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体验新版 GitCode,发现更多精彩内容 >>
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b8ff8275
编写于
8月 04, 2017
作者:
Y
Yi Wang
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差异文件
Merge branch 'develop' of
https://github.com/paddlepaddle/paddle
into reformat-paddle-operators
上级
9620df44
dc21a58b
变更
4
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Showing
4 changed file
with
156 addition
and
1 deletion
+156
-1
paddle/trainer/tests/compare_sparse_data
paddle/trainer/tests/compare_sparse_data
+0
-0
paddle/trainer/tests/sample_trainer_config_compare_sparse.conf
...e/trainer/tests/sample_trainer_config_compare_sparse.conf
+154
-0
paddle/trainer/tests/test_CompareSparse.cpp
paddle/trainer/tests/test_CompareSparse.cpp
+1
-1
paddle/trainer/tests/train_sparse.list
paddle/trainer/tests/train_sparse.list
+1
-0
未找到文件。
paddle/trainer/tests/compare_sparse_data
0 → 100644
浏览文件 @
b8ff8275
文件已添加
paddle/trainer/tests/sample_trainer_config_compare_sparse.conf
0 → 100644
浏览文件 @
b8ff8275
#edit-mode: -*- python -*-
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#Todo(luotao02) This config is only used for unitest. It is out of date now, and will be updated later.
# Note: when making change to this file, please make sure
# sample_trainer_config_rnn.conf is changed accordingly so that the uniitest
# for comparing these two nets can pass (test_CompareTwoNets)
default_initial_std
(
0
.
1
)
default_device
(
0
)
word_dim
=
999
l1
=
0
l2
=
0
model_type
(
"nn"
)
sparse_update
=
get_config_arg
(
"sparse_update"
,
bool
,
False
)
TrainData
(
ProtoData
(
type
=
"proto_sequence"
,
files
= (
'trainer/tests/train_sparse.list'
),
))
Settings
(
algorithm
=
'sgd'
,
batch_size
=
100
,
learning_rate
=
0
.
0001
,
learning_rate_decay_a
=
4
e
-
08
,
learning_rate_decay_b
=
0
.
0
,
learning_rate_schedule
=
'poly'
,
)
wordvec_dim
=
32
layer2_dim
=
16
layer3_dim
=
16
hidden_dim
=
32
slot_names
= [
"qb"
,
"qw"
,
"tb"
,
"tw"
]
def
ltr_network
(
network_name
,
word_dim
=
word_dim
,
wordvec_dim
=
wordvec_dim
,
layer2_dim
=
layer2_dim
,
layer3_dim
=
layer3_dim
,
hidden_dim
=
hidden_dim
,
slot_names
=
slot_names
,
l1
=
l1
,
l2
=
l2
):
slotnum
=
len
(
slot_names
)
for
i
in
xrange
(
slotnum
):
Inputs
(
slot_names
[
i
] +
network_name
)
for
i
in
xrange
(
slotnum
):
Layer
(
name
=
slot_names
[
i
] +
network_name
,
type
=
"data"
,
size
=
word_dim
,
device
= -
1
,
)
Layer
(
name
=
slot_names
[
i
] +
"_embedding_"
+
network_name
,
type
=
"mixed"
,
size
=
wordvec_dim
,
bias
=
False
,
device
= -
1
,
inputs
=
TableProjection
(
slot_names
[
i
] +
network_name
,
parameter_name
=
"embedding.w0"
,
decay_rate_l1
=
l1
,
sparse_remote_update
=
True
,
sparse_update
=
sparse_update
,
),
)
Layer
(
name
=
slot_names
[
i
] +
"_rnn1_"
+
network_name
,
type
=
"recurrent"
,
active_type
=
"tanh"
,
bias
=
Bias
(
initial_std
=
0
,
parameter_name
=
"rnn1.bias"
),
inputs
=
Input
(
slot_names
[
i
] +
"_embedding_"
+
network_name
,
parameter_name
=
"rnn1.w0"
)
)
Layer
(
name
=
slot_names
[
i
] +
"_rnnlast_"
+
network_name
,
type
=
"seqlastins"
,
inputs
= [
slot_names
[
i
] +
"_rnn1_"
+
network_name
,
],
)
Layer
(
name
=
"layer2_"
+
network_name
,
type
=
"fc"
,
active_type
=
"tanh"
,
size
=
layer2_dim
,
bias
=
Bias
(
parameter_name
=
"layer2.bias"
),
inputs
= [
Input
(
slot_name
+
"_rnnlast_"
+
network_name
,
parameter_name
=
"_layer2_"
+
slot_name
+
".w"
,
decay_rate
=
l2
,
initial_smart
=
True
)
for
slot_name
in
slot_names
]
)
Layer
(
name
=
"layer3_"
+
network_name
,
type
=
"fc"
,
active_type
=
"tanh"
,
size
=
layer3_dim
,
bias
=
Bias
(
parameter_name
=
"layer3.bias"
),
inputs
= [
Input
(
"layer2_"
+
network_name
,
parameter_name
=
"_layer3.w"
,
decay_rate
=
l2
,
initial_smart
=
True
),
]
)
Layer
(
name
=
"output_"
+
network_name
,
type
=
"fc"
,
size
=
1
,
bias
=
False
,
inputs
= [
Input
(
"layer3_"
+
network_name
,
parameter_name
=
"_layerO.w"
),
],
)
ltr_network
(
"left"
)
ltr_network
(
"right"
)
Inputs
(
"label"
)
Layer
(
name
=
"label"
,
type
=
"data"
,
size
=
1
,
)
Outputs
(
"cost"
,
"qb_rnnlast_left"
)
Layer
(
name
=
"cost"
,
type
=
"rank-cost"
,
inputs
= [
"output_left"
,
"output_right"
,
"label"
],
)
paddle/trainer/tests/test_CompareSparse.cpp
浏览文件 @
b8ff8275
...
@@ -23,7 +23,7 @@ using namespace paddle; // NOLINT
...
@@ -23,7 +23,7 @@ using namespace paddle; // NOLINT
using
namespace
std
;
// NOLINT
using
namespace
std
;
// NOLINT
static
const
string
&
configFile1
=
static
const
string
&
configFile1
=
"trainer/tests/sample_trainer_config_
qb_rnn
.conf"
;
"trainer/tests/sample_trainer_config_
compare_sparse
.conf"
;
DECLARE_bool
(
use_gpu
);
DECLARE_bool
(
use_gpu
);
DECLARE_string
(
config
);
DECLARE_string
(
config
);
...
...
paddle/trainer/tests/train_sparse.list
0 → 100644
浏览文件 @
b8ff8275
trainer/tests/compare_sparse_data
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