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体验新版 GitCode,发现更多精彩内容 >>
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efce5514
编写于
7月 19, 2019
作者:
S
SunAhong1993
浏览文件
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浏览文件
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电子邮件补丁
差异文件
add caffe emitter v1
上级
2f9e2ca9
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
7 addition
and
7 deletion
+7
-7
x2paddle/emitter/caffe_emitter.py
x2paddle/emitter/caffe_emitter.py
+7
-7
未找到文件。
x2paddle/emitter/caffe_emitter.py
浏览文件 @
efce5514
...
...
@@ -164,7 +164,7 @@ class CaffeEmitter(Emitter):
node
.
layer_type
,
params
)
assert
len
(
node
.
inputs
)
==
1
,
'The count of Convolution node
\'
s input is not 1.'
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
)
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
,
copy
=
True
)
attr
=
{
'filter_size'
:
kernel
,
'num_filters'
:
channel
,
...
...
@@ -192,7 +192,7 @@ class CaffeEmitter(Emitter):
node
.
layer_type
,
params
)
assert
len
(
node
.
inputs
)
==
1
,
'The count of Deconvolution node
\'
s input is not 1.'
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
)
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
,
copy
=
True
)
attr
=
{
'output_size'
:
None
,
'filter_size'
:
kernel
,
...
...
@@ -220,7 +220,7 @@ class CaffeEmitter(Emitter):
pool_type
=
'avg'
assert
len
(
node
.
inputs
)
==
1
,
'The count of Pooling node
\'
s input is not 1.'
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
)
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
,
copy
=
True
)
attr
=
{
'pool_size'
:
kernel
,
'pool_stride'
:
stride
,
...
...
@@ -238,7 +238,7 @@ class CaffeEmitter(Emitter):
def
ReLU
(
self
,
node
):
assert
len
(
node
.
inputs
)
==
1
,
'The count of ReLU node
\'
s input is not 1.'
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
)
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
,
copy
=
True
)
attr
=
{
'name'
:
string
(
node
.
layer_name
)}
node
.
fluid_code
.
add_layer
(
"relu"
,
inputs
=
input
,
...
...
@@ -255,7 +255,7 @@ class CaffeEmitter(Emitter):
# just scales by alpha (as does Krizhevsky's paper).
# We'll account for that here.
alpha
=
params
.
alpha
/
float
(
params
.
local_size
)
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
)
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
,
copy
=
True
)
attr
=
{
'n'
:
params
.
local_size
,
'k'
:
1.0
,
...
...
@@ -288,7 +288,7 @@ class CaffeEmitter(Emitter):
params
=
node
.
layer
.
inner_product_param
assert
params
.
axis
==
1
assert
params
.
bias_term
==
True
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
)
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
,
copy
=
True
)
attr
=
{
'size'
:
params
.
num_output
,
'name'
:
string
(
node
.
layer_name
),
...
...
@@ -304,7 +304,7 @@ class CaffeEmitter(Emitter):
def
Softmax
(
self
,
node
):
assert
len
(
node
.
inputs
)
==
1
,
'The count of Softmax node
\'
s input is not 1.'
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
)
input
=
self
.
graph
.
get_bottom_node
(
node
,
idx
=
0
,
copy
=
True
)
params
=
node
.
layer
.
softmax_param
axis
=
params
.
axis
shape
=
node
.
input_shape
[
0
]
...
...
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