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d5ccd221
编写于
5月 06, 2019
作者:
K
Kaipeng Deng
提交者:
GitHub
5月 06, 2019
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差异文件
fix video get learning_rate error (#2172)
* fix video get learning_rate error * refine comment
上级
9952b253
变更
1
隐藏空白更改
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1 changed file
with
25 addition
and
10 deletion
+25
-10
PaddleCV/video/tools/train_utils.py
PaddleCV/video/tools/train_utils.py
+25
-10
未找到文件。
PaddleCV/video/tools/train_utils.py
浏览文件 @
d5ccd221
...
...
@@ -9,6 +9,29 @@ import shutil
logger
=
logging
.
getLogger
(
__name__
)
def
log_lr_and_step
():
try
:
# In optimizers, if learning_rate is set as constant, lr_var
# name is 'learning_rate_0', and iteration counter is not
# recorded. If learning_rate is set as decayed values from
# learning_rate_scheduler, lr_var name is 'learning_rate',
# and iteration counter is recorded with name '@LR_DECAY_COUNTER@',
# better impliment is required here
lr_var
=
fluid
.
global_scope
().
find_var
(
"learning_rate"
)
if
not
lr_var
:
lr_var
=
fluid
.
global_scope
().
find_var
(
"learning_rate_0"
)
lr
=
np
.
array
(
lr_var
.
get_tensor
())
lr_count
=
'[-]'
lr_count_var
=
fluid
.
global_scope
().
find_var
(
"@LR_DECAY_COUNTER@"
)
if
lr_count_var
:
lr_count
=
np
.
array
(
lr_count_var
.
get_tensor
())
logger
.
info
(
"------- learning rate {}, learning rate counter {} -----"
.
format
(
np
.
array
(
lr
),
np
.
array
(
lr_count
)))
except
:
logger
.
warn
(
"Unable to get learning_rate and LR_DECAY_COUNTER."
)
def
test_without_pyreader
(
test_exe
,
test_reader
,
test_feeder
,
...
...
@@ -61,11 +84,7 @@ def train_without_pyreader(exe, train_prog, train_exe, train_reader, train_feede
save_model_name
=
'model'
,
test_exe
=
None
,
test_reader
=
None
,
\
test_feeder
=
None
,
test_fetch_list
=
None
,
test_metrics
=
None
):
for
epoch
in
range
(
epochs
):
lr
=
fluid
.
global_scope
().
find_var
(
"learning_rate"
).
get_tensor
()
lr_count
=
fluid
.
global_scope
().
find_var
(
"@LR_DECAY_COUNTER@"
).
get_tensor
()
logger
.
info
(
"------- learning rate {}, learning rate counter {} -----"
.
format
(
np
.
array
(
lr
),
np
.
array
(
lr_count
)))
log_lr_and_step
()
epoch_periods
=
[]
for
train_iter
,
data
in
enumerate
(
train_reader
()):
cur_time
=
time
.
time
()
...
...
@@ -101,11 +120,7 @@ def train_with_pyreader(exe, train_prog, train_exe, train_pyreader, \
if
not
train_pyreader
:
logger
.
error
(
"[TRAIN] get pyreader failed."
)
for
epoch
in
range
(
epochs
):
lr
=
fluid
.
global_scope
().
find_var
(
"learning_rate"
).
get_tensor
()
lr_count
=
fluid
.
global_scope
().
find_var
(
"@LR_DECAY_COUNTER@"
).
get_tensor
()
logger
.
info
(
"------- learning rate {}, learning rate counter {} -----"
.
format
(
np
.
array
(
lr
),
np
.
array
(
lr_count
)))
log_lr_and_step
()
train_pyreader
.
start
()
train_metrics
.
reset
()
try
:
...
...
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