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体验新版 GitCode,发现更多精彩内容 >>
提交
a1ba3f44
编写于
11月 12, 2016
作者:
Q
qijun
浏览文件
操作
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差异文件
format python code in python directory
上级
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变更
54
展开全部
隐藏空白更改
内联
并排
Showing
54 changed file
with
3498 addition
and
2926 deletion
+3498
-2926
python/paddle/__init__.py
python/paddle/__init__.py
+0
-1
python/paddle/trainer/PyDataProvider2.py
python/paddle/trainer/PyDataProvider2.py
+19
-16
python/paddle/trainer/PyDataProviderWrapper.py
python/paddle/trainer/PyDataProviderWrapper.py
+22
-13
python/paddle/trainer/__init__.py
python/paddle/trainer/__init__.py
+0
-1
python/paddle/trainer/config_parser.py
python/paddle/trainer/config_parser.py
+979
-1029
python/paddle/trainer/config_parser_extension.py
python/paddle/trainer/config_parser_extension.py
+5
-5
python/paddle/trainer/recurrent_units.py
python/paddle/trainer/recurrent_units.py
+259
-230
python/paddle/trainer_config_helpers/activations.py
python/paddle/trainer_config_helpers/activations.py
+33
-18
python/paddle/trainer_config_helpers/attrs.py
python/paddle/trainer_config_helpers/attrs.py
+25
-12
python/paddle/trainer_config_helpers/data_sources.py
python/paddle/trainer_config_helpers/data_sources.py
+34
-21
python/paddle/trainer_config_helpers/default_decorators.py
python/paddle/trainer_config_helpers/default_decorators.py
+11
-8
python/paddle/trainer_config_helpers/evaluators.py
python/paddle/trainer_config_helpers/evaluators.py
+118
-123
python/paddle/trainer_config_helpers/layers.py
python/paddle/trainer_config_helpers/layers.py
+864
-569
python/paddle/trainer_config_helpers/math.py
python/paddle/trainer_config_helpers/math.py
+20
-7
python/paddle/trainer_config_helpers/networks.py
python/paddle/trainer_config_helpers/networks.py
+477
-295
python/paddle/trainer_config_helpers/optimizers.py
python/paddle/trainer_config_helpers/optimizers.py
+23
-28
python/paddle/trainer_config_helpers/poolings.py
python/paddle/trainer_config_helpers/poolings.py
+13
-10
python/paddle/trainer_config_helpers/tests/configs/img_layers.py
...paddle/trainer_config_helpers/tests/configs/img_layers.py
+10
-9
python/paddle/trainer_config_helpers/tests/configs/img_trans_layers.py
.../trainer_config_helpers/tests/configs/img_trans_layers.py
+11
-9
python/paddle/trainer_config_helpers/tests/configs/last_first_seq.py
...le/trainer_config_helpers/tests/configs/last_first_seq.py
+4
-13
python/paddle/trainer_config_helpers/tests/configs/layer_activations.py
...trainer_config_helpers/tests/configs/layer_activations.py
+8
-8
python/paddle/trainer_config_helpers/tests/configs/math_ops.py
...n/paddle/trainer_config_helpers/tests/configs/math_ops.py
+2
-6
python/paddle/trainer_config_helpers/tests/configs/projections.py
...addle/trainer_config_helpers/tests/configs/projections.py
+14
-15
python/paddle/trainer_config_helpers/tests/configs/shared_fc.py
.../paddle/trainer_config_helpers/tests/configs/shared_fc.py
+17
-10
python/paddle/trainer_config_helpers/tests/configs/shared_lstm.py
...addle/trainer_config_helpers/tests/configs/shared_lstm.py
+20
-8
python/paddle/trainer_config_helpers/tests/configs/simple_rnn_layers.py
...trainer_config_helpers/tests/configs/simple_rnn_layers.py
+16
-15
python/paddle/trainer_config_helpers/tests/configs/test_bi_grumemory.py
...trainer_config_helpers/tests/configs/test_bi_grumemory.py
+1
-4
python/paddle/trainer_config_helpers/tests/configs/test_bilinear_interp.py
...iner_config_helpers/tests/configs/test_bilinear_interp.py
+17
-20
python/paddle/trainer_config_helpers/tests/configs/test_cost_layers.py
.../trainer_config_helpers/tests/configs/test_cost_layers.py
+31
-18
python/paddle/trainer_config_helpers/tests/configs/test_cost_layers_with_weight.py
...fig_helpers/tests/configs/test_cost_layers_with_weight.py
+6
-6
python/paddle/trainer_config_helpers/tests/configs/test_expand_layer.py
...trainer_config_helpers/tests/configs/test_expand_layer.py
+6
-8
python/paddle/trainer_config_helpers/tests/configs/test_fc.py
...on/paddle/trainer_config_helpers/tests/configs/test_fc.py
+4
-8
python/paddle/trainer_config_helpers/tests/configs/test_grumemory_layer.py
...iner_config_helpers/tests/configs/test_grumemory_layer.py
+8
-6
python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.py
...dle/trainer_config_helpers/tests/configs/test_hsigmoid.py
+2
-5
python/paddle/trainer_config_helpers/tests/configs/test_lstmemory_layer.py
...iner_config_helpers/tests/configs/test_lstmemory_layer.py
+8
-6
python/paddle/trainer_config_helpers/tests/configs/test_maxout.py
...addle/trainer_config_helpers/tests/configs/test_maxout.py
+28
-40
python/paddle/trainer_config_helpers/tests/configs/test_ntm_layers.py
...e/trainer_config_helpers/tests/configs/test_ntm_layers.py
+21
-14
python/paddle/trainer_config_helpers/tests/configs/test_print_layer.py
.../trainer_config_helpers/tests/configs/test_print_layer.py
+1
-4
python/paddle/trainer_config_helpers/tests/configs/test_rnn_group.py
...le/trainer_config_helpers/tests/configs/test_rnn_group.py
+13
-12
python/paddle/trainer_config_helpers/tests/configs/test_sequence_pooling.py
...ner_config_helpers/tests/configs/test_sequence_pooling.py
+6
-15
python/paddle/trainer_config_helpers/tests/configs/test_split_datasource.py
...ner_config_helpers/tests/configs/test_split_datasource.py
+6
-8
python/paddle/trainer_config_helpers/tests/configs/test_spp_layer.py
...le/trainer_config_helpers/tests/configs/test_spp_layer.py
+7
-9
python/paddle/trainer_config_helpers/tests/configs/unused_layers.py
...dle/trainer_config_helpers/tests/configs/unused_layers.py
+2
-5
python/paddle/trainer_config_helpers/tests/configs/util_layers.py
...addle/trainer_config_helpers/tests/configs/util_layers.py
+3
-5
python/paddle/trainer_config_helpers/tests/layers_test_config.py
...paddle/trainer_config_helpers/tests/layers_test_config.py
+35
-30
python/paddle/trainer_config_helpers/utils.py
python/paddle/trainer_config_helpers/utils.py
+2
-2
python/paddle/utils/image_util.py
python/paddle/utils/image_util.py
+45
-31
python/paddle/utils/make_model_diagram.py
python/paddle/utils/make_model_diagram.py
+8
-9
python/paddle/utils/plotcurve.py
python/paddle/utils/plotcurve.py
+26
-14
python/paddle/utils/predefined_net.py
python/paddle/utils/predefined_net.py
+128
-112
python/paddle/utils/preprocess_img.py
python/paddle/utils/preprocess_img.py
+20
-17
python/paddle/utils/preprocess_util.py
python/paddle/utils/preprocess_util.py
+40
-25
python/paddle/utils/show_pb.py
python/paddle/utils/show_pb.py
+3
-6
python/paddle/utils/torch2paddle.py
python/paddle/utils/torch2paddle.py
+17
-8
未找到文件。
python/paddle/__init__.py
浏览文件 @
a1ba3f44
...
