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Load rng state #990

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Load rng state #990

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d7bbc33
update matmul
sljlp Dec 7, 2022
ce239e4
Merge branch 'develop' of https://github.com/PaddlePaddle/PaddleFleet…
sljlp Dec 9, 2022
fc3e712
add load_rng_state option
sljlp Dec 9, 2022
ae7e91a
update
sljlp Dec 9, 2022
974bf33
laod_meta_state
sljlp Dec 9, 2022
c8fb43b
Merge branch 'develop' into load_rng_state
sljlp Dec 14, 2022
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1 change: 1 addition & 0 deletions ppfleetx/configs/nlp/gpt/pretrain_gpt_base.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@ Engine:
save_epoch: 1
output_dir: ./output
ckpt_dir:
load_meta_state: True


Model:
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16 changes: 11 additions & 5 deletions ppfleetx/core/engine/eager_engine.py
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Expand Up @@ -146,6 +146,7 @@ def configure_optimizers(self):

self._output_dir = self._configs['save_load']['output_dir']
self._ckpt_dir = self._configs['save_load']['ckpt_dir']
self._load_meta_state = self._configs['save_load'].get("load_meta_state", True)

self._compress_configs = None
self.prune_configs = None
Expand Down Expand Up @@ -393,8 +394,12 @@ def fit(self, epoch=1, train_data_loader=None, valid_data_loader=None):

start_epoch = self._load_recovery['epoch']
if self._load_recovery['rng_state'] != -1:
paddle.set_cuda_rng_state(self._load_recovery['rng_state'])

try:
paddle.set_cuda_rng_state(self._load_recovery['rng_state'])
except:
raise ValueError("Set rng state failed. This may be caused by that the current device resources are different with the"
" model's you are loading now. Please Check the cuda device count and specify same CUDA_VISIBLE_DEVICES with the model to load the rng states correctly. ")

for epoch_index in range(start_epoch, epoch):
train_epoch_start = get_timestamp()
self._train_one_epoch(epoch_index, train_data_loader,
Expand Down Expand Up @@ -745,16 +750,17 @@ def load(self):
raise ValueError(
"No optimizer checkpoint file found in %s." % opt_path)

if os.path.exists(meta_path):
if os.path.exists(meta_path) and self._load_meta_state:
meta_dict = paddle.load(meta_path)
self._load_recovery = {
'step': meta_dict['step'],
'epoch': meta_dict['epoch'],
'rng_state': meta_dict['cuda_rng_state']
}
else:
raise ValueError("No meta checkpoint file found in %s." %
meta_path)
if self._load_meta_state:
raise ValueError("No meta checkpoint file found in %s." %
meta_path)

logger.info("successfully load checkpoints")
else:
Expand Down