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6c654c01
编写于
4月 25, 2017
作者:
D
dangqingqing
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resolve conflicts
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7f3e576e
80277b50
变更
4
隐藏空白更改
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Showing
4 changed file
with
129 addition
and
4 deletion
+129
-4
python/paddle/trainer_config_helpers/tests/configs/file_list.sh
.../paddle/trainer_config_helpers/tests/configs/file_list.sh
+1
-1
python/paddle/trainer_config_helpers/tests/configs/generate_protostr.sh
...trainer_config_helpers/tests/configs/generate_protostr.sh
+6
-0
python/paddle/trainer_config_helpers/tests/configs/protostr/test_pad.protostr
...r_config_helpers/tests/configs/protostr/test_pad.protostr
+120
-0
python/paddle/trainer_config_helpers/tests/configs/test_pad.py
...n/paddle/trainer_config_helpers/tests/configs/test_pad.py
+2
-3
未找到文件。
python/paddle/trainer_config_helpers/tests/configs/file_list.sh
浏览文件 @
6c654c01
...
...
@@ -5,6 +5,6 @@ last_first_seq test_expand_layer test_ntm_layers test_hsigmoid
img_layers img_trans_layers util_layers simple_rnn_layers unused_layers test_cost_layers
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_smooth_l1
)
test_seq_concat_reshape test_
pad test_
smooth_l1
)
export
whole_configs
=(
test_split_datasource
)
python/paddle/trainer_config_helpers/tests/configs/generate_protostr.sh
浏览文件 @
6c654c01
...
...
@@ -11,6 +11,9 @@ for conf in ${configs[*]}
do
echo
"Generating "
$conf
$1
-m
paddle.utils.dump_config
$conf
.py
>
$protostr
/
$conf
.protostr.unittest
if
[
!
-f
"
$protostr
/
$conf
.protostr"
]
;
then
cp
$protostr
/
$conf
.protostr.unittest
$protostr
/
$conf
.protostr
fi
cat
${
conf
}
.py |
$1
test_config_parser_for_non_file_config.py
>
$protostr
/
$conf
.protostr.non_file_config.unittest
done
...
...
@@ -18,5 +21,8 @@ for conf in ${whole_configs[*]}
do
echo
"Generating "
$conf
$1
-m
paddle.utils.dump_config
$conf
.py
""
--whole
>
$protostr
/
$conf
.protostr.unittest
if
[
!
-f
"
$protostr
/
$conf
.protostr"
]
;
then
cp
$protostr
/
$conf
.protostr.unittest
$protostr
/
$conf
.protostr
fi
cat
${
conf
}
.py |
$1
test_config_parser_for_non_file_config.py
--whole
>
$protostr
/
$conf
.protostr.non_file_config.unittest
done
python/paddle/trainer_config_helpers/tests/configs/protostr/test_pad.protostr
0 → 100644
浏览文件 @
6c654c01
type: "nn"
layers {
name: "data"
type: "data"
size: 2016
active_type: ""
height: 48
width: 42
}
layers {
name: "__conv_0__"
type: "exconv"
size: 32256
active_type: ""
inputs {
input_layer_name: "data"
input_parameter_name: "___conv_0__.w0"
conv_conf {
filter_size: 3
channels: 1
stride: 1
padding: 1
groups: 1
filter_channels: 1
output_x: 42
img_size: 42
caffe_mode: true
filter_size_y: 3
padding_y: 1
stride_y: 1
output_y: 48
img_size_y: 48
}
}
bias_parameter_name: "___conv_0__.wbias"
num_filters: 16
shared_biases: true
height: 48
width: 42
}
layers {
name: "__pool_0__"
type: "pool"
size: 8064
active_type: ""
inputs {
input_layer_name: "__conv_0__"
pool_conf {
pool_type: "max-projection"
channels: 16
size_x: 2
stride: 2
output_x: 21
img_size: 42
padding: 0
size_y: 2
stride_y: 2
output_y: 24
img_size_y: 48
padding_y: 0
}
}
height: 24
width: 21
}
layers {
name: "__pad_0__"
type: "pad"
size: 14175
active_type: ""
inputs {
input_layer_name: "__pool_0__"
pad_conf {
image_conf {
channels: 16
img_size: 21
img_size_y: 24
}
pad_c: 2
pad_c: 3
pad_h: 1
pad_h: 2
pad_w: 3
pad_w: 1
}
}
height: 27
width: 25
}
parameters {
name: "___conv_0__.w0"
size: 144
initial_mean: 0.0
initial_std: 0.471404520791
initial_strategy: 0
initial_smart: false
}
parameters {
name: "___conv_0__.wbias"
size: 16
initial_mean: 0.0
initial_std: 0.0
dims: 16
dims: 1
initial_strategy: 0
initial_smart: false
}
input_layer_names: "data"
output_layer_names: "__pad_0__"
sub_models {
name: "root"
layer_names: "data"
layer_names: "__conv_0__"
layer_names: "__pool_0__"
layer_names: "__pad_0__"
input_layer_names: "data"
output_layer_names: "__pad_0__"
is_recurrent_layer_group: false
}
python/paddle/trainer_config_helpers/tests/configs/test_pad.py
浏览文件 @
6c654c01
...
...
@@ -2,7 +2,7 @@ from paddle.trainer_config_helpers import *
settings
(
batch_size
=
1000
,
learning_rate
=
1e-5
)
data
=
data_layer
(
name
=
'data'
,
size
=
2
304
,
height
=
48
,
width
=
42
)
data
=
data_layer
(
name
=
'data'
,
size
=
2
016
,
height
=
48
,
width
=
42
)
conv
=
img_conv_layer
(
input
=
data
,
...
...
@@ -13,8 +13,7 @@ conv = img_conv_layer(
act
=
LinearActivation
(),
bias_attr
=
True
)
pool
=
img_pool_layer
(
input
=
conv
,
num_channels
=
8
,
pool_size
=
2
,
stride
=
2
,
pool_type
=
MaxPooling
())
pool
=
img_pool_layer
(
input
=
conv
,
pool_size
=
2
,
stride
=
2
,
pool_type
=
MaxPooling
())
pad
=
pad_layer
(
input
=
pool
,
pad_c
=
[
2
,
3
],
pad_h
=
[
1
,
2
],
pad_w
=
[
3
,
1
])
...
...
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