@@ -11,4 +11,3 @@
...
@@ -11,4 +11,3 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# See the License for the specific language governing permissions and
# limitations under the License.
# limitations under the License.
python/paddle/trainer/PyDataProvider2.py
浏览文件 @
a1ba3f44
...
@@ -18,9 +18,8 @@ import collections
...
@@ -18,9 +18,8 @@ import collections
import
functools
import
functools
import
itertools
import
itertools
logging
.
basicConfig
(
logging
.
basicConfig
(
format
=
"[%(levelname)s %(asctime)s %(filename)s:%(lineno)s]"
format
=
"[%(levelname)s %(asctime)s %(filename)s:%(lineno)s]"
" %(message)s"
)
" %(message)s"
)
class
SequenceType
(
object
):
class
SequenceType
(
object
):
...
@@ -132,8 +131,10 @@ class InputOrderWrapper(object):
...
@@ -132,8 +131,10 @@ class InputOrderWrapper(object):
def
__call__
(
self
,
obj
,
filename
):
def
__call__
(
self
,
obj
,
filename
):
for
item
in
self
.
generator
(
obj
,
filename
):
for
item
in
self
.
generator
(
obj
,
filename
):
if
isinstance
(
item
,
dict
):
if
isinstance
(
item
,
dict
):
yield
[
item
.
get
(
input_name
,
None
)
for
input_name
in
yield
[
self
.
input_order
]
item
.
get
(
input_name
,
None
)
for
input_name
in
self
.
input_order
]
else
:
else
:
yield
item
yield
item
...
@@ -162,8 +163,8 @@ class CheckWrapper(object):
...
@@ -162,8 +163,8 @@ class CheckWrapper(object):
yield
items
yield
items
except
AssertionError
as
e
:
except
AssertionError
as
e
:
self
.
logger
.
warning
(
self
.
logger
.
warning
(
"Item (%s) is not fit the input type with error %s"
"Item (%s) is not fit the input type with error %s"
%
%
(
repr
(
item
),
repr
(
e
)))
(
repr
(
item
),
repr
(
e
)))
if
self
.
check_fail_continue
:
if
self
.
check_fail_continue
:
continue
continue
...
@@ -202,13 +203,17 @@ class CheckWrapper(object):
...
@@ -202,13 +203,17 @@ class CheckWrapper(object):
callback
(
each
)
callback
(
each
)
def
provider
(
input_types
=
None
,
should_shuffle
=
None
,
pool_size
=-
1
,
def
provider
(
input_types
=
None
,
should_shuffle
=
None
,
pool_size
=-
1
,
min_pool_size
=-
1
,
min_pool_size
=-
1
,
can_over_batch_size
=
True
,
can_over_batch_size
=
True
,
calc_batch_size
=
None
,
calc_batch_size
=
None
,
cache
=
CacheType
.
NO_CACHE
,
cache
=
CacheType
.
NO_CACHE
,
check
=
False
,
check_fail_continue
=
False
,
check
=
False
,
init_hook
=
None
,
**
kwargs
):
check_fail_continue
=
False
,
init_hook
=
None
,
**
kwargs
):
"""
"""
Provider decorator. Use it to make a function into PyDataProvider2 object.
Provider decorator. Use it to make a function into PyDataProvider2 object.
In this function, user only need to get each sample for some train/test
In this function, user only need to get each sample for some train/test
...
@@ -318,9 +323,9 @@ def provider(input_types=None, should_shuffle=None, pool_size=-1,
...
@@ -318,9 +323,9 @@ def provider(input_types=None, should_shuffle=None, pool_size=-1,
"Could not recognize should_shuffle (%s), "
"Could not recognize should_shuffle (%s), "
"just use default value of should_shuffle."
"just use default value of should_shuffle."
" Please set should_shuffle to bool value or "
" Please set should_shuffle to bool value or "
"something in %s"
%
(
"something in %s"
%
repr
(
self
.
should_shuffle
),
(
repr
(
self
.
should_shuffle
),
repr
(
true_table
+
false_table
)))
repr
(
true_table
+
false_table
)))
self
.
should_shuffle
=
None
self
.
should_shuffle
=
None
self
.
pool_size
=
pool_size
self
.
pool_size
=
pool_size
...
@@ -351,8 +356,7 @@ def provider(input_types=None, should_shuffle=None, pool_size=-1,
...
@@ -351,8 +356,7 @@ def provider(input_types=None, should_shuffle=None, pool_size=-1,
self
.
generator
=
InputOrderWrapper
(
self
.
generator
,
self
.
generator
=
InputOrderWrapper
(
self
.
generator
,
self
.
input_order
)
self
.
input_order
)
if
self
.
check
:
if
self
.
check
:
self
.
generator
=
CheckWrapper
(
self
.
generator
,
self
.
generator
=
CheckWrapper
(
self
.
generator
,
self
.
slots
,
self
.
slots
,
check_fail_continue
,
check_fail_continue
,
self
.
logger
)
self
.
logger
)
...
@@ -368,4 +372,3 @@ def deserialize_args(args):
...
@@ -368,4 +372,3 @@ def deserialize_args(args):
:return:
:return:
"""
"""
return
cPickle
.
loads
(
args
)
return
cPickle
.
loads
(
args
)
python/paddle/trainer/PyDataProviderWrapper.py
浏览文件 @
a1ba3f44
...
@@ -11,7 +11,6 @@
...
@@ -11,7 +11,6 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# See the License for the specific language governing permissions and
# limitations under the License.
# limitations under the License.
"""
"""
This module provide a wrapper(decorator) to wrap a data process method into a
This module provide a wrapper(decorator) to wrap a data process method into a
PyDataProvider. Some examples are shown `here <data_provider/python_case.html>`_.
PyDataProvider. Some examples are shown `here <data_provider/python_case.html>`_.
...
@@ -47,6 +46,7 @@ except ImportError:
...
@@ -47,6 +46,7 @@ except ImportError:
import
io
import
io
class
SlotType
(
object
):
# Just a hint for user.
class
SlotType
(
object
):
# Just a hint for user.
pass
pass
...
@@ -83,6 +83,7 @@ class SparseNonValueSlot(SlotType):
...
@@ -83,6 +83,7 @@ class SparseNonValueSlot(SlotType):
- **SubSeq**: [[[int, int, ...], [int, ....], ...] ,
\
- **SubSeq**: [[[int, int, ...], [int, ....], ...] ,
\
[[int, int, ...], [int, ....], ...] , ...]
[[int, int, ...], [int, ....], ...] , ...]
"""
"""
def
__init__
(
self
,
dim
):
def
__init__
(
self
,
dim
):
"""
"""
:param dim: slot dimension
:param dim: slot dimension
...
@@ -294,8 +295,9 @@ class GeneralPyDataProvider:
...
