "ends"
layer_names: "__seq_slice_layer_0__"
layer_names: "__seq_slice_layer_1__"
layer_names: "__seq_slice_layer_2__"
input_layer_names: "word"
output_layer_names: "__seq_slice_layer_0__"
output_layer_names: "__seq_slice_layer_1__"
output_layer_names: "__seq_slice_layer_2__"
is_recurrent_layer_group: false
}
python/paddle/trainer_config_helpers/tests/configs/test_seq_slice_layer.py
0 → 100644
浏览文件 @
84627bb9
#!/usr/bin/env python
#coding=utf-8
from
paddle.trainer_config_helpers
import
*
input_seq
=
data_layer
(
"word"
,
size
=
128
)
starts
=
data_layer
(
"starts"
,
size
=
5
)
ends
=
data_layer
(
"ends"
,
size
=
5
)
seq_slice1
=
seq_slice_layer
(
input
=
input_seq
,
starts
=
starts
,
ends
=
ends
)
seq_slice2
=
seq_slice_layer
(
input
=
input_seq
,
starts
=
starts
,
ends
=
None
)
seq_slice3
=
seq_slice_layer
(
input
=
input_seq
,
starts
=
None
,
ends
=
ends
)
outputs
(
seq_slice1
,
seq_slice2
,
seq_slice3
)
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