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915ef9d5
编写于
12月 04, 2019
作者:
C
ceci3
浏览文件
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d5081f7d
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2
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Showing
2 changed file
with
33 addition
and
3 deletion
+33
-3
paddleslim/common/sa_controller.py
paddleslim/common/sa_controller.py
+5
-1
paddleslim/nas/sa_nas.py
paddleslim/nas/sa_nas.py
+28
-2
未找到文件。
paddleslim/common/sa_controller.py
浏览文件 @
915ef9d5
...
...
@@ -13,6 +13,7 @@
# limitations under the License.
"""The controller used to search hyperparameters or neural architecture"""
import
os
import
copy
import
math
import
logging
...
...
@@ -127,12 +128,15 @@ class SAController(EvolutionaryController):
return
new_tokens
def
_save_checkpoint
(
self
,
output_file
):
if
not
os
.
path
.
exists
(
output_dir
):
os
.
makedirs
(
output_dir
)
file_path
=
os
.
path
.
join
(
output_dir
,
'sanas.checkpoints'
)
scene
=
dict
()
for
key
in
self
.
__dict__
():
if
key
in
[
'_checkpoints'
]:
continue
scene
[
key
]
=
self
.
__dict__
[
key
]
f
=
open
(
output_file
,
'w'
)
f
=
open
(
file_path
,
'w'
)
json
.
dump
(
scene
)
f
.
close
()
paddleslim/nas/sa_nas.py
浏览文件 @
915ef9d5
...
...
@@ -12,9 +12,11 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import
os
import
socket
import
logging
import
numpy
as
np
import
json
import
hashlib
import
paddle.fluid
as
fluid
from
..core
import
VarWrapper
,
OpWrapper
,
GraphWrapper
...
...
@@ -39,6 +41,8 @@ class SANAS(object):
reduce_rate
=
0.85
,
search_steps
=
300
,
key
=
"sa_nas"
,
save_checkpoint
=
None
,
load_checkpoint
=
None
,
is_server
=
False
):
"""
Search a group of ratios used to prune program.
...
...
@@ -75,13 +79,35 @@ class SANAS(object):
range_table
=
self
.
_search_space
.
range_table
()
range_table
=
(
len
(
range_table
)
*
[
0
],
range_table
)
_logger
.
info
(
"range table: {}"
.
format
(
range_table
))
if
load_checkpoint
!=
None
:
assert
os
.
path
.
exists
(
load_checkpoint
)
==
True
,
'load checkpoint file NOT EXIST!!! Please check the directory of checkpoint!!!'
checkpoint_path
=
os
.
path
.
join
(
load_checkpoint
,
'sanas.checkpoints'
)
scene
=
json
.
load
(
checkpoint_path
)
preinit_tokens
=
scene
[
'_init_tokens'
]
prereward
=
scene
[
'_reward'
]
premax_reward
=
scene
[
'_max_reward'
]
prebest_tokens
=
scene
[
'_best_tokens'
]
preiter
=
scene
[
'_iter'
]
else
:
preinit_tokens
=
None
prereward
=
-
1
premax_reward
=
-
1
prebest_tokens
=
init_tokens
preiter
=
0
controller
=
SAController
(
range_table
,
self
.
_reduce_rate
,
self
.
_init_temperature
,
max_try_times
=
None
,
init_tokens
=
init_tokens
,
constrain_func
=
None
)
init_tokens
=
preinit_tokens
,
reward
=
prereward
,
max_reward
=
premax_reward
,
iters
=
preiter
,
best_tokens
=
prebest_tokens
,
constrain_func
=
None
,
checkpoints
=
save_checkpoint
)
max_client_num
=
100
self
.
_controller_server
=
ControllerServer
(
...
...
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