@@ -294,8 +295,9 @@ class GeneralPyDataProvider:
fn
=
"%s_%d"
%
(
self
.
profile_filename
,
self
.
profile_count
)
fn
=
"%s_%d"
%
(
self
.
profile_filename
,
self
.
profile_count
)
sortby
=
"cumulative"
sortby
=
"cumulative"
with
open
(
fn
,
"w"
)
as
f
:
with
open
(
fn
,
"w"
)
as
f
:
pstats
.
Stats
(
self
.
profiler
,
stream
=
f
).
sort_stats
(
pstats
.
Stats
(
sortby
).
print_stats
()
self
.
profiler
,
stream
=
f
).
sort_stats
(
sortby
).
print_stats
()
self
.
logger
.
info
(
"saving profile to file %s"
%
fn
)
self
.
logger
.
info
(
"saving profile to file %s"
%
fn
)
self
.
profile_count
+=
1
self
.
profile_count
+=
1
self
.
logger
.
info
(
"resetting profile"
)
self
.
logger
.
info
(
"resetting profile"
)
...
@@ -453,9 +455,10 @@ class GeneralPyDataProvider:
...
@@ -453,9 +455,10 @@ class GeneralPyDataProvider:
seq_stream
.
flush
()
seq_stream
.
flush
()
subseq_stream
.
flush
()
subseq_stream
.
flush
()
return
""
.
join
([
self
.
int_packer
.
pack
(
current_batch_size
),
return
""
.
join
([
data_bytes
.
getvalue
(),
self
.
int_packer
.
pack
(
current_batch_size
),
data_bytes
.
getvalue
(),
seq_bytes
.
getvalue
(),
subseq_bytes
.
getvalue
()])
seq_bytes
.
getvalue
(),
subseq_bytes
.
getvalue
()
])
finally
:
finally
:
data_stream
.
close
()
data_stream
.
close
()
...
@@ -516,7 +519,7 @@ class GeneralPyDataProvider:
...
@@ -516,7 +519,7 @@ class GeneralPyDataProvider:
self
.
data_pool
[
idx
])
self
.
data_pool
[
idx
])
idx
-=
1
idx
-=
1
ret_list
+=
self
.
data_pool
[
self
.
data_pool_idx
:
idx
+
1
]
ret_list
+=
self
.
data_pool
[
self
.
data_pool_idx
:
idx
+
1
]
# for speed reason, just shift left index, not delete data actually.
# for speed reason, just shift left index, not delete data actually.
self
.
data_pool_idx
=
idx
+
1
self
.
data_pool_idx
=
idx
+
1
...
@@ -537,8 +540,8 @@ class GeneralPyDataProvider:
...
@@ -537,8 +540,8 @@ class GeneralPyDataProvider:
if
self
.
max_pool_size
==
0
:
if
self
.
max_pool_size
==
0
:
for
i
in
xrange
(
min
(
self
.
file_count
,
len
(
self
.
generators
))):
for
i
in
xrange
(
min
(
self
.
file_count
,
len
(
self
.
generators
))):
self
.
data_pool
+=
list
(
self
.
generators
[
i
])
self
.
data_pool
+=
list
(
self
.
generators
[
i
])
self
.
generators
=
self
.
generators
[
self
.
generators
=
self
.
generators
[
min
(
self
.
file_count
,
min
(
self
.
file_count
,
len
(
self
.
generators
)):]
len
(
self
.
generators
)):]
self
.
max_pool_size
=
len
(
self
.
data_pool
)
self
.
max_pool_size
=
len
(
self
.
data_pool
)
else
:
else
:
while
len
(
self
.
data_pool
)
<
self
.
max_pool_size
and
len
(
while
len
(
self
.
data_pool
)
<
self
.
max_pool_size
and
len
(
...
@@ -562,9 +565,15 @@ def default_init_hook(cls, *args, **kwargs):
...
@@ -562,9 +565,15 @@ def default_init_hook(cls, *args, **kwargs):
del
cls
,
args
,
kwargs
del
cls
,
args
,
kwargs
def
provider
(
slots
=
None
,
use_seq
=
False
,
should_shuffle
=
True
,
pool_size
=
1
,
def
provider
(
slots
=
None
,
can_over_batch_size
=
True
,
calc_batch_size
=
lambda
data
:
1
,
use_seq
=
False
,
debug
=
False
,
init_hook
=
default_init_hook
,
profile_filename
=
None
):
should_shuffle
=
True
,
pool_size
=
1
,
can_over_batch_size
=
True
,
calc_batch_size
=
lambda
data
:
1
,
debug
=
False
,
init_hook
=
default_init_hook
,
profile_filename
=
None
):
"""
"""
The decorator for PyDataProvider. User should use this to create Provider class.
The decorator for PyDataProvider. User should use this to create Provider class.
User should only concern how to read sample from file.
User should only concern how to read sample from file.
...
@@ -663,7 +672,7 @@ def provider(slots=None, use_seq=False, should_shuffle=True, pool_size=1,
...
@@ -663,7 +672,7 @@ def provider(slots=None, use_seq=False, should_shuffle=True, pool_size=1,
def
__init__
(
self
,
*
file_list
,
**
kwargs
):
def
__init__
(
self
,
*
file_list
,
**
kwargs
):
logging
.
basicConfig
(
logging
.
basicConfig
(
format
=
"[%(levelname)s %(asctime)s %(filename)s:%(lineno)s]"
format
=
"[%(levelname)s %(asctime)s %(filename)s:%(lineno)s]"
" %(message)s"
)
" %(message)s"
)
self
.
logger
=
logging
.
getLogger
(
""
)
self
.
logger
=
logging
.
getLogger
(
""
)
if
debug
:
if
debug
:
...
...
python/paddle/trainer/__init__.py
浏览文件 @
a1ba3f44
...
@@ -11,4 +11,3 @@
...
@@ -11,4 +11,3 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# See the License for the specific language governing permissions and
# limitations under the License.
# limitations under the License.
python/paddle/trainer/config_parser.py
浏览文件 @
a1ba3f44
此差异已折叠。
点击以展开。
python/paddle/trainer/config_parser_extension.py
浏览文件 @
a1ba3f44
...
@@ -17,11 +17,10 @@ from paddle.proto.DataConfig_pb2 import DataConfig
...
@@ -17,11 +17,10 @@ from paddle.proto.DataConfig_pb2 import DataConfig
g_config
=
None
g_config
=
None
def
SimpleData
(
def
SimpleData
(
files
=
None
,
files
=
None
,
feat_dim
=
None
,
feat_dim
=
None
,
context_len
=
None
,
context_len
=
None
,
buffer_capacity
=
None
):
buffer_capacity
=
None
):
data_config
=
DataConfig
()
data_config
=
DataConfig
()
data_config
.
type
=
'simple'
data_config
.
type
=
'simple'
...
@@ -33,6 +32,7 @@ def SimpleData(
...
@@ -33,6 +32,7 @@ def SimpleData(
data_config
.
buffer_capacity
=
buffer_capacity
data_config
.
buffer_capacity
=
buffer_capacity
return
data_config
return
data_config
def
get_config_funcs
(
trainer_config
):
def
get_config_funcs
(
trainer_config
):
global
g_config
global
g_config
g_config
=
trainer_config
g_config
=
trainer_config
...
...
python/paddle/trainer/recurrent_units.py
浏览文件 @
a1ba3f44
此差异已折叠。
点击以展开。
python/paddle/trainer_config_helpers/activations.py
浏览文件 @
a1ba3f44
...
@@ -12,13 +12,12 @@
...
