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OpenDAS
ColossalAI
Commits
730f88f8
Commit
730f88f8
authored
Oct 18, 2022
by
LuGY
Committed by
Frank Lee
Oct 19, 2022
Browse files
[NFC] polish _checkpoint_hook.py code style (#1722)
parent
b38efe4e
Changes
1
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14 deletions
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-14
colossalai/trainer/hooks/_checkpoint_hook.py
colossalai/trainer/hooks/_checkpoint_hook.py
+5
-14
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colossalai/trainer/hooks/_checkpoint_hook.py
View file @
730f88f8
...
@@ -50,32 +50,23 @@ class SaveCheckpointHook(BaseHook):
...
@@ -50,32 +50,23 @@ class SaveCheckpointHook(BaseHook):
break
break
self
.
model
=
self
.
model
if
self
.
model
is
not
None
else
trainer
.
engine
.
model
self
.
model
=
self
.
model
if
self
.
model
is
not
None
else
trainer
.
engine
.
model
def
after_train_iter
(
self
,
trainer
,
output
,
label
,
loss
):
def
after_train_iter
(
self
,
trainer
,
output
,
label
,
loss
):
"""Saves the model after a training iter.
"""Saves the model after a training iter.
"""
"""
# save by interval
# save by interval
if
self
.
save_by_iter
and
trainer
.
cur_step
%
self
.
interval
==
0
:
if
self
.
save_by_iter
and
trainer
.
cur_step
%
self
.
interval
==
0
:
save_checkpoint
(
self
.
checkpoint_dir
,
save_checkpoint
(
self
.
checkpoint_dir
,
trainer
.
cur_epoch
,
self
.
model
,
trainer
.
engine
.
optimizer
,
trainer
.
cur_epoch
,
self
.
model
,
trainer
.
engine
.
optimizer
,
self
.
_lr_scheduler
)
self
.
_lr_scheduler
)
self
.
logger
.
info
(
self
.
logger
.
info
(
f
'checkpoint for iteration
{
trainer
.
cur_step
}
is saved to
{
self
.
checkpoint_dir
}
'
,
f
'checkpoint for iteration
{
trainer
.
cur_step
}
is saved to
{
self
.
checkpoint_dir
}
'
,
ranks
=
[
0
])
ranks
=
[
0
])
else
:
else
:
pass
pass
def
after_train_epoch
(
self
,
trainer
):
def
after_train_epoch
(
self
,
trainer
):
"""Saves the model after a training epoch.
"""Saves the model after a training epoch.
"""
"""
# save by interval
# save by interval
if
trainer
.
cur_epoch
%
self
.
interval
==
0
:
if
trainer
.
cur_epoch
%
self
.
interval
==
0
:
save_checkpoint
(
self
.
checkpoint_dir
,
save_checkpoint
(
self
.
checkpoint_dir
,
trainer
.
cur_epoch
,
self
.
model
,
trainer
.
engine
.
optimizer
,
trainer
.
cur_epoch
,
self
.
model
,
trainer
.
engine
.
optimizer
,
self
.
_lr_scheduler
)
self
.
_lr_scheduler
)
self
.
logger
.
info
(
self
.
logger
.
info
(
f
'checkpoint for epoch
{
trainer
.
cur_epoch
}
is saved to
{
self
.
checkpoint_dir
}
'
,
ranks
=
[
0
])
f
'checkpoint for epoch
{
trainer
.
cur_epoch
}
is saved to
{
self
.
checkpoint_dir
}
'
,
ranks
=
[
0
])
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