@@ -12,13 +12,12 @@
# See the License for the specific language governing permissions and
# See the License for the specific language governing permissions and
# limitations under the License.
# limitations under the License.
__all__
=
[
"TanhActivation"
,
"SigmoidActivation"
,
__all__
=
[
"SoftmaxActivation"
,
"IdentityActivation"
,
"LinearActivation"
,
"TanhActivation"
,
"SigmoidActivation"
,
"SoftmaxActivation"
,
'SequenceSoftmaxActivation'
,
'ExpActivation'
,
"IdentityActivation"
,
"LinearActivation"
,
'SequenceSoftmaxActivation'
,
"ReluActivation"
,
"BReluActivation"
,
"SoftReluActivation"
,
'ExpActivation'
,
"ReluActivation"
,
"BReluActivation"
,
"SoftReluActivation"
,
"STanhActivation"
,
"STanhActivation"
,
"AbsActivation"
,
"SquareActivation"
,
"BaseActivation"
"AbsActivation"
,
"SquareActivation"
,
]
"BaseActivation"
]
class
BaseActivation
(
object
):
class
BaseActivation
(
object
):
...
@@ -51,7 +50,8 @@ class TanhActivation(BaseActivation):
...
@@ -51,7 +50,8 @@ class TanhActivation(BaseActivation):
f(z)=tanh(z)=
\\
frac{e^z-e^{-z}}{e^z+e^{-z}}
f(z)=tanh(z)=
\\
frac{e^z-e^{-z}}{e^z+e^{-z}}
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'tanh'
,
True
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'tanh'
,
True
)
class
SigmoidActivation
(
BaseActivation
):
class
SigmoidActivation
(
BaseActivation
):
...
@@ -63,7 +63,8 @@ class SigmoidActivation(BaseActivation):
...
@@ -63,7 +63,8 @@ class SigmoidActivation(BaseActivation):
f(z) =
\\
frac{1}{1+exp(-z)}
f(z) =
\\
frac{1}{1+exp(-z)}
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'sigmoid'
,
True
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'sigmoid'
,
True
)
class
SoftmaxActivation
(
BaseActivation
):
class
SoftmaxActivation
(
BaseActivation
):
...
@@ -104,7 +105,8 @@ class IdentityActivation(BaseActivation):
...
@@ -104,7 +105,8 @@ class IdentityActivation(BaseActivation):
Just do nothing for output both forward/backward.
Just do nothing for output both forward/backward.
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
''
,
False
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
''
,
False
)
LinearActivation
=
IdentityActivation
LinearActivation
=
IdentityActivation
...
@@ -124,7 +126,8 @@ class ReluActivation(BaseActivation):
...
@@ -124,7 +126,8 @@ class ReluActivation(BaseActivation):
0 &
\\
quad
\\
mathrm{otherwize}
0 &
\\
quad
\\
mathrm{otherwize}
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'relu'
,
True
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'relu'
,
True
)
class
BReluActivation
(
BaseActivation
):
class
BReluActivation
(
BaseActivation
):
...
@@ -141,7 +144,8 @@ class BReluActivation(BaseActivation):
...
@@ -141,7 +144,8 @@ class BReluActivation(BaseActivation):
0 &
\\
quad
\\
mathrm{otherwise}
0 &
\\
quad
\\
mathrm{otherwise}
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'brelu'
,
False
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'brelu'
,
False
)
class
SoftReluActivation
(
BaseActivation
):
class
SoftReluActivation
(
BaseActivation
):
...
@@ -149,7 +153,9 @@ class SoftReluActivation(BaseActivation):
...
@@ -149,7 +153,9 @@ class SoftReluActivation(BaseActivation):
SoftRelu Activation.
SoftRelu Activation.
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'softrelu'
,
False
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'softrelu'
,
False
)
class
STanhActivation
(
BaseActivation
):
class
STanhActivation
(
BaseActivation
):
"""
"""
...
@@ -160,7 +166,8 @@ class STanhActivation(BaseActivation):
...
@@ -160,7 +166,8 @@ class STanhActivation(BaseActivation):
f(z) = 1.7159 * tanh(2/3*z)
f(z) = 1.7159 * tanh(2/3*z)
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'stanh'
,
False
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'stanh'
,
False
)
class
AbsActivation
(
BaseActivation
):
class
AbsActivation
(
BaseActivation
):
...
@@ -178,7 +185,8 @@ class AbsActivation(BaseActivation):
...
@@ -178,7 +185,8 @@ class AbsActivation(BaseActivation):
0 &
\\
quad if
\\
quad z = 0
0 &
\\
quad if
\\
quad z = 0
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'abs'
,
False
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'abs'
,
False
)
class
SquareActivation
(
BaseActivation
):
class
SquareActivation
(
BaseActivation
):
...
@@ -189,7 +197,9 @@ class SquareActivation(BaseActivation):
...
@@ -189,7 +197,9 @@ class SquareActivation(BaseActivation):
f(z) = z^2.
f(z) = z^2.
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'square'
,
False
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'square'
,
False
)
class
ExpActivation
(
BaseActivation
):
class
ExpActivation
(
BaseActivation
):
"""
"""
...
@@ -198,7 +208,10 @@ class ExpActivation(BaseActivation):
...
@@ -198,7 +208,10 @@ class ExpActivation(BaseActivation):
.. math::
.. math::
f(z) = e^z.
f(z) = e^z.
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'exponential'
,
False
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'exponential'
,
False
)
class
LogActivation
(
BaseActivation
):
class
LogActivation
(
BaseActivation
):
"""
"""
...
@@ -207,4 +220,6 @@ class LogActivation(BaseActivation):
...
@@ -207,4 +220,6 @@ class LogActivation(BaseActivation):
.. math::
.. math::
f(z) = log(z)
f(z) = log(z)
"""
"""
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'log'
,
False
)
def
__init__
(
self
):
BaseActivation
.
__init__
(
self
,
'log'
,
False
)
python/paddle/trainer_config_helpers/attrs.py
浏览文件 @
a1ba3f44
...
@@ -13,8 +13,9 @@
...
@@ -13,8 +13,9 @@
# limitations under the License.
# limitations under the License.
from
paddle.trainer.config_parser
import
*
from
paddle.trainer.config_parser
import
*
__all__
=
[
'ParamAttr'
,
'ExtraAttr'
,
'ParameterAttribute'
,
__all__
=
[
'ExtraLayerAttribute'
]
'ParamAttr'
,
'ExtraAttr'
,
'ParameterAttribute'
,
'ExtraLayerAttribute'
]
def
convert_and_compare
(
x
,
Type
):
def
convert_and_compare
(
x
,
Type
):
...
@@ -25,7 +26,8 @@ def convert_and_compare(x, Type):
...
@@ -25,7 +26,8 @@ def convert_and_compare(x, Type):
:param Type: target type to check x over
:param Type: target type to check x over
"""
"""
return
type
(
x
)(
Type
(
x
))
==
x
return
type
(
x
)(
Type
(
x
))
==
x
def
is_compatible_with
(
x
,
Type
):
def
is_compatible_with
(
x
,
Type
):
"""
"""
...
@@ -38,9 +40,9 @@ def is_compatible_with(x, Type):
...
@@ -38,9 +40,9 @@ def is_compatible_with(x, Type):
return
True
return
True
try
:
try
:
if
float
==
Type
or
int
==
Type
:
if
float
==
Type
or
int
==
Type
:
# avoid those types that can be converted to float/int but not very
# avoid those types that can be converted to float/int but not very
# meaningful and could potentially lead to error
# meaningful and could potentially lead to error
# i.e., str and bool typed value should not be used for initializing float/int variable
# i.e., str and bool typed value should not be used for initializing float/int variable
if
not
isinstance
(
x
,
str
)
and
not
isinstance
(
x
,
bool
):
if
not
isinstance
(
x
,
str
)
and
not
isinstance
(
x
,
bool
):
return
convert_and_compare
(
x
,
Type
)
return
convert_and_compare
(
x
,
Type
)
elif
bool
==
Type
:
elif
bool
==
Type
:
...
@@ -91,9 +93,17 @@ class ParameterAttribute(object):
...
@@ -91,9 +93,17 @@ class ParameterAttribute(object):
:type sparse_update: bool
:type sparse_update: bool
"""
"""
def
__init__
(
self
,
name
=
None
,
is_static
=
False
,
initial_std
=
None
,
def
__init__
(
self
,
initial_mean
=
None
,
initial_max
=
None
,
initial_min
=
None
,
name
=
None
,
l1_rate
=
None
,
l2_rate
=
None
,
learning_rate
=
None
,
momentum
=
None
,
is_static
=
False
,
initial_std
=
None
,
initial_mean
=
None
,
initial_max
=
None
,
initial_min
=
None
,
l1_rate
=
None
,
l2_rate
=
None
,
learning_rate
=
None
,
momentum
=
None
,
sparse_update
=
False
):
sparse_update
=
False
):
# initialize strategy.
# initialize strategy.
if
is_static
:
if
is_static
:
...
@@ -183,7 +193,10 @@ class ExtraLayerAttribute(object):
...
@@ -183,7 +193,10 @@ class ExtraLayerAttribute(object):
:type device: int
:type device: int
"""
"""
def
__init__
(
self
,
error_clipping_threshold
=
None
,
drop_rate
=
None
,
device
=
None
):
def
__init__
(
self
,
error_clipping_threshold
=
None
,
drop_rate
=
None
,
device
=
None
):
self
.
attr
=
dict
()
self
.
attr
=
dict
()
if
isinstance
(
error_clipping_threshold
,
float
):
if
isinstance
(
error_clipping_threshold
,
float
):
assert
error_clipping_threshold
>
0
assert
error_clipping_threshold
>
0
...
@@ -200,8 +213,8 @@ class ExtraLayerAttribute(object):
...
@@ -200,8 +213,8 @@ class ExtraLayerAttribute(object):
for
key
in
self
.
attr
:
for
key
in
self
.
attr
:
if
not
hasattr
(
self
,
'can_%s'
%
key
)
or
\
if
not
hasattr
(
self
,
'can_%s'
%
key
)
or
\
not
getattr
(
self
,
'can_%s'
%
key
):
not
getattr
(
self
,
'can_%s'
%
key
):
raise
NotImplementedError
(
raise
NotImplementedError
(
"Layer %s cannot support %s"
%
"Layer %s cannot support %s"
%
(
layer_name
,
key
))
(
layer_name
,
key
))
@
staticmethod
@
staticmethod
def
to_kwargs
(
attr
):
def
to_kwargs
(
attr
):
...
...
python/paddle/trainer_config_helpers/data_sources.py
浏览文件 @
a1ba3f44
...
@@ -11,7 +11,6 @@
...
@@ -11,7 +11,6 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# See the License for the specific language governing permissions and
# limitations under the License.
# limitations under the License.
"""
"""
Data Sources are helpers to define paddle training data or testing data.
Data Sources are helpers to define paddle training data or testing data.
"""
"""
...
@@ -26,8 +25,12 @@ except ImportError:
...
@@ -26,8 +25,12 @@ except ImportError:
__all__
=
[
'define_py_data_sources2'
]
__all__
=
[
'define_py_data_sources2'
]
def
define_py_data_source
(
file_list
,
cls
,
module
,
def
define_py_data_source
(
file_list
,
obj
,
args
=
None
,
async
=
False
,
cls
,
module
,
obj
,
args
=
None
,
async
=
False
,
data_cls
=
PyData
):
data_cls
=
PyData
):
"""
"""
Define a python data source.
Define a python data source.
...
@@ -76,8 +79,9 @@ def define_py_data_source(file_list, cls, module,
...
@@ -76,8 +79,9 @@ def define_py_data_source(file_list, cls, module,
args
=
pickle
.
dumps
(
args
,
0
)
args
=
pickle
.
dumps
(
args
,
0
)
if
data_cls
is
None
:
if
data_cls
is
None
:
def
py_data2
(
files
,
load_data_module
,
load_data_object
,
load_data_args
,
def
py_data2
(
files
,
load_data_module
,
load_data_object
,
load_data_args
,
**
kwargs
):
**
kwargs
):
data
=
DataBase
()
data
=
DataBase
()
data
.
type
=
'py2'
data
.
type
=
'py2'
data
.
files
=
files
data
.
files
=
files
...
@@ -86,17 +90,25 @@ def define_py_data_source(file_list, cls, module,
...
@@ -86,17 +90,25 @@ def define_py_data_source(file_list, cls, module,
data
.
load_data_args
=
load_data_args
data
.
load_data_args
=
load_data_args
data
.
async_load_data
=
True
data
.
async_load_data
=
True
return
data
return
data
data_cls
=
py_data2
cls
(
data_cls
(
files
=
file_list
,
load_data_module
=
module
,
load_data_object
=
obj
,
load_data_args
=
args
,
async_load_data
=
async
))
data_cls
=
py_data2
def
define_py_data_sources
(
train_list
,
test_list
,
module
,
obj
,
args
=
None
,
cls
(
train_async
=
False
,
data_cls
=
PyData
):
data_cls
(
files
=
file_list
,
load_data_module
=
module
,
load_data_object
=
obj
,
load_data_args
=
args
,
async_load_data
=
async
))
def
define_py_data_sources
(
train_list
,
test_list
,
module
,
obj
,
args
=
None
,
train_async
=
False
,
data_cls
=
PyData
):
"""
"""
The annotation is almost the same as define_py_data_sources2, except that
The annotation is almost the same as define_py_data_sources2, except that
it can specific train_async and data_cls.
it can specific train_async and data_cls.
...
@@ -125,8 +137,8 @@ def define_py_data_sources(train_list, test_list, module, obj, args=None,
...
@@ -125,8 +137,8 @@ def define_py_data_sources(train_list, test_list, module, obj, args=None,
"""
"""
def
__is_splitable__
(
o
):
def
__is_splitable__
(
o
):
return
(
isinstance
(
o
,
list
)
or
isinstance
(
o
,
tuple
)
return
(
isinstance
(
o
,
list
)
or
)
and
hasattr
(
o
,
'__len__'
)
and
len
(
o
)
==
2
isinstance
(
o
,
tuple
)
)
and
hasattr
(
o
,
'__len__'
)
and
len
(
o
)
==
2
assert
train_list
is
not
None
or
test_list
is
not
None
assert
train_list
is
not
None
or
test_list
is
not
None
assert
module
is
not
None
and
obj
is
not
None
assert
module
is
not
None
and
obj
is
not
None
...
@@ -196,9 +208,10 @@ def define_py_data_sources2(train_list, test_list, module, obj, args=None):
...
@@ -196,9 +208,10 @@ def define_py_data_sources2(train_list, test_list, module, obj, args=None):
:return: None
:return: None
:rtype: None
:rtype: None
"""
"""
define_py_data_sources
(
train_list
=
train_list
,
define_py_data_sources
(
test_list
=
test_list
,
train_list
=
train_list
,
module
=
module
,
test_list
=
test_list
,
obj
=
obj
,
module
=
module
,
args
=
args
,
obj
=
obj
,
data_cls
=
None
)
args
=
args
,
data_cls
=
None
)
python/paddle/trainer_config_helpers/default_decorators.py
浏览文件 @
a1ba3f44
...
@@ -18,16 +18,18 @@ from .attrs import ParamAttr
...
@@ -18,16 +18,18 @@ from .attrs import ParamAttr
from
.activations
import
TanhActivation
from
.activations
import
TanhActivation
from
paddle.trainer.config_parser
import
*
from
paddle.trainer.config_parser
import
*
__all__
=
[
'wrap_name_default'
,
'wrap_param_attr_default'
,
__all__
=
[
'wrap_bias_attr_default'
,
'wrap_act_default'
,
'wrap_name_default'
,
'wrap_param_attr_default'
,
'wrap_bias_attr_default'
,
'wrap_param_default'
]
'wrap_act_default'
,
'wrap_param_default'
]
def
__default_not_set_callback__
(
kwargs
,
name
):
def
__default_not_set_callback__
(
kwargs
,
name
):
return
name
not
in
kwargs
or
kwargs
[
name
]
is
None
return
name
not
in
kwargs
or
kwargs
[
name
]
is
None
def
wrap_param_default
(
param_names
=
None
,
default_factory
=
None
,
def
wrap_param_default
(
param_names
=
None
,
default_factory
=
None
,
not_set_callback
=
__default_not_set_callback__
):
not_set_callback
=
__default_not_set_callback__
):
assert
param_names
is
not
None
assert
param_names
is
not
None
assert
isinstance
(
param_names
,
list
)
or
isinstance
(
param_names
,
tuple
)
assert
isinstance
(
param_names
,
list
)
or
isinstance
(
param_names
,
tuple
)
...
@@ -43,7 +45,8 @@ def wrap_param_default(param_names=None, default_factory=None,
...
@@ -43,7 +45,8 @@ def wrap_param_default(param_names=None, default_factory=None,
if
argspec
.
defaults
:
if
argspec
.
defaults
:
num_positional
-=
len
(
argspec
.
defaults
)
num_positional
-=
len
(
argspec
.
defaults
)
if
not
argspec
.
varargs
and
len
(
args
)
>
num_positional
:
if
not
argspec
.
varargs
and
len
(
args
)
>
num_positional
:
logger
.
fatal
(
"Must use keyword arguments for non-positional args"
)
logger
.
fatal
(
"Must use keyword arguments for non-positional args"
)
for
name
in
param_names
:
for
name
in
param_names
:
if
not_set_callback
(
kwargs
,
name
):
# Not set
if
not_set_callback
(
kwargs
,
name
):
# Not set
kwargs
[
name
]
=
default_factory
(
func
)
kwargs
[
name
]
=
default_factory
(
func
)
...
@@ -112,13 +115,13 @@ def wrap_param_attr_default(param_names=None, default_factory=None):
...
@@ -112,13 +115,13 @@ def wrap_param_attr_default(param_names=None, default_factory=None):
return
wrap_param_default
(
param_names
,
default_factory
)
return
wrap_param_default
(
param_names
,
default_factory
)
def
wrap_bias_attr_default
(
param_names
=
None
,
default_factory
=
None
,
def
wrap_bias_attr_default
(
param_names
=
None
,
default_factory
=
None
,
has_bias
=
True
):
has_bias
=
True
):
if
param_names
is
None
:
if
param_names
is
None
:
param_names
=
[
'bias_attr'
]
param_names
=
[
'bias_attr'
]
if
default_factory
is
None
:
if
default_factory
is
None
:
default_factory
=
lambda
_
:
ParamAttr
(
initial_std
=
0.
,
default_factory
=
lambda
_
:
ParamAttr
(
initial_std
=
0.
,
initial_mean
=
0.
)
initial_mean
=
0.
)
def
__bias_attr_not_set__
(
kwargs
,
name
):
def
__bias_attr_not_set__
(
kwargs
,
name
):
if
has_bias
:
if
has_bias
:
...
...
python/paddle/trainer_config_helpers/evaluators.py
浏览文件 @
a1ba3f44
...
@@ -15,13 +15,14 @@
...
@@ -15,13 +15,14 @@
from
paddle.trainer.config_parser
import
*
from
paddle.trainer.config_parser
import
*
from
default_decorators
import
*
from
default_decorators
import
*
__all__
=
[
"evaluator_base"
,
"classification_error_evaluator"
,
"auc_evaluator"
,
__all__
=
[
"pnpair_evaluator"
,
"precision_recall_evaluator"
,
"evaluator_base"
,
"classification_error_evaluator"
,
"auc_evaluator"
,
"ctc_error_evaluator"
,
"chunk_evaluator"
,
"sum_evaluator"
,
"pnpair_evaluator"
,
"precision_recall_evaluator"
,
"ctc_error_evaluator"
,
"column_sum_evaluator"
,
"value_printer_evaluator"
,
"chunk_evaluator"
,
"sum_evaluator"
,
"column_sum_evaluator"
,
"gradient_printer_evaluator"
,
"maxid_printer_evaluator"
,
"value_printer_evaluator"
,
"gradient_printer_evaluator"
,
"maxframe_printer_evaluator"
,
"seqtext_printer_evaluator"
,
"maxid_printer_evaluator"
,
"maxframe_printer_evaluator"
,
"classification_error_printer_evaluator"
]
"seqtext_printer_evaluator"
,
"classification_error_printer_evaluator"
]
class
EvaluatorAttribute
(
object
):
class
EvaluatorAttribute
(
object
):
...
@@ -32,10 +33,7 @@ class EvaluatorAttribute(object):
...
@@ -32,10 +33,7 @@ class EvaluatorAttribute(object):
FOR_UTILS
=
1
<<
4
FOR_UTILS
=
1
<<
4
KEYS
=
[
KEYS
=
[
"for_classification"
,
"for_classification"
,
"for_regression"
,
"for_rank"
,
"for_print"
,
"for_regression"
,
"for_rank"
,
"for_print"
,
"for_utils"
"for_utils"
]
]
...
@@ -55,22 +53,23 @@ def evaluator(*attrs):
...
@@ -55,22 +53,23 @@ def evaluator(*attrs):
setattr
(
method
,
EvaluatorAttribute
.
to_key
(
attr
),
True
)
setattr
(
method
,
EvaluatorAttribute
.
to_key
(
attr
),
True
)
method
.
is_evaluator
=
True
method
.
is_evaluator
=
True
return
method
return
method
return
impl
return
impl
def
evaluator_base
(
input
,
def
evaluator_base
(
input
,
type
,
type
,
label
=
None
,
label
=
None
,
weight
=
None
,
weight
=
None
,
name
=
None
,
name
=
None
,
chunk_scheme
=
None
,
chunk_scheme
=
None
,
num_chunk_types
=
None
,
num_chunk_types
=
None
,
classification_threshold
=
None
,
classification_threshold
=
None
,
positive_label
=
None
,
positive_label
=
None
,
dict_file
=
None
,
dict_file
=
None
,
result_file
=
None
,
result_file
=
None
,
num_results
=
None
,
num_results
=
None
,
delimited
=
None
):
delimited
=
None
):
"""
"""
Evaluator will evaluate the network status while training/testing.
Evaluator will evaluate the network status while training/testing.
...
@@ -130,14 +129,14 @@ def evaluator_base(
...
@@ -130,14 +129,14 @@ def evaluator_base(
result_file
=
result_file
,
result_file
=
result_file
,
delimited
=
delimited
)
delimited
=
delimited
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
wrap_name_default
()
@
wrap_name_default
()
def
classification_error_evaluator
(
def
classification_error_evaluator
(
input
,
input
,
label
,
label
,
name
=
None
,
name
=
None
,
weight
=
None
,
weight
=
None
,
threshold
=
None
):
threshold
=
None
):
"""
"""
Classification Error Evaluator. It will print error rate for classification.
Classification Error Evaluator. It will print error rate for classification.
...
@@ -170,13 +169,14 @@ def classification_error_evaluator(
...
@@ -170,13 +169,14 @@ def classification_error_evaluator(
:return: None.
:return: None.
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"classification_error"
,
name
=
name
,
input
=
input
,
type
=
"classification_error"
,
label
=
label
,
input
=
input
,
weight
=
weight
,
label
=
label
,
classification_threshold
=
threshold
,
weight
=
weight
,
)
classification_threshold
=
threshold
,
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
wrap_name_default
()
@
wrap_name_default
()
...
@@ -184,8 +184,7 @@ def auc_evaluator(
...
@@ -184,8 +184,7 @@ def auc_evaluator(
input
,
input
,
label
,
label
,
name
=
None
,
name
=
None
,
weight
=
None
,
weight
=
None
,
):
):
"""
"""
Auc Evaluator which adapts to binary classification.
Auc Evaluator which adapts to binary classification.
...
@@ -205,11 +204,13 @@ def auc_evaluator(
...
@@ -205,11 +204,13 @@ def auc_evaluator(
[sample_num, 1].
[sample_num, 1].
:type weight: LayerOutput
:type weight: LayerOutput
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"last-column-auc"
,
name
=
name
,
input
=
input
,
type
=
"last-column-auc"
,
label
=
label
,
input
=
input
,
weight
=
weight
)
label
=
label
,
weight
=
weight
)
@
evaluator
(
EvaluatorAttribute
.
FOR_RANK
)
@
evaluator
(
EvaluatorAttribute
.
FOR_RANK
)
@
wrap_name_default
()
@
wrap_name_default
()
...
@@ -218,8 +219,7 @@ def pnpair_evaluator(
...
@@ -218,8 +219,7 @@ def pnpair_evaluator(
label
,
label
,
info
,
info
,
name
=
None
,
name
=
None
,
weight
=
None
,
weight
=
None
,
):
):
"""
"""
Positive-negative pair rate Evaluator which adapts to rank task like
Positive-negative pair rate Evaluator which adapts to rank task like
learning to rank. This evaluator must contain at least three layers.
learning to rank. This evaluator must contain at least three layers.
...
@@ -242,12 +242,14 @@ def pnpair_evaluator(
...
@@ -242,12 +242,14 @@ def pnpair_evaluator(
[sample_num, 1]. (TODO, explaination)
[sample_num, 1]. (TODO, explaination)
:type weight: LayerOutput
:type weight: LayerOutput
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"pnpair"
,
name
=
name
,
input
=
input
,
type
=
"pnpair"
,
label
=
label
,
input
=
input
,
info
=
info
,
label
=
label
,
weight
=
weight
)
info
=
info
,
weight
=
weight
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
wrap_name_default
()
@
wrap_name_default
()
...
@@ -256,8 +258,7 @@ def precision_recall_evaluator(
...
@@ -256,8 +258,7 @@ def precision_recall_evaluator(
label
,
label
,
positive_label
=
None
,
positive_label
=
None
,
weight
=
None
,
weight
=
None
,
name
=
None
,
name
=
None
,
):
):
"""
"""
An Evaluator to calculate precision and recall, F1-score.
An Evaluator to calculate precision and recall, F1-score.
It is adapt to the task with multiple labels.
It is adapt to the task with multiple labels.
...
@@ -286,20 +287,21 @@ def precision_recall_evaluator(
...
@@ -286,20 +287,21 @@ def precision_recall_evaluator(
[sample_num, 1]. (TODO, explaination)
[sample_num, 1]. (TODO, explaination)
:type weight: LayerOutput
:type weight: LayerOutput
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"precision_recall"
,
name
=
name
,
input
=
input
,
type
=
"precision_recall"
,
label
=
label
,
input
=
input
,
positive_label
=
positive_label
,
label
=
label
,
weight
=
weight
)
positive_label
=
positive_label
,
weight
=
weight
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
wrap_name_default
()
@
wrap_name_default
()
def
ctc_error_evaluator
(
def
ctc_error_evaluator
(
input
,
input
,
label
,
label
,
name
=
None
,
name
=
None
,
):
):
"""
"""
This evaluator is to calculate sequence-to-sequence edit distance.
This evaluator is to calculate sequence-to-sequence edit distance.
...
@@ -317,10 +319,9 @@ def ctc_error_evaluator(
...
@@ -317,10 +319,9 @@ def ctc_error_evaluator(
label for ctc_layer
label for ctc_layer
:type label: LayerOutput
:type label: LayerOutput
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"ctc_edit_distance"
,
name
=
name
,
type
=
"ctc_edit_distance"
,
input
=
input
,
label
=
label
)
input
=
input
,
label
=
label
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
evaluator
(
EvaluatorAttribute
.
FOR_CLASSIFICATION
)
@
wrap_name_default
()
@
wrap_name_default
()
...
@@ -328,8 +329,7 @@ def chunk_evaluator(
...
@@ -328,8 +329,7 @@ def chunk_evaluator(
input
,
input
,
name
=
None
,
name
=
None
,
chunk_scheme
=
None
,
chunk_scheme
=
None
,
num_chunk_types
=
None
,
num_chunk_types
=
None
,
):
):
"""
"""
Chunk evaluator is used to evaluate segment labelling accuracy for a
Chunk evaluator is used to evaluate segment labelling accuracy for a
sequence. It calculates the chunk detection F1 score.
sequence. It calculates the chunk detection F1 score.
...
@@ -375,19 +375,20 @@ def chunk_evaluator(
...
@@ -375,19 +375,20 @@ def chunk_evaluator(
:type chunk_scheme: basestring
:type chunk_scheme: basestring
:param num_chunk_types: number of chunk types other than "other"
:param num_chunk_types: number of chunk types other than "other"
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"chunk"
,
name
=
name
,
input
=
input
,
type
=
"chunk"
,
chunk_scheme
=
chunk_scheme
,
input
=
input
,
num_chunk_types
=
num_chunk_types
)
chunk_scheme
=
chunk_scheme
,
num_chunk_types
=
num_chunk_types
)
@
evaluator
(
EvaluatorAttribute
.
FOR_UTILS
)
@
evaluator
(
EvaluatorAttribute
.
FOR_UTILS
)
@
wrap_name_default
()
@
wrap_name_default
()
def
sum_evaluator
(
def
sum_evaluator
(
input
,
input
,
name
=
None
,
name
=
None
,
weight
=
None
,
weight
=
None
,
):
):
"""
"""
An Evaluator to sum the result of input.
An Evaluator to sum the result of input.
...
@@ -405,18 +406,15 @@ def sum_evaluator(
...
@@ -405,18 +406,15 @@ def sum_evaluator(
[sample_num, 1]. (TODO, explaination)
[sample_num, 1]. (TODO, explaination)
:type weight: LayerOutput
:type weight: LayerOutput
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
name
=
name
,
type
=
"sum"
,
input
=
input
,
weight
=
weight
)
type
=
"sum"
,
input
=
input
,
weight
=
weight
)
@
evaluator
(
EvaluatorAttribute
.
FOR_UTILS
)
@
evaluator
(
EvaluatorAttribute
.
FOR_UTILS
)
@
wrap_name_default
()
@
wrap_name_default
()
def
column_sum_evaluator
(
def
column_sum_evaluator
(
input
,
input
,
name
=
None
,
name
=
None
,
weight
=
None
,
weight
=
None
,
):
):
"""
"""
This Evaluator is used to sum the last column of input.
This Evaluator is used to sum the last column of input.
...
@@ -431,22 +429,22 @@ def column_sum_evaluator(
...
@@ -431,22 +429,22 @@ def column_sum_evaluator(
:param input: Input Layer name.
:param input: Input Layer name.
:type input: LayerOutput
:type input: LayerOutput
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"last-column-sum"
,
name
=
name
,
type
=
"last-column-sum"
,
input
=
input
,
weight
=
weight
)
input
=
input
,
weight
=
weight
)
"""
"""
The following are printer Evaluators which are usually used to
The following are printer Evaluators which are usually used to
print the result, like value or gradient of input layers, the
print the result, like value or gradient of input layers, the
results generated in machine translation, the classification error etc.
results generated in machine translation, the classification error etc.
"""
"""
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
wrap_name_default
()
@
wrap_name_default
()
def
value_printer_evaluator
(
def
value_printer_evaluator
(
input
,
input
,
name
=
None
,
name
=
None
,
):
):
"""
"""
This Evaluator is used to print the values of input layers. It contains
This Evaluator is used to print the values of input layers. It contains
one or more input layers.
one or more input layers.
...
@@ -462,16 +460,14 @@ def value_printer_evaluator(
...
@@ -462,16 +460,14 @@ def value_printer_evaluator(
:param name: Evaluator name.
:param name: Evaluator name.
:type name: None|basestring
:type name: None|basestring
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
name
=
name
,
type
=
"value_printer"
,
input
=
input
)
type
=
"value_printer"
,
input
=
input
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
wrap_name_default
()
@
wrap_name_default
()
def
gradient_printer_evaluator
(
def
gradient_printer_evaluator
(
input
,
input
,
name
=
None
,
name
=
None
,
):
):
"""
"""
This Evaluator is used to print the gradient of input layers. It contains
This Evaluator is used to print the gradient of input layers. It contains
one or more input layers.
one or more input layers.
...
@@ -487,17 +483,15 @@ def gradient_printer_evaluator(
...
@@ -487,17 +483,15 @@ def gradient_printer_evaluator(
:param name: Evaluator name.
:param name: Evaluator name.
:type name: None|basestring
:type name: None|basestring
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
name
=
name
,
type
=
"gradient_printer"
,
input
=
input
)
type
=
"gradient_printer"
,
input
=
input
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
wrap_name_default
()
@
wrap_name_default
()
def
maxid_printer_evaluator
(
def
maxid_printer_evaluator
(
input
,
input
,
num_results
=
None
,
num_results
=
None
,
name
=
None
,
name
=
None
,
):
):
"""
"""
This Evaluator is used to print maximum top k values and their indexes
This Evaluator is used to print maximum top k values and their indexes
of each row of input layers. It contains one or more input layers.
of each row of input layers. It contains one or more input layers.
...
@@ -517,18 +511,16 @@ def maxid_printer_evaluator(
...
@@ -517,18 +511,16 @@ def maxid_printer_evaluator(
:param name: Evaluator name.
:param name: Evaluator name.
:type name: None|basestring
:type name: None|basestring
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"max_id_printer"
,
name
=
name
,
type
=
"max_id_printer"
,
input
=
input
,
num_results
=
num_results
)
input
=
input
,
num_results
=
num_results
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
wrap_name_default
()
@
wrap_name_default
()
def
maxframe_printer_evaluator
(
def
maxframe_printer_evaluator
(
input
,
input
,
num_results
=
None
,
num_results
=
None
,
name
=
None
,
name
=
None
,
):
):
"""
"""
This Evaluator is used to print the top k frames of each input layers.
This Evaluator is used to print the top k frames of each input layers.
The input layers should contain sequences info or sequences type.
The input layers should contain sequences info or sequences type.
...
@@ -549,10 +541,12 @@ def maxframe_printer_evaluator(
...
@@ -549,10 +541,12 @@ def maxframe_printer_evaluator(
:param name: Evaluator name.
:param name: Evaluator name.
:type name: None|basestring
:type name: None|basestring
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"max_frame_printer"
,
name
=
name
,
input
=
input
,
type
=
"max_frame_printer"
,
num_results
=
num_results
)
input
=
input
,
num_results
=
num_results
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
wrap_name_default
()
@
wrap_name_default
()
...
@@ -562,8 +556,7 @@ def seqtext_printer_evaluator(
...
@@ -562,8 +556,7 @@ def seqtext_printer_evaluator(
id_input
=
None
,
id_input
=
None
,
dict_file
=
None
,
dict_file
=
None
,
delimited
=
None
,
delimited
=
None
,
name
=
None
,
name
=
None
,
):
):
"""
"""
Sequence text printer will print text according to index matrix and a
Sequence text printer will print text according to index matrix and a
dictionary. There can be multiple input to this layer:
dictionary. There can be multiple input to this layer:
...
@@ -636,12 +629,14 @@ def seqtext_printer_evaluator(
...
@@ -636,12 +629,14 @@ def seqtext_printer_evaluator(
inputs
=
[
id_input
,
input
]
inputs
=
[
id_input
,
input
]
input
.
parents
.
append
(
id_input
)
input
.
parents
.
append
(
id_input
)
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"seq_text_printer"
,
name
=
name
,
input
=
inputs
,
type
=
"seq_text_printer"
,
dict_file
=
dict_file
,
input
=
inputs
,
result_file
=
result_file
,
dict_file
=
dict_file
,
delimited
=
delimited
)
result_file
=
result_file
,
delimited
=
delimited
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
evaluator
(
EvaluatorAttribute
.
FOR_PRINT
)
@
wrap_name_default
()
@
wrap_name_default
()
...
@@ -649,8 +644,7 @@ def classification_error_printer_evaluator(
...
@@ -649,8 +644,7 @@ def classification_error_printer_evaluator(
input
,
input
,
label
,
label
,
threshold
=
0.5
,
threshold
=
0.5
,
name
=
None
,
name
=
None
,
):
):
"""
"""
This Evaluator is used to print the classification error of each sample.
This Evaluator is used to print the classification error of each sample.
...
@@ -667,8 +661,9 @@ def classification_error_printer_evaluator(
...
@@ -667,8 +661,9 @@ def classification_error_printer_evaluator(
:param name: Evaluator name.
:param name: Evaluator name.
:type name: None|basestring
:type name: None|basestring
"""
"""
evaluator_base
(
name
=
name
,
evaluator_base
(
type
=
"classification_error_printer"
,
name
=
name
,
input
=
input
,
type
=
"classification_error_printer"
,
label
=
label
,
input
=
input
,
classification_threshold
=
threshold
)
label
=
label
,
classification_threshold
=
threshold
)
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